Compare models. Find the differences.

Add, remove, or change models in the table.

Benchmark snapshot

2 benchmarks in common.

4 models selected. 2 benchmarks in common.

Reported scores; test settings may differ.

Reported benchmark results for M3 Thinking, Kimi K2 K2.5 Thinking, GPT-5.6 Luna Thinking, GLM-5 Thinking
Benchmark
MiniMax
Moonshot
OpenAI
Zhipu AI
Arena ELOHuman preference1,4391,4501,4531,457
LiveBench 1.0General reasoning67.3%Not in our dataset73.6%Not in our dataset
GPQA DiamondScientific knowledge93.0%87.6%Not in our dataset86.0%
HLEAcademic reasoningNot in our dataset31.5%Not in our dataset30.5%
MMLU ProMulti-task understandingNot in our dataset87.1%Not in our datasetNot in our dataset
SimpleBenchCommonsense reasoning45.8%46.8%46.8%53.2%
AIME 2025MathematicsNot in our dataset84.8%Not in our dataset87.1%
SWE-Bench VerifiedAgentic codingNot in our dataset76.8%Not in our dataset77.8%
Terminal-BenchAgentic terminalNot in our dataset50.8%Not in our dataset56.2%
ARC-AGI-2Visual reasoningNot in our dataset11.8%47.6%4.9%
Pricing & context Published USD rates per 1M tokens
SpecificationM3 ThinkingKimi K2 K2.5 ThinkingGPT-5.6 Luna ThinkingGLM-5 Thinking
Input$0.3$0.5$0.2$1
Output$1.2$2.5$1.2$3.2
Context window1.0M262K1.1M205K
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.