DeepInfra vs Fireworks AI
SEPT 2026 auditA comparison of DeepInfra and Fireworks AI built from values read directly from each provider's own documentation, with the source recorded against every figure.
The short answer
Choose DeepInfra if…
Running open-weight models at the lowest published per-token rates here — DeepSeek-V4-Flash at $0.06 per million input is a fraction of what the lab itself charges — with dedicated H100s at $2.20 an hour if throughput demands it.
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…
- DeepInfra: Only some models carry per-token pricing; the rest bill for inference execution time, which is a different and harder thing to forecast.
- 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.
19 sourced criteria separate them — see where, with sources, below.
Pick the criteria you care about. The chart counts how many of them lean toward each provider — the same read as scanning the bars below, just totalled for the ones you chose.
DeepInfra 0
Fireworks AI 0
At a glance.
| Criterion | DeepInfra | Fireworks AI |
|---|---|---|
| Pricing | ||
| Free tier | No | No |
| Kind of free offer | No free offer | Free credit |
| Pricing model | Two products on one bill: per-token serverless inference with a separate cached-input rate for each model, and dedicated GPUs billed per minute and invoiced weekly. Models without per-token pricing are billed for inference execution time instead. | 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 | Serverless inference runs on DeepInfra's own inference-optimised infrastructure in US-based data centers. No region selector is documented for the shared inference API. | 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 | $1.30 per million input tokens for DeepSeek-V4-Pro, the most expensive model in its catalogue. Cached input is $0.10. | $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 | $2.60 per million output tokens for DeepSeek-V4-Pro. | $15.00 per million output tokens for Kimi K3. |
| Input price, cheapest model | $0.06 per million input tokens for DeepSeek-V4-Flash-0731, with cached input at $0.015 and output at $0.18. DeepSeek itself charges $0.44 at peak for the same checkpoint and Fireworks $0.22. | $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 | 1024k tokens on the DeepSeek V4 models it serves; 160k on the V3 generation. The window is the model's rather than a platform limit. | 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 | Hard cap of 16384 output tokens per response for most models on the chat completions API; the exact limit is model-dependent. | 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 | Supported |
| Batch discount | Batch API jobs are billed 20% below real-time pricing, with results returned within 24 hours. | 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 | Default 200 concurrent requests per model per account (429 above it); a limit increase can be requested in the dashboard. | 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. |
| GPU | ||
| H100 SXM, per GPU-hour | $2.20 per GPU-hour for a dedicated H100 80GB — below every dedicated cloud in this dataset. A100 80GB is $0.89, H200 $2.69, B200 $3.69. Billed in minute granularity, invoiced weekly. | $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 offered | 270GB per GPU on a B300, at $4.89 per GPU-hour. | 180GB per GPU on a B200, at $10.00 an hour on demand. |
| Compliance | ||
| SOC 2 | Security measures stated to comply with SOC 2 standards in the privacy policy; no report, audit type or auditor is published. | SOC 2 Type II certified; audit reports available in the Fireworks Trust Center. |
| ISO 27001 | Security measures stated to comply with ISO 27001 standards in the privacy policy; no certificate or issuing body is published. | ISO 27001 achieved for its ISMS, alongside ISO 27701 and ISO 42001; certificate PDFs downloadable from the Fireworks Trust Center. |
| HIPAA | Technical and organizational measures for HIPAA compliance stated in the privacy policy; no BAA or eligible-services list is published. | States it is HIPAA compliant and supports healthcare and life sciences organizations. |
| GDPR / data residency | Privacy Policy: data may be transferred, stored and processed outside your jurisdiction, specifically in the United States; EU residents keep GDPR rights. | 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 | Inference inputs and outputs are not stored to disk; bulk-inference data may be stored on disk in encrypted form, then deleted. | Encrypted at rest with AES-256, and in transit with TLS 1.2+. |
| Role-based access control | Team roles are member and admin; an admin can change roles, but all team members share the same API tokens and models. | 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. |
| Dedicated infrastructure | Private model deployments run on dedicated GPU infrastructure - your weights, your endpoint, your isolation - not shared with other users. | On-demand deployments run on dedicated GPUs billed per GPU-second, with no hard rate limits and performance unaffected by other users. |
Where they differ.
