Compare models. Find the differences.
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Benchmark snapshot
2 benchmarks in common.
4 models selected. 2 benchmarks in common.
Reported scores; test settings may differ.
| Benchmark | OpenAI | MiniMax | OpenAI | Qwen |
|---|---|---|---|---|
| Arena ELOHuman preference | 1,402 | 1,385 | Not in our dataset | 1,375 |
| LiveBench 1.0General reasoning | 75.7% | Not in our dataset | Not in our dataset | 77.1% |
| GPQA DiamondScientific knowledge | 78.0% | 83.0% | 80.1% | 71.1% |
| HLEAcademic reasoning | 8.1% | 22.2% | 14.9% | 7.6% |
| MMLU ProMulti-task understanding | Not in our dataset | Not in our dataset | 80.8% | 83.0% |
| SimpleBenchCommonsense reasoning | 40.1% | 34.7% | Not in our dataset | Not in our dataset |
| AIME 2025Mathematics | 79.2% | 83.0% | Not in our dataset | 81.5% |
| AiderCode editing | 61.7% | Not in our dataset | 41.8% | 61.8% |
| SWE-Bench VerifiedAgentic coding | 48.9% | Not in our dataset | 62.0% | 34.4% |
| LiveCodeBenchCompetitive coding | 63.9% | Not in our dataset | Not in our dataset | 70.7% |
| Tau-BenchAgentic tool use | 70.8% | Not in our dataset | Not in our dataset | 58.6% |
| Terminal-BenchAgentic terminal | Not in our dataset | 29.2% | Not in our dataset | Not in our dataset |
Pricing & context Published USD rates per 1M tokens
| Specification | o1 | M2 M2.1 | GPT-OSS 120B Thinking | 3 235B A22B Thinking |
|---|---|---|---|---|
| Input | $15 | $0.3 | $0.03 | $0.455 |
| Output | $60 | $1.2 | $0.136 | $1.82 |
| Context window | 200K | 205K | 131K | 131K |
| 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.