Head to head · LLM inference · October 2026 research run
DeepInfra vs StepFun API
DeepInfra scores 63 (B) on agent readiness against StepFun API's 44.4 (E), and leads in 6 of 7 scored categories. Both do llm inference.
Best model APIs and inference for AI agents · All 153 models comparisons
Which one, for what
Best for Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.
Ahead on
- Reliability, 70 against 28
- Schema & documentation, 69 against 53
- Agent ergonomics, 77 against 68
- Security & auth, 64 against 41
- Maintenance & community, 65 against 50
- Transparency & trust, 67 against 58
Watch for
A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id
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
Score by category
| Category | Weight this run | DeepInfra | StepFun API | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 70 | 28 | DeepInfra +42 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 69 | 53 | DeepInfra +16 |
| Agent ergonomics | 13%16.2 | 77 | 68 | DeepInfra +9 |
| Security & auth | 14%17.5 | 64 | 41 | DeepInfra +23 |
| Payments & pricing | 10%12.5 | 20 | 20 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 65 | 50 | DeepInfra +15 |
| Transparency & trust | 7%8.8 | 67 | 58 | DeepInfra +9 |
| Negative events | ≤15 | 0 | 0 | |
| Total | B 63/100 | E 44.4/100 |
Facts side by side
| Fact | DeepInfra | StepFun API |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | Deep Infra Inc. | StepFun |
| Hosted endpoint | https://api.deepinfra.com/v1/openai | 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 service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT | 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 | 2026-10-07 | none |
| Terms last updated | 2026-08-17 | |
| Privacy policy last updated | 2026-08-15 | |
| Customer content may train models | not found in the text | |
| Terms restrict automated access | not found in the text | |
| Terms restrict benchmarking | yes | |
| Terms or service can change without notice | not found in the text | |
| Arbitration or class-action waiver | yes | |
| Popularity | 21 stars, 1.2k npm/wk, 50 PyPI/wk | none |
Verdicts
DeepInfra
The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model, there is no changelog or SLA, and an account needs a card or prepayment before any call.
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
DeepInfra
- Call
GET https://api.deepinfra.com/v1/openai/modelsat start-up for ids, context sizes and prices. No key is needed - Check the
modelfield of each response. After a deprecation date, requests to the old id are served by a replacement model - Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key
- Stay under 200 concurrent requests per model. On 429
engine_overloaded, retry after a delay, or sendmodelswith up to four fallbacks - Never inspect a JWT with
GET /v1/scoped-jwt?jwtoken=, which puts the token in the URL. Keep credentials in theAuthorizationheader
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, DeepInfra or StepFun API?
DeepInfra scores 63 (B) on agent readiness against StepFun API's 44.4 (E), and leads in 6 of 7 scored categories.
Do DeepInfra and StepFun API need an API key?
Both need an API key.
Can an agent call DeepInfra and StepFun API without installing anything?
Yes. DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai and StepFun API at https://api.stepfun.ai/v1.
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Machine-readable
- This page as Markdown
/compare/deepinfra-vs-stepfun-api.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/deepinfra.json·/api/v1/tools/stepfun-api.json - From a terminal
anchor compare deepinfra stepfun-api(the CLI) - Over MCP
compare_tools {"a": "deepinfra", "b": "stepfun-api"}at/mcp, no key