Llama 3.1 405B vs Mistral Large 3 675B Instruct
Llama 3.1 405B (2024) and Mistral Large 3 675B Instruct (2025) are compact production models from AI at Meta and MistralAI. Llama 3.1 405B ships a 128k-token context window, while Mistral Large 3 675B Instruct ships a 128k-token context window. On Google-Proof Q&A, Llama 3.1 405B leads by 7.6 pts. 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 safer overall; choose Llama 3.1 405B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama 3.1 405B | Mistral Large 3 675B Instruct |
|---|---|---|
| Best for | general production evaluation | multimodal apps and provider-routed production |
| Decision fit | Coding, Long context, and Classification | Coding, RAG, and Agents |
| Context window | 128k | 128k |
| Cheapest output | - | $1.50/1M tokens |
| Provider routes | 0 tracked | 6 tracked |
| Shared benchmarks | Google-Proof Q&A leader | 2 shared |
Decision tradeoffs
- Llama 3.1 405B holds a shared-benchmark lead on Google-Proof Q&A, ahead by 7.6 points.
- Local decision data tags Llama 3.1 405B for Coding, Long context, and Classification.
- Mistral Large 3 675B Instruct holds a shared-benchmark lead on HumanEval, ahead by 3 points.
- Mistral Large 3 675B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 3 675B Instruct uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
- Local decision data tags Mistral Large 3 675B Instruct for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3.1 405B
Unavailable
No complete token price in local provider data
Mistral Large 3 675B Instruct
$775
Cheapest tracked route/tier: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Llama 3.1 405B and Mistral Large 3 675B Instruct; plan for SDK, billing, or endpoint changes.
- Mistral Large 3 675B Instruct adds Vision, Multimodal, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Mistral Large 3 675B Instruct and Llama 3.1 405B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2025-12-01 |
| Context window | 128k | 128k |
| Parameters | 405B | 675B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2023-12 | 2024-11 |
Pricing and availability
| Pricing attribute | Llama 3.1 405B | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | - | $0.50/1M tokens |
| Output price | - | $1.50/1M tokens |
| Providers | - |
Capabilities
| Capability | Llama 3.1 405B | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Llama 3.1 405B | Mistral Large 3 675B Instruct |
|---|---|---|
| Google-Proof Q&A | 51.5 | 43.9 |
| HumanEval | 89.0 | 92.0 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has Llama 3.1 405B at 51.5 and Mistral Large 3 675B Instruct at 43.9, with Llama 3.1 405B ahead by 7.6 points; HumanEval has Llama 3.1 405B at 89 and Mistral Large 3 675B Instruct at 92, with Mistral Large 3 675B Instruct ahead by 3 points. The largest visible gap is 7.6 points on Google-Proof Q&A, 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 vision: Mistral Large 3 675B Instruct, multimodal input: Mistral Large 3 675B Instruct, 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: Llama 3.1 405B has no token price sourced yet and Mistral Large 3 675B Instruct has $0.50/1M input tokens. Provider availability is 0 tracked routes versus 6. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Llama 3.1 405B when provider fit are central to the workload. Choose Mistral Large 3 675B Instruct when vision-heavy evaluation and broader provider choice 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, Llama 3.1 405B or Mistral Large 3 675B Instruct?
Llama 3.1 405B supports 128k 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 Llama 3.1 405B or Mistral Large 3 675B Instruct open source?
Llama 3.1 405B is listed under Llama 3 Community. Mistral Large 3 675B Instruct is listed under Apache 2.0. 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, Llama 3.1 405B or Mistral Large 3 675B Instruct?
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, Llama 3.1 405B or Mistral Large 3 675B Instruct?
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.
Which is better for structured outputs, Llama 3.1 405B or Mistral Large 3 675B 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 Llama 3.1 405B and Mistral Large 3 675B Instruct?
Llama 3.1 405B is available on the tracked providers still being sourced. Mistral Large 3 675B Instruct is available on OpenRouter, AWS Bedrock, NVIDIA NIM, Mistral AI Studio, and Microsoft Foundry. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-19. Data sourced from public model cards and provider documentation.