Llama 3.1 405B Instruct vs Mistral 7B v0.3
Llama 3.1 405B Instruct (2024) and Mistral 7B v0.3 (2024) are compact production models from AI at Meta and MistralAI. Llama 3.1 405B Instruct ships a 128k-token context window, while Mistral 7B v0.3 ships a 32k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 3.1 405B Instruct fits 4x more tokens; pick it for long-context work and Mistral 7B v0.3 for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.1 405B Instruct | Mistral 7B v0.3 |
|---|---|---|
| Best for | provider-routed production | tool-calling agents |
| Decision fit | RAG, Long context, and Classification | Agents and JSON / Tool use |
| Context window | 128k | 32k |
| Cheapest output | $2.40/1M tokens | - |
| Provider routes | 11 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 3.1 405B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 3.1 405B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 3.1 405B Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 3.1 405B Instruct for RAG, Long context, and Classification.
- Mistral 7B v0.3 uniquely exposes Function calling in local model data.
- Local decision data tags Mistral 7B v0.3 for Agents and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3.1 405B Instruct
$2,520
Cheapest tracked route/tier: AWS Bedrock
Mistral 7B v0.3
Unavailable
No complete token price in local provider data
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 Instruct and Mistral 7B v0.3; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- Mistral 7B v0.3 adds Function calling in local capability data.
- No overlapping tracked provider route is sourced for Mistral 7B v0.3 and Llama 3.1 405B Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling before moving production traffic.
- Llama 3.1 405B Instruct adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2024-05-23 |
| Context window | 128k | 32k |
| Parameters | 405B | 7B |
| Architecture | decoder only | decoder only |
| License | Llama 3 Community | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2023-12 | 2023-12 |
Pricing and availability
| Pricing attribute | Llama 3.1 405B Instruct | Mistral 7B v0.3 |
|---|---|---|
| Input price | $2.40/1M tokens | - |
| Output price | $2.40/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Llama 3.1 405B Instruct | Mistral 7B v0.3 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | No |
| Structured outputs | Yes | No |
| 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 function calling: Mistral 7B v0.3 and 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.
Pricing coverage is uneven: Llama 3.1 405B Instruct has $2.40/1M input tokens and Mistral 7B v0.3 has no token price sourced yet. Provider availability is 11 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Llama 3.1 405B Instruct when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Mistral 7B v0.3 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, Llama 3.1 405B Instruct or Mistral 7B v0.3?
Llama 3.1 405B Instruct supports 128k tokens, while Mistral 7B v0.3 supports 32k 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 Instruct or Mistral 7B v0.3 open source?
Llama 3.1 405B Instruct is listed under Llama 3 Community. Mistral 7B v0.3 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 function calling, Llama 3.1 405B Instruct or Mistral 7B v0.3?
Mistral 7B v0.3 has the clearer documented function calling signal in this comparison. If function calling 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 Instruct or Mistral 7B v0.3?
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 7B v0.3?
Llama 3.1 405B Instruct is available on OctoAI API (Deprecated), Together AI, Fireworks AI, IBM watsonx, and Scale AI GenAI Platform. Mistral 7B v0.3 is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 3.1 405B Instruct over Mistral 7B v0.3?
Llama 3.1 405B Instruct fits 4x more tokens; pick it for long-context work and Mistral 7B v0.3 for tighter calls. If your workload also depends on long-context analysis, start with Llama 3.1 405B Instruct; if it depends on provider fit, run the same evaluation with Mistral 7B v0.3.
Continue comparing
Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.