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Benchmark snapshot

1 benchmarks in common.

4 models selected. 1 benchmarks in common.

Reported scores; test settings may differ.

Reported benchmark results for GLM-5 Thinking, Kimi K2 K2.5 Thinking, Mistral Medium 3.5 Thinking, M3 Thinking
Benchmark
Zhipu AI
Moonshot
Mistral AI
MiniMax
Arena ELOHuman preference1,4571,4501,4261,439
LiveBench 1.0General reasoningNot in our datasetNot in our datasetNot in our dataset67.3%
GPQA DiamondScientific knowledge86.0%87.6%Not in our dataset93.0%
HLEAcademic reasoning30.5%31.5%Not in our datasetNot in our dataset
MMLU ProMulti-task understandingNot in our dataset87.1%Not in our datasetNot in our dataset
SimpleBenchCommonsense reasoning53.2%46.8%Not in our dataset45.8%
AIME 2025Mathematics87.1%84.8%86.3%Not in our dataset
SWE-Bench VerifiedAgentic coding77.8%76.8%77.6%Not in our dataset
Terminal-BenchAgentic terminal56.2%50.8%Not in our datasetNot in our dataset
ARC-AGI-2Visual reasoning4.9%11.8%Not in our datasetNot in our dataset
Pricing & context Published USD rates per 1M tokens
SpecificationGLM-5 ThinkingKimi K2 K2.5 ThinkingMistral Medium 3.5 ThinkingM3 Thinking
Input$1$0.5$1.5$0.3
Output$3.2$2.5$7.5$1.2
Context window205K262K262K1.0M
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.