Llama 3.1 405B vs Mistral 7B v0.3
Llama 3.1 405B (2024) and Mistral 7B v0.3 (2024) are compact production models from AI at Meta and MistralAI. Llama 3.1 405B 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. It focuses on practical selection signals rather than broad model-family marketing.
Llama 3.1 405B 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 | Mistral 7B v0.3 |
|---|---|---|
| Best for | general production evaluation | tool-calling agents |
| Decision fit | Coding, Long context, and Classification | Agents and JSON / Tool use |
| Context window | 128k | 32k |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 3.1 405B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Llama 3.1 405B for Coding, 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
Unavailable
No complete token price in local provider data
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 and Mistral 7B v0.3; plan for SDK, billing, or endpoint changes.
- 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; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling before moving production traffic.
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 | Mistral 7B v0.3 |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3.1 405B | Mistral 7B v0.3 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | No |
| Structured outputs | No | 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. 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 7B v0.3 has no token price sourced yet. Provider availability is 0 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 when long-context analysis and larger context windows 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Llama 3.1 405B or Mistral 7B v0.3?
Llama 3.1 405B 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 or Mistral 7B v0.3 open source?
Llama 3.1 405B 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 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.
When should I pick Llama 3.1 405B over Mistral 7B v0.3?
Llama 3.1 405B 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; if it depends on provider fit, run the same evaluation with Mistral 7B v0.3.
Continue comparing
Last reviewed: 2026-05-05. Data sourced from public model cards and provider documentation.