Mistral Large 3 675B Instruct vs Nemotron 3 Nano Omni
Mistral Large 3 675B Instruct (2025) and Nemotron 3 Nano Omni (2026) are compact production models from MistralAI and NVIDIA AI. Mistral Large 3 675B Instruct ships a 128k-token context window, while Nemotron 3 Nano Omni ships a 262k-token context window. On MMLU PRO, Mistral Large 3 675B Instruct leads by 13.7 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 3 675B Instruct when provider fit matters.
Decision scorecard
Local evidence first| Signal | Mistral Large 3 675B Instruct | Nemotron 3 Nano Omni |
|---|---|---|
| Best for | provider-routed production | multimodal apps |
| Decision fit | Coding, RAG, and Agents | Long context, Vision, and Classification |
| Context window | 128k | 262k |
| Cheapest output | $1.50/1M tokens | - |
| Provider routes | 5 tracked | 1 tracked |
| Shared benchmarks | MMLU PRO leader | 1 rows |
Decision tradeoffs
- Mistral Large 3 675B Instruct leads the largest shared benchmark signal on MMLU PRO by 13.7 points.
- Mistral Large 3 675B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 3 675B Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Mistral Large 3 675B Instruct for Coding, RAG, and Agents.
- Nemotron 3 Nano Omni has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Nemotron 3 Nano Omni uniquely exposes Multimodal in local model data.
- 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 3 675B Instruct
$775
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
- No overlapping tracked provider route is sourced for Mistral Large 3 675B Instruct and Nemotron 3 Nano Omni; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- Nemotron 3 Nano Omni adds Multimodal in local capability data.
- No overlapping tracked provider route is sourced for Nemotron 3 Nano Omni and Mistral Large 3 675B Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Multimodal before moving production traffic.
- Mistral Large 3 675B Instruct adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-01 | 2026-04-28 |
| Context window | 128k | 262k |
| Parameters | 675B | 30B |
| Architecture | decoder only | Hybrid Mamba-Transformer MoE |
| License | 1 | Open Source |
| Knowledge cutoff | 2024-11 | - |
Pricing and availability
| Pricing attribute | Mistral Large 3 675B Instruct | Nemotron 3 Nano Omni |
|---|---|---|
| Input price | $0.50/1M tokens | - |
| Output price | $1.50/1M tokens | - |
| Providers |
Capabilities
| Capability | Mistral Large 3 675B Instruct | Nemotron 3 Nano Omni |
|---|---|---|
| Vision | No | No |
| Multimodal | No | 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
| Benchmark | Mistral Large 3 675B Instruct | Nemotron 3 Nano Omni |
|---|---|---|
| MMLU PRO | 85.5 | 71.8 |
Deep dive
On shared benchmark coverage, MMLU PRO has Mistral Large 3 675B Instruct at 85.5 and Nemotron 3 Nano Omni at 71.8, with Mistral Large 3 675B Instruct ahead by 13.7 points. The largest visible gap is 13.7 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 multimodal input: Nemotron 3 Nano Omni and structured outputs: Mistral Large 3 675B Instruct. 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 Large 3 675B Instruct has $0.50/1M input tokens and Nemotron 3 Nano Omni has no token price sourced yet. Provider availability is 5 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 3 675B Instruct when provider fit 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 3 675B Instruct or Nemotron 3 Nano Omni?
Nemotron 3 Nano Omni supports 262k tokens, while Mistral Large 3 675B 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 Large 3 675B Instruct or Nemotron 3 Nano Omni open source?
Mistral Large 3 675B Instruct is listed under 1. 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 multimodal input, Mistral Large 3 675B Instruct or Nemotron 3 Nano Omni?
Nemotron 3 Nano Omni has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, Mistral Large 3 675B Instruct or Nemotron 3 Nano Omni?
Mistral Large 3 675B 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 Large 3 675B Instruct and Nemotron 3 Nano Omni?
Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, Mistral AI Studio, Microsoft Foundry, and Vercel AI Gateway. Nemotron 3 Nano Omni is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Mistral Large 3 675B Instruct over Nemotron 3 Nano Omni?
Nemotron 3 Nano Omni is safer overall; choose Mistral Large 3 675B Instruct when provider fit matters. If your workload also depends on provider fit, start with Mistral Large 3 675B Instruct; if it depends on long-context analysis, run the same evaluation with Nemotron 3 Nano Omni.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.