Kind of free offer
- DeepInfra
- No free offer
- Fireworks AI
- Free credit
Sources (2) →Sources ↓
- Simple Pricing | Machine Learning Infrastructure | DeepInfra ↗
“You have to add a card or pre-pay [...] Pre-paid accounts draw down their balance as they go, and invoiced accounts are billed once at the beginning of the following month.”
Read 2026-09-13 · official pricing · Report a correction
- Pricing — Fireworks AI ↗
“Pay per token, with high rate limits and postpaid billing. Get started with $1 in free credits.”
Read 2026-09-06 · official pricing · Report a correction
Pricing model
- DeepInfra
- Two products on one bill: per-token serverless inference with a separate cached-input rate for each model, and dedicated GPUs billed per minute and invoiced weekly. Models without per-token pricing are billed for inference execution time instead.
- 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) →Sources ↓
- Pricing — DeepInfra ↗
“Some of our langauge models offer per token pricing. Most other models are billed for inference execution time. [...] Billed in minute granularity Invoiced weekly”
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
- DeepInfra
- Serverless inference runs on DeepInfra's own inference-optimised infrastructure in US-based data centers. No region selector is documented for the shared inference API.
- 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) →Sources ↓
- Machine Learning Models and Infrastructure | DeepInfra ↗
“DeepInfra runs on our own cutting-edge inference optimised infrastructure, in secure US-based data centers.”
Read 2026-09-13 · official site · 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
- DeepInfra
- $1.30 per million input tokens for DeepSeek-V4-Pro, the most expensive model in its catalogue. Cached input is $0.10.
- 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) →Sources ↓
- Pricing — DeepInfra ↗
“DeepSeek-V4-Pro 1024k $1.30 / $0.10 cached $2.60”
Read 2026-09-06 · 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
- DeepInfra
- $2.60 per million output tokens for DeepSeek-V4-Pro.
- Fireworks AI
- $15.00 per million output tokens for Kimi K3.
Sources (2) →Sources ↓
- Pricing — DeepInfra ↗
“DeepSeek-V4-Pro 1024k $1.30 / $0.10 cached $2.60”
Read 2026-09-06 · 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
- DeepInfra
- $0.06 per million input tokens for DeepSeek-V4-Flash-0731, with cached input at $0.015 and output at $0.18. DeepSeek itself charges $0.44 at peak for the same checkpoint and Fireworks $0.22.
- 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) →Sources ↓
- Pricing — DeepInfra ↗
“DeepSeek-V4-Flash-0731 1024k $0.06 / $0.015 cached $0.18”
Read 2026-09-06 · 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
1024k tokens on the DeepSeek V4 models it serves; 160k on the V3 generation. The window is the model's rather than a platform limit.
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) →Sources ↓
- Pricing — DeepInfra ↗
“DeepSeek-V4-Pro 1024k [...] DeepSeek-V3.2 160k $0.26 / $0.13 cached $0.38”
Read 2026-09-06 · official pricing · 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
- DeepInfra
- Hard cap of 16384 output tokens per response for most models on the chat completions API; the exact limit is model-dependent.
- 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) →Sources ↓
- Chat Completions - DeepInfra ↗
“The maximum number of tokens that can be generated in a single response is model-dependent, with a hard cap of 16384 tokens for most models.”
Read 2026-09-13 · 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
- DeepInfra
- Batch API jobs are billed 20% below real-time pricing, with results returned within 24 hours.
- 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) →Sources ↓
- Introduction to Batch API - DeepInfra ↗
“get the results back within 24 hours, billed at 20% below real-time pricing”
Read 2026-09-13 · official docs · 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
- DeepInfra
- Default 200 concurrent requests per model per account (429 above it); a limit increase can be requested in the dashboard.
- 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) →Sources ↓
- Rate Limits - DeepInfra ↗
“Every account has a default limit of 200 concurrent requests per model [...] You can request a rate limit increase in your”
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
H100 SXM, per GPU-hour
- DeepInfra
- $2.20 per GPU-hour for a dedicated H100 80GB — below every dedicated cloud in this dataset. A100 80GB is $0.89, H200 $2.69, B200 $3.69. Billed in minute granularity, invoiced weekly.
- Fireworks 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.
