Compare models. Find the differences.
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Benchmark snapshot
0 benchmarks in common.
4 models selected. 0 benchmarks in common.
Reported scores; test settings may differ.
| Benchmark | Anthropic | OpenAI | Qwen | Qwen |
|---|---|---|---|---|
| Arena ELOHuman preference | 1,455 | 1,456 | Not in our dataset | 1,422 |
| LiveBench 1.0General reasoning | Not in our dataset | Not in our dataset | 63.6% | Not in our dataset |
| GPQA DiamondScientific knowledge | Not in our dataset | Not in our dataset | 55.9% | Not in our dataset |
| HLEAcademic reasoning | 7.5% | 6.8% | Not in our dataset | Not in our dataset |
| MMLU ProMulti-task understanding | Not in our dataset | Not in our dataset | 74.0% | Not in our dataset |
| SimpleBenchCommonsense reasoning | Not in our dataset | 53.2% | Not in our dataset | Not in our dataset |
| AIME 2025Mathematics | Not in our dataset | Not in our dataset | 65.6% | Not in our dataset |
| GSOGraduate science | Not in our dataset | 13.7% | Not in our dataset | Not in our dataset |
| LiveCodeBenchCompetitive coding | Not in our dataset | Not in our dataset | 54.2% | Not in our dataset |
| Terminal-BenchAgentic terminal | 42.8% | 47.6% | Not in our dataset | Not in our dataset |
| ARC-AGI-2Visual reasoning | 3.8% | 0.4% | Not in our dataset | 1.3% |
Pricing & context Published USD rates per 1M tokens
| Specification | Claude Sonnet 4 4.5 Non-thinking | GPT-5.1 | Qwen3-4B (Thinking) Thinking | 3 235B A22B non-thinking-2507 |
|---|---|---|---|---|
| Input | $3 | $1.25 | $0 | $0.14 |
| Output | $15 | $10 | $0 | $0.8 |
| Context window | 1.0M | 400K | 41K | 262K |
| Pricing details | Explore 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.