AI December 2025 • 10 min read
LLM Benchmark Results 2025
Comprehensive comparison of Claude 3.5 Sonnet, GPT-4o, Gemini 1.5 Pro, Llama 3.1, and Mistral Large. We tested quality, coding ability, speed, and cost to help you choose the right model.
By WorkChi Research Team • Updated monthly
TL;DR - Quick Recommendations
🏆
Best Overall
Claude 3.5 Sonnet
💰
Best Value
Mistral Large
🔓
Best Open Source
Llama 3.1 405B
Model Comparison
| Model | Quality | Coding | Speed | Reasoning | Cost (in/out) |
|---|---|---|---|---|---|
| Claude 3.5 Sonnet Anthropic | 95 | 96 | 88 | 94 | $3.00 / $15.00 |
| GPT-4o OpenAI | 92 | 90 | 85 | 91 | $5.00 / $15.00 |
| Gemini 1.5 Pro Google | 89 | 85 | 90 | 88 | $3.50 / $10.50 |
| Llama 3.1 405B Meta | 88 | 86 | 75 | 87 | Self-host |
| Mistral Large Mistral AI | 86 | 84 | 92 | 85 | $2.00 / $6.00 |
Scores out of 100. Cost per 1M tokens (input/output).
Which Model Should You Use?
Customer Support
Claude 3.5 Sonnet
Best at understanding context and providing helpful, safe responses
Code Generation
Claude 3.5 Sonnet
Highest coding benchmark scores, excellent at debugging
Content Writing
GPT-4o
Natural writing style, good at matching brand voice
Data Analysis
Claude 3.5 Sonnet
Strong reasoning, handles complex analytical tasks
Budget-Conscious
Mistral Large
Best price-to-performance ratio for most tasks
Long Documents
Gemini 1.5 Pro
1M token context window, best for large documents
Benchmark Scores
MMLU (Knowledge)
Claude 3.5
89.3%
GPT-4o
88.7%
Gemini 1.5
85.9%
Llama 3.1
85.5%
Mistral Large
81.2%
HumanEval (Coding)
Claude 3.5
92%
GPT-4o
90.2%
Gemini 1.5
84.1%
Llama 3.1
84%
Mistral Large
81.1%
MATH (Reasoning)
Claude 3.5
71.1%
GPT-4o
68.4%
Gemini 1.5
67.7%
Llama 3.1
66.2%
Mistral Large
58.3%
GSM8K (Math)
Claude 3.5
96.4%
GPT-4o
95.3%
Gemini 1.5
94.4%
Llama 3.1
93.1%
Mistral Large
91.2%
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