Llama 3.1 405B vs Mistral 7B Instruct v0.3
Llama 3.1 405B (2024) and Mistral 7B Instruct 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 Instruct v0.3 ships a 32K-token context window. On Google-Proof Q&A, Mistral 7B Instruct v0.3 leads by a hair. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 3.1 405B fits 4x more tokens; pick it for long-context work and Mistral 7B Instruct v0.3 for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.1 405B | Mistral 7B Instruct v0.3 |
|---|---|---|
| Decision fit | Coding, Long context, and Classification | Coding, Agents, and Classification |
| Context window | 128K | 32K |
| Cheapest output | - | $0.2/1M tokens |
| Provider routes | 0 tracked | 2 tracked |
| Shared benchmarks | 4 rows | Google-Proof Q&A leader |
Decision tradeoffs
- Llama 3.1 405B leads the largest shared benchmark signal on HumanEval by 10.6 points.
- 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 Instruct v0.3 leads the largest shared benchmark signal on Google-Proof Q&A by 0.8 points.
- Mistral 7B Instruct v0.3 has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral 7B Instruct v0.3 uniquely exposes Function calling in local model data.
- Local decision data tags Mistral 7B Instruct v0.3 for Coding, Agents, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Llama 3.1 405B
Unavailable
No complete token price in local provider data
Mistral 7B Instruct v0.3
$210
Cheapest tracked route: Fireworks 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 7B Instruct v0.3; plan for SDK, billing, or endpoint changes.
- Mistral 7B Instruct v0.3 adds Function calling in local capability data.
- No overlapping tracked provider route is sourced for Mistral 7B Instruct 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 | Open Source | Apache 2.0 |
| Knowledge cutoff | - | 2023-12 |
Pricing and availability
| Pricing attribute | Llama 3.1 405B | Mistral 7B Instruct v0.3 |
|---|---|---|
| Input price | - | $0.2/1M tokens |
| Output price | - | $0.2/1M tokens |
| Providers | - |
Capabilities
| Capability | Llama 3.1 405B | Mistral 7B Instruct 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 |
Benchmarks
| Benchmark | Llama 3.1 405B | Mistral 7B Instruct v0.3 |
|---|---|---|
| Google-Proof Q&A | 51.5 | 52.3 |
| HumanEval | 89.0 | 78.4 |
| Massive Multitask Language Understanding | 88.6 | 78.9 |
| HellaSwag | 95.8 | 90.2 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has Llama 3.1 405B at 51.5 and Mistral 7B Instruct v0.3 at 52.3, with Mistral 7B Instruct v0.3 ahead by 0.8 points; HumanEval has Llama 3.1 405B at 89 and Mistral 7B Instruct v0.3 at 78.4, with Llama 3.1 405B ahead by 10.6 points; Massive Multitask Language Understanding has Llama 3.1 405B at 88.6 and Mistral 7B Instruct v0.3 at 78.9, with Llama 3.1 405B ahead by 9.7 points. The largest visible gap is 10.6 points on HumanEval, 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 function calling: Mistral 7B Instruct 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 Instruct v0.3 has $0.2/1M input tokens. Provider availability is 0 tracked routes versus 2. 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 Instruct v0.3 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 7B Instruct v0.3?
Llama 3.1 405B supports 128K tokens, while Mistral 7B Instruct 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 Instruct v0.3 open source?
Llama 3.1 405B is listed under Open Source. Mistral 7B Instruct 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 Instruct v0.3?
Mistral 7B Instruct 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.
Where can I run Llama 3.1 405B and Mistral 7B Instruct v0.3?
Llama 3.1 405B is available on the tracked providers still being sourced. Mistral 7B Instruct v0.3 is available on Fireworks AI and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 3.1 405B over Mistral 7B Instruct v0.3?
Llama 3.1 405B fits 4x more tokens; pick it for long-context work and Mistral 7B Instruct 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 Instruct v0.3.
Continue comparing
Last reviewed: 2026-05-05. Data sourced from public model cards and provider documentation.