Anthropic vs Fireworks AI

SEPT 2026 audit

A comparison of Anthropic and Fireworks AI built from values read directly from each provider's own documentation, with the source recorded against every figure.

Reviewed by Palash BagchiUpdated September 202625 criteria comparedSources last checked 3 October 2026

This comparison is not published yet.

It does not meet the quality gate, so the page is marked noindex until the missing data is sourced.

— Anthropic's pricing_model was verified 49 days ago; the limit for this fact is 30.
— Anthropic's batch_discount was verified 49 days ago; the limit for this fact is 30.
— Anthropic's startup_credit_program was verified 44 days ago; the limit for this fact is 30.
— Anthropic's free_tier was verified 42 days ago; the limit for this fact is 30.
— Anthropic's regions was verified 42 days ago; the limit for this fact is 30.
— Anthropic's rate_limits was verified 42 days ago; the limit for this fact is 30.
— Anthropic's free_offer_type was verified 42 days ago; the limit for this fact is 30.
— Anthropic's soc2 was verified 42 days ago; the limit for this fact is 30.
— Anthropic's iso27001 was verified 42 days ago; the limit for this fact is 30.
— Anthropic's hipaa_eligible was verified 42 days ago; the limit for this fact is 30.
— Anthropic's gdpr_data_residency was verified 42 days ago; the limit for this fact is 30.
— Anthropic's encryption_at_rest was verified 42 days ago; the limit for this fact is 30.
— Anthropic's customer_managed_keys was verified 42 days ago; the limit for this fact is 30.
— Anthropic's rbac was verified 42 days ago; the limit for this fact is 30.
— Anthropic's private_networking was verified 42 days ago; the limit for this fact is 30.
— Anthropic's dedicated_infrastructure was verified 42 days ago; the limit for this fact is 30.
— Anthropic's flagship_input_price was verified 41 days ago; the limit for this fact is 30.
— Anthropic's flagship_output_price was verified 41 days ago; the limit for this fact is 30.
— Anthropic's budget_input_price was verified 41 days ago; the limit for this fact is 30.
— Anthropic's context_window was verified 41 days ago; the limit for this fact is 30.
— Anthropic's max_output_tokens was verified 41 days ago; the limit for this fact is 30.
— Anthropic's prompt_caching was verified 41 days ago; the limit for this fact is 30.
— Fireworks AI's free_tier was verified 49 days ago; the limit for this fact is 30.
— Fireworks AI's pricing_model was verified 49 days ago; the limit for this fact is 30.
— Fireworks AI's flagship_input_price was verified 49 days ago; the limit for this fact is 30.
— Fireworks AI's flagship_output_price was verified 49 days ago; the limit for this fact is 30.
— Fireworks AI's budget_input_price was verified 49 days ago; the limit for this fact is 30.
— Fireworks AI's context_window was verified 49 days ago; the limit for this fact is 30.
— Fireworks AI's prompt_caching was verified 49 days ago; the limit for this fact is 30.
— Fireworks AI's gpu_hourly_price was verified 49 days ago; the limit for this fact is 30.
— Fireworks AI's max_vram was verified 49 days ago; the limit for this fact is 30.
— Fireworks AI's free_offer_type was verified 49 days ago; the limit for this fact is 30.
— Fireworks AI's max_output_tokens was verified 48 days ago; the limit for this fact is 30.
— Fireworks AI's regions was verified 42 days ago; the limit for this fact is 30.
— Fireworks AI's batch_discount was verified 42 days ago; the limit for this fact is 30.
— Fireworks AI's rate_limits was verified 42 days ago; the limit for this fact is 30.
— Fireworks AI's soc2 was verified 42 days ago; the limit for this fact is 30.
— Fireworks AI's iso27001 was verified 42 days ago; the limit for this fact is 30.
— Fireworks AI's hipaa_eligible was verified 42 days ago; the limit for this fact is 30.
— Fireworks AI's gdpr_data_residency was verified 42 days ago; the limit for this fact is 30.
— Fireworks AI's pci_dss was verified 42 days ago; the limit for this fact is 30.
— Fireworks AI's encryption_at_rest was verified 42 days ago; the limit for this fact is 30.
— Fireworks AI's customer_managed_keys was verified 42 days ago; the limit for this fact is 30.
— Fireworks AI's rbac was verified 42 days ago; the limit for this fact is 30.
— Fireworks AI's private_networking was verified 42 days ago; the limit for this fact is 30.
— Fireworks AI's dedicated_infrastructure was verified 42 days ago; the limit for this fact is 30.

