AI model comparison
Picking between two models usually comes down to three things: what a request really costs at your volume, how much context you get, and whether the model can call tools or read an image. Each page below lines those three up.
- GPT-5 vs Claude Sonnet 4.5
- GPT-5 vs Gemini 2.5 Pro
- GPT-5 Mini vs Gemini 2.5 Flash
- GPT-5 vs DeepSeek V3
- Claude Sonnet 4.5 vs Gemini 2.5 Pro
DeepSeek V3 vs Qwen3 Coder 480B A35B
- GPT-5 Mini vs DeepSeek V3
- Grok 4.20 vs GPT-5
- Claude Haiku 4.5 vs GPT-5 Mini
Gemini 2.5 Flash vs DeepSeek V3
Mistral Medium 3 vs GPT-5 Mini
- Claude Sonnet 5.5 vs GPT-6.1 Sol
- Claude Opus 5.5 vs GPT-6 Astra
- Claude Sonnet 5.5 vs Claude Opus 5.5
- Claude Sonnet 5.5 vs Claude Sonnet 5
- Claude Sonnet 5.5 vs Gemini 3.1 Pro Preview
DeepSeek V4 Pro 0423 vs Claude Sonnet 5.5
DeepSeek V4 Pro 0423 vs GPT-6.1 Sol
DeepSeek V4 Flash 0423 vs Gemini 3.8 Flash
- GPT-6 Luna vs DeepSeek V4 Flash 0423
- Grok 4.7 vs GPT-6.1 Sol
- Kimi K3 vs DeepSeek V4 Pro 0423
Cheapest models, for a quick sanity check
| Model | ≈ 1,000 words (toman) |
|---|---|
| Extract | 18 |
| Summarize | 18 |
| Ling 3.0 Tiny | 27 |
| Mistral Nemo | 27 |
| Ling 3.0 Flash | 38 |
| Llama 3 8B Lunaris | 41 |
| GLM Flash Latest | 54 |
| Nex-N2.5-Mini | 56 |