Local Inference

Model benchmarks

Every config ranked for coding work on one RTX 3090. The score weights coding 50%, agents & tools 30% and reasoning 20%, and combines them as a weighted geometric mean, so being weak in any one area pulls it down. Answers must finish within a thinking allowance taken from each config’s own measured speed, so faster configs get more room to reason. How it's measured

Coding work, every config

Rows are ranked by score. Each row has three lines, top to bottom: coding, agents & tools, reasoning. Hover or tap a mark for details, or tab through the rows. The table below lists every number.

CodingLiveCodeBenchSWE-bench VerifiedAgents & toolsBFCLTerminal-BenchReasoningGPQA DiamondAIME 2025Score ± 1 standard errorGeneration, deepest context measured · t/s

Capability benchmarks

Percent of tasks solved. The score carries ± one standard error, and rows sharing a rank are too close to call.

#Model · configScoreCoding · 50%Agents & tools · 30%Reasoning · 20%Speed
LiveCodeBenchSWE-bench VerifiedBFCLTerminal-BenchGPQA DiamondAIME 2025GenerationThinking allowanceFixed / night
Not ranked yet · quick tier only
–
64k ctx, DFlash2 speculative decoding
quick 71.560.0—87.5—81.882.5146 @042.2k tokens—
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Gemma 3 4B IT Q4_K_Mquick tier only
32k ctx, q8_0 KV
quick 26.018.0—53.3—32.312.5156 @16k24.8k tokens (context limit)—

4 configs have speed numbers but no capability evals yet; they are on the Speed tab.

How the score works