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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 Gemma 4 31B IT Thinking, Qwen3 Max, GLM-5.2 Thinking, Claude Opus 4 4.6 Non-thinking
Benchmark
Google
Qwen
Zhipu AI
Anthropic
Arena ELOHuman preference1,452Not in our dataset1,4751,496
LiveBench 1.0General reasoningNot in our datasetNot in our dataset73.2%Not in our dataset
GPQA DiamondScientific knowledge84.3%Not in our dataset91.2%Not in our dataset
HLEAcademic reasoning19.5%30.2%Not in our dataset19.0%
MMLU ProMulti-task understanding85.2%85.7%Not in our datasetNot in our dataset
SimpleBenchCommonsense reasoningNot in our datasetNot in our dataset58.8%Not in our dataset
SWE-Bench VerifiedAgentic codingNot in our dataset75.3%Not in our datasetNot in our dataset
LiveCodeBenchCompetitive coding80.0%Not in our datasetNot in our datasetNot in our dataset
ARC-AGI-2Visual reasoningNot in our datasetNot in our dataset22.8%Not in our dataset
Pricing & context Published USD rates per 1M tokens
SpecificationGemma 4 31B IT ThinkingQwen3 MaxGLM-5.2 ThinkingClaude Opus 4 4.6 Non-thinking
Input$0.2$0.78$0.006$5
Output$0.4$3.9$6.8$25
Context window262K262K1.0M200K
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.