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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 Llama 4 Scout Non-thinking, Gemini 2.0 Flash Reasoning, GPT-4.1 Mini Non-thinking, v3 Base
Benchmark
Meta
Google
OpenAI
DeepSeek
Arena ELOHuman preference1,321Not in our dataset1,383Not in our dataset
LiveBench 1.0General reasoning47.6%Not in our datasetNot in our datasetNot in our dataset
GPQA DiamondScientific knowledge57.2%Not in our datasetNot in our dataset50.5%
MMLU ProMulti-task understanding74.3%Not in our datasetNot in our dataset60.6%
SimpleBenchCommonsense reasoningNot in our dataset30.7%Not in our datasetNot in our dataset
AIME 2025Mathematics10.0%Not in our datasetNot in our datasetNot in our dataset
AiderCode editingNot in our dataset18.2%32.4%Not in our dataset
LiveCodeBenchCompetitive coding29.8%Not in our datasetNot in our datasetNot in our dataset
ARC-AGI-2Visual reasoning0.0%Not in our dataset0.0%Not in our dataset
Pricing & context Published USD rates per 1M tokens
SpecificationLlama 4 Scout Non-thinkingGemini 2.0 Flash ReasoningGPT-4.1 Mini Non-thinkingv3 Base
Input$0.1$0.1$0.8$0.257
Output$0.3$0.4$3.2$1.029
Context window1.3M1.0MNot available164K
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.