Compare models. Find the differences.
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Benchmark snapshot
1 benchmarks in common.
4 models selected. 1 benchmarks in common.
Reported scores; test settings may differ.
| Benchmark | Zhipu AI | OpenAI | OpenAI | Anthropic |
|---|---|---|---|---|
| Arena ELOHuman preference | 1,465 | 1,467 | Not in our dataset | 1,462 |
| LiveBench 1.0General reasoning | Not in our dataset | 77.9% | 74.6% | 76.0% |
| GPQA DiamondScientific knowledge | 86.2% | Not in our dataset | 92.4% | Not in our dataset |
| HLEAcademic reasoning | 31.0% | Not in our dataset | 35.4% | Not in our dataset |
| MMLU ProMulti-task understanding | 85.9% | Not in our dataset | 87.4% | Not in our dataset |
| SimpleBenchCommonsense reasoning | 55.1% | 48.9% | 45.8% | 60.6% |
| AIME 2025Mathematics | Not in our dataset | Not in our dataset | 100.0% | Not in our dataset |
| GSOGraduate science | Not in our dataset | Not in our dataset | 27.4% | 37.3% |
| SWE-Bench VerifiedAgentic coding | 73.8% | Not in our dataset | 80.0% | Not in our dataset |
| Tau-BenchAgentic tool use | 84.1% | Not in our dataset | 82.0% | Not in our dataset |
| Terminal-BenchAgentic terminal | 63.5% | Not in our dataset | 54.0% | Not in our dataset |
| ARC-AGI-2Visual reasoning | Not in our dataset | 74.2% | 52.9% | Not in our dataset |
Pricing & context Published USD rates per 1M tokens
| Specification | GLM-5.1 Thinking | GPT-5.6 Terra Thinking | GPT-5.2 Thinking | Claude Sonnet 5 Thinking |
|---|---|---|---|---|
| Input | $1.4 | $2 | $1.75 | $2 |
| Output | $4.4 | $12 | $14 | $10 |
| Context window | 205K | 1.1M | 400K | 1.0M |
| 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.