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Benchmark snapshot

1 benchmarks in common.

4 models selected. 1 benchmarks in common.

Reported scores; test settings may differ.

Reported benchmark results for Llama 3 405B 3.1 BF16, Gemini 4 Argon, Claude Opus 5.5, GPT-6 Astra Thinking
Benchmark
Meta
Google
Anthropic
OpenAI
Arena ELOHuman preference1,3351,5201,5091,476
LiveBench 1.0General reasoningNot in our datasetNot in our dataset83.2%82.2%
GPQA DiamondScientific knowledgeNot in our datasetNot in our datasetNot in our dataset96.0%
HLEAcademic reasoningNot in our datasetNot in our datasetNot in our dataset54.8%
SimpleBenchCommonsense reasoningNot in our datasetNot in our dataset88.4%83.6%
GSOGraduate scienceNot in our datasetNot in our datasetNot in our dataset79.4%
ARC-AGI-2Visual reasoningNot in our dataset91.3%92.5%93.3%
Pricing & context Published USD rates per 1M tokens
SpecificationLlama 3 405B 3.1 BF16Gemini 4 ArgonClaude Opus 5.5GPT-6 Astra Thinking
Input$4$2$4$10
Output$4$10$20$50
Context window131K1.0M1.0M1.1M
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.