The short answer

Choose Anthropic if…

Teams that want the full 1M-token window at the standard per-token rate rather than a long-context surcharge, and that can use caching and batch to cut a frontier-model bill roughly in half.

Editorial · Palash Bagchi · approved

Choose Fireworks AI if…

Running open-weight models without operating GPUs — the same DeepSeek and Qwen checkpoints the labs publish, served per token, with a path to dedicated hardware if throughput demands it.

Editorial · Palash Bagchi · approved

Consider something else if…

Anthropic: Its cheapest model is $1 per million input tokens, several times what the budget tiers at Google, OpenAI and DeepSeek charge, so high-volume simple work is priced against you.
Fireworks AI: You want a frontier proprietary model: Fireworks serves other people's open weights, so the ceiling is whatever the open ecosystem has released.

18 sourced criteria separate them — see where, with sources, below.

Visit Anthropic documentation Visit Fireworks AI documentation

No affiliate links, sponsored placements or paid rankings appear on this site. Ordering follows the sourced data and the stated criteria.

01.

At a glance.

Criterion	Anthropic	Fireworks AI
Pricing
Free tier	No	No
Kind of free offer	Free credit	Free credit
Pricing model	Per million tokens, priced separately for input and output and per model, with multipliers stacked on top: prompt caching, a 50% batch discount, a 1.1x uplift for US-only inference on Claude 4.6 and later, and a fast-mode premium.	Three products on one bill. Serverless inference is per token, per model. Fine-tuning is per million TRAINING tokens by parameter band — $0.50 for models up to 16B, $10.00 above 300B. Dedicated GPUs are hourly: $7.00 for an H100 or H200, $10.00 for a B200.
Infrastructure
Regions	Two inference geos on the Claude API: "global" (the default, any available geography) and "us" (US-based infrastructure only, priced at 1.1x on Claude 4.6 and later). Workspace storage geo is "us" only.	Multi-regions GLOBAL, US, EUROPE and APAC, plus 26 named Fireworks-managed single regions (US, Canada, Frankfurt, Iceland, Tokyo, New South Wales, Malaysia) for dedicated deployments. Only GLOBAL has quota by default; other placements must be granted by Fireworks.
Inference
Input price, top model	$10 per million input tokens for Claude Fable 5.1, the most capable model.	$3.00 per million input tokens for Kimi K3, the most expensive model in its serverless catalogue. Fireworks hosts other labs' open-weight models rather than its own, so "flagship" here means the top of what it serves.
Output price, top model	$50 per million output tokens for Claude Fable 5.1.	$15.00 per million output tokens for Kimi K3.
Input price, cheapest model	$1 per million input tokens for Claude Haiku 4.5, the cheapest current model.	$0.15 per million input tokens for GLM 5.3 Flash, with output at $0.50. DeepSeek-V4-Flash is $0.22 in and $0.66 out — the same model DeepSeek itself sells at $0.44 peak.
Context window	1M tokens on Claude Fable 5.1, Claude Opus 5 and Claude Sonnet 5; 200K on Claude Haiku 4.5.	1,048,576 tokens on Kimi K3, GLM 5.3 and both DeepSeek V4 variants; 262,144 on Qwen3.8 and 131,072 on Muse Glimmer 30B. The window is the model's, not Fireworks'.
Max output tokens	128K tokens on the top three models, 64K on Claude Haiku 4.5.	No separate output cap. max_tokens is bounded by the model's context length — prompt plus completion must fit inside it — and what happens on overflow is set by context_length_exceeded_behavior rather than a fixed ceiling.
Prompt caching	Supported — Priced separately: 5-minute and 1-hour cache writes, with cheaper cache hits and refreshes.	Supported
