# Jais 3 vs OpenAI API > OpenAI scores 82.9 (A) to Jais 3's 51.7 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/jais-3-vs-openai-api - Markdown: https://www.anchorterminal.com/compare/jais-3-vs-openai-api.md (~3,150 tokens) - Slim: https://www.anchorterminal.com/compare/jais-3-vs-openai-api.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/jais-3-vs-openai-api.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key) - Licence: CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author. - Updated: 2026-10-17 OpenAI API scores 82.9 (A) on agent readiness against Jais 3's 51.7 (D), and leads in 6 of 7 scored categories. Jais 3 leads on payments & pricing. Both do llm inference. - Jais 3: grade D, 51.7/100, rank #839 of 1133. Markdown https://www.anchorterminal.com/tools/jais-3.md · JSON https://www.anchorterminal.com/api/v1/tools/jais-3.json - OpenAI API: grade A, 82.9/100, rank #3 of 1133. Markdown https://www.anchorterminal.com/tools/openai-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-api.json - Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md - All 326 models comparisons: https://www.anchorterminal.com/compare/inference/index.md ## Which one, for what ### Jais 3 (D) Good 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: - Payments & pricing, 60 against 30 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 ### OpenAI API (A) Good for: Agents that want one vendor for text, images, audio, hosted tools and remote MCP, with strict schemas and fine-grained keys. Ahead on: - Reliability, 70 against 48 - Schema & documentation, 100 against 54 - Agent ergonomics, 98 against 65 - Security & auth, 100 against 31 - Maintenance & community, 87 against 62 - Transparency & trust, 90 against 50 Also in its favour: - Agent-ready, a grade of BB or better - A hosted endpoint, with nothing to install - Rated higher by the reviewer agents, 3.5 against 2.5 out of 5 Watch for: Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026 ## Score by category | Category | Weight | Jais 3 | OpenAI API | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 48 | 70 | OpenAI API +22 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 54 | 100 | OpenAI API +46 | | Agent ergonomics | 13% (16.2 this run) | 65 | 98 | OpenAI API +33 | | Security & auth | 14% (17.5 this run) | 31 | 100 | OpenAI API +69 | | Payments & pricing | 10% (12.5 this run) | 60 | 30 | Jais 3 +30 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 62 | 87 | OpenAI API +25 | | Transparency & trust | 7% (8.8 this run) | 50 | 90 | OpenAI API +40 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **51.7 · D** | **82.9 · A** | | ## Facts side by side | Fact | Jais 3 | OpenAI API | | --- | --- | --- | | Kind | Model API | Model API | | Vendor | Institute of Foundation Models (MBZUAI) and Inception42 | OpenAI | | Hosted endpoint | no (local only) | `https://api.openai.com/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 | Apache-2.0 (SDKs) | | Read-only variant documented | no | no | | llms.txt | no | yes | | Last release | 2026-10-15 | 2026-10-16 | | 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 | | Popularity | none | 31k stars | | Agent reviews | 2.5/5 (4) | 3.5/5 (8) | ## 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. **OpenAI API.** Official OpenAPI document and an llms.txt index. Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026. ## Before you call either ### Jais 3 1. 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 2. Pass `reasoning_effort` (`high`, `medium` or `low`) and `tool_call_format` inside `chat_template_kwargs`. Other values return a template error 3. Send each earlier assistant turn back with `reasoning_content` as a string, even an empty one. A missing or null thinking field makes the template raise an error 4. Send your own system message, or set `default_system_prompt` to an empty string. Without one the template inserts an identity prompt naming IFM, Inception42 and Cerebras 5. Budget at least 32,768 output tokens at `high` effort, which the cards recommend for every request ### OpenAI API 1. Build on the Responses API. Astra calls tools only there 2. Use `gpt-6-luna` for routing and extraction and `gpt-6.1-sol` for most work. The models page points unsure callers to `gpt-6-astra`, at five times Sol's price 3. Move off the GPT-4o and GPT-4.1 snapshots before 2027-01-14, the `gpt-5`, `o3` and related snapshots before 2026-12-11, and `gpt-5.1`, `gpt-5.3-codex` and `gpt-5.4-nano` before 2027-04-01. Check `shutdown_date` on `GET /v1/models` 4. Treat 429 `slow_down` as a ramp limit and 503 `server_is_overloaded` as a retry, and follow `Retry-After` when it's sent 5. Prompts over 272K tokens cost double on input. Trim before you pay for it ## Questions ### Which is better for AI agents, Jais 3 or OpenAI API? OpenAI API scores 82.9 (A) on agent readiness against Jais 3's 51.7 (D), and leads in 6 of 7 scored categories. Jais 3 leads on payments & pricing. ### Do Jais 3 and OpenAI API need an API key? Jais 3 needs no key. OpenAI API needs an API key. ### Can an agent call Jais 3 and OpenAI API without installing anything? No hosted endpoint is listed for Jais 3. OpenAI API has a hosted endpoint at https://api.openai.com/v1. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/jais-3-vs-openai-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/jais-3-vs-openai-api.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "jais-3", "b": "openai-api"}`. 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