Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
Qwen3.8 Max vs GPT-6.1 Sol: benchmark scores, pricing & comparison.
Side-by-side Qwen3.8 Max vs GPT-6.1 Sol comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.
Verdict: Qwen3.8 Max ranks higher (#11 vs #30); Qwen3.8 Max costs less ($2.00/$6.00 vs $2.00/$10.0 per 1M tokens).
Rank #11 vs #30AskClash overall scores 67.8 vs 58.1.
Pricing $2.00/$6.00 vs $2.00/$10.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryAlibaba vs OpenAI.
Qwen3.8 Max vs GPT-6.1 Sol benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | Qwen3.8 Max | GPT-6.1 Sol |
|---|---|---|
| Overall Score | 67.8 | 58.1 |
| Leaderboard Rank | #11 | #30 |
| ACB | 69.3 | 61.9 |
| Coding Agent Index | 43.3 | — |
| HLE | 43.6 | — |
| GPQA | 92.6 | — |
| IFEval | 82.8 | — |
| SWE-Pro | 67.7 | — |
| SWE-Atlas | 66.3 | — |
| Terminal-Bench | 86.6 | — |
| DeepSWE | 69.3 | 75.2 |
| GDPval-AA | 1667.7 | — |
| OSWorld | 86.1 | — |
| Finance Agent | 50.6 | — |
| CharXiv | 88.4 | — |
| MMMU-Pro | 82.7 | — |
| MRCR | 92.9 | — |
| Input Price (per 1M tokens) | $2.00 | $2.00 |
| Output Price (per 1M tokens) | $6.00 | $10.0 |
| Context Window | 1M | 1.05M |
| Benchmarks Published | 15 | 3 |
Qwen3.8 Max vs GPT-6.1 Sol head-to-head charts
Qwen3.8 Max leads 2 and GPT-6.1 Sol leads 1 of 3 shared benchmarks. Qwen3.8 Max is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
Qwen3.8 MaxGPT-6.1 Sol
Overall
ACB
DeepSWE
Qwen3.8 Max
Input$2.00
Output$6.00
Workload$3.20
Context1M
GPT-6.1 Sol
Input$2.00
Output$10.0
Workload$4.00
Context1.05M
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More Qwen3.8 Max and GPT-6.1 Sol comparisons
Explore how Qwen3.8 Max and GPT-6.1 Sol stack up against other top-ranked LLMs.
How to read this comparison
Token pricing
Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.
Coverage matters
Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.
This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.