Llama 4 Scout 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 4 Scout
Mistral Small 4
Cost Differences
Mistral Small 4 costs more than Llama 4 Scout
Feature Comparison
| Feature | Llama 4 Scout | Mistral Small 4 |
|---|---|---|
| Provider | Meta (via Together AI) | Mistral AI |
| Input Price | $0.08/1M tokens | $0.15/1M tokens |
| Output Price | $0.30/1M tokens | $0.60/1M tokens |
| Context Window | 10,000,000 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 16,384 tokens |
| Category | efficient | efficient |
| Capabilities | textvisioncode | textvisioncodereasoning |
| Release Date | 4/5/2025 | 3/18/2026 |
Llama 4 Scout vs Mistral Small 4: Which Should You Choose?
Choosing between Llama 4 Scout and Mistral Small 4 depends on your priorities: cost efficiency, context length, or raw capability. Llama 4 Scout is the more affordable option at $0.08/1M input tokens — 47% cheaper than Mistral Small 4. Meanwhile, Llama 4 Scout offers a significantly larger context window at 10,000,000 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.
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 4 Scout would save you roughly $66.00/month compared to Mistral Small 4. For startups and indie developers, that difference can be significant.
Output costs matter too. Llama 4 Scout charges $0.30/1M output tokens vs $0.60 for Mistral Small 4. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 4 Scout has the edge here at $0.30/1M output tokens.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose Llama 4 Scout when:
- • Budget is a primary concern
- • You need a larger context window (10,000,000 tokens)
- • 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 4 when:
- • You need more capabilities (reasoning)
- • 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 4 Scout (Meta (via Together AI))
Mistral Small 4 (Mistral AI)
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