Llama 3.1 8B vs Mistral Small 3.2
Llama 3.1 8B vs Mistral Small 3.2: Mistral Small 3.2 is cheaper for input-heavy usage ($0.10/M vs $0.18/M input tokens), while Llama 3.1 8B is better for long-context tasks (128,000 tokens).
Direct answer: choose Mistral Small 3.2 for lower token spend and choose Llama 3.1 8B when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Llama 3.1 8B
Mistral Small 3.2
Cost Differences
Mistral Small 3.2 costs less than Llama 3.1 8B
Quick Recommendation
Winner for direct API pricing: Mistral Small 3.2. At the default workload, Mistral Small 3.2 saves about $0.06/month ($0.73/year) versus Llama 3.1 8B.
Feature Comparison
| Feature | Llama 3.1 8B | Mistral Small 3.2 |
|---|---|---|
| Provider | Meta (via Together AI) | Mistral AI |
| Input Price | $0.18/1M tokens | $0.10/1M tokens |
| Output Price | $0.18/1M tokens | $0.30/1M tokens |
| Context Window | 128,000 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 8,192 tokens |
| Category | efficient | efficient |
| Capabilities | textcode | textcode |
| Release Date | 7/23/2024 | 12/2/2025 |
Llama 3.1 8B vs Mistral Small 3.2: Which Should You Choose?
Choosing between Llama 3.1 8B and Mistral Small 3.2 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.
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.
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 $6.00/month compared to Mistral Small 3.2. For startups and indie developers, that difference can be significant.
Output costs matter too. Llama 3.1 8B charges $0.18/1M output tokens vs $0.30 for Mistral Small 3.2. 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:
- • 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 Small 3.2 when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Pros and Caveats at a Glance
Llama 3.1 8B
- • Input pricing: $0.18/M tokens
- • Output pricing: $0.18/M tokens
- • Context window: 128,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Mistral Small 3.2
Mistral Small 3.2
- • Input pricing: $0.10/M tokens
- • Output pricing: $0.30/M tokens
- • Context window: 128,000 tokens
- • Max output: 8,192 tokens
Watch out for
- • Higher output cost than Llama 3.1 8B
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 Small 3.2 (Mistral AI)
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Sign Up for Mistral AI →Frequently Asked Questions
Which is cheaper, Llama 3.1 8B or Mistral Small 3.2?▼
What is the context window difference between Llama 3.1 8B and Mistral Small 3.2?▼
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