Batch discount	50% off both input and output tokens through the Batch API, for asynchronous processing.	Batch API processes async requests at 50% off serverless per-token prices; cached tokens get a further 50% off via automatic prompt caching.
Rate limits	Per-organization limits set by usage tier (Start, Build, Scale, Custom). On the Start tier the Messages API allows 1,000 RPM with 2,000,000 input and 400,000 output tokens per minute for Claude Opus 5, Sonnet 5 and Haiku 4.5, under a $500/month spend cap.	Adaptive serverless TPM ceilings by model size: 64.8M total prompt / 648k generated TPM under 400B params, down to 21.6M / 216k at 1.6T+ params. Ceilings are upper bounds; effective limits ramp with usage and spending tier.
Compliance
SOC 2	SOC 2 Type II; the Trust Center lists a 2025 Type 2 SOC 2 and CSA STAR L2 report, a SOC 3 report and a 2026 bridge letter, released on access request.	SOC 2 Type II certified; audit reports available in the Fireworks Trust Center.
ISO 27001	ISO 27001:2022 certified, with an ISO 27001 Certificate (2025) and an ISO/IEC 42001:2023 certificate listed in the Trust Center.	ISO 27001 achieved for its ISMS, alongside ISO 27701 and ISO 42001; certificate PDFs downloadable from the Fireworks Trust Center.
HIPAA	HIPAA-ready on the Claude API with a signed BAA; Claude Code, Console usage, Claude Platform on AWS and Microsoft Foundry are not covered.	States it is HIPAA compliant and supports healthcare and life sciences organizations.
GDPR / data residency	Inference geo is chosen per request ("global" or "us"); workspace data-at-rest geo is fixed at creation and "us" is currently the only option.	Enterprise-only data residency pins all account inference to one region; US (us.api.fireworks.ai) is the only listed option, default is None, other regions via sales.
Encryption at rest	Workspace data is encrypted at rest under Anthropic's default encryption; an opt-in customer-managed key can replace it.	Encrypted at rest with AES-256, and in transit with TLS 1.2+.
Customer-managed keys	Optional CMEK using a key in your own AWS KMS, Google Cloud KMS or Azure Key Vault; US regions only, permanent once enabled, activated by the account team.	Bring your own AWS KMS, Google Cloud KMS or Azure Key Vault key; CMEK covers training datasets and checkpoints (LoRA SFT, DPO, RFT), not full-parameter training. Final model weights listed as "Coming soon" on the same page.
Role-based access control	Claude Enterprise members hold one of five organization roles, plus custom roles attached to groups; the Admin API reads groups and custom roles.	Four account roles - Admin, User, Contributor and Inference User - with documented per-role resource and API-key permissions. Contributor and Inference User must be enabled by Fireworks support.
Private networking / VPC	AWS PrivateLink is supported for connecting your VPC to the Claude Platform on AWS endpoint. Claude Platform on AWS; the statement does not extend to the first-party api.anthropic.com endpoint.	Bring Your Own Cluster (Enterprise, Private Preview) runs Fireworks inference inside your own Kubernetes cluster, cloud account or data-center network boundary.
Dedicated infrastructure	Priority Tier capacity commitments are no longer sold; existing ones run to their contract end date and guaranteed capacity goes through sales.	On-demand deployments run on dedicated GPUs billed per GPU-second, with no hard rate limits and performance unaffected by other users.

Only criteria both providers publish appear here; a tinted cell marks a real difference. Criteria only one of them documents are listed below, and an absence there means we found no source — not that the feature is missing. How we source this.

