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 GPT-4o Mini Non-thinking, Gemma 3 4B IT Non-thinking, GPT-4.1 Nano Non-thinking, Gemma 3n 4B Non-thinking
Benchmark
OpenAI
Google
OpenAI
Google
Arena ELOHuman preference1,3181,3031,3221,318
LiveBench 1.0General reasoning41.3%Not in our datasetNot in our datasetNot in our dataset
GPQA DiamondScientific knowledge40.2%30.8%Not in our dataset23.7%
MMLU ProMulti-task understandingNot in our dataset43.6%Not in our dataset50.6%
SimpleBenchCommonsense reasoning10.7%Not in our datasetNot in our datasetNot in our dataset
AIME 2025Mathematics8.8%Not in our datasetNot in our dataset11.6%
AiderCode editing3.6%Not in our dataset8.9%Not in our dataset
LiveCodeBenchCompetitive coding27.9%12.6%Not in our dataset13.2%
ARC-AGI-2Visual reasoning0.0%Not in our dataset0.0%Not in our dataset
Pricing & context Published USD rates per 1M tokens
SpecificationGPT-4o Mini Non-thinkingGemma 3 4B IT Non-thinkingGPT-4.1 Nano Non-thinkingGemma 3n 4B Non-thinking
Input$0.075$0.05$0.1$0.06
Output$0.3$0.1$0.4$0.12
Context window128K131K1.0M33K
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.