Sources (2) →Sources ↓
- Pricing — DeepInfra ↗
“A100 80GB $0.89 / GPU-hour H100 80GB $2.20 / GPU-hour H200 141GB $2.69 / GPU-hour B200 180GB $3.69 / GPU-hour B300 270GB $4.89 / GPU-hour [...] Billed in minute granularity Invoiced weekly”
Read 2026-09-06 · official pricing · Report a correction
- Pricing — Fireworks AI ↗
“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
Largest GPU offered
270GB per GPU on a B300, at $4.89 per GPU-hour.
180GB per GPU on a B200, at $10.00 an hour on demand.
Sources (2) →Sources ↓
- Pricing — DeepInfra ↗
“B300 270GB $4.89 / GPU-hour”
Read 2026-09-06 · official pricing · Report a correction
- Pricing — Fireworks AI ↗
“B200 180 GB GPU $10.00 $13.00”
Read 2026-09-06 · official pricing · Report a correction
SOC 2
- DeepInfra
- Security measures stated to comply with SOC 2 standards in the privacy policy; no report, audit type or auditor is published.
- Fireworks AI
- SOC 2 Type II certified; audit reports available in the Fireworks Trust Center.
Sources (2) →Sources ↓
- Privacy Policy — DeepInfra ↗
“Our security measures comply with SOC 2 and ISO 27001 standards and include technical and organizational measures for GDPR and HIPAA”
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
- DeepInfra
- Security measures stated to comply with ISO 27001 standards in the privacy policy; no certificate or issuing body is published.
- Fireworks AI
- ISO 27001 achieved for its ISMS, alongside ISO 27701 and ISO 42001; certificate PDFs downloadable from the Fireworks Trust Center.
Sources (2) →Sources ↓
- Privacy Policy — DeepInfra ↗
“Our security measures comply with SOC 2 and ISO 27001 standards and include technical and organizational measures for GDPR and HIPAA”
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
- DeepInfra
- Technical and organizational measures for HIPAA compliance stated in the privacy policy; no BAA or eligible-services list is published.
- Fireworks AI
- States it is HIPAA compliant and supports healthcare and life sciences organizations.
Sources (2) →Sources ↓
- Privacy Policy — DeepInfra ↗
“Our security measures comply with SOC 2 and ISO 27001 standards and include technical and organizational measures for GDPR and HIPAA”
Read 2026-09-13 · official site · 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
- DeepInfra
- Privacy Policy: data may be transferred, stored and processed outside your jurisdiction, specifically in the United States; EU residents keep GDPR rights.
- 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) →Sources ↓
- DeepInfra Privacy Policy ↗
“Your data may be transferred, stored, and processed outside of your jurisdiction, specifically in the United States. [...] If you are a resident of the European Union you may have additional rights under the General Data Protection Regulation.”
Read 2026-09-13 · official site · 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
- DeepInfra
- Inference inputs and outputs are not stored to disk; bulk-inference data may be stored on disk in encrypted form, then deleted.
- Fireworks AI
- Encrypted at rest with AES-256, and in transit with TLS 1.2+.
Sources (2) →Sources ↓
- Data Privacy - DeepInfra ↗
“Input data is not stored to disk during inference [...] we may need to store data for a longer period, potentially on disk in encrypted form”
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
Role-based access control
- DeepInfra
- Team roles are member and admin; an admin can change roles, but all team members share the same API tokens and models.
- 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) →Sources ↓
- Okta SSO - DeepInfra ↗
“Admin can change team member roles (member / admin) [...] All team members share the same API tokens and models [...] For per-user isolation (separate tokens and models per person), contact us”
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
Dedicated infrastructure
- DeepInfra
- Private model deployments run on dedicated GPU infrastructure - your weights, your endpoint, your isolation - not shared with other users.
- 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) →Sources ↓
- Deploy Private Models - DeepInfra ↗
“DeepInfra allows you to deploy your own models on dedicated infrastructure [...] data stays on dedicated infrastructure, not shared with other users”
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
When these numbers change, hear about it. Sources are re-checked monthly; a repricing goes out as a short note.
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.
Questions this comparison answers.
Should I choose DeepInfra or Fireworks AI?
Pick DeepInfra if Running open-weight models at the lowest published per-token rates here — DeepSeek-V4-Flash at $0.06 per million input is a fraction of what the lab itself charges — with dedicated H100s at $2.20 an hour if throughput demands it.
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.
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