Baseten vs Google Gemini API
SEPT 2026 auditA comparison of Baseten and Google Gemini API built from values read directly from each provider's own documentation, with the source recorded against every figure.
The short answer
Choose Baseten if…
Teams that want per-token APIs and dedicated GPUs from one vendor with no plan fee — minute-granularity billing means a model that runs for ten minutes costs ten minutes.
Editorial · Palash Bagchi · approved
Choose Google Gemini API if…
Getting to a working prototype without a card, then staying on the cheapest frontier-adjacent rates in this set — $0.75 per million input tokens is well under half what Anthropic and OpenAI charge for their top models.
Editorial · Palash Bagchi · approved
Consider something else if…
- Baseten: Its dedicated H100 works out at $6.50 an hour, roughly three times DeepInfra's, so steady GPU workloads pay a premium for the platform around them.
- Google Gemini API: The rates are dated: they roughly double on 1 January 2027, free-tier content is used to improve Google's products, and rate limits are not published anywhere you can read before signing up.
16 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.
Baseten 0
Google Gemini API 0
At a glance.
| Criterion | Baseten | Google Gemini API |
|---|---|---|
| Pricing | ||
| Free tier | No — New workspaces get starting credits for testing; usage beyond them is billed per minute. | Yes |
| Kind of free offer | Free credit | Free tier |
| Entry paid plan | $0 per month on the Basic plan — pay as you go, with dedicated deployments, model APIs and training included rather than gated behind a fee. | $5 minimum prepaid credit to move from the Free Tier to the Paid Tier; the minimum credit purchase is $5 and the maximum $5,000. No monthly plan fee — usage is billed per token. Applies to the Prepay billing plan; some accounts are offered or assigned Postpay instead. |
| Pricing model | No platform fee: per-token Model APIs for open models, and dedicated deployments billed per minute of compute with volume discounts. The Pro tier buys priority access to high-demand GPUs rather than a lower rate. | Per million tokens, with dated price changes published in advance — the current Gemini 3.x rates are explicitly promotional through 31 December 2026 and roughly double on 1 January 2027. A free tier exists, and its content is used to improve Google's products where the paid tier's is not. |
| Infrastructure | ||
| Regions | Two Baseten regions selectable for regional deployments: us (United States) and eu (European Union); other regions by request to support. GPU model deployments only; Chains, training jobs and shared CPU types cannot select a region. | Google publishes availability as a country list rather than deployment regions: the Gemini API and Google AI Studio are listed as available in 230 countries and territories, counted from the page's own list, which publishes no total. Country and territory availability for access, not a choice of data region. |
| Inference | ||
| Input price, top model | $1.40 per million input tokens for GLM-5.3, with cached input at $0.14 and output at $4.40. GLM-5.2 Fast, a speed variant, is $2.10. | $0.75 per million input tokens for Gemini 3.8 Flash through 31 December 2026, then $1.50. Gemini 3.1 Pro, still preview, is $2.00 for prompts up to 200k tokens and $4.00 above. |
| Output price, top model | $4.40 per million output tokens for GLM-5.3. | $3.75 per million output tokens for Gemini 3.8 Flash through 31 December 2026, then $7.50. Thinking tokens are billed as output. |
| Input price, cheapest model | $0.10 per million input tokens for GPT OSS 120B, with output at $0.50. GLM-5.3-Flash is $0.15 in and $0.50 out. | $0.30 per million input tokens for Gemini 3.5 Flash-Lite, with output at $2.50. |
| Context window | 1,048K tokens on the DeepSeek V4 line and the GLM 5.2/5.3 family, the widest it serves; 262K on the Kimi K2 models, 200K on GLM 4.7 and 128K on GPT OSS 120B. Baseten's table publishes these in thousands, so the magnitude is 1,048,000 rather than the 1,048,576 a power-of-two reading would give — the vendor's own figure, not a conversion of it. | 1,048,576 tokens for Gemini 3.8 Flash. Read from the Vertex AI model card: the Gemini API docs build their model cards client-side and publish no figure a fetch can read. |