The small bar above a value is inetGeek's own lean toward that side — computed from the same facts shown, never a number the provider published. See the picker below "The short answer" to weigh only the criteria you care about.

02.

Where they differ.

Pricing model

Anthropic: Per million tokens, priced separately for input and output and per model, with multipliers stacked on top: prompt caching, a 50% batch discount, a 1.1x uplift for US-only inference on Claude 4.6 and later, and a fast-mode premium.
Fireworks AI: Three products on one bill. Serverless inference is per token, per model. Fine-tuning is per million TRAINING tokens by parameter band — $0.50 for models up to 16B, $10.00 above 300B. Dedicated GPUs are hourly: $7.00 for an H100 or H200, $10.00 for a B200.

Sources (2) →

Pricing — Claude Docs ↗
“This page provides detailed pricing information for Anthropic's models and features. All prices are in USD. [...] These multipliers stack with other pricing modifiers, including the Batch API discount and data residency. [...] specifying US-only inference through the inference_geo parameter incurs a 1.1x multiplier on all token pricing categories”
Read 2026-09-06 · official pricing · Report a correction
Pricing — Fireworks AI ↗
“MODELS UP TO 16B PARAMETERS $0.50 $1.00 $1.00 $2.00 [...] MODELS >300B (E.G. DEEPSEEK V3, KIMI K2) $10.00 $20.00 $20.00 $40.00 [...] H100 80 GB GPU $7.00 $8.00 H200 141 GB GPU $7.00 $8.00 B200 180 GB GPU $10.00 $13.00”
Read 2026-09-06 · official pricing · Report a correction

Regions

Anthropic: Two inference geos on the Claude API: "global" (the default, any available geography) and "us" (US-based infrastructure only, priced at 1.1x on Claude 4.6 and later). Workspace storage geo is "us" only.
Fireworks AI: Multi-regions GLOBAL, US, EUROPE and APAC, plus 26 named Fireworks-managed single regions (US, Canada, Frankfurt, Iceland, Tokyo, New South Wales, Malaysia) for dedicated deployments. Only GLOBAL has quota by default; other placements must be granted by Fireworks.

Sources (2) →

Data residency - Claude Platform Docs ↗
“Default. Inference may run in any available geography for optimal performance and availability. [...] Inference runs only in US-based infrastructure. [...] is the only available workspace geo.”
Read 2026-09-13 · official docs · Report a correction
Regions - Fireworks AI Docs ↗
“Supported multi-regions: GLOBAL , US , EUROPE , APAC . [...] Single regions are concrete locations (e.g. US_IOWA_1 , EU_FRANKFURT_1 ) where your deployment can run.”
Read 2026-09-13 · official docs · Report a correction

Input price, top model

Anthropic: $10 per million input tokens for Claude Fable 5.1, the most capable model.
Fireworks AI: $3.00 per million input tokens for Kimi K3, the most expensive model in its serverless catalogue. Fireworks hosts other labs' open-weight models rather than its own, so "flagship" here means the top of what it serves.

Sources (2) →

Pricing — Claude Docs ↗
“Model Base input tokens 5m cache writes 1h cache writes Cache hits and refreshes Output tokens Claude Fable 5.1 $10 / MTok $12.50 / MTok $20 / MTok $0.25 / MTok 1 $50 / MTok”
Read 2026-09-14 · official pricing · Report a correction
Models — Fireworks AI ↗
“Kimi K3 $3/M Input • $15/M Output • 1048576 Context”
Read 2026-09-06 · official pricing · Report a correction

Output price, top model

Anthropic: $50 per million output tokens for Claude Fable 5.1.
Fireworks AI: $15.00 per million output tokens for Kimi K3.

