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Benchmark snapshot

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Reported scores; test settings may differ.

Reported benchmark results for MistralAI Mistral Large 3, Phi-4 Mini Reasoning, Gemini 2.0 Flash-Lite Non-thinking, o1 Pro
Benchmark
Mistral AI
Microsoft
Google
OpenAI
Arena ELOHuman preference1,414Not in our dataset1,354Not in our dataset
GPQA DiamondScientific knowledgeNot in our dataset44.5%51.5%Not in our dataset
HLEAcademic reasoningNot in our datasetNot in our datasetNot in our dataset8.1%
MMLU ProMulti-task understandingNot in our datasetNot in our dataset71.6%Not in our dataset
SimpleBenchCommonsense reasoning20.4%Not in our datasetNot in our datasetNot in our dataset
AIME 2025MathematicsNot in our dataset31.8%Not in our datasetNot in our dataset
Pricing & context Published USD rates per 1M tokens
SpecificationMistralAI Mistral Large 3Phi-4 Mini ReasoningGemini 2.0 Flash-Lite Non-thinkingo1 Pro
Input$0.5$0.08$0.075$15
Output$1.5$0.35$0.3$60
Context window262K128K1.0M200K
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.