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 | Moonshot | Zhipu AI | xAI | Anthropic |
|---|---|---|---|---|
| Arena ELOHuman preference | 1,418 | 1,365 | 1,442 | 1,402 |
| LiveBench 1.0General reasoning | Not in our dataset | Not in our dataset | 62.3% | Not in our dataset |
| GPQA DiamondScientific knowledge | 74.2% | Not in our dataset | Not in our dataset | 76.1% |
| HLEAcademic reasoning | Not in our dataset | 14.4% | Not in our dataset | 7.8% |
| MMLU ProMulti-task understanding | 81.9% | Not in our dataset | Not in our dataset | Not in our dataset |
| SimpleBenchCommonsense reasoning | Not in our dataset | Not in our dataset | Not in our dataset | 45.5% |
| AIME 2025Mathematics | 51.0% | 91.6% | Not in our dataset | 70.5% |
| AiderCode editing | Not in our dataset | Not in our dataset | Not in our dataset | 61.3% |
| SWE-Bench VerifiedAgentic coding | 69.2% | 59.2% | Not in our dataset | 72.7% |
| LiveCodeBenchCompetitive coding | Not in our dataset | Not in our dataset | Not in our dataset | 55.9% |
| Tau-BenchAgentic tool use | Not in our dataset | Not in our dataset | Not in our dataset | 83.8% |
| ARC-AGI-2Visual reasoning | Not in our dataset | Not in our dataset | Not in our dataset | 5.9% |
Pricing & context Published USD rates per 1M tokens
| Specification | Kimi K2 0905 Preview | GLM-4 4.7 Flash | Grok 4.3 | Claude Sonnet 4 4.0 Thinking |
|---|---|---|---|---|
| Input | $0.6 | $0.061 | $1.25 | $3 |
| Output | $2.5 | $0.4 | $2.5 | $15 |
| Context window | 262K | 200K | 1.0M | 200K |
| 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.