# Jais 3 vs Nemotron 3.5 Super VL

> Nemotron 3.5 Super VL scores 58.9 (C) 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

Nemotron 3.5 Super VL scores 58.9 (C) on agent readiness against Jais 3's 51.7 (D), and leads in 5 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
- Nemotron 3.5 Super VL: grade C, 58.9/100, rank #621 of 1133. Markdown https://www.anchorterminal.com/tools/nemotron-3-5-super-vl.md · JSON https://www.anchorterminal.com/api/v1/tools/nemotron-3-5-super-vl.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 35

Also in its favour:
- No key needed to call it

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

### Nemotron 3.5 Super VL (C)

Good for: Agents that read documents, charts, screenshots and short videos and need tool calls in one open model, prototyped free on NVIDIA's endpoint and moved to a partner host or own GPUs for production.

Ahead on:
- Reliability, 58 against 48
- Schema & documentation, 74 against 54
- Security & auth, 51 against 31
- Maintenance & community, 71 against 62
- Transparency & trust, 59 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: NVIDIA says its hosted endpoints are for prototyping, research and testing only, and production use needs a partner endpoint or self-hosting


## Score by category

| Category | Weight | Jais 3 | Nemotron 3.5 Super VL | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 48 | 58 | Nemotron 3.5 Super VL +10 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 54 | 74 | Nemotron 3.5 Super VL +20 |
| Agent ergonomics | 13% (16.2 this run) | 65 | 65 | even |
| Security & auth | 14% (17.5 this run) | 31 | 51 | Nemotron 3.5 Super VL +20 |
| Payments & pricing | 10% (12.5 this run) | 60 | 35 | Jais 3 +25 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 62 | 71 | Nemotron 3.5 Super VL +9 |
| Transparency & trust | 7% (8.8 this run) | 50 | 59 | Nemotron 3.5 Super VL +9 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **51.7 · D** | **58.9 · C** | |

## Facts side by side

| Fact | Jais 3 | Nemotron 3.5 Super VL |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Institute of Foundation Models (MBZUAI) and Inception42 | NVIDIA |
| Hosted endpoint | no (local only) | `https://integrate.api.nvidia.com/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 | OpenMDW-1.1 for the weights (permissive, not an OSI licence). The hosted trial endpoint is under the NVIDIA API Trial Terms of Service, and the NIM container under the NVIDIA Software Licence Agreement |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-10-15 | 2026-10-15 |
| Terms last updated | no document linked |  |
| Privacy policy last updated | no document linked | no date given |
| 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) | 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.

**Nemotron 3.5 Super VL.** NVIDIA's free endpoint takes OpenAI-format requests with typed tool calls, JSON Schema output and an OpenAPI 3.1 file, and the weights run anywhere under a permissive licence. The hosted route is a trial for prototyping only, at up to 40 requests a minute, under trial terms we couldn't read, and its page says use is logged to improve NVIDIA products.

## 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

### Nemotron 3.5 Super VL

1. Set `chat_template_kwargs` to `{"enable_thinking": false}` for short tasks. Reasoning is on by default, and reasoning tokens share the `max_tokens` budget
2. Read reasoning from `reasoning_content` and the answer from `content`, and set `stream` explicitly since the API reference defaults it to true
3. Don't send confidential or personal data to the hosted trial. The model page asks callers not to and says use is logged
4. Back off and retry on throttling. Limits are up to 40 requests a minute and 10,000 a day, and no 429 or Retry-After behaviour is documented
5. For production, use a partner endpoint or serve the weights. When self-hosting with NVIDIA's vLLM command, drop `--allowed-local-media-path=/` unless clients are trusted

## Questions

### Which is better for AI agents, Jais 3 or Nemotron 3.5 Super VL?

Nemotron 3.5 Super VL scores 58.9 (C) on agent readiness against Jais 3's 51.7 (D), and leads in 5 of 7 scored categories. Jais 3 leads on payments & pricing.

### Do Jais 3 and Nemotron 3.5 Super VL need an API key?

Jais 3 needs no key. Nemotron 3.5 Super VL needs an API key.

### Can an agent call Jais 3 and Nemotron 3.5 Super VL without installing anything?

No hosted endpoint is listed for Jais 3. Nemotron 3.5 Super VL has a hosted endpoint at https://integrate.api.nvidia.com/v1.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/jais-3-vs-nemotron-3-5-super-vl.json, and with the fewest tokens: https://www.anchorterminal.com/compare/jais-3-vs-nemotron-3-5-super-vl.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "jais-3", "b": "nemotron-3-5-super-vl"}`. From a terminal: `anchor compare jais-3 nemotron-3-5-super-vl`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/jais-3.json and https://www.anchorterminal.com/api/v1/tools/nemotron-3-5-super-vl.json

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