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Benchmark snapshot

0 benchmarks in common.

4 models selected. 0 benchmarks in common.

Reported scores; test settings may differ.

Reported benchmark results for o1 Mini Thinking, Gemini 2.0 Flash Reasoning, Llama 4 Scout Non-thinking, Llama 4 Maverick Default (Non-thinking)
Benchmark
OpenAI
Google
Meta
Meta
Arena ELOHuman preference1,337Not in our dataset1,3211,327
LiveBench 1.0General reasoningNot in our datasetNot in our dataset47.6%59.5%
GPQA DiamondScientific knowledge60.0%Not in our dataset57.2%69.8%
HLEAcademic reasoningNot in our datasetNot in our datasetNot in our dataset5.7%
MMLU ProMulti-task understandingNot in our datasetNot in our dataset74.3%80.5%
SimpleBenchCommonsense reasoning18.1%30.7%Not in our dataset27.7%
AIME 2025MathematicsNot in our datasetNot in our dataset10.0%15.9%
AiderCode editing32.9%18.2%Not in our dataset15.6%
LiveCodeBenchCompetitive codingNot in our datasetNot in our dataset29.8%37.2%
ARC-AGI-2Visual reasoning0.8%Not in our dataset0.0%0.0%
Pricing & context Published USD rates per 1M tokens
Specificationo1 Mini ThinkingGemini 2.0 Flash ReasoningLlama 4 Scout Non-thinkingLlama 4 Maverick Default (Non-thinking)
Input$1.1$0.1$0.1$0.188
Output$4.4$0.4$0.3$0.652
Context window128K1.0M1.3M524K
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.