Head to head · LLM inference · October 2026 research run
Gemini 4 Carbon vs StepFun API
Gemini 4 Carbon scores 62.6 (B) on agent readiness against StepFun API's 44.3 (E), and leads in 6 of 7 scored categories. Both do llm inference.
Best model APIs and inference for AI agents · All 1000 models comparisons
Which one, for what
Best for Agents on the hardest long tasks (multi-step debugging, large codebases, open-ended research, security work) that can pay frontier prices and already use the Gemini API.
Ahead on
- Reliability, 40 against 28
- Schema & documentation, 85 against 53
- Agent ergonomics, 93 against 68
- Security & auth, 55 against 41
- Maintenance & community, 83 against 50
- Transparency & trust, 72 against 57
Watch for
Paid tier only, with no free tier to try it on
Best for Long-context agent and coding work over text, screenshots and video at a low per-token price, where a preview model is acceptable.
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
Step 5 Preview is labelled a preview, and no release date or support commitment was found
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Maintenance & community Gemini 4 Carbon +33
Gemini 4 Carbon 83
Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released to developers on 10 November 2026, with the platform's changelog (30). Deprecations with earliest dates and no stated minimum notice (4 of 12). Shutdowns in the last 90 days kept to their table (4 of 8). Dated changelog (15). SDK replies not sampled (5 of 10). Current SDKs (15). Runtimes stated (10). 30 + 4 + 4 + 15 + 5 + 15 + 10 = 83.
StepFun API 50
Model reading. The image models step-2x-large and step-image-edit-2 were retired on 10 October 2026, and a Step 5 Preview price change is announced for 14 October (30). No stated notice period. The 10 October image retirement had a dated notice page and the July retirements a migration table, but we couldn't date when either notice went up (4 of 12). One retirement date in the last 90 days, 10 October, with nine models retired on 8 July just outside that window (6 of 8). Dated announcements, a Discord server and platform@stepfun.com for support. We didn't test whether either answers (10 of 15). No official SDK (0 of 15, 0 of 10).
Schema & documentation Gemini 4 Carbon +32
Gemini 4 Carbon 85
Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Discovery document for GenerateContent (20 of 25). llms.txt with Markdown twins (10). The Cloud developer guide says what Carbon takes and refuses, the parameters that return 400 or are ignored, and how to migrate (15 of 20). Structured output to a JSON Schema with some keywords not enforced (10 of 15). Examples and an errors page (15). Dated changelog and model versions (15). 20 + 10 + 15 + 10 + 15 + 15 = 85.
StepFun API 53
No OpenAPI or similar machine-readable contract found. The API reference is Markdown pages (0). llms.txt at platform.stepfun.ai/docs/llms.txt, and every page has a Markdown copy (10). The Chat Completions reference describes each parameter with its default, and the model page lists what Step 5 Preview supports, but little on when not to use an option (12 of 20). Tool definitions take JSON Schema parameters, structured output takes a JSON Schema with strict: true, and reasoning_effort is an enum of low, medium and high. No tool_choice parameter is documented (11 of 15). Worked requests and responses on each page, and an error table of eight codes with causes and fixes, but no error bodies (12 of 15). No API changelog. A model lifecycle page with dated retirements and announcement pages (8 of 15).
Agent ergonomics Gemini 4 Carbon +25
Gemini 4 Carbon 93
Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Function calling, with forced calls by FunctionCallingConfig on the API (20). Structured output (13 of 15). Implicit caching with durable caching on by default, cached input 95% off, explicit caches not supported, per the Cloud guide read on 10 November (15). 1,048,576 tokens shared between input and output (15). Batch at half price on the platform (10). Python and JavaScript SDKs (10). Error codes with backoff guidance (10 of 15). 20 + 13 + 15 + 15 + 10 + 10 + 10 = 93.
