Mistral Small 3.1 24B Instruct vs Nemotron 3 Nano Omni
Mistral Small 3.1 24B Instruct (2025) and Nemotron 3 Nano Omni (2026) are compact production models from MistralAI and NVIDIA AI. Mistral Small 3.1 24B Instruct ships a 128k-token context window, while Nemotron 3 Nano Omni ships a 262k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Nemotron 3 Nano Omni is safer overall; choose Mistral Small 3.1 24B Instruct when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | Mistral Small 3.1 24B Instruct | Nemotron 3 Nano Omni |
|---|---|---|
| Best for | multimodal apps and provider-routed production | multimodal apps |
| Decision fit | RAG, Long context, and Vision | Long context, Vision, and Classification |
| Context window | 128k | 262k |
| Cheapest output | $0.30/1M tokens | - |
| Provider routes | 6 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral Small 3.1 24B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Small 3.1 24B Instruct uniquely exposes Vision and Structured outputs in local model data.
- Local decision data tags Mistral Small 3.1 24B Instruct for RAG, Long context, and Vision.
- Nemotron 3 Nano Omni has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Nemotron 3 Nano Omni for Long context, Vision, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Mistral Small 3.1 24B Instruct
$155
Cheapest tracked route/tier: Together AI
Nemotron 3 Nano Omni
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Check replacement coverage for Vision and Structured outputs before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Mistral Small 3.1 24B Instruct adds Vision and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-15 | 2026-04-28 |
| Context window | 128k | 262k |
| Parameters | 24B | 30B |
| Architecture | dense | Hybrid Mamba-Transformer MoE |
| License | Apache 2.0(OSI) | NVIDIA Open Model |
| Openness | Open source | Open weights |
| Commercial use | Commercial use allowed | Commercial use allowed |
| Knowledge cutoff | 2023-10 | - |
Pricing and availability
| Pricing attribute | Mistral Small 3.1 24B Instruct | Nemotron 3 Nano Omni |
|---|---|---|
| Input price | $0.10/1M tokens | - |
| Output price | $0.30/1M tokens | - |
| Providers |
Capabilities
| Capability | Mistral Small 3.1 24B Instruct | Nemotron 3 Nano Omni |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Mistral Small 3.1 24B Instruct and structured outputs: Mistral Small 3.1 24B Instruct. Both models share multimodal input, 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 Small 3.1 24B Instruct has $0.10/1M input tokens and Nemotron 3 Nano Omni has no token price sourced yet. Provider availability is 6 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Mistral Small 3.1 24B Instruct when vision-heavy evaluation and broader provider choice are central to the workload. Choose Nemotron 3 Nano Omni when long-context analysis and larger context windows 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.
FAQ
Which has a larger context window, Mistral Small 3.1 24B Instruct or Nemotron 3 Nano Omni?
Nemotron 3 Nano Omni supports 262k tokens, while Mistral Small 3.1 24B Instruct supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Mistral Small 3.1 24B Instruct or Nemotron 3 Nano Omni open source?
Mistral Small 3.1 24B Instruct is listed under Apache 2.0. Nemotron 3 Nano Omni is listed under NVIDIA Open Model. 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 vision, Mistral Small 3.1 24B Instruct or Nemotron 3 Nano Omni?
Mistral Small 3.1 24B Instruct has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Mistral Small 3.1 24B Instruct or Nemotron 3 Nano Omni?
Both Mistral Small 3.1 24B Instruct and Nemotron 3 Nano Omni expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for structured outputs, Mistral Small 3.1 24B Instruct or Nemotron 3 Nano Omni?
Mistral Small 3.1 24B Instruct 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 Small 3.1 24B Instruct and Nemotron 3 Nano Omni?
Mistral Small 3.1 24B Instruct is available on Cloudflare Workers AI, OpenRouter, Fireworks AI, NVIDIA NIM, and Together AI. Nemotron 3 Nano Omni is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.