Codestral 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)
Codestral
Llama 3.3 70B
Cost Differences
Llama 3.3 70B costs more than Codestral
Feature Comparison
| Feature | Codestral | Llama 3.3 70B |
|---|---|---|
| Provider | Mistral AI | Meta (via Together AI) |
| Input Price | $0.30/1M tokens | $0.88/1M tokens |
| Output Price | $0.90/1M tokens | $0.88/1M tokens |
| Context Window | 128,000 tokens | 131,072 tokens |
| Max Output | 32,768 tokens | 4,096 tokens |
| Category | balanced | standard |
| Capabilities | textcode | textcode |
| Release Date | 7/30/2025 | 12/6/2024 |
Codestral vs Llama 3.3 70B: Which Should You Choose?
Choosing between Codestral and Llama 3.3 70B depends on your priorities: cost efficiency, context length, or raw capability. Codestral is the more affordable option at $0.30/1M input tokens — 66% cheaper than Llama 3.3 70B. Meanwhile, Llama 3.3 70B offers a significantly larger context window at 131,072 tokens vs 128,000 for Codestral.
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: Codestral is a balanced 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 Codestral provides a cost-effective option for everyday tasks.
Output costs matter too. Codestral charges $0.90/1M 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. Codestral has the edge here at $0.90/1M output tokens.
Best Use Cases
Choose Codestral when:
- • Budget is a primary concern
- • You need longer outputs (up to 32,768 tokens)
- • You're already using Mistral AI's API ecosystem
Choose Llama 3.3 70B when:
- • You need a larger context window (131,072 tokens)
- • 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
Codestral (Mistral AI)
Llama 3.3 70B (Meta (via Together AI))
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