Llama 4 Scout vs Mistral Large 3
Compare Meta (via Together AI) and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Llama 4 Scout
Mistral Large 3
Cost Differences
Mistral Large 3 costs more than Llama 4 Scout
Feature Comparison
| Feature | Llama 4 Scout | Mistral Large 3 |
|---|---|---|
| Provider | Meta (via Together AI) | Mistral AI |
| Input Price | $0.08/1M tokens | $0.50/1M tokens |
| Output Price | $0.30/1M tokens | $1.50/1M tokens |
| Context Window | 10,000,000 tokens | 256,000 tokens |
| Max Output | 32,768 tokens | 32,768 tokens |
| Category | efficient | flagship |
| Capabilities | textvisioncode | textcodereasoning |
| Release Date | 4/5/2025 | 12/2/2025 |
Llama 4 Scout vs Mistral Large 3: Which Should You Choose?
Choosing between Llama 4 Scout and Mistral Large 3 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 — 84% cheaper than Mistral Large 3. Meanwhile, Llama 4 Scout offers a significantly larger context window at 10,000,000 tokens vs 256,000 for Mistral Large 3.
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 4 Scout is a efficient model while Mistral Large 3 is flagship. This means they're optimized for different workloads. Mistral Large 3 targets more demanding workloads, while Llama 4 Scout provides a cost-effective option for everyday tasks.
Output costs matter too. Llama 4 Scout charges $0.30/1M 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 4 Scout has the edge here at $0.30/1M output tokens.
Multimodal capabilities: Llama 4 Scout supports vision (image inputs) while Mistral Large 3 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Llama 4 Scout when:
- • Budget is a primary concern
- • You need a larger context window (10,000,000 tokens)
- • You're already using Meta (via Together AI)'s API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Mistral Large 3 when:
- • 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 4 Scout (Meta (via Together AI))
Mistral Large 3 (Mistral AI)
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