AI Benchmark Results 2026: Model Performance Rankings
Our Benchmark Methodology
We test on real engineering tasks:
- Bug fixes
- Feature implementation
- Code review
- Architecture decisions
- API integrations
Each task scored 0-10 on correctness, efficiency, and clarity.
Overall Results
| Model | Score | Change |
|---|---|---|
| Claude 4 | 9.4 | — |
| GPT-5 | 9.2 | — |
| Gemini 2.5 Pro | 8.9 | — |
| DeepSeek R1 | 8.5 | — |
| Claude 3.5 | 8.4 | — |
| Gemini 2.5 Flash | 8.3 | — |
| GPT-4o | 8.2 | — |
By Category
Coding
- Claude 4 (9.5)
- GPT-5 (9.2)
- Gemini 2.5 Pro (8.9)
Reasoning
- Claude 4 (9.3)
- GPT-5 (9.3)
- DeepSeek R1 (9.0)
Tool Use
- GPT-5 (9.4)
- Claude 4 (8.9)
- Gemini 2.5 Pro (8.7)
Cost Efficiency
- Gemini 2.5 Flash ($0.08/1K tokens)
- DeepSeek R1 ($0.14/1K tokens)
- GPT-4o Mini ($0.15/1K tokens)
Key Insights
- Claude wins on code quality — Produces more maintainable solutions
- GPT leads on agents — Better tool use and autonomy
- Gemini wins on value — Best price/performance
- DeepSeek is viable — Open source is competitive
Updated Weekly
We refresh these results weekly as models update.