Mistral Large 2 (2407) vs Nemotron 4 340B
Mistral Large 2 (2407) (2024) and Nemotron 4 340B (2025) are compact production models from MistralAI and NVIDIA AI. Mistral Large 2 (2407) ships a 128k-token context window, while Nemotron 4 340B ships a 4k-token context window. On pricing, Mistral Large 2 (2407) costs $0.50/1M input tokens versus $4.20/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Large 2 (2407) is ~740% cheaper at $0.50/1M; pay for Nemotron 4 340B only for provider fit.
Decision scorecard
Local evidence first| Signal | Mistral Large 2 (2407) | Nemotron 4 340B |
|---|---|---|
| Best for | multimodal apps and provider-routed production | provider-routed production |
| Decision fit | RAG, Long context, and Vision | Classification and JSON / Tool use |
| Context window | 128k | 4k |
| Cheapest output | $1.50/1M tokens | $4.20/1M tokens |
| Provider routes | 3 tracked | 2 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Mistral Large 2 (2407) has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Large 2 (2407) has the lower cheapest tracked output price at $1.50/1M tokens.
- 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.
- Local decision data tags Nemotron 4 340B for Classification and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Mistral Large 2 (2407)
$775
Cheapest tracked route/tier: Chutes AI
Nemotron 4 340B
$4,410
Cheapest tracked route/tier: DeepInfra
Estimated monthly gap: $3,635. Batch, cache, alternate speed tiers, 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 4 340B; plan for SDK, billing, or endpoint changes.
- Nemotron 4 340B is $2.70/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision before moving production traffic.
- No overlapping tracked provider route is sourced for Nemotron 4 340B and Mistral Large 2 (2407); plan for SDK, billing, or endpoint changes.
- Mistral Large 2 (2407) is $2.70/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Mistral Large 2 (2407) adds Vision in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2025-02-27 |
| Context window | 128k | 4k |
| Parameters | 123B | 340B |
| Architecture | Decoder Only | Decoder Only |
| License | Mistral License | NVIDIA Open Model |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use: non-commercial | Commercial use: permitted |
| Knowledge cutoff | 2024-03 | - |
Pricing and availability
| Pricing attribute | Mistral Large 2 (2407) | Nemotron 4 340B |
|---|---|---|
| Input price | $0.50/1M tokens | $4.20/1M tokens |
| Output price | $1.50/1M tokens | $4.20/1M tokens |
| Providers |
Capabilities
| Capability | Mistral Large 2 (2407) | Nemotron 4 340B |
|---|---|---|
| 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 |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available 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 $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider, while Nemotron 4 340B lists $4.20/1M input and $4.20/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Large 2 (2407) lower by about $3.40 per million blended tokens. Availability is 3 providers versus 2, so concentration risk also matters.
Choose Mistral Large 2 (2407) when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Nemotron 4 340B when provider fit 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 Large 2 (2407) or Nemotron 4 340B?
Mistral Large 2 (2407) supports 128k tokens, while Nemotron 4 340B supports 4k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Mistral Large 2 (2407) or Nemotron 4 340B?
Mistral Large 2 (2407) is cheaper on tracked token pricing. Mistral Large 2 (2407) costs $0.50/1M input and $1.50/1M output tokens. Nemotron 4 340B costs $4.20/1M input and $4.20/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Large 2 (2407) or Nemotron 4 340B open source?
Mistral Large 2 (2407) is listed under Mistral License. Nemotron 4 340B 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 Large 2 (2407) or Nemotron 4 340B?
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 4 340B?
Both Mistral Large 2 (2407) and Nemotron 4 340B 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 4 340B?
Mistral Large 2 (2407) is available on Microsoft Foundry, Chutes AI, and SiliconFlow. Nemotron 4 340B is available on NVIDIA NIM and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-16. Data sourced from public model cards and provider documentation.