Llama 3.1 405B vs Mistral Large 2 (2407)
Llama 3.1 405B (2024) and Mistral Large 2 (2407) (2024) are compact production models from AI at Meta and MistralAI. Both ship a 128K-token context window. On HumanEval, Mistral Large 2 (2407) leads by 3 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Mistral Large 2 (2407) is safer overall; choose Llama 3.1 405B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama 3.1 405B | Mistral Large 2 (2407) |
|---|---|---|
| Best for | general production evaluation | tool-calling agents 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 | 7 tracked |
| Shared benchmarks | 3 shared | HumanEval leader |
Decision tradeoffs
- Llama 3.1 405B holds a shared-benchmark lead on Massive Multitask Language Understanding, ahead by 4.6 points.
- Local decision data tags Llama 3.1 405B for Coding, Long context, and Classification.
- Mistral Large 2 (2407) holds a shared-benchmark lead on HumanEval, ahead by 3 points.
- Mistral Large 2 (2407) has broader tracked provider coverage for fallback and route flexibility.
- Mistral Large 2 (2407) uniquely exposes JSON / Tool use and Structured outputs in local model data.
- Local decision data tags Mistral Large 2 (2407) 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 2 (2407)
$775
Cheapest tracked route/tier: Chutes AI
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 2 (2407); plan for SDK, billing, or endpoint changes.
- Mistral Large 2 (2407) adds JSON / Tool use and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Mistral Large 2 (2407) and Llama 3.1 405B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for JSON / Tool use and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2024-07-24 |
| Context window | 128K | 128K |
| Parameters | 405B | 123B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Mistral License |
| Openness | Open weights | Open weights |
| Weights | Available | Available |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Not permitted |
| Knowledge cutoff | 2023-12 | 2024-03 |
Pricing and availability
| Pricing attribute | Llama 3.1 405B | Mistral Large 2 (2407) |
|---|---|---|
| Input price | - | $0.50/1M tokens |
| Output price | - | $1.50/1M tokens |
| Providers | - |
Capabilities
| Capability | Llama 3.1 405B | Mistral Large 2 (2407) |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | Yes |
| 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 2 (2407) |
|---|---|---|
| HumanEval | 89.0 | 92.0 |
| Chatbot Arena | 1228.0 | 1266.0 |
| Massive Multitask Language Understanding | 88.6 | 84.0 |
Deep dive
On shared benchmark coverage, HumanEval has Llama 3.1 405B at 89 and Mistral Large 2 (2407) at 92, with Mistral Large 2 (2407) ahead by 3 points; Chatbot Arena has Llama 3.1 405B at 1228 and Mistral Large 2 (2407) at 1266, with Mistral Large 2 (2407) ahead by 38 points; Massive Multitask Language Understanding has Llama 3.1 405B at 88.6 and Mistral Large 2 (2407) at 84, with Llama 3.1 405B ahead by 4.6 points. The largest visible gap is 38 points on Chatbot Arena, 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 JSON / Tool use: Mistral Large 2 (2407) and structured outputs: Mistral Large 2 (2407). 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 2 (2407) has $0.50/1M input tokens. Provider availability is 0 tracked routes versus 7. 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 2 (2407) when provider fit 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 2 (2407)?
Llama 3.1 405B supports 128K tokens, while Mistral Large 2 (2407) 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 2 (2407) open source?
Llama 3.1 405B is listed under Llama 3 Community. Mistral Large 2 (2407) is listed under Mistral License. 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 JSON / Tool use, Llama 3.1 405B or Mistral Large 2 (2407)?
Mistral Large 2 (2407) has the clearer documented JSON / Tool use signal in this comparison. If JSON / Tool use 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 2 (2407)?
Mistral Large 2 (2407) 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 2 (2407)?
Llama 3.1 405B is available on the tracked providers still being sourced. Mistral Large 2 (2407) is available on Microsoft Foundry, IBM watsonx, OpenRouter, AWS Bedrock, and Chutes AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 3.1 405B over Mistral Large 2 (2407)?
Mistral Large 2 (2407) is safer overall; choose Llama 3.1 405B when provider fit matters. If your workload also depends on provider fit, start with Llama 3.1 405B; if it depends on provider fit, run the same evaluation with Mistral Large 2 (2407).
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Last reviewed: 2026-10-17. Data sourced from public model cards and provider documentation.