Llama 3.1 8B 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 3.1 8B
Mistral Medium 3.1
Cost Differences
Mistral Medium 3.1 costs more than Llama 3.1 8B
Feature Comparison
| Feature | Llama 3.1 8B | Mistral Medium 3.1 |
|---|---|---|
| Provider | Meta (via Together AI) | Mistral AI |
| Input Price | $0.18/1M tokens | $0.40/1M tokens |
| Output Price | $0.18/1M tokens | $2.00/1M tokens |
| Context Window | 128,000 tokens | 131,072 tokens |
| Max Output | 32,768 tokens | 16,384 tokens |
| Category | efficient | balanced |
| Capabilities | textcode | textcodereasoning |
| Release Date | 7/23/2024 | 8/1/2025 |
Llama 3.1 8B vs Mistral Medium 3.1: Which Should You Choose?
Choosing between Llama 3.1 8B and Mistral Medium 3.1 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 Mistral Medium 3.1. Meanwhile, Mistral Medium 3.1 offers a significantly larger context window at 131,072 tokens vs 128,000 for Llama 3.1 8B.
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 3.1 8B is a efficient 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 3.1 8B provides a cost-effective option for everyday tasks.
Output costs matter too. Llama 3.1 8B charges $0.18/1M 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 3.1 8B has the edge here at $0.18/1M output tokens.
Best Use Cases
Choose Llama 3.1 8B when:
- • Budget is a primary concern
- • You need longer outputs (up to 32,768 tokens)
- • You're already using Meta (via Together AI)'s API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Mistral Medium 3.1 when:
- • You need a larger context window (131,072 tokens)
- • You need more capabilities (reasoning)
- • 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 3.1 8B (Meta (via Together AI))
Mistral Medium 3.1 (Mistral AI)
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