Llama 4 Scout vs Mistral Large 2407
| Signal | Llama 4 Scout | Delta | Mistral Large 2407 |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 59 | +59 | |
Pricing | 100 | +6 | |
Context window size | 97 | +16 | |
Recency | 27 | +25 | |
Output Capacity | 67 | -13 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
60.2
current score
Mistral Large 2407
right now
65.9
current score
Llama 4 Scout
Meta
Mistral Large 2407
Mistral AI
Llama 4 Scout saves you $475.00/month
That's $5700.00/year compared to Mistral Large 2407 at your current usage level of 100K calls/month.
| Metric | Llama 4 Scout | Mistral Large 2407 | Winner |
|---|---|---|---|
| Overall Score | 60 | 66 | Mistral Large 2407 |
| Rank | #159 | #145 | Mistral Large 2407 |
| Quality Rank | #159 | #145 | Mistral Large 2407 |
| Adoption Rank | #159 | #145 | Mistral Large 2407 |
| Parameters | -- | -- | -- |
| Context Window | 1311K | 131K | Llama 4 Scout |
| Pricing | $0.10/$0.30/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | Llama 4 Scout |
| Benchmarks | 59 | -- | Llama 4 Scout |
| Pricing | 100 | 94 | Llama 4 Scout |
| Context window size | 97 | 81 | Llama 4 Scout |
| Recency | 27 | 2 | Llama 4 Scout |
| Output Capacity | 67 | 80 | Mistral Large 2407 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 60/100 (rank #159), placing it in the top 46% of all 290 models tracked.
Scores 66/100 (rank #145), placing it in the top 50% of all 290 models tracked.
Mistral Large 2407 has a 6-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Choose Llama 4 Scout when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (1311K token context)
- Multimodal workflows that require image understanding
- Self-hosted deployments where you need full control over the model
Choose Mistral Large 2407 when you need:
- Budget-friendly applications with moderate quality requirements
Llama 4 Scout offers 95% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Llama 4 Scout vs $120.00/month with Mistral Large 2407 - a $114.00 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Llama 4 Scout also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1311K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (66/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Mistral Large 2407 has a moderate advantage with a 5.700000000000003-point lead in composite score. It wins on more signal dimensions, but Llama 4 Scout has specific strengths that could make it the better choice for certain workflows.
By Use Case
Best for Quality
Llama 4 Scout
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Scout
95% lower pricing; better value at scale
Best for Reliability
Llama 4 Scout
Higher uptime and faster response speeds
Best for Prototyping
Llama 4 Scout
Stronger community support and better developer experience
Best for Production
Llama 4 Scout
Wider enterprise adoption and proven at scale
by Meta
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 95% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Llama 4 Scout | Mistral Large 2407 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Llama 4 Scout
Meta
Mistral Large 2407
Mistral AI
Llama 4 Scout saves you $10.26/month
That's 95% cheaper than Mistral Large 2407 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Llama 4 Scout | Mistral Large 2407 |
|---|---|---|
| Context Window | 1.3M | 131K |
| Max Output Tokens | 16,384 | 104,857 |
| Open Source | Yes | No |
| Created | Apr 5, 2025 | Nov 19, 2024 |