Llama 3.3 70B 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 15 benchmarks against Llama 3.3 70B by Meta, which leads on 4. 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 3.3 70B's 1210, while Mistral Large 25.12 scores 73.0% on MMLU-Pro compared to Llama 3.3 70B's 60.0%.
Coding: In coding, Mistral Large 25.12 scores 82.0% on HumanEval+ compared to Llama 3.3 70B's 72.0%, while Mistral Large 25.12 scores 42.0% on SWE-bench Verified compared to Llama 3.3 70B's 22.0%, while Mistral Large 25.12 scores 44.0% on LiveCodeBench compared to Llama 3.3 70B's 26.0%, while Mistral Large 25.12 scores 20.1 on AA Coding Index compared to Llama 3.3 70B's 11.9.
Math: In math, Mistral Large 25.12 scores 78.0% on MATH compared to Llama 3.3 70B's 60.0%, while Mistral Large 25.12 scores 91.0% on GSM8K compared to Llama 3.3 70B's 82.0%.
Reasoning: In reasoning, Mistral Large 25.12 scores 52.0% on GPQA Diamond compared to Llama 3.3 70B's 34.0%, while Mistral Large 25.12 scores 28.0% on ARC-AGI compared to Llama 3.3 70B's 10.0%.
Context: In context, Mistral Large 25.12 scores 262K on Context Length compared to Llama 3.3 70B's 131K.
Pricing Comparison
Llama 3.3 70B costs $0.10/1M input tokens and $0.32/1M output tokens, while Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output. Llama 3.3 70B is the more affordable option for API usage.
Speed Comparison
Llama 3.3 70B generates output at 90 tok/s compared to Mistral Large 25.12's 70 tok/s, and the time to first token is 300 ms for Llama 3.3 70B versus 380 ms for Mistral Large 25.12. Llama 3.3 70B delivers faster throughput.
Verdict
For developers prioritizing affordability and speed, Llama 3.3 70B has the edge. For those who value coding and general intelligence and math, Mistral Large 25.12 is the stronger choice.
View Individual Model Pages
Llama 3.3 70B vs Mistral Large 25.12 — FAQ
Which is better, Llama 3.3 70B or Mistral Large 25.12?
Mistral Large 25.12 wins on more benchmarks overall (11 vs 4). However, the best choice depends on your specific needs — each model excels in different areas.
How does Llama 3.3 70B 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 22.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is Llama 3.3 70B cheaper than Mistral Large 25.12?
Yes, Llama 3.3 70B is cheaper. Llama 3.3 70B costs $0.10/1M input and $0.32/1M output tokens. Mistral Large 25.12 costs $0.50/1M input and $1.5/1M output tokens.
Which is faster, Llama 3.3 70B or Mistral Large 25.12?
Llama 3.3 70B is faster, generating output at 90 tok/s compared to 70 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Llama 3.3 70B vs Mistral Large 25.12 comparison cover?
This comparison covers 15 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.