Llama 3.1 405B vs Mixtral 8x22B Instruct v0.3
Llama 3.1 405B (2024) and Mixtral 8x22B 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 Mixtral 8x22B Instruct v0.3 ships a 64K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Llama 3.1 405B is safer overall; choose Mixtral 8x22B Instruct v0.3 when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama 3.1 405B | Mixtral 8x22B Instruct v0.3 |
|---|---|---|
| Decision fit | Coding, Long context, and Classification | Agents and JSON / Tool use |
| Context window | 128K | 64K |
| Cheapest output | - | $2/1M tokens |
| Provider routes | 0 tracked | 1 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.
- Mixtral 8x22B Instruct v0.3 has broader tracked provider coverage for fallback and procurement flexibility.
- Mixtral 8x22B Instruct v0.3 uniquely exposes Function calling in local model data.
- Local decision data tags Mixtral 8x22B Instruct v0.3 for Agents and JSON / Tool use.
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
Mixtral 8x22B Instruct v0.3
$2,100
Cheapest tracked route: Replicate API
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 Mixtral 8x22B Instruct v0.3; plan for SDK, billing, or endpoint changes.
- Mixtral 8x22B Instruct v0.3 adds Function calling in local capability data.
- No overlapping tracked provider route is sourced for Mixtral 8x22B 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 | 2024-07-01 |
| Context window | 128K | 64K |
| Parameters | 405B | 8x22B |
| Architecture | decoder only | mixture of experts |
| License | Open Source | Apache 2.0 |
| Knowledge cutoff | 2023-12 | 2024-01 |
Pricing and availability
| Pricing attribute | Llama 3.1 405B | Mixtral 8x22B Instruct v0.3 |
|---|---|---|
| Input price | - | $2/1M tokens |
| Output price | - | $2/1M tokens |
| Providers | - |
Capabilities
| Capability | Llama 3.1 405B | Mixtral 8x22B 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
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Mixtral 8x22B 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 Mixtral 8x22B Instruct v0.3 has $2/1M input tokens. Provider availability is 0 tracked routes versus 1. 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 Mixtral 8x22B 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. 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 Mixtral 8x22B Instruct v0.3?
Llama 3.1 405B supports 128K tokens, while Mixtral 8x22B Instruct v0.3 supports 64K 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 Mixtral 8x22B Instruct v0.3 open source?
Llama 3.1 405B is listed under Open Source. Mixtral 8x22B 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 Mixtral 8x22B Instruct v0.3?
Mixtral 8x22B 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 Mixtral 8x22B Instruct v0.3?
Llama 3.1 405B is available on the tracked providers still being sourced. Mixtral 8x22B Instruct v0.3 is available on Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 3.1 405B over Mixtral 8x22B Instruct v0.3?
Llama 3.1 405B is safer overall; choose Mixtral 8x22B Instruct v0.3 when provider fit matters. 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 Mixtral 8x22B Instruct v0.3.
Continue comparing
Last reviewed: 2026-04-15. Data sourced from public model cards and provider documentation.