Llama 3.1 405B Instruct vs Mistral NeMo (2407)
Llama 3.1 405B Instruct (2024) and Mistral NeMo (2407) (2024) are compact production models from AI at Meta and MistralAI. Llama 3.1 405B Instruct ships a 128k-token context window, while Mistral NeMo (2407) ships a 128k-token context window. On pricing, Mistral NeMo (2407) costs $0.02/1M input tokens versus $2.40/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral NeMo (2407) is ~11900% cheaper at $0.02/1M; pay for Llama 3.1 405B Instruct only for provider fit.
Decision scorecard
Local evidence first| Signal | Llama 3.1 405B Instruct | Mistral NeMo (2407) |
|---|---|---|
| Best for | provider-routed production | provider-routed production |
| Decision fit | RAG, Long context, and Classification | Long context |
| Context window | 128k | 128k |
| Cheapest output | $2.40/1M tokens | $0.03/1M tokens |
| Provider routes | 11 tracked | 7 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 3.1 405B Instruct has broader tracked provider coverage for fallback and route 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 NeMo (2407) has the lower cheapest tracked output price at $0.03/1M tokens.
- Local decision data tags Mistral NeMo (2407) for Long context.
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 NeMo (2407)
$23.50
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $2,497. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- Mistral NeMo (2407) is $2.37/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs before moving production traffic.
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- Llama 3.1 405B Instruct is $2.37/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Llama 3.1 405B Instruct adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2024-07-18 |
| Context window | 128k | 128k |
| Parameters | 405B | 12B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Weights | Available | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2023-12 | 2024-04 |
Pricing and availability
| Pricing attribute | Llama 3.1 405B Instruct | Mistral NeMo (2407) |
|---|---|---|
| Input price | $2.40/1M tokens | $0.02/1M tokens |
| Output price | $2.40/1M tokens | $0.03/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.1 405B Instruct | Mistral NeMo (2407) |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / 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 scores are currently available for this pair.
Continue comparing
- Llama 3.1 405B Instruct vs Mistral NeMo Instruct (2407)
- Llama 3.1 405B Instruct vs Qwen2.5-72B
- Together AI - Llama 3 8B Lite vs Llama 3.1 405B Instruct
- DeepSeek V3.1 vs Llama 3.1 405B Instruct
- DeepSeek V3 vs Llama 3.1 405B Instruct
- Llama 3.1 405B Instruct vs Qwen3.6-27B
- Grok-3 vs Llama 3.1 405B Instruct
- GPT-5 vs Llama 3.1 405B Instruct
Popular comparisons for Llama 3.1 405B Instruct
Popular comparisons for Mistral NeMo (2407)
Last reviewed: 2026-07-11. Data sourced from public model cards and provider documentation.