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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 Phi-4 Mini Reasoning, Gemini 2.0 Flash-Lite Non-thinking, o1 Pro, MistralAI Mistral Large 3
Benchmark
Microsoft
Google
OpenAI
Mistral AI
Arena ELOHuman preferenceNot in our dataset1,354Not in our dataset1,414
GPQA DiamondScientific knowledge44.5%51.5%Not in our datasetNot in our dataset
HLEAcademic reasoningNot in our datasetNot in our dataset8.1%Not in our dataset
MMLU ProMulti-task understandingNot in our dataset71.6%Not in our datasetNot in our dataset
SimpleBenchCommonsense reasoningNot in our datasetNot in our datasetNot in our dataset20.4%
AIME 2025Mathematics31.8%Not in our datasetNot in our datasetNot in our dataset
Pricing & context Published USD rates per 1M tokens
SpecificationPhi-4 Mini ReasoningGemini 2.0 Flash-Lite Non-thinkingo1 ProMistralAI Mistral Large 3
Input$0.08$0.075$15$0.5
Output$0.35$0.3$60$1.5
Context window128K1.0M200K262K
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.