Sources (2) →

Pricing — Claude Docs ↗
“Model Base input tokens 5m cache writes 1h cache writes Cache hits and refreshes Output tokens Claude Fable 5.1 $10 / MTok $12.50 / MTok $20 / MTok $0.25 / MTok 1 $50 / MTok”
Read 2026-09-14 · official pricing · Report a correction
Models — Fireworks AI ↗
“Kimi K3 $3/M Input • $15/M Output • 1048576 Context”
Read 2026-09-06 · official pricing · Report a correction

Input price, cheapest model

Anthropic: $1 per million input tokens for Claude Haiku 4.5, the cheapest current model.
Fireworks AI: $0.15 per million input tokens for GLM 5.3 Flash, with output at $0.50. DeepSeek-V4-Flash is $0.22 in and $0.66 out — the same model DeepSeek itself sells at $0.44 peak.

Sources (2) →

Pricing — Claude Docs ↗
“Claude Haiku 4.5 $1 / MTok $1.25 / MTok $2 / MTok $0.10 / MTok $5 / MTok”
Read 2026-09-14 · official pricing · Report a correction
Models — Fireworks AI ↗
“GLM 5.3 Flash $0.15/M Input • $0.5/M Output • 1048576 Context [...] DeepSeek-V4-Flash-0731 $0.22/M Input • $0.66/M Output • 1048576 Context”
Read 2026-09-06 · official pricing · Report a correction

Context window

Anthropic

1M tokens on Claude Fable 5.1, Claude Opus 5 and Claude Sonnet 5; 200K on Claude Haiku 4.5.

Fireworks AI

1,048,576 tokens on Kimi K3, GLM 5.3 and both DeepSeek V4 variants; 262,144 on Qwen3.8 and 131,072 on Muse Glimmer 30B. The window is the model's, not Fireworks'.

Sources (2) →

Models overview — Claude Docs ↗
“Context window 1M tokens 1M tokens 1M tokens 200K tokens Max output 128K tokens 128K tokens 128K tokens 64K tokens”
Read 2026-09-14 · official docs · Report a correction
Models — Fireworks AI ↗
“Kimi K3 $3/M Input • $15/M Output • 1048576 Context [...] Qwen3.8-2.4T-A95B $2/M Input • $6/M Output • 262144 Context [...] Muse Glimmer 30B $0.35/M Input • $1.5/M Output • 131072 Context”
Read 2026-09-06 · official pricing · Report a correction

Max output tokens

Anthropic: 128K tokens on the top three models, 64K on Claude Haiku 4.5.
Fireworks AI: No separate output cap. max_tokens is bounded by the model's context length — prompt plus completion must fit inside it — and what happens on overflow is set by context_length_exceeded_behavior rather than a fixed ceiling.

Sources (2) →

Models overview — Claude Docs ↗
“Context window 1M tokens 1M tokens 1M tokens 200K tokens Max output 128K tokens 128K tokens 128K tokens 64K tokens”
Read 2026-09-14 · official docs · Report a correction
Chat Completions API — Fireworks docs ↗
“The maximum number of tokens to generate in the completion. If the token count of your prompt plus max_tokens exceeds the model's context length, the behavior depends on context_length_exceeded_behavior.”
Read 2026-09-07 · official docs · Report a correction

Batch discount

Anthropic: 50% off both input and output tokens through the Batch API, for asynchronous processing.
Fireworks AI: Batch API processes async requests at 50% off serverless per-token prices; cached tokens get a further 50% off via automatic prompt caching.

Sources (2) →

Pricing — Claude Docs ↗
“The Batch API allows asynchronous processing of large volumes of requests with a 50% discount on both input and output tokens.”
Read 2026-09-06 · official pricing · Report a correction
Batch API - Fireworks AI Docs ↗
“Process large volumes of requests asynchronously at 50% off Serverless per-token prices [...] Batch jobs automatically use prompt caching for additional 50% cost savings on cached tokens.”
Read 2026-09-13 · official docs · Report a correction

Rate limits

Anthropic: Per-organization limits set by usage tier (Start, Build, Scale, Custom). On the Start tier the Messages API allows 1,000 RPM with 2,000,000 input and 400,000 output tokens per minute for Claude Opus 5, Sonnet 5 and Haiku 4.5, under a $500/month spend cap.
Fireworks AI: Adaptive serverless TPM ceilings by model size: 64.8M total prompt / 648k generated TPM under 400B params, down to 21.6M / 216k at 1.6T+ params. Ceilings are upper bounds; effective limits ramp with usage and spending tier.

