Compare models. Find the differences.

Add, remove, or change models in the table.

Benchmark snapshot

1 benchmarks in common.

4 models selected. 1 benchmarks in common.

Reported scores; test settings may differ.

Reported benchmark results for Phi-4 Mini Non-Thinking, Gemma 3n 2B IT Non-thinking, QwQ 32B Preview, Llama 3 8B 3.1 (Non-thinking)
Benchmark
Microsoft
Google
Qwen
Meta
Arena ELOHuman preferenceNot in our datasetNot in our dataset1,1541,211
LiveBench 1.0General reasoning25.3%Not in our datasetNot in our dataset26.0%
GPQA DiamondScientific knowledge25.2%24.8%54.5%32.8%
MMLU ProMulti-task understanding52.8%40.5%Not in our datasetNot in our dataset
AIME 2025Mathematics5.3%6.7%Not in our dataset2.7%
LiveCodeBenchCompetitive coding10.4%13.2%Not in our dataset10.8%
Pricing & context Published USD rates per 1M tokens
SpecificationPhi-4 Mini Non-ThinkingGemma 3n 2B IT Non-thinkingQwQ 32B PreviewLlama 3 8B 3.1 (Non-thinking)
Input$0.08$0$0.2$0.05
Output$0.35$0$0.2$0.08
Context window128K8K33K131K
Pricing detailsExplore pricing →Explore pricing →Explore pricing →Explore pricing →
How to read this comparison

Each column keeps the exact model version you selected. Shared benchmarks are the intersection of their reported results; “all coverage” also shows where evidence is missing. Missing results never count as zero.

These are published benchmark scores, not a controlled head-to-head test. The available evidence does not establish matching evaluation settings, so we show no cross-model winner highlights or deltas. Composite quality scores are omitted because they can summarize different benchmark sets.

Scores and statistics are computed upstream. This page reads a fixed data snapshot; its date describes the snapshot, not the date of every measurement.