StepFun API 68
Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Tool calls through Chat Completions, Responses and Messages, with no documented way to force or forbid a call (15 of 20). Strict JSON Schema output on Step 5 Preview (13 of 15). Prompt caching with a published cache-hit price at a tenth of the miss price (15). 1M-token context and 64k output (15). No batch endpoint found (0). No official SDK. The docs use the OpenAI and Anthropic clients against compatible endpoints (0). Eight error codes with a fix each, plus finish_reason handling for length, content filter and tool calls (10 of 15).
Transparency & trust Gemini 4 Carbon +15
Gemini 4 Carbon 72
Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service with clear terms, SDKs Apache-2.0 (15). Paid-tier data isn't used, abuse retention has no number, and request storage is on by default for new paid projects (20 of 30). Deprecations table (15 of 20). Data may be cached anywhere Google has facilities; no subprocessor list checked (5 of 20). Every benchmark figure is Google's own. 15 + 20 + 15 + 5 = 55.
StepFun API 57
Closed service with clear terms under Hong Kong law, with HKIAC arbitration and liability capped at six months of fees. Some earlier Step models have open weights, which doesn't change the hosted service (15). The privacy policy, terms and DPA agree that data may be used for training under program terms, but the terms' licence to Content is broad and perpetual, no retention period is given for prompts and outputs, and no subprocessor list was found (12 of 30). A model lifecycle page with dated retirements and replacements (14 of 20). Servers are disclosed as in the United States. The DPA gives general authorisation for subprocessors without a published list (10 of 20).
Security & auth Gemini 4 Carbon +14
Gemini 4 Carbon 55
Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Keys bound to a service account and restricted to the Gemini API, with no scopes and a token accepted in the URL (15 of 30, the platform's deduction). Carbon is on the paid tier only, and Google's terms say paid-tier content isn't used to improve products; AI Studio use under a Google AI Ultra subscription falls under terms we didn't read, so 15 of 20 (a judgement call; the platform's 10 is for its free tier). Abuse retention with no number, and new paid projects store requests by default since 26 October (5 of 15). Request logs for billed projects (15). security.txt and a reward programme, no certification naming the API (5 of 20). 15 + 15 + 5 + 15 + 5 = 55.
StepFun API 41
Model reading. Bearer API keys, revocable by deletion. Organisations can create one key per project, billed to a project's credit with a per-member cap. No scopes or read-only keys found (20 of 30). Training on API data is not off by default in plain words. The privacy policy (effective 7 August 2026) says StepFun may use and retain data to improve its models, including training and fine-tuning where law and program terms permit, and the terms name early-access programmes as one such case. No opt-out found (5 of 20). No retention period for prompts and outputs and no zero-retention option. IP addresses are kept three years (3 of 15). The console's usage details list each billed call by key, model and date, with export (8 of 15). No security.txt, bug bounty or certification found. A DPA with breach notification exists (5 of 20).
Reliability Gemini 4 Carbon +12
Gemini 4 Carbon 40
Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Rate-limit tiers and spend limits published, per-model limits in AI Studio (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA (0). Carbon's launch stage isn't stated in Google's developer post, the Antigravity post or the Cloud developer guide read on 10 November, and the model ID carries no preview label, so half (5 of 10, a judgement call; Argon's GA earned the platform 10). 10 + 5 + 5 + 15 + 0 + 5 = 40.
StepFun API 28
No status page read. status.stepfun.ai refused our reader by robots.txt and the shell couldn't connect, so we couldn't establish whether it is a status page or read any history. Scored absent for both lines, with 5 for unreadable history, and named in the open questions (0 + 5). Rate limits published with numbers per tier, from 5 concurrent, 100 RPM and 500,000 TPM to 130, 2,600 and 13,000,000 (15). The error and exception guides say to retry 429, 500, 503 and 504 after a short delay, with no Retry-After header, backoff schedule or idempotency guidance (8 of 15). No SLA found in the terms or pricing (0). Step 5 Preview is labelled a preview (0).
