Llama 3.3 70B vs Mistral Medium 3.1
Compare Meta (via Together AI) and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Llama 3.3 70B
Mistral Medium 3.1
Cost Differences
Mistral Medium 3.1 costs more than Llama 3.3 70B
Feature Comparison
| Feature | Llama 3.3 70B | Mistral Medium 3.1 |
|---|---|---|
| Provider | Meta (via Together AI) | Mistral AI |
| Input Price | $0.88/1M tokens | $0.40/1M tokens |
| Output Price | $0.88/1M tokens | $2.00/1M tokens |
| Context Window | 131,072 tokens | 131,072 tokens |
| Max Output | 4,096 tokens | 16,384 tokens |
| Category | standard | balanced |
| Capabilities | textcode | textcodereasoning |
| Release Date | 12/6/2024 | 8/1/2025 |
Llama 3.3 70B vs Mistral Medium 3.1: Which Should You Choose?
Choosing between Llama 3.3 70B and Mistral Medium 3.1 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.
These models come from different providers — Meta (via Together AI) and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Meta (via Together AI), switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Llama 3.3 70B is a standard model while Mistral Medium 3.1 is balanced. This means they're optimized for different workloads. Mistral Medium 3.1 targets more demanding workloads, while Llama 3.3 70B provides a cost-effective option for everyday tasks.
Output costs matter too. Llama 3.3 70B charges $0.88/1M output tokens vs $2.00 for Mistral Medium 3.1. 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 Llama 3.3 70B when:
- • You're already using Meta (via Together AI)'s API ecosystem
Choose Mistral Medium 3.1 when:
- • Budget is a primary concern
- • You need more capabilities (reasoning)
- • You need longer outputs (up to 16,384 tokens)
- • You're already using Mistral AI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Llama 3.3 70B (Meta (via Together AI))
Mistral Medium 3.1 (Mistral AI)
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