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 | Qwen | Qwen | Qwen | DeepSeek |
|---|---|---|---|---|
| Arena ELOHuman preference | 1,402 | 1,327 | 1,388 | 1,358 |
| LiveBench 1.0General reasoning | 67.6% | 59.4% | Not in our dataset | 60.5% |
| GPQA DiamondScientific knowledge | 62.9% | 54.8% | Not in our dataset | 59.1% |
| MMLU ProMulti-task understanding | 77.3% | 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 | 18.9% |
| AIME 2025Mathematics | 24.7% | 21.6% | Not in our dataset | 28.8% |
| GSOGraduate science | Not in our dataset | Not in our dataset | 4.9% | Not in our dataset |
| AiderCode editing | 61.8% | Not in our dataset | Not in our dataset | 49.6% |
| SWE-Bench VerifiedAgentic coding | 34.4% | Not in our dataset | Not in our dataset | Not in our dataset |
| LiveCodeBenchCompetitive coding | 35.3% | 29.8% | Not in our dataset | 36.2% |
| Tau-BenchAgentic tool use | 57.0% | Not in our dataset | Not in our dataset | Not in our dataset |
| Terminal-BenchAgentic terminal | Not in our dataset | Not in our dataset | 23.9% | Not in our dataset |
Pricing & context Published USD rates per 1M tokens
| Specification | 3 235B A22B Non-Thinking | 3 30B A3B Non-thinking | 3 Coder 480B A35B Instruct Non-thinking | v3 (Non-thinking) |
|---|---|---|---|---|
| Input | $0.455 | $0.12 | $0.3 | $0.257 |
| Output | $1.82 | $0.5 | $1 | $1.029 |
| Context window | 131K | 41K | 262K | 164K |
| 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.