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Benchmark snapshot

1 benchmarks in common.

4 models selected. 1 benchmarks in common.

Reported scores; test settings may differ.

Reported benchmark results for QwQ 32B Preview, Gemma 3n 2B IT Non-thinking, Phi-4 Mini Non-Thinking, GPT-4o Mini Non-thinking
Benchmark
Qwen
Google
Microsoft
OpenAI
Arena ELOHuman preference1,154Not in our datasetNot in our dataset1,318
LiveBench 1.0General reasoningNot in our datasetNot in our dataset25.3%41.3%
GPQA DiamondScientific knowledge54.5%24.8%25.2%40.2%
MMLU ProMulti-task understandingNot in our dataset40.5%52.8%Not in our dataset
SimpleBenchCommonsense reasoningNot in our datasetNot in our datasetNot in our dataset10.7%
AIME 2025MathematicsNot in our dataset6.7%5.3%8.8%
AiderCode editingNot in our datasetNot in our datasetNot in our dataset3.6%
LiveCodeBenchCompetitive codingNot in our dataset13.2%10.4%27.9%
ARC-AGI-2Visual reasoningNot in our datasetNot in our datasetNot in our dataset0.0%
Pricing & context Published USD rates per 1M tokens
SpecificationQwQ 32B PreviewGemma 3n 2B IT Non-thinkingPhi-4 Mini Non-ThinkingGPT-4o Mini Non-thinking
Input$0.2$0$0.08$0.075
Output$0.2$0$0.35$0.3
Context window33K8K128K128K
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.