Compare models. Find the differences.
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Benchmark snapshot
4 benchmarks in common.
4 models selected. 4 benchmarks in common.
Reported scores; test settings may differ.
| Benchmark | DeepSeek | Qwen | OpenAI | Qwen |
|---|---|---|---|---|
| Arena ELOHuman preference | 1,422 | Not in our dataset | 1,435 | 1,416 |
| LiveBench 1.0General reasoning | Not in our dataset | 64.0% | Not in our dataset | Not in our dataset |
| GPQA DiamondScientific knowledge | 82.4% | 87.8% | 85.7% | 86.6% |
| HLEAcademic reasoning | 25.1% | 24.0% | 24.8% | 25.3% |
| MMLU ProMulti-task understanding | 85.0% | 86.2% | 87.1% | 86.7% |
| SimpleBenchCommonsense reasoning | Not in our dataset | Not in our dataset | 56.7% | Not in our dataset |
| AIME 2025Mathematics | 93.1% | Not in our dataset | 94.6% | Not in our dataset |
| GSOGraduate science | Not in our dataset | Not in our dataset | 6.9% | Not in our dataset |
| AiderCode editing | Not in our dataset | Not in our dataset | 88.0% | Not in our dataset |
| SWE-Bench VerifiedAgentic coding | 73.1% | 77.2% | 72.8% | 72.0% |
| Tau-BenchAgentic tool use | Not in our dataset | Not in our dataset | 81.1% | Not in our dataset |
| Terminal-BenchAgentic terminal | 39.3% | Not in our dataset | 35.2% | Not in our dataset |
| ARC-AGI-2Visual reasoning | Not in our dataset | Not in our dataset | 9.9% | Not in our dataset |
Pricing & context Published USD rates per 1M tokens
| Specification | v3 3.2 Thinking | 3.6 27B Thinking | GPT-5.0 | 3.5 122B A10B Thinking |
|---|---|---|---|---|
| Input | $0.26 | $0.45 | $1.25 | $0.26 |
| Output | $0.38 | $2.7 | $10 | $2.08 |
| Context window | 164K | 262K | 400K | 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.