Sources (2) →

Rate limits - Claude Platform Docs ↗
“The rate limits for the Messages API are measured in requests per minute (RPM), input tokens per minute (ITPM), and output tokens per minute (OTPM) for each model class. [...] Claude Opus 5 1,000 2,000,000 400,000 [...] Usage tier Monthly spend cap Start $500 USD Build $1,000 USD Scale $200,000 USD”
Read 2026-09-13 · official docs · Report a correction
Serverless Rate Limits - Fireworks AI Docs ↗
“Adaptive rate limit ceilings depend on the model’s total parameter count. Smaller models get higher ceilings: [...] 400B 64.8M 16.2M 648k [...] 1.6T 21.6M 5.4M 216k”
Read 2026-09-13 · official docs · Report a correction

SOC 2

Anthropic: SOC 2 Type II; the Trust Center lists a 2025 Type 2 SOC 2 and CSA STAR L2 report, a SOC 3 report and a 2026 bridge letter, released on access request.
Fireworks AI: SOC 2 Type II certified; audit reports available in the Fireworks Trust Center.

Sources (2) →

Anthropic Trust Center ↗
“Compliance HIPAA SOC 2 Type II ISO 27001:2022 ISO/IEC 42001:2023 FedRAMP High UK Cyber Essentials [...] [Anthropic] 2025 Type 2 SOC 2 and CSA STAR L2 Report.pdf”
Read 2026-09-13 · official site · Report a correction
Data Security - Fireworks AI Docs ↗
“SOC 2 Type II (certified) [...] Documentation and audit reports are available in our Trust Center”
Read 2026-09-13 · official docs · Report a correction

ISO 27001

Anthropic: ISO 27001:2022 certified, with an ISO 27001 Certificate (2025) and an ISO/IEC 42001:2023 certificate listed in the Trust Center.
Fireworks AI: ISO 27001 achieved for its ISMS, alongside ISO 27701 and ISO 42001; certificate PDFs downloadable from the Fireworks Trust Center.

Sources (2) →

Anthropic Trust Center ↗
“Compliance HIPAA SOC 2 Type II ISO 27001:2022 ISO/IEC 42001:2023 [...] [Anthropic] ISO 27001 Certificate (2025).pdf”
Read 2026-09-13 · official site · Report a correction
Data Security - Fireworks AI Docs ↗
“Fireworks has achieved all three ISO certifications covering security, privacy, and AI management: [...] Certificate PDFs for all three certifications are available for download from the Fireworks Trust Center”
Read 2026-09-13 · official docs · Report a correction

HIPAA

Anthropic: HIPAA-ready on the Claude API with a signed BAA; Claude Code, Console usage, Claude Platform on AWS and Microsoft Foundry are not covered.
Fireworks AI: States it is HIPAA compliant and supports healthcare and life sciences organizations.

Sources (2) →

API and data retention - Claude Platform Docs ↗
“The Claude API supports HIPAA-ready integrations for organizations that handle protected health information (PHI). With a signed BAA and a HIPAA-enabled organization, you can use supported API features to process PHI [...] Claude Code: Claude Code is not covered under HIPAA readiness. [...] Claude Platform on AWS and Microsoft Foundry: HIPAA readiness is not available on these platforms.”
Read 2026-09-13 · official docs · Report a correction
Data Security - Fireworks AI Docs ↗
“Fireworks is HIPAA compliant and supports healthcare and life sciences organizations in leveraging our rapid inference capabilities with confidence.”
Read 2026-09-13 · official docs · Report a correction

GDPR / data residency

Anthropic: Inference geo is chosen per request ("global" or "us"); workspace data-at-rest geo is fixed at creation and "us" is currently the only option.
Fireworks AI: Enterprise-only data residency pins all account inference to one region; US (us.api.fireworks.ai) is the only listed option, default is None, other regions via sales.

