Devstral 2 vs Llama 3.1 8B
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 8B
Cost Differences
Llama 3.1 8B costs less than Devstral 2
Feature Comparison
| Feature | Devstral 2 | Llama 3.1 8B |
|---|---|---|
| Provider | Mistral AI | Meta (via Together AI) |
| Input Price | $0.40/1M tokens | $0.18/1M tokens |
| Output Price | $2.00/1M tokens | $0.18/1M tokens |
| Context Window | 262,144 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 32,768 tokens |
| Category | efficient | efficient |
| Capabilities | textcode | textcode |
| Release Date | 12/9/2025 | 7/23/2024 |
Devstral 2 vs Llama 3.1 8B: Which Should You Choose?
Choosing between Devstral 2 and Llama 3.1 8B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 8B is the more affordable option at $0.18/1M input tokens — 55% cheaper than Devstral 2. Meanwhile, Devstral 2 offers a significantly larger context window at 262,144 tokens vs 128,000 for Llama 3.1 8B.
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.
Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Llama 3.1 8B would save you roughly $339.00/month compared to Devstral 2. For startups and indie developers, that difference can be significant.
Output costs matter too. Devstral 2 charges $2.00/1M output tokens vs $0.18 for Llama 3.1 8B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 8B has the edge here at $0.18/1M output tokens.
Best Use Cases
Choose Devstral 2 when:
- • 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 8B when:
- • Budget is a primary concern
- • You're already using Meta (via Together AI)'s API ecosystem
- • You're running high-volume, latency-sensitive workloads
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Devstral 2 (Mistral AI)
Llama 3.1 8B (Meta (via Together AI))
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