| Max output tokens | 262K tokens on most models, and it is a separate ceiling from the context window rather than the remainder of it: DeepSeek V4 Flash 0731 allows 384K output inside a 1,048K window, while GLM 4.7, Nemotron Ultra and GPT OSS 120B cap output at their full context. The Inkling models are the outlier at 32K. | 65,536 tokens for Gemini 3.8 Flash, and Google counts thinking tokens as output. |
| Prompt caching | Supported | Supported |
| Rate limits | Two limits, requests and tokens per minute, set by account status rather than spend: an unverified Basic account gets 15 RPM and 100,000 TPM, a verified Basic or Pro account 120 RPM and 500,000 TPM, Enterprise custom. Cached input counts toward TPM at full weight even though it is billed cheaper. | Tied to a usage tier — Free, then Tier 1/2/3 unlocked by cumulative spend — and enforced as requests per minute, input tokens per minute and requests per day. Google publishes no numbers in the docs: limits are viewed in AI Studio and are stated not to be guaranteed. |
| Compliance | ||
| ISO 27001 | ISO 27001:2022 listed as a compliance program; an ISO 27001 certificate for Baseten Labs, Inc. is published in the Trust Center for request. Certificate is request-access in the Trust Center, not a public download. | Google commits to maintain ISO/IEC 27001:2013 certification for the Processor Services, which include Gemini API Paid Services. Contractual commitment in the DPA the Gemini API terms incorporate, not a Gemini-specific ISO certificate. |
| GDPR / data residency | Baseten Cloud supports a GDPR compliance program; residency is set with regional environments or a region on a single deployment. | Processed under Google's Data Processing Addendum on the paid tier; abuse-detection logs may be stored or cached in any country where Google has facilities. Scope: the logs Google keeps for Paid Services to detect Prohibited Use Policy violations. |
| Encryption at rest | Trust Center control: datastores housing sensitive customer data are encrypted at rest, and transmission over public networks is encrypted. | Google security policies mandate encryption at rest for all user data; personal data is encrypted at the storage level, generally using AES256. From the processor DPA that the Gemini API Additional Terms incorporate for Paid Services. |
| Role-based access control | Role-based access control with three organization roles - Admin, Member and Viewer - in a single-team organization. | The only IAM role published for the Gemini API is a service agent role for GCS reads; the reference states there are no IAM permissions for the service. |
| Dedicated infrastructure | Single-tenant runs workloads in an isolated VPC in Baseten Cloud with compute restricted to your organization; Enterprise, custom pricing. | Provisioned throughput is offered as optional access on the Enterprise tier, which the pricing page says is powered by Gemini Enterprise Agent Platform. |
Where they differ.
Free tier
- Baseten
- No — New workspaces get starting credits for testing; usage beyond them is billed per minute.
- Google Gemini API
- Yes
Sources (2) →Sources ↓
- Billing and usage - Baseten ↗
“Baseten doesn’t offer a separate free tier or perpetual free plan. [...] New workspaces receive credits for testing and deployment.”
Read 2026-09-13 · official docs · Report a correction
- Gemini Developer API Pricing ↗
“Free input & output tokens [...] Limited access to certain models [...] Google AI Studio access [...] Content used to improve our products [...] Get started for Free”
Read 2026-09-06 · official pricing · Report a correction
Kind of free offer
- Baseten
- Free credit
- Google Gemini API
- Free tier
Sources (2) →Sources ↓
- Billing and usage - Baseten ↗
“Baseten doesn’t offer a separate free tier or perpetual free plan. [...] New workspaces receive credits for testing and deployment.”
