Mistral Large 3 675B Instruct vs Nemotron 4 340B
Mistral Large 3 675B Instruct (2025) and Nemotron 4 340B (2025) are compact production models from MistralAI and NVIDIA AI. Mistral Large 3 675B Instruct ships a 128k-token context window, while Nemotron 4 340B ships a 4k-token context window. On pricing, Mistral Large 3 675B Instruct 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 3 675B Instruct is ~740% cheaper at $0.50/1M; pay for Nemotron 4 340B only for provider fit.
Decision scorecard
Local evidence first| Signal | Mistral Large 3 675B Instruct | Nemotron 4 340B |
|---|---|---|
| Best for | multimodal apps and provider-routed production | provider-routed production |
| Decision fit | Coding, RAG, and Agents | Classification and JSON / Tool use |
| Context window | 128k | 4k |
| Cheapest output | $1.50/1M tokens | $4.20/1M tokens |
| Provider routes | 5 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral Large 3 675B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Large 3 675B Instruct has the lower cheapest tracked output price at $1.50/1M tokens.
- Mistral Large 3 675B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 3 675B Instruct uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Mistral Large 3 675B Instruct for Coding, RAG, and Agents.
- 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 3 675B Instruct
$775
Cheapest tracked route/tier: AWS Bedrock
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
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- 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 and Multimodal before moving production traffic.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Mistral Large 3 675B Instruct is $2.70/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Mistral Large 3 675B Instruct adds Vision and Multimodal in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-01 | 2025-02-27 |
| Context window | 128k | 4k |
| Parameters | 675B | 340B |
| Architecture | decoder only | decoder only |
| License | Mistral License | NVIDIA Open Model |
| Openness | Open weights | Open weights |
| Commercial use | Non-commercial only | Commercial use allowed |
| Knowledge cutoff | 2024-11 | - |
Pricing and availability
| Pricing attribute | Mistral Large 3 675B Instruct | 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 3 675B Instruct | Nemotron 4 340B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | 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 rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Mistral Large 3 675B Instruct and multimodal input: Mistral Large 3 675B Instruct. 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 3 675B Instruct 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 3 675B Instruct lower by about $3.40 per million blended tokens. Availability is 5 providers versus 2, so concentration risk also matters.
Choose Mistral Large 3 675B Instruct 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.
FAQ
Which has a larger context window, Mistral Large 3 675B Instruct or Nemotron 4 340B?
Mistral Large 3 675B Instruct 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 3 675B Instruct or Nemotron 4 340B?
Mistral Large 3 675B Instruct is cheaper on tracked token pricing. Mistral Large 3 675B Instruct 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 3 675B Instruct or Nemotron 4 340B open source?
Mistral Large 3 675B Instruct 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 3 675B Instruct or Nemotron 4 340B?
Mistral Large 3 675B Instruct 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 3 675B Instruct or Nemotron 4 340B?
Mistral Large 3 675B Instruct 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.
Where can I run Mistral Large 3 675B Instruct and Nemotron 4 340B?
Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, Mistral AI Studio, Microsoft Foundry, and Vercel AI Gateway. Nemotron 4 340B is available on NVIDIA NIM and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.