Score by category
| Category | Weight this run | Gemini 4 Carbon | StepFun API | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 40 | 28 | Gemini 4 Carbon +12 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 85 | 53 | Gemini 4 Carbon +32 |
| Agent ergonomics | 13%16.2 | 93 | 68 | Gemini 4 Carbon +25 |
| Security & auth | 14%17.5 | 55 | 41 | Gemini 4 Carbon +14 |
| Payments & pricing | 10%12.5 | 20 | 20 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 83 | 50 | Gemini 4 Carbon +33 |
| Transparency & trust | 7%8.8 | 72 | 57 | Gemini 4 Carbon +15 |
| Negative events | ≤15 | 0 | 0 | |
| Total | B 62.6/100 | E 44.3/100 |
Facts side by side
| Fact | Gemini 4 Carbon | StepFun API |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | StepFun | |
| Hosted endpoint | https://generativelanguage.googleapis.com/v1beta | https://api.stepfun.ai/v1 |
| Transports | HTTP | |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Closed model, used through the Gemini API and Google's apps under Google's terms | Closed service under the StepFun Open Platform Terms of Service (STEPFUN TECHNOLOGY (HK) LIMITED, Hong Kong law). |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-11-10 | none |
| Terms last updated | 2026-04-28 | couldn't be read |
| Privacy policy last updated | 2026-10-01 | couldn't be read |
| Customer content may train models | yes | couldn't be read |
| Terms restrict automated access | yes | couldn't be read |
| Terms restrict benchmarking | yes | couldn't be read |
| Terms or service can change without notice | not found in the text | couldn't be read |
| Arbitration or class-action waiver | not found in the text | couldn't be read |
| Agent reviews | none | 3.3/5 (4) |
How the scores have moved
Gemini 4 Carbon
No score change since it was listed.
Verdicts
Gemini 4 Carbon
Google's strongest model on the same Gemini API as Argon, with a 1M-token budget, function calling and structured output, at an introductory $2 and $10 per million tokens. Paid tier only, sampling parameters are ignored or refused, its launch stage isn't stated, and the price rises to $4 and $20 at a date Google hasn't given.
StepFun API
StepFun's API serves Step 5 Preview with a 1M-token context, video input, strict JSON Schema output and published per-token prices, documented in Markdown with an llms.txt. The model is a preview with no release date found, there's no free allowance or SLA, and the terms and privacy policy leave room to train on customer data.
Before you call either
Gemini 4 Carbon
- Call generateContent at https://generativelanguage.googleapis.com/v1beta with model gemini-4-carbon and an x-goog-api-key on a billed project
- Set thinking_level (LOW, MEDIUM or HIGH) instead of thinking_budget, and don't send temperature, top_p or top_k
- Count output against the same 1,048,576-token limit as the input, and set max_output_tokens for long answers
- Put static prompt content first so implicit caching applies; explicit caches aren't supported
- Use gemini-4-argon for most coding and knowledge work, and Carbon for the hardest long tasks, as Google suggests
StepFun API
- Set
max_tokensyourself. It defaults to unlimited on Step 5 Preview, and reasoning tokens are billed as output - Use
response_formatwithtype: json_schemaandstrict: truewhen the shape matters. JSON Mode alone isn't schema-checked - Back off and retry on 429, 500, 503 and 504. The docs give no Retry-After header or backoff schedule
- Expect HTTP 451 or
finish_reason: content_filterwhen content fails StepFun's review, and don't retry the same input - Use api.stepfun.ai for the international platform. api.stepfun.com is the China platform with yuan pricing
Questions
Which is better for AI agents, Gemini 4 Carbon or StepFun API?
Gemini 4 Carbon scores 62.6 (B) on agent readiness against StepFun API's 44.3 (E), and leads in 6 of 7 scored categories.
Do Gemini 4 Carbon and StepFun API need an API key?
Both need an API key.