Read 2026-09-13 · official docs · Report a correction
- Gemini Developer API Pricing ↗
“Free input & output tokens [...] Limited access to certain models [...] Google AI Studio access [...] Content used to improve our products [...] Get started for Free”
Read 2026-09-06 · official pricing · Report a correction
Entry paid plan
- Baseten
- $0 per month on the Basic plan — pay as you go, with dedicated deployments, model APIs and training included rather than gated behind a fee.
- Google Gemini API
- $5 minimum prepaid credit to move from the Free Tier to the Paid Tier; the minimum credit purchase is $5 and the maximum $5,000. No monthly plan fee — usage is billed per token. Applies to the Prepay billing plan; some accounts are offered or assigned Postpay instead.
Sources (2) →Sources ↓
- Pricing — Baseten ↗
“Baseten $0 per month, pay as you go Get started [...] Included in Basic: Dedicated deployments Model APIs Training Fast cold starts SOC 2 Type II and HIPAA compliant”
Read 2026-09-06 · official pricing · Report a correction
- Billing | Gemini API | Google AI for Developers ↗
“Upgrading from the Free Tier to the Paid Tier means linking a billing account and prepaying to add a minimum of $5 (or equivalent in other currencies) of credits to your account. [...] The minimum purchase is $5. The maximum amount of credits you can prepay for is $5,000.”
Read 2026-09-13 · official docs · Report a correction
Pricing model
- Baseten
- No platform fee: per-token Model APIs for open models, and dedicated deployments billed per minute of compute with volume discounts. The Pro tier buys priority access to high-demand GPUs rather than a lower rate.
- Google Gemini API
- Per million tokens, with dated price changes published in advance — the current Gemini 3.x rates are explicitly promotional through 31 December 2026 and roughly double on 1 January 2027. A free tier exists, and its content is used to improve Google's products where the paid tier's is not.
Sources (2) →Sources ↓
- Pricing — Baseten ↗
“$0 per month, pay as you go [...] Only pay for the compute you use, down to the minute. Volume discounts available [...] Pro Unlimited autoscaling and priority compute access [...] Priority access to high-demand GPUs”
Read 2026-09-06 · official pricing · Report a correction
- Gemini Developer API Pricing ↗
“Paid Tier, per 1M tokens in USD [...] $0.75 through December 31, 2026. $1.50 starting January 1, 2027. [...] Used to improve our products | Yes | No”
Read 2026-09-06 · official pricing · Report a correction
Regions
- Baseten
- Two Baseten regions selectable for regional deployments: us (United States) and eu (European Union); other regions by request to support. GPU model deployments only; Chains, training jobs and shared CPU types cannot select a region.
- Google Gemini API
- Google publishes availability as a country list rather than deployment regions: the Gemini API and Google AI Studio are listed as available in 230 countries and territories, counted from the page's own list, which publishes no total. Country and territory availability for access, not a choice of data region.
Sources (2) →Sources ↓
- Regional deployments - Baseten ↗
“The following regions are available for regional deployments. [...] us United States eu European Union”
Read 2026-09-13 · official docs · Report a correction
- Available regions for Google AI Studio and Gemini API | Google AI for Developers ↗
“The Gemini API and Google AI Studio are available in the following countries and territories.”
Read 2026-09-13 · official docs · Report a correction
Input price, top model
- Baseten
- $1.40 per million input tokens for GLM-5.3, with cached input at $0.14 and output at $4.40. GLM-5.2 Fast, a speed variant, is $2.10.
- Google Gemini API
- $0.75 per million input tokens for Gemini 3.8 Flash through 31 December 2026, then $1.50. Gemini 3.1 Pro, still preview, is $2.00 for prompts up to 200k tokens and $4.00 above.
