Llama 3.1 405B Instruct vs Mistral NeMo (2407)
Llama 3.1 405B Instruct (2024) and Mistral NeMo (2407) (2024) are compact production models from AI at Meta and MistralAI. Llama 3.1 405B Instruct ships a 128K-token context window, while Mistral NeMo (2407) ships a 128K-token context window. On pricing, Mistral NeMo (2407) costs $0.02/1M input tokens versus $2.4/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral NeMo (2407) is ~11900% cheaper at $0.02/1M; pay for Llama 3.1 405B Instruct only for provider fit.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2024-07-18 |
| Context window | 128K | 128K |
| Parameters | 405B | 12B |
| Architecture | decoder only | decoder only |
| License | Open Source | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 3.1 405B Instruct | Mistral NeMo (2407) |
|---|---|---|
| Input price | $2.4/1M tokens | $0.02/1M tokens |
| Output price | $2.4/1M tokens | $0.03/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.1 405B Instruct | Mistral NeMo (2407) |
|---|---|---|
| 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: Llama 3.1 405B 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.
For cost, Llama 3.1 405B Instruct lists $2.4/1M input and $2.4/1M output tokens, while Mistral NeMo (2407) lists $0.02/1M input and $0.03/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral NeMo (2407) lower by about $2.38 per million blended tokens. Availability is 11 providers versus 5, so concentration risk also matters.
Choose Llama 3.1 405B Instruct when provider fit and broader provider choice are central to the workload. Choose Mistral NeMo (2407) when provider fit and lower input-token cost 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, Llama 3.1 405B Instruct or Mistral NeMo (2407)?
Llama 3.1 405B Instruct supports 128K tokens, while Mistral NeMo (2407) supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Llama 3.1 405B Instruct or Mistral NeMo (2407)?
Mistral NeMo (2407) is cheaper on tracked token pricing. Llama 3.1 405B Instruct costs $2.4/1M input and $2.4/1M output tokens. Mistral NeMo (2407) costs $0.02/1M input and $0.03/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 3.1 405B Instruct or Mistral NeMo (2407) open source?
Llama 3.1 405B Instruct is listed under Open Source. Mistral NeMo (2407) 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 structured outputs, Llama 3.1 405B Instruct or Mistral NeMo (2407)?
Llama 3.1 405B 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 Instruct and Mistral NeMo (2407)?
Llama 3.1 405B Instruct is available on OctoAI API (Deprecated), Together AI, Fireworks AI, IBM watsonx, and Scale AI GenAI Platform. Mistral NeMo (2407) is available on Mistral AI Studio, OpenRouter, Fireworks AI, Bitdeer AI, and SiliconFlow. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 3.1 405B Instruct over Mistral NeMo (2407)?
Mistral NeMo (2407) is ~11900% cheaper at $0.02/1M; pay for Llama 3.1 405B Instruct only for provider fit. If your workload also depends on provider fit, start with Llama 3.1 405B Instruct; if it depends on provider fit, run the same evaluation with Mistral NeMo (2407).
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.