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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 Mistral Medium 3.5 Thinking, Grok 4.2, 3.6 Plus Thinking, GLM-5 Thinking
Benchmark
Mistral AI
xAI
Qwen
Zhipu AI
Arena ELOHuman preference1,426Not in our dataset1,4431,457
LiveBench 1.0General reasoningNot in our datasetNot in our dataset68.9%Not in our dataset
GPQA DiamondScientific knowledgeNot in our dataset88.5%90.4%86.0%
HLEAcademic reasoningNot in our dataset31.6%28.8%30.5%
SimpleBenchCommonsense reasoningNot in our datasetNot in our datasetNot in our dataset53.2%
AIME 2025Mathematics86.3%Not in our datasetNot in our dataset87.1%
SWE-Bench VerifiedAgentic coding77.6%76.7%Not in our dataset77.8%
Terminal-BenchAgentic terminalNot in our datasetNot in our dataset61.6%56.2%
ARC-AGI-2Visual reasoningNot in our dataset53.3%Not in our dataset4.9%
Pricing & context Published USD rates per 1M tokens
SpecificationMistral Medium 3.5 ThinkingGrok 4.23.6 Plus ThinkingGLM-5 Thinking
Input$1.5$3$0.325$1
Output$7.5$15$1.95$3.2
Context window262K256K1.0M205K
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.