Devstral 2 vs Llama 3.1 405B
Compare Mistral AI and Meta (via Together AI) AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Devstral 2
Llama 3.1 405B
Cost Differences
Llama 3.1 405B costs more than Devstral 2
Feature Comparison
| Feature | Devstral 2 | Llama 3.1 405B |
|---|---|---|
| Provider | Mistral AI | Meta (via Together AI) |
| Input Price | $0.40/1M tokens | $3.50/1M tokens |
| Output Price | $2.00/1M tokens | $3.50/1M tokens |
| Context Window | 262,144 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 32,768 tokens |
| Category | efficient | flagship |
| Capabilities | textcode | textcodereasoning |
| Release Date | 12/9/2025 | 7/23/2024 |
Devstral 2 vs Llama 3.1 405B: Which Should You Choose?
Choosing between Devstral 2 and Llama 3.1 405B depends on your priorities: cost efficiency, context length, or raw capability. Devstral 2 is the more affordable option at $0.40/1M input tokens — 89% cheaper than Llama 3.1 405B. Meanwhile, Devstral 2 offers a significantly larger context window at 262,144 tokens vs 128,000 for Llama 3.1 405B.
These models come from different providers — Mistral AI and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Mistral AI, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Devstral 2 is a efficient model while Llama 3.1 405B is flagship. This means they're optimized for different workloads. Llama 3.1 405B targets more demanding workloads, while Devstral 2 provides a cost-effective option for everyday tasks.
Output costs matter too. Devstral 2 charges $2.00/1M output tokens vs $3.50 for Llama 3.1 405B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Devstral 2 has the edge here at $2.00/1M output tokens.
Best Use Cases
Choose Devstral 2 when:
- • Budget is a primary concern
- • You need a larger context window (262,144 tokens)
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Llama 3.1 405B when:
- • You need more capabilities (reasoning)
- • You're already using Meta (via Together AI)'s API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Devstral 2 (Mistral AI)
Llama 3.1 405B (Meta (via Together AI))
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