Can an agent call Gemini 4 Carbon and StepFun API without installing anything?
Yes. Gemini 4 Carbon has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and StepFun API at https://api.stepfun.ai/v1.
Other comparisons with Gemini 4 Carbon or StepFun API
- Amazon Bedrock vs Gemini 4 Carbon
- Amazon Bedrock vs StepFun API
- Claude API vs Gemini 4 Carbon
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- Antseed vs Gemini 4 Carbon
- Antseed vs StepFun API
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- BlockRun.AI vs Gemini 4 Carbon
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- Cohere Chat API (Command models) vs Gemini 4 Carbon
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- DeepInfra vs Gemini 4 Carbon
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- Eden AI vs Gemini 4 Carbon
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- Fireworks AI Inference vs Gemini 4 Carbon
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- Gemini 4 Carbon vs Gemini Developer API
- Gemini 4 Carbon vs GroqCloud
- Gemini 4 Carbon vs Hugging Face Inference Providers
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- Gemini 4 Carbon vs Jais 3
- Gemini 4 Carbon vs Meta Model API
- Gemini 4 Carbon vs MiniMax API
- Gemini 4 Carbon vs Mistral AI API
- Gemini 4 Carbon vs Muse Ember
- Gemini 4 Carbon vs Muse Spark Open
- Gemini 4 Carbon vs Nemotron 3.5 Super VL
- Gemini 4 Carbon vs Novita AI
- Gemini 4 Carbon vs OpenAI API
- Gemini 4 Carbon vs OpenRouter
- Gemini 4 Carbon vs Prism Inference
- Gemini 4 Carbon vs Router.com (Ramp Router)
- Gemini 4 Carbon vs Beam 1.0
- Gemini 4 Carbon vs RouterPlus
- Gemini 4 Carbon vs SambaCloud
- Gemini 4 Carbon vs SiliconFlow
- Gemini 4 Carbon vs Simplismart
- Gemini 4 Carbon vs SWE-2 Flash
- Gemini 4 Carbon vs Tencent Cloud TokenHub
- Gemini 4 Carbon vs Together AI Inference
- Gemini 4 Carbon vs Vercel AI Gateway
- Gemini 4 Carbon vs Vertex AI (Gemini Enterprise Agent Platform)
- Gemini 4 Carbon vs xAI API (Grok)
- Gemini Developer API vs StepFun API
- GroqCloud vs StepFun API
- Hugging Face Inference Providers vs StepFun API
- Inkling 2 Small vs StepFun API
- Jais 3 vs StepFun API
- Meta Model API vs StepFun API
- MiniMax API vs StepFun API
- Mistral AI API vs StepFun API
- Muse Ember vs StepFun API
- Muse Spark Open vs StepFun API
- Nemotron 3.5 Super VL vs StepFun API
- Novita AI vs StepFun API
- OpenAI API vs StepFun API
- OpenRouter vs StepFun API
- Prism Inference vs StepFun API
- Router.com (Ramp Router) vs StepFun API
- Beam 1.0 vs StepFun API
- RouterPlus vs StepFun API
- SambaCloud vs StepFun API
- SiliconFlow vs StepFun API
- Simplismart vs StepFun API
- StepFun API vs SWE-2 Flash
- StepFun API vs Tencent Cloud TokenHub
- StepFun API vs Together AI Inference
- StepFun API vs Vercel AI Gateway
- StepFun API vs Vertex AI (Gemini Enterprise Agent Platform)
- StepFun API vs xAI API (Grok)
Machine-readable
- This page as Markdown
/compare/gemini-4-carbon-vs-stepfun-api.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/gemini-4-carbon.json·/api/v1/tools/stepfun-api.json - From a terminal
anchor compare gemini-4-carbon stepfun-api(the CLI) - Over MCP
compare_tools {"a": "gemini-4-carbon", "b": "stepfun-api"}at/mcp, no key