Mistral Nemotron vs Mistral Small
Mistral Nemotron (2025) and Mistral Small (2024) are compact production models from MistralAI. Mistral Nemotron ships a not-yet-sourced context window, while Mistral Small ships a 32K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Mistral Nemotron is safer overall; choose Mistral Small when provider fit matters.
Decision scorecard
Local evidence first| Signal | Mistral Nemotron | Mistral Small |
|---|---|---|
| Decision fit | General | Classification and JSON / Tool use |
| Context window | — | 32K |
| Cheapest output | - | $0.3/1M tokens |
| Provider routes | 1 tracked | 5 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Use Mistral Nemotron when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Mistral Small has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Small has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Small uniquely exposes Structured outputs in local model data.
- Local decision data tags Mistral Small for Classification and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Mistral Nemotron
Unavailable
No complete token price in local provider data
Mistral Small
$155
Cheapest tracked route: Mistral AI Studio
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Mistral Nemotron and Mistral Small; plan for SDK, billing, or endpoint changes.
- Mistral Small adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Mistral Small and Mistral Nemotron; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-01 | 2024-02-26 |
| Context window | — | 32K |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | 1 | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Mistral Nemotron | Mistral Small |
|---|---|---|
| Input price | - | $0.1/1M tokens |
| Output price | - | $0.3/1M tokens |
| Providers |
Capabilities
| Capability | Mistral Nemotron | Mistral Small |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: Mistral Small. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: Mistral Nemotron has no token price sourced yet and Mistral Small has $0.1/1M input tokens. Provider availability is 1 tracked routes versus 5. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Mistral Nemotron when provider fit are central to the workload. Choose Mistral Small when provider fit and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Is Mistral Nemotron or Mistral Small open source?
Mistral Nemotron is listed under 1. Mistral Small is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for structured outputs, Mistral Nemotron or Mistral Small?
Mistral Small has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Mistral Nemotron and Mistral Small?
Mistral Nemotron is available on NVIDIA NIM. Mistral Small is available on Microsoft Foundry, AWS Bedrock, Mistral AI Studio, Fireworks AI, and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Mistral Nemotron over Mistral Small?
Mistral Nemotron is safer overall; choose Mistral Small when provider fit matters. If your workload also depends on provider fit, start with Mistral Nemotron; if it depends on provider fit, run the same evaluation with Mistral Small.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.