Devstral 2 vs Llama 3.3 70B
Compare Mistral AI and Meta (via Together AI) AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Devstral 2
Llama 3.3 70B
Cost Differences
Llama 3.3 70B costs less than Devstral 2
Feature Comparison
| Feature | Devstral 2 | Llama 3.3 70B |
|---|---|---|
| Provider | Mistral AI | Meta (via Together AI) |
| Input Price | $0.40/1M tokens | $0.88/1M tokens |
| Output Price | $2.00/1M tokens | $0.88/1M tokens |
| Context Window | 262,144 tokens | 131,072 tokens |
| Max Output | 32,768 tokens | 4,096 tokens |
| Category | efficient | standard |
| Capabilities | textcode | textcode |
| Release Date | 12/9/2025 | 12/6/2024 |
Devstral 2 vs Llama 3.3 70B: Which Should You Choose?
Choosing between Devstral 2 and Llama 3.3 70B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.3 70B is the more affordable option at $0.88/1M input tokens. Meanwhile, Devstral 2 offers a significantly larger context window at 262,144 tokens vs 131,072 for Llama 3.3 70B.
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 3.3 70B is standard. This means they're optimized for different workloads. Llama 3.3 70B 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 $0.88 for Llama 3.3 70B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.3 70B has the edge here at $0.88/1M output tokens.
Best Use Cases
Choose Devstral 2 when:
- • Budget is a primary concern
- • You need a larger context window (262,144 tokens)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Llama 3.3 70B when:
- • 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 3.3 70B (Meta (via Together AI))
Start using Devstral 2 today
Sign Up for Mistral AI →Start using Llama 3.3 70B today
Sign Up for Meta (via Together AI) →