Llama 3.3 70B vs Mistral Large 3
Llama 3.3 70B vs Mistral Large 3: Mistral Large 3 is cheaper for input-heavy usage ($0.50/M vs $0.88/M input tokens), while Mistral Large 3 is better for long-context tasks (256,000 tokens).
Direct answer: choose Mistral Large 3 for lower token spend and choose Mistral Large 3 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 3.3 70B
Mistral Large 3
Cost Differences
Mistral Large 3 costs less than Llama 3.3 70B
Quick Recommendation
Winner for direct API pricing: Mistral Large 3. At the default workload, Mistral Large 3 saves about $0.21/month ($2.555/year) versus Llama 3.3 70B.
Feature Comparison
| Feature | Llama 3.3 70B | Mistral Large 3 |
|---|---|---|
| Provider | Meta (via Together AI) | Mistral AI |
| Input Price | $0.88/1M tokens | $0.50/1M tokens |
| Output Price | $0.88/1M tokens | $1.50/1M tokens |
| Context Window | 131,072 tokens | 256,000 tokens |
| Max Output | 4,096 tokens | 32,768 tokens |
| Category | standard | flagship |
| Capabilities | textcode | textcodereasoning |
| Release Date | 12/6/2024 | 12/2/2025 |
Llama 3.3 70B vs Mistral Large 3: Which Should You Choose?
Choosing between Llama 3.3 70B and Mistral Large 3 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, Mistral Large 3 offers a significantly larger context window at 256,000 tokens vs 131,072 for Llama 3.3 70B.
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 Large 3 is flagship. This means they're optimized for different workloads. Mistral Large 3 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 $1.50 for Mistral Large 3. 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 Large 3 when:
- • Budget is a primary concern
- • You need a larger context window (256,000 tokens)
- • You need more capabilities (reasoning)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using Mistral AI's API ecosystem
Pros and Caveats at a Glance
Llama 3.3 70B
- • Input pricing: $0.88/M tokens
- • Output pricing: $0.88/M tokens
- • Context window: 131,072 tokens
- • Max output: 4,096 tokens
Watch out for
- • Higher input cost than Mistral Large 3
- • Smaller context window than Mistral Large 3
Mistral Large 3
- • Input pricing: $0.50/M tokens
- • Output pricing: $1.50/M tokens
- • Context window: 256,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher output cost than Llama 3.3 70B
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 Large 3 (Mistral AI)
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Sign Up for Mistral AI →Frequently Asked Questions
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What is the context window difference between Llama 3.3 70B and Mistral Large 3?▼
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