Sources (2) →Sources ↓
- Pricing — Baseten ↗
“GLM-5.3 GLM-5.3 $1.40 $1.40 $0.14 $0.14 $4.40 [...] GLM-5.2 Fast GLM-5.2 Fast $2.10 $2.10 $0.21”
Read 2026-09-06 · official pricing · Report a correction
- Gemini Developer API Pricing ↗
“Gemini 3.8 Flash [...] Input price | Free of charge | $0.75 through December 31, 2026. $1.50 starting January 1, 2027. [...] Gemini 3.1 Pro Preview [...] Input price | Not available | $2.00, prompts <= 200k tokens $4.00, prompts > 200k tokens”
Read 2026-09-06 · official pricing · Report a correction
Output price, top model
- Baseten
- $4.40 per million output tokens for GLM-5.3.
- Google Gemini API
- $3.75 per million output tokens for Gemini 3.8 Flash through 31 December 2026, then $7.50. Thinking tokens are billed as output.
Sources (2) →Sources ↓
- Pricing — Baseten ↗
“GLM-5.3 GLM-5.3 $1.40 $1.40 $0.14 $0.14 $4.40”
Read 2026-09-06 · official pricing · Report a correction
- Gemini Developer API Pricing ↗
“Output price (including thinking tokens) | Free of charge | $3.75 through December 31, 2026. $7.50 starting January 1, 2027.”
Read 2026-09-06 · official pricing · Report a correction
Input price, cheapest model
- Baseten
- $0.10 per million input tokens for GPT OSS 120B, with output at $0.50. GLM-5.3-Flash is $0.15 in and $0.50 out.
- Google Gemini API
- $0.30 per million input tokens for Gemini 3.5 Flash-Lite, with output at $2.50.
Sources (2) →Sources ↓
- Pricing — Baseten ↗
“GPT OSS 120B GPT OSS 120B $0.10 $0.10 - - $0.50 [...] GLM-5.3-Flash GLM-5.3-Flash $0.15 $0.15 $0.03 $0.03 $0.50”
Read 2026-09-06 · official pricing · Report a correction
- Gemini Developer API Pricing ↗
“Gemini 3.5 Flash-Lite [...] Input price | Free of charge | $0.30 (text / image / video / audio) Output price (including thinking tokens) | Free of charge | $2.50”
Read 2026-09-06 · official pricing · Report a correction
Context window
1,048K tokens on the DeepSeek V4 line and the GLM 5.2/5.3 family, the widest it serves; 262K on the Kimi K2 models, 200K on GLM 4.7 and 128K on GPT OSS 120B. Baseten's table publishes these in thousands, so the magnitude is 1,048,000 rather than the 1,048,576 a power-of-two reading would give — the vendor's own figure, not a conversion of it.
1,048,576 tokens for Gemini 3.8 Flash. Read from the Vertex AI model card: the Gemini API docs build their model cards client-side and publish no figure a fetch can read.
Sources (2) →Sources ↓
- Model APIs overview — Baseten Docs ↗
“SupportedModelsTable [...] model: "DeepSeek V4 Pro", context: 1048, maxOutput: 262 [...] model: "GLM 5.3", context: 1048, maxOutput: 262 [...] model: "GLM 4.7", context: 200, maxOutput: 200 [...] model: "OpenAI GPT 120B", context: 128, maxOutput: 128”
Read 2026-09-08 · official docs · Report a correction
- Gemini 3.8 Flash — Vertex AI model card, Google Cloud ↗
“Token limits Context window 1,048,576 Maximum output tokens 65,536”
Read 2026-09-06 · official docs · Report a correction
Max output tokens
262K tokens on most models, and it is a separate ceiling from the context window rather than the remainder of it: DeepSeek V4 Flash 0731 allows 384K output inside a 1,048K window, while GLM 4.7, Nemotron Ultra and GPT OSS 120B cap output at their full context. The Inkling models are the outlier at 32K.
65,536 tokens for Gemini 3.8 Flash, and Google counts thinking tokens as output.
