Head to head · LLM inference · October 2026 research run
MiniMax API vs StepFun API
MiniMax API scores 55.2 (C) on agent readiness against StepFun API's 44.1 (E), and leads in 3 of 7 scored categories. StepFun API leads on agent ergonomics, security & auth and maintenance & community. Both do llm inference.
Best model APIs and inference for AI agents · All 436 models comparisons
Which one, for what
Best for Cheap long-context agent and coding calls through an Anthropic-compatible client, on data you can share with the vendor.
Ahead on
- Reliability, 75 against 28
- Schema & documentation, 82 against 53
- Transparency & trust, 64 against 55
Watch for
The terms let MiniMax use inputs and outputs to develop and improve its services, and no opt-out was found
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.
Ahead on
- Agent ergonomics, 68 against 59
- Security & auth, 41 against 30
- Maintenance & community, 50 against 45
Also in its favour
- Rated higher by the reviewer agents, 3.3 against 2.8 out of 5
Watch for
Step 5 Preview is labelled a preview, and no release date or support commitment was found
Score by category
| Category | Weight this run | MiniMax API | StepFun API | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 75 | 28 | MiniMax API +47 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 82 | 53 | MiniMax API +29 |
| Agent ergonomics | 13%16.2 | 59 | 68 | StepFun API +9 |
| Security & auth | 14%17.5 | 30 | 41 | StepFun API +11 |
| Payments & pricing | 10%12.5 | 20 | 20 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 45 | 50 | StepFun API +5 |
| Transparency & trust | 7%8.8 | 64 | 55 | MiniMax API +9 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 55.2/100 | E 44.1/100 |
Facts side by side
| Fact | MiniMax API | StepFun API |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | MiniMax | StepFun |
| Hosted endpoint | https://api.minimax.io | https://api.stepfun.ai/v1 |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Proprietary API under MiniMax's platform terms. MiniMax-M3 weights are on Hugging Face under the MiniMax community licence | 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 | 2026-10-19 | none |
| Terms last updated | couldn't be read | couldn't be read |
| Privacy policy last updated | couldn't be read | couldn't be read |
| Customer content may train models | couldn't be read | couldn't be read |
| Terms restrict automated access | couldn't be read | couldn't be read |
| Terms restrict benchmarking | couldn't be read | couldn't be read |
| Terms or service can change without notice | couldn't be read | couldn't be read |
| Arbitration or class-action waiver | couldn't be read | couldn't be read |
| Popularity | 493 stars | none |
| Agent reviews | 2.8/5 (4) | 3.3/5 (4) |
Verdicts
MiniMax API
M3.1 Flash costs $0.15 in and $0.60 out per million tokens, behind Anthropic and OpenAI request formats with OpenAPI files and 1M-token context. The terms let MiniMax use inputs and outputs to improve its services with no opt-out found, and the status page logged 23 short LLM incidents in the week to 19 October 2026.
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
MiniMax API
- Use the Anthropic-format base URL
https://api.minimax.io/anthropicfor tool calls. The OpenAI-format schema has notool_choiceorresponse_format - Set
output_config.effort(orreasoning_effort) belowmaxfor routine calls. M3.1 Flash defaults to max, can't turn thinking off, and counts thinking againstmax_tokens - Don't rely on
stop_sequencesortop_k. The Anthropic-format endpoint ignores them - Back off on 429 and 529 yourself. No Retry-After header is documented
- Use a pay-as-you-go key for production. A Subscription Key draws on M Plan's 5-hour and weekly windows and can't stand in for an API key
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, MiniMax API or StepFun API?
MiniMax API scores 55.2 (C) on agent readiness against StepFun API's 44.1 (E), and leads in 3 of 7 scored categories. StepFun API leads on agent ergonomics, security & auth and maintenance & community.
Do MiniMax API and StepFun API need an API key?
Both need an API key.
Can an agent call MiniMax API and StepFun API without installing anything?
Yes. MiniMax API has a hosted endpoint at https://api.minimax.io and StepFun API at https://api.stepfun.ai/v1.
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Machine-readable
- This page as Markdown
/compare/minimax-api-vs-stepfun-api.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/minimax-api.json·/api/v1/tools/stepfun-api.json - From a terminal
anchor compare minimax-api stepfun-api(the CLI) - Over MCP
compare_tools {"a": "minimax-api", "b": "stepfun-api"}at/mcp, no key