Llama 4 Scout vs Mistral Large 25.12
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
Mistral Large 25.12 by Mistral wins on 11 of 17 benchmarks against Llama 4 Scout by Meta, which leads on 6. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from our benchmark data.
Category-by-Category Breakdown
General Intelligence: In general intelligence, Mistral Large 25.12 scores 1418 on Chatbot Arena ELO compared to Llama 4 Scout's 1240, while Llama 4 Scout scores 74.3% on MMLU-Pro compared to Mistral Large 25.12's 73.0%, while Mistral Large 25.12 scores 9.7 on AA Intelligence Index compared to Llama 4 Scout's 6.5.
Coding: In coding, Mistral Large 25.12 scores 82.0% on HumanEval+ compared to Llama 4 Scout's 75.0%, while Mistral Large 25.12 scores 42.0% on SWE-bench Verified compared to Llama 4 Scout's 28.0%, while Mistral Large 25.12 scores 44.0% on LiveCodeBench compared to Llama 4 Scout's 32.0%, while Mistral Large 25.12 scores 20.1 on AA Coding Index compared to Llama 4 Scout's 8.2.
Math: In math, Mistral Large 25.12 scores 78.0% on MATH compared to Llama 4 Scout's 68.0%, while Mistral Large 25.12 scores 91.0% on GSM8K compared to Llama 4 Scout's 86.0%.
Reasoning: In reasoning, Mistral Large 25.12 scores 52.0% on GPQA Diamond compared to Llama 4 Scout's 38.0%, while Mistral Large 25.12 scores 28.0% on ARC-AGI compared to Llama 4 Scout's 16.0%, while Mistral Large 25.12 scores 2.4 on AA Agentic Index compared to Llama 4 Scout's 0.5.
Context: In context, Llama 4 Scout scores 1.3M on Context Length compared to Mistral Large 25.12's 262K.
Pricing Comparison
Llama 4 Scout costs $0.10/1M input tokens and $0.30/1M output tokens, while Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output. Llama 4 Scout is the more affordable option for API usage.
Speed Comparison
Llama 4 Scout generates output at 140 tok/s compared to Mistral Large 25.12's 70 tok/s, and the time to first token is 330 ms for Llama 4 Scout versus 380 ms for Mistral Large 25.12. Llama 4 Scout delivers faster throughput.
Verdict
For developers prioritizing affordability and speed, Llama 4 Scout has the edge. For those who value coding and general intelligence and math, Mistral Large 25.12 is the stronger choice.
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Llama 4 Scout vs Mistral Large 25.12 — FAQ
Which is better, Llama 4 Scout or Mistral Large 25.12?
Mistral Large 25.12 wins on more benchmarks overall (11 vs 6). However, the best choice depends on your specific needs — each model excels in different areas.
How does Llama 4 Scout compare to Mistral Large 25.12 for coding?
Mistral Large 25.12 is better for coding, scoring 42.0% on SWE-bench Verified compared to 28.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is Llama 4 Scout cheaper than Mistral Large 25.12?
Yes, Llama 4 Scout is cheaper. Llama 4 Scout costs $0.10/1M input and $0.30/1M output tokens. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens.
Which is faster, Llama 4 Scout or Mistral Large 25.12?
Llama 4 Scout is faster, generating output at 140 tok/s compared to 70 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Llama 4 Scout vs Mistral Large 25.12 comparison cover?
This comparison covers 17 benchmarks including Chatbot Arena ELO, MMLU-Pro, HumanEval+, MATH, GPQA Diamond, SWE-bench Verified, Output Speed, LiveCodeBench, and more. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.