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Benchmark snapshot

2 benchmarks in common.

4 models selected. 2 benchmarks in common.

Reported scores; test settings may differ.

Reported benchmark results for Gemini 3.7 Flash, Claude Opus 4 4.8 Thinking, GPT-5.6 Sol Thinking, Qwen3 Max Qwen 3.8 Max
Benchmark
Google
Anthropic
OpenAI
Qwen
Arena ELOHuman preference1,4901,4821,4851,482
LiveBench 1.0General reasoning78.8%76.2%81.0%78.5%
GPQA DiamondScientific knowledgeNot in our dataset93.6%94.6%Not in our dataset
HLEAcademic reasoningNot in our dataset49.8%Not in our datasetNot in our dataset
SimpleBenchCommonsense reasoningNot in our dataset64.8%64.8%Not in our dataset
GSOGraduate scienceNot in our dataset47.1%76.5%Not in our dataset
SWE-Bench VerifiedAgentic codingNot in our dataset88.6%Not in our datasetNot in our dataset
ARC-AGI-2Visual reasoning84.6%72.1%90.0%Not in our dataset
Pricing & context Published USD rates per 1M tokens
SpecificationGemini 3.7 FlashClaude Opus 4 4.8 ThinkingGPT-5.6 Sol ThinkingQwen3 Max Qwen 3.8 Max
Input$0.75$5$4$0.78
Output$3.75$25$20$3.9
Context window1.0M200K1.1M262K
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.