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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 Kimi K2 K2.5 Thinking, GLM-5 Thinking, M3 Thinking, Mistral Medium 3.5 Thinking
Benchmark
Moonshot
Zhipu AI
MiniMax
Mistral AI
Arena ELOHuman preference1,4501,4571,4391,426
LiveBench 1.0General reasoningNot in our datasetNot in our dataset67.3%Not in our dataset
GPQA DiamondScientific knowledge87.6%86.0%93.0%Not in our dataset
HLEAcademic reasoning31.5%30.5%Not in our datasetNot in our dataset
MMLU ProMulti-task understanding87.1%Not in our datasetNot in our datasetNot in our dataset
SimpleBenchCommonsense reasoning46.8%53.2%45.8%Not in our dataset
AIME 2025Mathematics84.8%87.1%Not in our dataset86.3%
SWE-Bench VerifiedAgentic coding76.8%77.8%Not in our dataset77.6%
Terminal-BenchAgentic terminal50.8%56.2%Not in our datasetNot in our dataset
ARC-AGI-2Visual reasoning11.8%4.9%Not in our datasetNot in our dataset
Pricing & context Published USD rates per 1M tokens
SpecificationKimi K2 K2.5 ThinkingGLM-5 ThinkingM3 ThinkingMistral Medium 3.5 Thinking
Input$0.5$1$0.3$1.5
Output$2.5$3.2$1.2$7.5
Context window262K205K1.0M262K
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.