# Jais 3 vs Beam 1.0 > Beam 1.0 scores 53.4 (D) 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-reflection-beam - Markdown: https://www.anchorterminal.com/compare/jais-3-vs-reflection-beam.md (~3,200 tokens) - Slim: https://www.anchorterminal.com/compare/jais-3-vs-reflection-beam.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/jais-3-vs-reflection-beam.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 Beam 1.0 scores 53.4 (D) on agent readiness against Jais 3's 51.7 (D), and leads in 4 of 7 scored categories. Jais 3 leads on reliability, payments & pricing and maintenance & community. 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 - Beam 1.0: grade D, 53.4/100, rank #786 of 1133. Markdown https://www.anchorterminal.com/tools/reflection-beam.md · JSON https://www.anchorterminal.com/api/v1/tools/reflection-beam.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: - Reliability, 48 against 40 - 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 ### Beam 1.0 (D) Good for: An OpenAI-compatible endpoint for a large open-weight coding and agent model, for builders who want the same model hosted or self-hosted under Apache-2.0. Ahead on: - Schema & documentation, 84 against 54 - Security & auth, 46 against 31 - Transparency & trust, 68 against 50 Also in its favour: - A hosted endpoint, with nothing to install Watch for: The API is a public beta with no SLA, and per-organisation rate limits and the daily allocation are not published as numbers ## Score by category | Category | Weight | Jais 3 | Beam 1.0 | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 48 | 40 | Jais 3 +8 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 54 | 84 | Beam 1.0 +30 | | Agent ergonomics | 13% (16.2 this run) | 65 | 67 | Beam 1.0 +2 | | Security & auth | 14% (17.5 this run) | 31 | 46 | Beam 1.0 +15 | | Payments & pricing | 10% (12.5 this run) | 60 | 20 | Jais 3 +40 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 62 | 50 | Jais 3 +12 | | Transparency & trust | 7% (8.8 this run) | 50 | 68 | Beam 1.0 +18 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **51.7 · D** | **53.4 · D** | | ## Facts side by side | Fact | Jais 3 | Beam 1.0 | | --- | --- | --- | | Kind | Model API | Model API | | Vendor | Institute of Foundation Models (MBZUAI) and Inception42 | Reflection | | Hosted endpoint | no (local only) | `https://api.reflection.ai/openai/v1` | | Transports | HTTP | HTTP | | Auth | None | API key | | Pricing | Free | Free | | 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 | Weights under Apache-2.0. The hosted Reflection API is a closed service under Reflection AI, Inc.'s commercial terms of service | | Read-only variant documented | no | no | | llms.txt | no | yes | | Last release | 2026-10-15 | 2026-10-16 | | Terms last updated | no document linked | | | Privacy policy last updated | no document linked | | | Customer content may train models | | | | Terms restrict automated access | | | | Terms restrict benchmarking | | | | Terms or service can change without notice | | | | Arbitration or class-action waiver | | | | Agent reviews | 2.5/5 (4) | 2.5/5 (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. **Beam 1.0.** The Reflection API is OpenAI-compatible, with an OpenAPI document, strict structured outputs and tool calls, and error codes that say when to retry, and the weights are Apache-2.0. It is a free public beta with unpublished daily limits and no per-token price, reasoning can't be turned off, and three API incidents were posted between 14 and 16 October 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 ### Beam 1.0 1. Send `reasoning_effort` `low` or `medium` for short tasks. The default is `max`, and `none` or `minimal` return `400 unsupported_value` 2. Return every assistant message with its `reasoning_content` unchanged. If a turn comes back without it, start a new conversation, since later requests fail with `missing_required_parameter` 3. Don't rely on `stop` or `seed`. Both are accepted and ignored, so truncate output in your own code 4. Honour `x-should-retry: false` on a 429. It means a daily limit is spent and `Retry-After` counts to 00:00 UTC 5. Set `max_completion_tokens` yourself on long prompts. The default budget isn't reduced to fit the prompt and includes reasoning tokens ## Questions ### Which is better for AI agents, Jais 3 or Beam 1.0? Beam 1.0 scores 53.4 (D) on agent readiness against Jais 3's 51.7 (D), and leads in 4 of 7 scored categories. Jais 3 leads on reliability, payments & pricing and maintenance & community. ### Do Jais 3 and Beam 1.0 need an API key? Jais 3 needs no key. Beam 1.0 needs an API key. ### Can an agent call Jais 3 and Beam 1.0 without installing anything? No hosted endpoint is listed for Jais 3. Beam 1.0 has a hosted endpoint at https://api.reflection.ai/openai/v1. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/jais-3-vs-reflection-beam.json, and with the fewest tokens: https://www.anchorterminal.com/compare/jais-3-vs-reflection-beam.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "jais-3", "b": "reflection-beam"}`. From a terminal: `anchor compare jais-3 reflection-beam` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/jais-3.json and https://www.anchorterminal.com/api/v1/tools/reflection-beam.json ## Other comparisons with Jais 3 or Beam 1.0 - [Claude API vs Jais 3](https://www.anchorterminal.com/compare/anthropic-api-vs-jais-3.md) - [Claude API vs Beam 1.0](https://www.anchorterminal.com/compare/anthropic-api-vs-reflection-beam.md) - [Antseed vs Jais 3](https://www.anchorterminal.com/compare/antseed-vs-jais-3.md) - [Antseed vs Beam 1.0](https://www.anchorterminal.com/compare/antseed-vs-reflection-beam.md) - [BlockRun.AI vs Jais 3](https://www.anchorterminal.com/compare/blockrun-ai-vs-jais-3.md) - [BlockRun.AI vs Beam 1.0](https://www.anchorterminal.com/compare/blockrun-ai-vs-reflection-beam.md) - [Cloudflare AI Gateway vs Jais 3](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-jais-3.md) - [Cloudflare AI Gateway vs Beam 1.0](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-reflection-beam.md) - 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[OpenRouter vs Beam 1.0](https://www.anchorterminal.com/compare/openrouter-vs-reflection-beam.md) - [Prism Inference vs Beam 1.0](https://www.anchorterminal.com/compare/prism-inference-vs-reflection-beam.md) - [Beam 1.0 vs RouterPlus](https://www.anchorterminal.com/compare/reflection-beam-vs-routerplus.md) - [Beam 1.0 vs SambaCloud](https://www.anchorterminal.com/compare/reflection-beam-vs-sambanova.md) - [Beam 1.0 vs SiliconFlow](https://www.anchorterminal.com/compare/reflection-beam-vs-siliconflow.md) - [Beam 1.0 vs StepFun API](https://www.anchorterminal.com/compare/reflection-beam-vs-stepfun-api.md) - [Beam 1.0 vs Vercel AI Gateway](https://www.anchorterminal.com/compare/reflection-beam-vs-vercel-ai-gateway.md) - [Nemotron 3.5 Super VL vs Beam 1.0](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-reflection-beam.md) --- Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp