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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 GLM-5.3 Flash Thinking, 3.6 Plus Thinking, Grok 4.2, Mistral Medium 3.5 Thinking
Benchmark
Zhipu AI
Qwen
xAI
Mistral AI
Arena ELOHuman preference1,4771,443Not in our dataset1,426
LiveBench 1.0General reasoning71.6%68.9%Not in our datasetNot in our dataset
GPQA DiamondScientific knowledgeNot in our dataset90.4%88.5%Not in our dataset
HLEAcademic reasoningNot in our dataset28.8%31.6%Not in our dataset
AIME 2025MathematicsNot in our datasetNot in our datasetNot in our dataset86.3%
SWE-Bench VerifiedAgentic codingNot in our datasetNot in our dataset76.7%77.6%
Terminal-BenchAgentic terminalNot in our dataset61.6%Not in our datasetNot in our dataset
ARC-AGI-2Visual reasoning65.8%Not in our dataset53.3%Not in our dataset
Pricing & context Published USD rates per 1M tokens
SpecificationGLM-5.3 Flash Thinking3.6 Plus ThinkingGrok 4.2Mistral Medium 3.5 Thinking
Input$0.027$0.325$3$1.5
Output$0.1$1.95$15$7.5
Context window1.0M1.0M256K262K
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.