GPT-6 Sol (max) vs Qwen3.8 Max
Head-to-head on the Towards AI writing benchmark: same 10 real YouTube scripts, five runs each, scored blind by a three-family judge panel. GPT-6 Sol (max) leads overall, 88.0 to 83.2.
The verdict
GPT-6 Sol (max) wins this one, and the board is not close: #31 at 2165.6 Elo and 87.95 overall, against #68, 1681.5 Elo and 83.15 overall for Qwen3.8 Max. The 95% Elo intervals do not overlap (2127.0 to 2200.7 against 1633.0 to 1735.2). Where GPT-6 Sol (max) pulls ahead: Continuity & Emotion (86.39 vs 78.41) and Tone & Voice Match (85.84 vs 80.24). Qwen3.8 Max still wins on Length Adherence (93.96 vs 91.22), so it is not a clean sweep. The trade is price: GPT-6 Sol (max) costs about $0.112 per article against $0.161 for Qwen3.8 Max, so you pay less for the higher rank. Both are closed. Default to GPT-6 Sol (max). Reach for Qwen3.8 Max when length adherence matters more to you than the headline rank.
Pick GPT-6 Sol (max) for the stronger board result, continuity, and tone.
Pick Qwen3.8 Max for length adherence.
Reading the Elo intervals. Each range estimates uncertainty around one model's Elo. We repeatedly sample from every model's recorded run scores on each task and recalculate the full ranking. Comparing these separate ranges does not test the Elo gap between two models. The tasks stay fixed, so the ranges do not measure how the ranking would change on new tasks.
Metric by metric
Blue bars: GPT-6 Sol (max). Orange bars: Qwen3.8 Max. Same 0–100 scale; the bold bar wins that metric.
Everything else that differs
| GPT-6 Sol (max) | Qwen3.8 Max | |
|---|---|---|
| Overall / 100 | 88.0 | 83.2 |
| Writing Elo | 2166 | 1682 |
| Run-to-run spread (± overall std) | 1.330 | 1.980 |
| Cost per script (USD) | 0.112 | 0.161 |
| Avg latency (s) | 171.0 | 431.6 |
| Open weights | No | No |
Full scorecards: GPT-6 Sol (max) · Qwen3.8 Max. How scoring works: methodology.
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