Sources (2) →Sources ↓
- Model APIs overview — Baseten Docs ↗
“SupportedModelsTable [...] model: "DeepSeek V4 Pro", context: 1048, maxOutput: 262 [...] model: "GLM 5.3", context: 1048, maxOutput: 262 [...] model: "GLM 4.7", context: 200, maxOutput: 200 [...] model: "OpenAI GPT 120B", context: 128, maxOutput: 128”
Read 2026-09-08 · official docs · Report a correction
- Gemini 3.8 Flash — Vertex AI model card, Google Cloud ↗
“Token limits Context window 1,048,576 Maximum output tokens 65,536”
Read 2026-09-06 · official docs · Report a correction
Rate limits
- Baseten
- Two limits, requests and tokens per minute, set by account status rather than spend: an unverified Basic account gets 15 RPM and 100,000 TPM, a verified Basic or Pro account 120 RPM and 500,000 TPM, Enterprise custom. Cached input counts toward TPM at full weight even though it is billed cheaper.
- Google Gemini API
- Tied to a usage tier — Free, then Tier 1/2/3 unlocked by cumulative spend — and enforced as requests per minute, input tokens per minute and requests per day. Google publishes no numbers in the docs: limits are viewed in AI Studio and are stated not to be guaranteed.
Sources (2) →Sources ↓
- Pricing and limits — Baseten Docs ↗
“Basic (unverified) | 15 | 100,000 | Basic (verified) | 120 | 500,000 | Pro | 120 | 500,000 [...] Cached and uncached input tokens count equally toward this limit, even though cached tokens cost less.”
Read 2026-09-07 · official docs · Report a correction
- Rate limits — Gemini API ↗
“Rate limits depend on a variety of factors (such as your usage tier) and can be viewed in Google AI Studio. [...] Specified rate limits are not guaranteed and actual capacity may vary. [...] Usage tier | Qualification | Billing tier cap Free | Active project or free trial | N/A Tier 1 | Set up and link an active billing account | $250”
Read 2026-09-06 · official docs · Report a correction
ISO 27001
- Baseten
- ISO 27001:2022 listed as a compliance program; an ISO 27001 certificate for Baseten Labs, Inc. is published in the Trust Center for request. Certificate is request-access in the Trust Center, not a public download.
- Google Gemini API
- Google commits to maintain ISO/IEC 27001:2013 certification for the Processor Services, which include Gemini API Paid Services. Contractual commitment in the DPA the Gemini API terms incorporate, not a Gemini-specific ISO certificate.
Sources (2) →Sources ↓
- Baseten Trust Center ↗
“Compliance SOC 2 ISO 27001:2022 HIPAA [...] Baseten Labs, Inc. ISO 27001 Certificate.pdf”
Read 2026-09-13 · official site · Report a correction
- Data Processing Addendum for Products Where Google is a Data Processor ↗
“means ISO/IEC 27001:2013 certification or a comparable certification for the Processor Services. [...] 7.4 Security Certification. To evaluate and help ensure the continued effectiveness of the Security Measures, Google will maintain the ISO 27001 Certification or other appropriate measures to demonstrate the effectiveness of the Security Measures.”
Read 2026-09-13 · official site · Report a correction
GDPR / data residency
- Baseten
- Baseten Cloud supports a GDPR compliance program; residency is set with regional environments or a region on a single deployment.
- Google Gemini API
- Processed under Google's Data Processing Addendum on the paid tier; abuse-detection logs may be stored or cached in any country where Google has facilities. Scope: the logs Google keeps for Paid Services to detect Prohibited Use Policy violations.
Sources (2) →Sources ↓
- Baseten Cloud - Baseten ↗
“Baseten Cloud supports SOC 2 Type II, HIPAA, and GDPR compliance programs. [...] to constrain workloads and inference traffic to specific regions”
Read 2026-09-13 · official docs · Report a correction
- Gemini API Additional Terms of Service | Google AI for Developers ↗
“will process your prompts and responses in accordance with the Data Processing Addendum for Products Where Google is a Data Processor [...] This data may be stored transiently or cached in any country in which Google or its agents maintain facilities.”
