Mistral Large 3 675B Instruct vs Nemotron Mini 4B Instruct
Mistral Large 3 675B Instruct (2025) and Nemotron Mini 4B Instruct (2024) are compact production models from MistralAI and NVIDIA AI. Mistral Large 3 675B Instruct ships a 128K-token context window, while Nemotron Mini 4B Instruct ships a 4K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Mistral Large 3 675B Instruct fits 32x more tokens; pick it for long-context work and Nemotron Mini 4B Instruct for tighter calls.
Decision scorecard
Local evidence first| Signal | Mistral Large 3 675B Instruct | Nemotron Mini 4B Instruct |
|---|---|---|
| Decision fit | RAG, Agents, and Long context | General |
| Context window | 128K | 4K |
| Cheapest output | $1.5/1M tokens | - |
| Provider routes | 3 tracked | 1 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 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 RAG, Agents, and Long context.
- Use Nemotron Mini 4B Instruct when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Mistral Large 3 675B Instruct
$775
Cheapest tracked route: AWS Bedrock
Nemotron Mini 4B Instruct
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 NVIDIA NIM; start route-level A/B tests there.
- Check replacement coverage for Structured outputs before moving production traffic.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Mistral Large 3 675B Instruct adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-01 | 2024-08-01 |
| Context window | 128K | 4K |
| Parameters | 675B | 4B |
| Architecture | decoder only | decoder only |
| License | 1 | 1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Mistral Large 3 675B Instruct | Nemotron Mini 4B Instruct |
|---|---|---|
| Input price | $0.5/1M tokens | - |
| Output price | $1.5/1M tokens | - |
| Providers |
Capabilities
| Capability | Mistral Large 3 675B Instruct | Nemotron Mini 4B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on 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 $0.5/1M input tokens and Nemotron Mini 4B Instruct has no token price sourced yet. Provider availability is 3 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 long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Nemotron Mini 4B Instruct 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 3 675B Instruct or Nemotron Mini 4B Instruct?
Mistral Large 3 675B Instruct supports 128K tokens, while Nemotron Mini 4B Instruct supports 4K 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 Mini 4B Instruct open source?
Mistral Large 3 675B Instruct is listed under 1. Nemotron Mini 4B Instruct is listed under 1. 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 structured outputs, Mistral Large 3 675B Instruct or Nemotron Mini 4B Instruct?
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 Mini 4B Instruct?
Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, and Mistral AI Studio. Nemotron Mini 4B Instruct is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Mistral Large 3 675B Instruct over Nemotron Mini 4B Instruct?
Mistral Large 3 675B Instruct fits 32x more tokens; pick it for long-context work and Nemotron Mini 4B Instruct for tighter calls. If your workload also depends on long-context analysis, start with Mistral Large 3 675B Instruct; if it depends on provider fit, run the same evaluation with Nemotron Mini 4B Instruct.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.