Compare models. Find the differences.

Add, remove, or change models in the table.

Benchmark snapshot

4 benchmarks in common.

4 models selected. 4 benchmarks in common.

Reported scores; test settings may differ.

Reported benchmark results for GPT-6 Astra Thinking, Claude Fable 5.1, GPT-6.1 Sol Thinking, Claude Opus 5 Thinking
Benchmark
OpenAI
Anthropic
OpenAI
Anthropic
Arena ELOHuman preference1,4761,5041,4811,492
LiveBench 1.0General reasoning82.2%83.4%81.6%80.1%
GPQA DiamondScientific knowledge96.0%93.7%Not in our dataset93.7%
HLEAcademic reasoning54.8%46.5%Not in our datasetNot in our dataset
SimpleBenchCommonsense reasoning83.6%86.6%82.9%80.6%
GSOGraduate science79.4%88.2%Not in our datasetNot in our dataset
ARC-AGI-2Visual reasoning93.3%90.0%91.7%88.3%
Pricing & context Published USD rates per 1M tokens
SpecificationGPT-6 Astra ThinkingClaude Fable 5.1GPT-6.1 Sol ThinkingClaude Opus 5 Thinking
Input$10$10$2$5
Output$50$50$10$25
Context window1.1M1.0M1.1M1.0M
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.