Mistral Small 3.2 24B vs Nemotron 3 Nano Omni
Mistral Small 3.2 24B (2025) and Nemotron 3 Nano Omni (2026) are compact production models from MistralAI and NVIDIA AI. Mistral Small 3.2 24B 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 3.2 24B when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Mistral Small 3.2 24B | Nemotron 3 Nano Omni |
|---|---|---|
| Best for | multimodal apps and tool-calling agents | multimodal apps |
| Decision fit | Coding, RAG, and Agents | Long context, Vision, and Classification |
| Context window | 128k | 262k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral Small 3.2 24B uniquely exposes Vision, Function calling, and Tool use in local model data.
- Local decision data tags Mistral Small 3.2 24B for Coding, RAG, and Agents.
- 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 3.2 24B
Unavailable
No complete token price in local provider data
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
- No overlapping tracked provider route is sourced for Mistral Small 3.2 24B and Nemotron 3 Nano Omni; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Function calling, and Tool use before moving production traffic.
- No overlapping tracked provider route is sourced for Nemotron 3 Nano Omni and Mistral Small 3.2 24B; plan for SDK, billing, or endpoint changes.
- Mistral Small 3.2 24B adds Vision, Function calling, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-01 | 2026-04-28 |
| Context window | 128k | 262k |
| Parameters | 24B | 30B |
| Architecture | decoder only | 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 3.2 24B | Nemotron 3 Nano Omni |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Mistral Small 3.2 24B | Nemotron 3 Nano Omni |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | Yes | 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 3.2 24B, function calling: Mistral Small 3.2 24B, tool use: Mistral Small 3.2 24B, structured outputs: Mistral Small 3.2 24B, and code execution: Mistral Small 3.2 24B. 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 3.2 24B has no token price sourced yet and Nemotron 3 Nano Omni has no token price sourced yet. Provider availability is 1 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 3.2 24B when coding workflow support 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.
FAQ
Which has a larger context window, Mistral Small 3.2 24B or Nemotron 3 Nano Omni?
Nemotron 3 Nano Omni supports 262k tokens, while Mistral Small 3.2 24B 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 3.2 24B or Nemotron 3 Nano Omni open source?
Mistral Small 3.2 24B 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 3.2 24B or Nemotron 3 Nano Omni?
Mistral Small 3.2 24B 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 3.2 24B or Nemotron 3 Nano Omni?
Both Mistral Small 3.2 24B 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 function calling, Mistral Small 3.2 24B or Nemotron 3 Nano Omni?
Mistral Small 3.2 24B has the clearer documented function calling signal in this comparison. If function calling 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 3.2 24B and Nemotron 3 Nano Omni?
Mistral Small 3.2 24B is available on Venice AI. Nemotron 3 Nano Omni is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Continue comparing
Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.