Llama 3.3 70B vs Mistral Small 4
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 Small 4
Cost Differences
Mistral Small 4 costs less than Llama 3.3 70B
Feature Comparison
| Feature | Llama 3.3 70B | Mistral Small 4 |
|---|---|---|
| Provider | Meta (via Together AI) | Mistral AI |
| Input Price | $0.88/1M tokens | $0.15/1M tokens |
| Output Price | $0.88/1M tokens | $0.60/1M tokens |
| Context Window | 131,072 tokens | 128,000 tokens |
| Max Output | 4,096 tokens | 16,384 tokens |
| Category | standard | efficient |
| Capabilities | textcode | textvisioncodereasoning |
| Release Date | 12/6/2024 | 3/18/2026 |
Llama 3.3 70B vs Mistral Small 4: Which Should You Choose?
Choosing between Llama 3.3 70B and Mistral Small 4 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Small 4 is the more affordable option at $0.15/1M input tokens — 83% 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 Mistral Small 4.
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 Small 4 is efficient. This means they're optimized for different workloads. Mistral Small 4 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 $0.60 for Mistral Small 4. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Small 4 has the edge here at $0.60/1M output tokens.
Multimodal capabilities: Mistral Small 4 supports vision (image inputs) while Llama 3.3 70B is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
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
Choose Mistral Small 4 when:
- • Budget is a primary concern
- • You need more capabilities (vision, reasoning)
- • You need longer outputs (up to 16,384 tokens)
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
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 Small 4 (Mistral AI)
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