models.fyi

Side by side, same effort tier

Pick up to four models. Every column is evaluated at the tier you choose (resolved to the nearest tier each model supports), so the comparison is what you'd actually deploy.

MetricGPT-5.6 Sol
Minimal
DeepSeek-V3.2
Low
Claude Sonnet 5
Low
Grok 4.1
Low
Intelligence Index64.260.962.461.6
Cost / typical task$0.023$0.0007$0.019$0.022
$/M in · out$5 · $30$0.28 · $0.42$3 · $15$3 · $15
Context window1.05M128K1M256K
Median speed120 tok/s60 tok/s80 tok/s90 tok/s
MMLU-Pro83.780.380.380.8
GPQA Diamond65.564.865.665.3
Humanity's Last Exam27.417.218.823.3
AIME 202553.956.154.954.5
SWE-bench Verified64.759.462.759.2
LiveCodeBench67.965.266.065.6
τ²-bench65.162.665.862.4
IFEval89.384.086.985.5

Hover a benchmark name for what it measures — full plain-language guide on /benchmarks· preview data.