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 | Moonshot | Qwen | Qwen | OpenAI |
|---|---|---|---|---|
| Arena ELOHuman preference | 1,418 | 1,422 | Not in our dataset | 1,456 |
| LiveBench 1.0General reasoning | 76.4% | Not in our dataset | 63.6% | Not in our dataset |
| GPQA DiamondScientific knowledge | 75.1% | Not in our dataset | 55.9% | Not in our dataset |
| HLEAcademic reasoning | Not in our dataset | Not in our dataset | Not in our dataset | 6.8% |
| MMLU ProMulti-task understanding | 81.1% | Not in our dataset | 74.0% | Not in our dataset |
| SimpleBenchCommonsense reasoning | 26.3% | Not in our dataset | Not in our dataset | 53.2% |
| AIME 2025Mathematics | 49.5% | Not in our dataset | 65.6% | Not in our dataset |
| GSOGraduate science | 4.9% | Not in our dataset | Not in our dataset | 13.7% |
| AiderCode editing | 60.0% | Not in our dataset | Not in our dataset | Not in our dataset |
| SWE-Bench VerifiedAgentic coding | 65.8% | Not in our dataset | Not in our dataset | Not in our dataset |
| LiveCodeBenchCompetitive coding | Not in our dataset | Not in our dataset | 54.2% | Not in our dataset |
| Tau-BenchAgentic tool use | 70.6% | Not in our dataset | Not in our dataset | Not in our dataset |
| Terminal-BenchAgentic terminal | Not in our dataset | Not in our dataset | Not in our dataset | 47.6% |
| ARC-AGI-2Visual reasoning | Not in our dataset | 1.3% | Not in our dataset | 0.4% |
Pricing & context Published USD rates per 1M tokens
| Specification | Kimi K2 0711 Preview | 3 235B A22B non-thinking-2507 | Qwen3-4B (Thinking) Thinking | GPT-5.1 |
|---|---|---|---|---|
| Input | $0.57 | $0.14 | $0 | $1.25 |
| Output | $2.3 | $0.8 | $0 | $10 |
| Context window | 131K | 262K | 41K | 400K |
| 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.