Read 2026-09-13 · official site · Report a correction
Encryption at rest
- Baseten
- Trust Center control: datastores housing sensitive customer data are encrypted at rest, and transmission over public networks is encrypted.
- Google Gemini API
- Google security policies mandate encryption at rest for all user data; personal data is encrypted at the storage level, generally using AES256. From the processor DPA that the Gemini API Additional Terms incorporate for Paid Services.
Sources (2) →Sources ↓
- Baseten Trust Center - Controls ↗
“The company's datastores housing sensitive customer data are encrypted at rest. [...] The company uses secure data transmission protocols to encrypt confidential and sensitive data when transmitted over public networks.”
Read 2026-09-13 · official site · Report a correction
- Data Processing Addendum for Products Where Google is a Data Processor ↗
“Google's security policies mandate encryption at rest for all user data, including personal data. [...] All personal data is encrypted at the storage level, generally using AES256.”
Read 2026-09-13 · official site · Report a correction
Role-based access control
- Baseten
- Role-based access control with three organization roles - Admin, Member and Viewer - in a single-team organization.
- Google Gemini API
- The only IAM role published for the Gemini API is a service agent role for GCS reads; the reference states there are no IAM permissions for the service.
Sources (2) →Sources ↓
- Access control - Baseten ↗
“Baseten uses role-based access control (RBAC) to manage organization access. [...] In organizations that use a single team, every organization member has one of three roles.”
Read 2026-09-13 · official docs · Report a correction
- Gemini API roles and permissions | Identity and Access Management (IAM) | Google Cloud Documentation ↗
“Gemini API offers the following service agent roles. [...] There are no IAM permissions for this service.”
Read 2026-09-13 · official docs · Report a correction
Dedicated infrastructure
- Baseten
- Single-tenant runs workloads in an isolated VPC in Baseten Cloud with compute restricted to your organization; Enterprise, custom pricing.
- Google Gemini API
- Provisioned throughput is offered as optional access on the Enterprise tier, which the pricing page says is powered by Gemini Enterprise Agent Platform.
Sources (2) →Sources ↓
- Single-tenant - Baseten ↗
“Single-tenant runs your inference workloads in an isolated VPC in Baseten Cloud. [...] Compute and scheduling are restricted to your organization. [...] Single-tenant is available with custom pricing on the Enterprise plan.”
Read 2026-09-13 · official docs · Report a correction
- Gemini Developer API pricing | Gemini API | Google AI for Developers ↗
“For enterprise deployments, powered by Gemini Enterprise Agent Platform [...] All features in Paid, plus optional access to: [...] Provisioned throughput”
Read 2026-09-13 · official pricing · 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.
Entry paid plan: Baseten or Google Gemini API?
Baseten: $0 per month on the Basic plan — pay as you go, with dedicated deployments, model APIs and training included rather than gated behind a fee.
Google Gemini API: $5 minimum prepaid credit to move from the Free Tier to the Paid Tier; the minimum credit purchase is $5 and the maximum $5,000. No monthly plan fee — usage is billed per token. Applies to the Prepay billing plan; some accounts are offered or assigned Postpay instead.
Free tier: Baseten or Google Gemini API?
Baseten: No — New workspaces get starting credits for testing; usage beyond them is billed per minute.
Google Gemini API: Yes
Should I choose Baseten or Google Gemini API?
Pick Baseten if Teams that want per-token APIs and dedicated GPUs from one vendor with no plan fee — minute-granularity billing means a model that runs for ten minutes costs ten minutes.
Pick Google Gemini API if Getting to a working prototype without a card, then staying on the cheapest frontier-adjacent rates in this set — $0.75 per million input tokens is well under half what Anthropic and OpenAI charge for their top models.

Comments are hosted by EchoThread, which sets cookies and offers social sign-in. Like the analytics on this site, it does not load until you accept — see the privacy page.