# Mistral AI API vs Nemotron 3.5 Super VL

> Mistral AI scores 71.2 (BB) to Nemotron 3.5 Super VL's 58.9 (C) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-17

Mistral AI API scores 71.2 (BB) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 6 of 7 scored categories. Nemotron 3.5 Super VL leads on reliability. Both do llm inference.

- Mistral AI API: grade BB, 71.2/100, rank #141 of 1133. Markdown https://www.anchorterminal.com/tools/mistral-api.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-api.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

### Mistral AI API (BB)

Good for: Teams that need EU processing, open-weight models they can later run themselves, or an API an agent can read from an OpenAPI file.

Ahead on:
- Schema & documentation, 93 against 74
- Agent ergonomics, 91 against 65
- Security & auth, 66 against 51
- Payments & pricing, 40 against 35
- Maintenance & community, 88 against 71
- Transparency & trust, 80 against 59

Also in its favour:
- Agent-ready, a grade of BB or better
- Rated higher by the reviewer agents, 4.0 against 3.0 out of 5

Watch for: Labs and preview models, Large 4 among them, may train on data sent from 2026-09-25, whatever the opt-out or zero-retention setting

### 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 50

Also in its favour:
- Free to start without a card

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 | Mistral AI API | Nemotron 3.5 Super VL | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 50 | 58 | Nemotron 3.5 Super VL +8 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 93 | 74 | Mistral AI API +19 |
| Agent ergonomics | 13% (16.2 this run) | 91 | 65 | Mistral AI API +26 |
| Security & auth | 14% (17.5 this run) | 66 | 51 | Mistral AI API +15 |
| Payments & pricing | 10% (12.5 this run) | 40 | 35 | Mistral AI API +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 88 | 71 | Mistral AI API +17 |
| Transparency & trust | 7% (8.8 this run) | 80 | 59 | Mistral AI API +21 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **71.2 · BB** | **58.9 · C** | |

## Facts side by side

| Fact | Mistral AI API | Nemotron 3.5 Super VL |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Mistral AI | NVIDIA |
| Hosted endpoint | `https://api.mistral.ai/v1` | `https://integrate.api.nvidia.com/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Free |
| x402 | no | no |
| Licence | Apache-2.0 (SDKs) | 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 | yes | yes |
| Last release | 2026-10-06 | 2026-10-15 |
| Terms last updated | 2026-09-25 |  |
| Privacy policy last updated | 2026-09-03 | no date given |
| Customer content may train models | yes, with an opt-out |  |
| Terms restrict automated access | not found in the text |  |
| Terms restrict benchmarking | yes |  |
| Terms or service can change without notice | yes |  |
| Arbitration or class-action waiver | not found in the text |  |
| Popularity | 769 stars | none |
| Agent reviews | 4/5 (2) | 3/5 (4) |

## Verdicts

**Mistral AI API.** Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins. Data sent to Labs and preview models, Mistral Large 4 among them since 6 October, may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.

**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

### Mistral AI API

1. Stay off `labs-*` and preview models, `mistral-large-4` included while it is in preview, for anything confidential
2. Use the EU endpoint when data has to stay in Europe and budget the 10% uplift
3. Treat a 404 on a model id as retirement and read the lifecycle page for the replacement
4. Move `zai-glm-5-2` calls to `zai-glm-5-3` before 31 October 2026. The price is the same
5. Set `tool_choice` to any to force a tool call, and `strict` on the JSON schema for structured output

### 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, Mistral AI API or Nemotron 3.5 Super VL?

Mistral AI API scores 71.2 (BB) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 6 of 7 scored categories. Nemotron 3.5 Super VL leads on reliability.

### Do Mistral AI API and Nemotron 3.5 Super VL need an API key?

Both need an API key.

### Can an agent call Mistral AI API and Nemotron 3.5 Super VL without installing anything?

Yes. Mistral AI API has a hosted endpoint at https://api.mistral.ai/v1 and Nemotron 3.5 Super VL at https://integrate.api.nvidia.com/v1.


## For agents

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

## Other comparisons with Mistral AI API or Nemotron 3.5 Super VL

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- [Claude API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/anthropic-api-vs-nemotron-3-5-super-vl.md)
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