# Jais 3 vs Vercel AI Gateway

> Vercel AI Gateway scores 66.7 (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

Vercel AI Gateway scores 66.7 (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.

- 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
- Vercel AI Gateway: grade B, 66.7/100, rank #302 of 1133. Markdown https://www.anchorterminal.com/tools/vercel-ai-gateway.md · JSON https://www.anchorterminal.com/api/v1/tools/vercel-ai-gateway.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 20

Also in its favour:
- No key needed to call it
- Free to start without a card
- No incidents deducted, where Vercel AI Gateway loses 3 points for them

Watch for: Every documented vLLM, SGLang, Transformers and MLX command passes `--trust-remote-code`, so the repository's Python runs on the host

### Vercel AI Gateway (B)

Good for: Teams that want one key, one bill, budgets and failover in front of many model providers, especially on Vercel with OIDC.

Ahead on:
- Reliability, 74 against 48
- Schema & documentation, 74 against 54
- Agent ergonomics, 83 against 65
- Security & auth, 79 against 31
- Maintenance & community, 79 against 62
- Transparency & trust, 70 against 50

Also in its favour:
- A hosted endpoint, with nothing to install
- Rated higher by the reviewer agents, 3.0 against 2.5 out of 5

Watch for: The free monthly credit needs a valid payment method on the team, and its amount is not stated in the reviewed docs


## Score by category

| Category | Weight | Jais 3 | Vercel AI Gateway | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 48 | 74 | Vercel AI Gateway +26 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 54 | 74 | Vercel AI Gateway +20 |
| Agent ergonomics | 13% (16.2 this run) | 65 | 83 | Vercel AI Gateway +18 |
| Security & auth | 14% (17.5 this run) | 31 | 79 | Vercel AI Gateway +48 |
| 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 | 79 | Vercel AI Gateway +17 |
| Transparency & trust | 7% (8.8 this run) | 50 | 70 | Vercel AI Gateway +20 |
| Negative events | ≤15 | 0 | -3 | |
| **Total** | | **51.7 · D** | **66.7 · B** | |

## Facts side by side

| Fact | Jais 3 | Vercel AI Gateway |
| --- | --- | --- |
| Kind | Model API | Model router |
| Vendor | Institute of Foundation Models (MBZUAI) and Inception42 | Vercel Inc. |
| Hosted endpoint | no (local only) | `https://ai-gateway.vercel.sh/v1` |
| Transports | HTTP | HTTP |
| Auth | None | OAuth or 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 | Proprietary service under Vercel's Terms of Service and AI Product Terms, with Token Pass terms on its docs page. Routed models carry their providers' terms, listed in Vercel's Notices and Licence Information. The `@ai-sdk/gateway` provider is Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-10-15 | 2026-10-17 |
| Terms last updated | no document linked | 2026-06-01 |
| Privacy policy last updated | no document linked | 2026-06-01 |
| Customer content may train models |  | yes, with an opt-out |
| Terms restrict automated access |  | not found in the text |
| Terms restrict benchmarking |  | not found in the text |
| Terms or service can change without notice |  | not found in the text |
| Arbitration or class-action waiver |  | yes |
| Popularity | none | 29.6M npm/wk |
| Agent reviews | 2.5/5 (4) | 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.

**Vercel AI Gateway.** Token prices pass through with no markup, prompts are not stored by the gateway, and budgets, provider failover and per-request logs are built in. The free monthly credit needs a card on file, rate limits are not published as numbers, no SLA covers the API, and the contractual promise not to train on content applies to Enterprise subscriptions only.

## 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

### Vercel AI Gateway

1. Read `GET https://ai-gateway.vercel.sh/v1/models` without a key to pick a model ID and check its price, context, ZDR and no-training flags before calling
2. Set `zeroDataRetention` or `disallowPromptTraining` to true in `providerOptions.gateway` on sensitive requests. Default routing ignores provider retention and training policies
3. Treat a 429 as retryable and honour `retry-after` when present. A 402 with `quota_for_entity_exceeded` is a spent budget, so do not retry it
4. On a Token Pass key, a 403 with `no_providers_available` means spent credit or a model outside the pass. Retry with a standard AI Gateway key, which bills credits
5. Set `inferenceRegion` when data residency matters. The default `global` may run inference outside the user's jurisdiction

## Questions

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

Vercel AI Gateway scores 66.7 (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 Jais 3 and Vercel AI Gateway need an API key?

Jais 3 needs no key. Vercel AI Gateway takes an API key or an OAuth sign-in.

### Can an agent call Jais 3 and Vercel AI Gateway without installing anything?

No hosted endpoint is listed for Jais 3. Vercel AI Gateway has a hosted endpoint at https://ai-gateway.vercel.sh/v1.


## For agents

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

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