Llama 3.1 405B Instruct vs Mistral 7B Instruct v0.3
Llama 3.1 405B Instruct (2024) and Mistral 7B Instruct 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 Instruct v0.3 ships a 32k-token context window. On Massive Multitask Language Understanding, Llama 3.1 405B Instruct leads by 9.7 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral 7B Instruct v0.3 is ~1100% cheaper at $0.20/1M; pay for Llama 3.1 405B Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Llama 3.1 405B Instruct | Mistral 7B Instruct v0.3 |
|---|---|---|
| Best for | provider-routed production | tool-calling agents and provider-routed production |
| Decision fit | RAG, Long context, and Classification | Coding, Agents, and Classification |
| Context window | 128k | 32k |
| Cheapest output | $2.40/1M tokens | $0.20/1M tokens |
| Provider routes | 11 tracked | 2 tracked |
| Shared benchmarks | Massive Multitask Language Understanding leader | 1 rows |
Decision tradeoffs
- Llama 3.1 405B Instruct holds a shared-benchmark lead on Massive Multitask Language Understanding, ahead by 9.7 points.
- 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 Instruct v0.3 has the lower cheapest tracked output price at $0.20/1M tokens.
- 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 route or tier on this page.
Llama 3.1 405B Instruct
$2,520
Cheapest tracked route/tier: AWS Bedrock
Mistral 7B Instruct v0.3
$210
Cheapest tracked route/tier: Fireworks AI
Estimated monthly gap: $2,310. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Fireworks AI and NVIDIA NIM; start route-level A/B tests there.
- Mistral 7B Instruct v0.3 is $2.20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs before moving production traffic.
- Mistral 7B Instruct v0.3 adds Function calling in local capability data.
- Provider overlap exists on Fireworks AI and NVIDIA NIM; start route-level A/B tests there.
- Llama 3.1 405B Instruct is $2.20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- 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 Instruct v0.3 |
|---|---|---|
| Input price | $2.40/1M tokens | $0.20/1M tokens |
| Output price | $2.40/1M tokens | $0.20/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.1 405B Instruct | Mistral 7B Instruct 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
| Benchmark | Llama 3.1 405B Instruct | Mistral 7B Instruct v0.3 |
|---|---|---|
| Massive Multitask Language Understanding | 88.6 | 78.9 |
Deep dive
On shared benchmark coverage, Massive Multitask Language Understanding has Llama 3.1 405B Instruct at 88.6 and Mistral 7B Instruct v0.3 at 78.9, with Llama 3.1 405B Instruct ahead by 9.7 points. The largest visible gap is 9.7 points on Massive Multitask Language Understanding, 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 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.
For cost, Llama 3.1 405B Instruct lists $2.40/1M input and $2.40/1M output tokens on the cheapest tracked provider, while Mistral 7B Instruct v0.3 lists $0.20/1M input and $0.20/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral 7B Instruct v0.3 lower by about $2.20 per million blended tokens. Availability is 11 providers versus 2, so concentration risk also matters.
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 Instruct v0.3 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.
FAQ
Which has a larger context window, Llama 3.1 405B Instruct or Mistral 7B Instruct v0.3?
Llama 3.1 405B Instruct 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.
Which is cheaper, Llama 3.1 405B Instruct or Mistral 7B Instruct v0.3?
Mistral 7B Instruct v0.3 is cheaper on tracked token pricing. Llama 3.1 405B Instruct costs $2.40/1M input and $2.40/1M output tokens. Mistral 7B Instruct v0.3 costs $0.20/1M input and $0.20/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 3.1 405B Instruct or Mistral 7B Instruct v0.3 open source?
Llama 3.1 405B Instruct is listed under Llama 3 Community. 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 Instruct 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.
Which is better for structured outputs, Llama 3.1 405B Instruct or Mistral 7B Instruct 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 Instruct 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 Instruct v0.3 is available on Fireworks AI and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.