Mistral Large 2 vs Nemotron 3 Nano Omni
Mistral Large 2 (2025) and Nemotron 3 Nano Omni (2026) are compact production models from MistralAI and NVIDIA AI. Mistral Large 2 ships a 128k-token context window, while Nemotron 3 Nano Omni ships a 262k-token context window. On MMLU PRO, Nemotron 3 Nano Omni leads by 2.1 pts. 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 Large 2 when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | Mistral Large 2 | Nemotron 3 Nano Omni |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | multimodal apps |
| Decision fit | Coding, RAG, and Agents | Long context, Vision, and Classification |
| Context window | 128k | 262k |
| Cheapest output | $2.40/1M tokens | - |
| Provider routes | 4 tracked | 1 tracked |
| Shared benchmarks | 1 rows | MMLU PRO leader |
Decision tradeoffs
- Mistral Large 2 has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 2 uniquely exposes Vision, Function calling, and Tool use in local model data.
- Local decision data tags Mistral Large 2 for Coding, RAG, and Agents.
- Nemotron 3 Nano Omni leads the largest shared benchmark signal on MMLU PRO by 2.1 points.
- 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 Large 2
$984
Cheapest tracked route/tier: AWS Bedrock
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, Function calling, and Tool use before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Mistral Large 2 adds Vision, Function calling, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-11-25 | 2026-04-28 |
| Context window | 128k | 262k |
| Parameters | 123B | 30B |
| Architecture | decoder only | Hybrid Mamba-Transformer MoE |
| License | True | Open Source |
| Knowledge cutoff | 2025-07 | - |
Pricing and availability
| Pricing attribute | Mistral Large 2 | Nemotron 3 Nano Omni |
|---|---|---|
| Input price | $0.48/1M tokens | - |
| Output price | $2.40/1M tokens | - |
| Providers |
Capabilities
| Capability | Mistral Large 2 | 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 | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Mistral Large 2 | Nemotron 3 Nano Omni |
|---|---|---|
| MMLU PRO | 69.7 | 71.8 |
Deep dive
On shared benchmark coverage, MMLU PRO has Mistral Large 2 at 69.7 and Nemotron 3 Nano Omni at 71.8, with Nemotron 3 Nano Omni ahead by 2.1 points. The largest visible gap is 2.1 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Mistral Large 2, function calling: Mistral Large 2, tool use: Mistral Large 2, and structured outputs: Mistral Large 2. 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 Large 2 has $0.48/1M input tokens and Nemotron 3 Nano Omni has no token price sourced yet. Provider availability is 4 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 Large 2 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.
FAQ
Which has a larger context window, Mistral Large 2 or Nemotron 3 Nano Omni?
Nemotron 3 Nano Omni supports 262k tokens, while Mistral Large 2 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 Large 2 or Nemotron 3 Nano Omni open source?
Mistral Large 2 is listed under True. Nemotron 3 Nano Omni is listed under Open Source. 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 Large 2 or Nemotron 3 Nano Omni?
Mistral Large 2 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 Large 2 or Nemotron 3 Nano Omni?
Both Mistral Large 2 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 Large 2 or Nemotron 3 Nano Omni?
Mistral Large 2 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 Large 2 and Nemotron 3 Nano Omni?
Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. Nemotron 3 Nano Omni is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.