Mistral Large 2 (2407) vs Nemotron-Nano-9B-v2
Mistral Large 2 (2407) (2024) and Nemotron-Nano-9B-v2 (2025) are compact production models from MistralAI and NVIDIA AI. Mistral Large 2 (2407) ships a 128K-token context window, while Nemotron-Nano-9B-v2 ships a not-yet-sourced context window. On pricing, Nemotron-Nano-9B-v2 costs $0.04/1M input tokens versus $0.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Nemotron-Nano-9B-v2 is ~1150% cheaper at $0.04/1M; pay for Mistral Large 2 (2407) only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Mistral Large 2 (2407) | Nemotron-Nano-9B-v2 |
|---|---|---|
| Decision fit | RAG, Long context, and Vision | Classification and JSON / Tool use |
| Context window | 128K | — |
| Cheapest output | $1.5/1M tokens | $0.16/1M tokens |
| Provider routes | 3 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral Large 2 (2407) has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Large 2 (2407) has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 2 (2407) uniquely exposes Vision in local model data.
- Local decision data tags Mistral Large 2 (2407) for RAG, Long context, and Vision.
- Nemotron-Nano-9B-v2 has the lower cheapest tracked output price at $0.16/1M tokens.
- Local decision data tags Nemotron-Nano-9B-v2 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 Large 2 (2407)
$775
Cheapest tracked route: Chutes AI
Nemotron-Nano-9B-v2
$72.00
Cheapest tracked route: OpenRouter
Estimated monthly gap: $703. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Mistral Large 2 (2407) and Nemotron-Nano-9B-v2; plan for SDK, billing, or endpoint changes.
- Nemotron-Nano-9B-v2 is $1.34/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision before moving production traffic.
- No overlapping tracked provider route is sourced for Nemotron-Nano-9B-v2 and Mistral Large 2 (2407); plan for SDK, billing, or endpoint changes.
- Mistral Large 2 (2407) is $1.34/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Large 2 (2407) adds Vision in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2025-08-18 |
| Context window | 128K | — |
| Parameters | 123B | 9B |
| Architecture | decoder only | decoder only |
| License | Apache 2.0 | Unknown |
| Knowledge cutoff | 2024-03 | 2025-03 |
Pricing and availability
| Pricing attribute | Mistral Large 2 (2407) | Nemotron-Nano-9B-v2 |
|---|---|---|
| Input price | $0.5/1M tokens | $0.04/1M tokens |
| Output price | $1.5/1M tokens | $0.16/1M tokens |
| Providers |
Capabilities
| Capability | Mistral Large 2 (2407) | Nemotron-Nano-9B-v2 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Mistral Large 2 (2407). Both models share structured outputs, 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.
For cost, Mistral Large 2 (2407) lists $0.5/1M input and $1.5/1M output tokens, while Nemotron-Nano-9B-v2 lists $0.04/1M input and $0.16/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Nemotron-Nano-9B-v2 lower by about $0.72 per million blended tokens. Availability is 3 providers versus 2, so concentration risk also matters.
Choose Mistral Large 2 (2407) when vision-heavy evaluation and broader provider choice are central to the workload. Choose Nemotron-Nano-9B-v2 when provider fit and lower input-token cost 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
Which is cheaper, Mistral Large 2 (2407) or Nemotron-Nano-9B-v2?
Nemotron-Nano-9B-v2 is cheaper on tracked token pricing. Mistral Large 2 (2407) costs $0.5/1M input and $1.5/1M output tokens. Nemotron-Nano-9B-v2 costs $0.04/1M input and $0.16/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Large 2 (2407) or Nemotron-Nano-9B-v2 open source?
Mistral Large 2 (2407) is listed under Apache 2.0. Nemotron-Nano-9B-v2 is listed under Unknown. 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 (2407) or Nemotron-Nano-9B-v2?
Mistral Large 2 (2407) 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 structured outputs, Mistral Large 2 (2407) or Nemotron-Nano-9B-v2?
Both Mistral Large 2 (2407) and Nemotron-Nano-9B-v2 expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Mistral Large 2 (2407) and Nemotron-Nano-9B-v2?
Mistral Large 2 (2407) is available on Microsoft Foundry, Chutes AI, and SiliconFlow. Nemotron-Nano-9B-v2 is available on NVIDIA NIM and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Mistral Large 2 (2407) over Nemotron-Nano-9B-v2?
Nemotron-Nano-9B-v2 is ~1150% cheaper at $0.04/1M; pay for Mistral Large 2 (2407) only for vision-heavy evaluation. If your workload also depends on vision-heavy evaluation, start with Mistral Large 2 (2407); if it depends on provider fit, run the same evaluation with Nemotron-Nano-9B-v2.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.