# Jais 3 vs Simplismart

> Jais 3 scores 52.1 (D) to Simplismart's 29.7 (F) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-28

Jais 3 scores 52.1 (D) on agent readiness against Simplismart's 29.7 (F), and leads in 6 of 7 scored categories. Both do llm inference.

- Jais 3: grade D, 52.1/100, rank #874 of 1221. Markdown https://www.anchorterminal.com/tools/jais-3.md · JSON https://www.anchorterminal.com/api/v1/tools/jais-3.json
- Simplismart: grade F, 29.7/100, rank #1146 of 1221. Markdown https://www.anchorterminal.com/tools/simplismart.md · JSON https://www.anchorterminal.com/api/v1/tools/simplismart.json
- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md
- All 497 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 15
- Agent ergonomics, 65 against 17
- Payments & pricing, 60 against 25
- Maintenance & community, 62 against 42
- Transparency & trust, 55 against 31

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

### Simplismart (F)

Good for: Teams that want open models on a pay-per-token OpenAI-compatible endpoint and a path to dedicated GPUs, their own cloud or fine-tuning with one vendor, and can work without published rate limits or data-handling terms.

Also in its favour:
- A hosted endpoint, with nothing to install

Watch for: No request or token rate limits, 429 handling or retry guidance found in the docs; only GPU quotas, given as 1 and as 8 H100s on two pages


## Score by category

| Category | Weight | Jais 3 | Simplismart | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 48 | 15 | Jais 3 +33 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 54 | 51 | Jais 3 +3 |
| Agent ergonomics | 13% (16.2 this run) | 65 | 17 | Jais 3 +48 |
| Security & auth | 14% (17.5 this run) | 31 | 35 | Simplismart +4 |
| Payments & pricing | 10% (12.5 this run) | 60 | 25 | Jais 3 +35 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 62 | 42 | Jais 3 +20 |
| Transparency & trust | 7% (8.8 this run) | 55 | 31 | Jais 3 +24 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **52.1 · D** | **29.7 · F** | |

## Facts side by side

| Fact | Jais 3 | Simplismart |
| --- | --- | --- |
| Kind | Model API | HTTP API |
| Vendor | Institute of Foundation Models (MBZUAI) and Inception42 | Verute Technologies Private Limited |
| Hosted endpoint | no (local only) | `https://api.simplismart.live` |
| 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 | Proprietary hosted service. The community Pipecat integration (pipecat-simplismart, by the simpli-smart GitHub account) is BSD-2-Clause; served models keep their own licences. |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-10-15 | 2026-10-19 |
| 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) | none |

## 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.

**Simplismart.** Simplismart exposes open models through an OpenAI-compatible endpoint with public per-token prices and expiring, revocable keys. Its public docs give no request rate limits, status page, retry guidance, tool-calling or structured-output reference, and its terms and privacy policy cover the website, not API data.

## 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

### Simplismart

1. Point an OpenAI-compatible client at https://api.simplismart.live with SIMPLISMART_API_KEY as a Bearer token, and take model ids from the marketplace or the per-model API pages.
2. Set a key expiry and rotate before midnight UTC on the expiry date, because an expired key returns 401.
3. Cap retries yourself with exponential backoff, because no rate limits, 429 format or retry guidance are published.
4. Check that a model supports tools or JSON output with a test call before relying on it, because neither is documented.
5. Confirm the per-token price of the exact model in the console before running large jobs, because the public price list is incomplete.

## Questions

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

Jais 3 scores 52.1 (D) on agent readiness against Simplismart's 29.7 (F), and leads in 6 of 7 scored categories.

### Do Jais 3 and Simplismart need an API key?

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

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

No hosted endpoint is listed for Jais 3. Simplismart has a hosted endpoint at https://api.simplismart.live.


## For agents

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

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