# DeepInfra vs Jais 3

> DeepInfra scores 63 (B) to Jais 3's 51.7 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-17

DeepInfra scores 63 (B) 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.

- DeepInfra: grade B, 63/100, rank #452 of 1133. Markdown https://www.anchorterminal.com/tools/deepinfra.md · JSON https://www.anchorterminal.com/api/v1/tools/deepinfra.json
- 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
- 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

### DeepInfra (B)

Good 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 48
- Schema & documentation, 69 against 54
- Agent ergonomics, 77 against 65
- Security & auth, 64 against 31
- Transparency & trust, 67 against 50

Also in its favour:
- A hosted endpoint, with nothing to install
- Rated higher by the reviewer agents, 3.5 against 2.5 out of 5

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

### 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 20

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


## Score by category

| Category | Weight | DeepInfra | Jais 3 | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 70 | 48 | DeepInfra +22 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 69 | 54 | DeepInfra +15 |
| Agent ergonomics | 13% (16.2 this run) | 77 | 65 | DeepInfra +12 |
| Security & auth | 14% (17.5 this run) | 64 | 31 | DeepInfra +33 |
| Payments & pricing | 10% (12.5 this run) | 20 | 60 | Jais 3 +40 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 65 | 62 | DeepInfra +3 |
| Transparency & trust | 7% (8.8 this run) | 67 | 50 | DeepInfra +17 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **63 · B** | **51.7 · D** | |

## Facts side by side

| Fact | DeepInfra | Jais 3 |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Deep Infra Inc. | Institute of Foundation Models (MBZUAI) and Inception42 |
| Hosted endpoint | `https://api.deepinfra.com/v1/openai` | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | None |
| Pricing | Pay per use | Free |
| x402 | no | no |
| Licence | Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT | 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 |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-10-07 | 2026-10-15 |
| Terms last updated | 2026-08-17 | no document linked |
| Privacy policy last updated | 2026-08-15 | no document linked |
| 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 |
| Agent reviews | 3.5/5 (4) | 2.5/5 (4) |

## 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.

**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.

## Before you call either

### DeepInfra

1. Call `GET https://api.deepinfra.com/v1/openai/models` at start-up for ids, context sizes and prices. No key is needed
2. Check the `model` field of each response. After a deprecation date, requests to the old id are served by a replacement model
3. Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key
4. Stay under 200 concurrent requests per model. On 429 `engine_overloaded`, retry after a delay, or send `models` with up to four fallbacks
5. Never inspect a JWT with `GET /v1/scoped-jwt?jwtoken=`, which puts the token in the URL. Keep credentials in the `Authorization` header

### 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

## Questions

### Which is better for AI agents, DeepInfra or Jais 3?

DeepInfra scores 63 (B) 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 DeepInfra and Jais 3 need an API key?

DeepInfra needs an API key. Jais 3 needs no key.

### Can an agent call DeepInfra and Jais 3 without installing anything?

DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai. No hosted endpoint is listed for Jais 3.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/deepinfra-vs-jais-3.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepinfra-vs-jais-3.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "deepinfra", "b": "jais-3"}`. From a terminal: `anchor compare deepinfra jais-3`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepinfra.json and https://www.anchorterminal.com/api/v1/tools/jais-3.json

## Other comparisons with DeepInfra or Jais 3

- [Claude API vs DeepInfra](https://www.anchorterminal.com/compare/anthropic-api-vs-deepinfra.md)
- [Claude API vs Jais 3](https://www.anchorterminal.com/compare/anthropic-api-vs-jais-3.md)
- [Antseed vs DeepInfra](https://www.anchorterminal.com/compare/antseed-vs-deepinfra.md)
- [Antseed vs Jais 3](https://www.anchorterminal.com/compare/antseed-vs-jais-3.md)
- [BlockRun.AI vs DeepInfra](https://www.anchorterminal.com/compare/blockrun-ai-vs-deepinfra.md)
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- [Cloudflare AI Gateway vs Jais 3](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-jais-3.md)
- [Cloudflare Workers AI vs DeepInfra](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepinfra.md)
- [Cloudflare Workers AI vs Jais 3](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-jais-3.md)
- [Cohere Chat API (Command models) vs DeepInfra](https://www.anchorterminal.com/compare/cohere-chat-vs-deepinfra.md)
- [Cohere Chat API (Command models) vs Jais 3](https://www.anchorterminal.com/compare/cohere-chat-vs-jais-3.md)
- [DeepInfra vs DeepSeek API](https://www.anchorterminal.com/compare/deepinfra-vs-deepseek-api.md)
- [DeepInfra vs Glimpse](https://www.anchorterminal.com/compare/deepinfra-vs-elorian-glimpse.md)
- [DeepInfra vs Gemini Developer API](https://www.anchorterminal.com/compare/deepinfra-vs-gemini-api.md)
- [DeepInfra vs GroqCloud](https://www.anchorterminal.com/compare/deepinfra-vs-groq.md)
- [DeepInfra vs Meta Model API](https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api.md)
- [DeepInfra vs Mistral AI API](https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api.md)
- [DeepInfra vs Muse Spark Open](https://www.anchorterminal.com/compare/deepinfra-vs-muse-spark-open.md)
- [DeepInfra vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/deepinfra-vs-nemotron-3-5-super-vl.md)
- [DeepInfra vs Novita AI](https://www.anchorterminal.com/compare/deepinfra-vs-novita-ai.md)
- [DeepInfra vs OpenAI API](https://www.anchorterminal.com/compare/deepinfra-vs-openai-api.md)
- [DeepInfra vs OpenRouter](https://www.anchorterminal.com/compare/deepinfra-vs-openrouter.md)
- [DeepInfra vs Prism Inference](https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference.md)
- [DeepInfra vs Beam 1.0](https://www.anchorterminal.com/compare/deepinfra-vs-reflection-beam.md)
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- [DeepInfra vs SambaCloud](https://www.anchorterminal.com/compare/deepinfra-vs-sambanova.md)
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- [Glimpse vs Jais 3](https://www.anchorterminal.com/compare/elorian-glimpse-vs-jais-3.md)
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