Sources (2) →

Data residency - Claude Platform Docs ↗
“inference geo: controls where model inference runs, on a per-request basis [...] Workspace geo is set when you create a workspace and can [...] is the only available workspace geo.”
Read 2026-09-13 · official docs · Report a correction
Data residency - Fireworks AI Docs ↗
“Data residency restricts inference on your account to a single region. Once a region is set, every request must use that region’s API endpoint and a model served in that region. [...] Data residency is available on Enterprise accounts. [...] None is the default. For a region that is not listed, contact sales”
Read 2026-09-13 · official docs · Report a correction

Encryption at rest

Anthropic: Workspace data is encrypted at rest under Anthropic's default encryption; an opt-in customer-managed key can replace it.
Fireworks AI: Encrypted at rest with AES-256, and in transit with TLS 1.2+.

Sources (2) →

Customer-managed encryption keys - Claude Platform Docs ↗
“have Anthropic use it to encrypt certain workspace data at rest [...] Eligible organizations can opt in to use customer-managed encryption keys instead of the default encryption that Anthropic provides.”
Read 2026-09-13 · official docs · Report a correction
Data Security - Fireworks AI Docs ↗
“Data is encrypted in transit (TLS 1.2+) and at rest (AES-256).”
Read 2026-09-13 · official docs · Report a correction

Customer-managed keys

Anthropic: Optional CMEK using a key in your own AWS KMS, Google Cloud KMS or Azure Key Vault; US regions only, permanent once enabled, activated by the account team.
Fireworks AI: Bring your own AWS KMS, Google Cloud KMS or Azure Key Vault key; CMEK covers training datasets and checkpoints (LoRA SFT, DPO, RFT), not full-parameter training. Final model weights listed as "Coming soon" on the same page.

Sources (2) →

Customer-managed encryption keys - Claude Platform Docs ↗
“A customer-managed encryption key (CMEK) lets you provision an encryption key in your own AWS KMS, Google Cloud KMS, or Azure Key Vault [...] CMEK is currently available in US regions only, and all encryption operations are processed in US regions. [...] To activate CMEK, contact your Anthropic account team.”
Read 2026-09-13 · official docs · Report a correction
Data Security - Fireworks AI Docs ↗
“Customers may integrate their own AWS KMS, Google Cloud KMS, or Azure Key Vault key to retain governance and apply their own encryption policies. [...] Customer-Managed Encryption Keys for Training (LoRA SFT, DPO, and RFT; full-parameter training not supported)”
Read 2026-09-13 · official docs · Report a correction

Role-based access control

Anthropic: Claude Enterprise members hold one of five organization roles, plus custom roles attached to groups; the Admin API reads groups and custom roles.
Fireworks AI: Four account roles - Admin, User, Contributor and Inference User - with documented per-role resource and API-key permissions. Contributor and Inference User must be enabled by Fireworks support.

Sources (2) →

User management - Claude Platform Docs ↗
“Groups connect members to custom roles (role-based access control, the RBAC in the endpoint paths and scope names) [...] Every member has exactly one organization role. Reads return the member”
Read 2026-09-13 · official docs · Report a correction
Managing users - Fireworks AI Docs ↗
“Each user in an account is assigned a role that determines their level of access: [...] The contributor and inference-user roles are newer roles that provide more granular access control.”
Read 2026-09-13 · official docs · Report a correction

Private networking / VPC

Anthropic: AWS PrivateLink is supported for connecting your VPC to the Claude Platform on AWS endpoint. Claude Platform on AWS; the statement does not extend to the first-party api.anthropic.com endpoint.
Fireworks AI: Bring Your Own Cluster (Enterprise, Private Preview) runs Fireworks inference inside your own Kubernetes cluster, cloud account or data-center network boundary.

Sources (2) →

Claude Platform on AWS - Claude Platform Docs ↗
“AWS PrivateLink is supported for connecting your VPC to the Claude Platform on AWS endpoint.”
Read 2026-09-13 · official docs · Report a correction
Bring Your Own Cluster - Fireworks AI Docs ↗
“Bring Your Own Cluster (BYOC) lets Enterprise customers run Fireworks inference inside their own Kubernetes cluster. Your inference compute runs in your cloud account or data center boundary, while Fireworks installs and operates the serving stack for you. [...] Bring Your Own Cluster is in Private Preview for Enterprise customers.”
Read 2026-09-13 · official docs · Report a correction

Dedicated infrastructure

Anthropic: Priority Tier capacity commitments are no longer sold; existing ones run to their contract end date and guaranteed capacity goes through sales.
Fireworks AI: On-demand deployments run on dedicated GPUs billed per GPU-second, with no hard rate limits and performance unaffected by other users.

Sources (2) →

Service tiers - Claude Platform Docs ↗
“Priority Tier capacity commitments are no longer available for purchase. Organizations with an existing commitment can continue to use Priority Tier through their contract end date”
Read 2026-09-13 · official docs · Report a correction
Deployments - Fireworks AI Docs ↗
“On-demand deployments give you dedicated GPUs for your models, providing several advantages over serverless: [...] Lower latency, higher throughput, and predictable performance unaffected by other users [...] on-demand deployments are billed by GPU-second”
Read 2026-09-13 · official docs · Report a correction

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03.

Documented by only one.

These criteria are published by one provider and not the other. An absence here means we have not found a source, not that the feature is missing — except where we say we read the other provider's own page on a given date and it does not state it. Those rows lean, and the provider can correct them with a link.

Startup credit programAnthropic: Claude for Startups: free credits and priority rate limits, amount undisclosed until application. Open to any early-stage founder with or without VC backing per the FAQ, though the main eligibility list also requires equity funding, founding within the last 4 years, and no prior Anthropic startup credits.

H100 SXM, per GPU-hourFireworks AI: $7.00 per hour for an H100 80GB on demand, or $8.00 on the shorter commitment shown beside it. The same rate applies to an H200 141GB.

Largest GPU offeredFireworks AI: 180GB per GPU on a B200, at $10.00 an hour on demand.

PCI DSSFireworks AI: Data Processing Addendum states Fireworks is not PCI compliant and has no obligation to become so; payment card data is Prohibited Personal Data.

04.

Questions this comparison answers.

Should I choose Anthropic or Fireworks AI?

Pick Anthropic if Teams that want the full 1M-token window at the standard per-token rate rather than a long-context surcharge, and that can use caching and batch to cut a frontier-model bill roughly in half.

Pick Fireworks AI if Running open-weight models without operating GPUs — the same DeepSeek and Qwen checkpoints the labs publish, served per token, with a path to dedicated hardware if throughput demands it.

Provider pages

AnthropicHosted inference for the Claude model family, sold per million tokens with prompt caching and a batch tier.Fireworks AIServerless inference for open-weight models from other labs, priced per token, with fine-tuning and dedicated GPUs billed separately.

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Anthropic vs Fireworks AI

The short answer

Choose Anthropic if…

Choose Fireworks AI if…

Consider something else if…

At a glance.

Where they differ.

Pricing model

Regions

Input price, top model

Output price, top model

Input price, cheapest model

Context window

Max output tokens

Batch discount

Rate limits

SOC 2

ISO 27001

HIPAA

GDPR / data residency

Encryption at rest

Customer-managed keys

Role-based access control

Private networking / VPC

Dedicated infrastructure

Documented by only one.

Questions this comparison answers.

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