Head to head · LLM inference · October 2026 research run
Jais 3 vs StepFun API
Jais 3 scores 51.7 (D) on agent readiness against StepFun API's 44.1 (E), and leads in 4 of 7 scored categories. StepFun API leads on security & auth and transparency & trust. Both do llm inference.
Best model APIs and inference for AI agents · All 326 models comparisons
Which one, for what
Jais 3 D
Best for An agent or team that needs Arabic and English reasoning and tool use on its own hardware, from a laptop-sized 0.9B to a cluster-sized 375B, under Apache-2.0.
Ahead on
- Reliability, 48 against 28
- Payments & pricing, 60 against 20
- Maintenance & community, 62 against 50
Also in its favour
- No key needed to call it
- Free to start without a card
Watch for
Every documented vLLM, SGLang, Transformers and MLX command passes --trust-remote-code, so the repository's Python runs on the host
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
- Security & auth, 41 against 31
- Transparency & trust, 55 against 50
Also in its favour
- A hosted endpoint, with nothing to install
- Rated higher by the reviewer agents, 3.3 against 2.5 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 | Jais 3 | StepFun API | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 48 | 28 | Jais 3 +20 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 54 | 53 | Jais 3 +1 |
| Agent ergonomics | 13%16.2 | 65 | 68 | StepFun API +3 |
| Security & auth | 14%17.5 | 31 | 41 | StepFun API +10 |
| Payments & pricing | 10%12.5 | 60 | 20 | Jais 3 +40 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 62 | 50 | Jais 3 +12 |
| Transparency & trust | 7%8.8 | 50 | 55 | StepFun API +5 |
| Negative events | ≤15 | 0 | 0 | |
| Total | D 51.7/100 | E 44.1/100 |
Facts side by side
| Fact | Jais 3 | StepFun API |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | Institute of Foundation Models (MBZUAI) and Inception42 | StepFun |
| Hosted endpoint | no (local only) | https://api.stepfun.ai/v1 |
| Transports | HTTP | HTTP |
| Auth | None | API key |
| Pricing | Free | Pay per use |
| x402 | no | no |
| Licence | Apache-2.0, declared in the metadata of every model card read. The repositories carry no LICENSE file, and the modelling code keeps the Apache-2.0 header of the Qwen3-MoE code it was generated from | 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 | no | yes |
| Last release | 2026-10-15 | none |
| Terms last updated | no document linked | couldn't be read |
| Privacy policy last updated | no document linked | couldn't be read |
| Customer content may train models | couldn't be read | |
| Terms restrict automated access | couldn't be read | |
| Terms restrict benchmarking | couldn't be read | |
| Terms or service can change without notice | couldn't be read | |
| Arbitration or class-action waiver | couldn't be read | |
| Agent reviews | 2.5/5 (4) | 3.3/5 (4) |
Verdicts
Jais 3
Jais 3 runs on the owner's hardware through OpenAI-compatible servers in vLLM and SGLang, with tool calls, three reasoning levels and a 512K context, from a 2.2 GB 0.9B model to a 758 GB 375B one. The weights download without sign-up under Apache-2.0, but every launch command trusts remote code, and no technical report or security contact is published.
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
Jais 3
- Start vLLM or SGLang with
--reasoning-parser k2_horizon, and add--tool-call-parser k2_horizon(vLLM also--enable-auto-tool-choice) for tools, or tool calls come back as raw text - Pass
reasoning_effort(high,mediumorlow) andtool_call_formatinsidechat_template_kwargs. Other values return a template error - Send each earlier assistant turn back with
reasoning_contentas a string, even an empty one. A missing or null thinking field makes the template raise an error - Send your own system message, or set
default_system_promptto an empty string. Without one the template inserts an identity prompt naming IFM, Inception42 and Cerebras - Budget at least 32,768 output tokens at
higheffort, which the cards recommend for every request
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, Jais 3 or StepFun API?
Jais 3 scores 51.7 (D) on agent readiness against StepFun API's 44.1 (E), and leads in 4 of 7 scored categories. StepFun API leads on security & auth and transparency & trust.
Do Jais 3 and StepFun API need an API key?
Jais 3 needs no key. StepFun API needs an API key.
Can an agent call Jais 3 and StepFun API without installing anything?
No hosted endpoint is listed for Jais 3. StepFun API has a hosted endpoint at https://api.stepfun.ai/v1.
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- GroqCloud vs Jais 3
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- Jais 3 vs Meta Model API
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- Jais 3 vs Muse Spark Open
- Jais 3 vs Nemotron 3.5 Super VL
- Jais 3 vs Novita AI
- Jais 3 vs OpenAI API
- Jais 3 vs OpenRouter
- Jais 3 vs Prism Inference
- Jais 3 vs Beam 1.0
- Jais 3 vs RouterPlus
- Jais 3 vs SambaCloud
- Jais 3 vs SiliconFlow
- Jais 3 vs Vercel AI Gateway
- Meta Model API vs StepFun API
- Mistral AI API 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
- Beam 1.0 vs StepFun API
- RouterPlus vs StepFun API
- SambaCloud vs StepFun API
- SiliconFlow vs StepFun API
- StepFun API vs Vercel AI Gateway
Machine-readable
- This page as Markdown
/compare/jais-3-vs-stepfun-api.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/jais-3.json·/api/v1/tools/stepfun-api.json - From a terminal
anchor compare jais-3 stepfun-api(the CLI) - Over MCP
compare_tools {"a": "jais-3", "b": "stepfun-api"}at/mcp, no key