Which is better: GPT-6.1 Sol or Qwen3.7 Plus?

Verdict: GPT-6.1 Sol ranks higher (#30 vs #47); Qwen3.7 Plus costs less ($0.40/$1.60 vs $2.00/$10.0 per 1M tokens). AskClash compares GPT-6.1 Sol and Qwen3.7 Plus side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do GPT-6.1 Sol and Qwen3.7 Plus compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-6.1 Sol and Qwen3.7 Plus when publicly disclosed.

LLM Comparison

GPT-6.1 Sol vs Qwen3.7 Plus: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 Sol vs Qwen3.7 Plus 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: GPT-6.1 Sol ranks higher (#30 vs #47); Qwen3.7 Plus costs less ($0.40/$1.60 vs $2.00/$10.0 per 1M tokens).

Open live leaderboard GPT-6.1 Sol model page Qwen3.7 Plus model page

Rank #30 vs #47AskClash overall scores 58.1 vs 42.5.

Pricing $2.00/$10.0 vs $0.40/$1.60Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs Alibaba.

GPT-6.1 Sol vs Qwen3.7 Plus benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

Metric	GPT-6.1 Sol	Qwen3.7 Plus
Overall Score	58.1	42.5
Leaderboard Rank	#30	#47
ACB	61.9	—
RWT	—	7.5
HLE	—	34.7
GPQA	—	90.3
IFEval	—	94.6
SWE-bench	—	77.7
SWE-Pro	—	57.6
Terminal-Bench	—	70.3
DeepSWE	75.2	—
GDPval-AA	—	1522.1
OSWorld	—	73.3
MCP Atlas	—	73.2
Finance Agent	—	38.2
CharXiv	—	85.9
MMMU-Pro	—	79.0
Tau2	—	93.0
MRCR	—	91.7
Input Price (per 1M tokens)	$2.00	$0.40
Output Price (per 1M tokens)	$10.0	$1.60
Context Window	1.05M	1M
Benchmarks Published	3	12

GPT-6.1 Sol vs Qwen3.7 Plus head-to-head charts

GPT-6.1 Sol leads 1 and Qwen3.7 Plus leads 0 of 1 shared benchmarks. Qwen3.7 Plus is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6.1 SolQwen3.7 Plus

Overall

58.1GPT-6.1 Sol

42.5Qwen3.7 Plus

GPT-6.1 Sol

Input$2.00

Output$10.0

Workload$4.00

Context1.05M

Qwen3.7 Plus

Input$0.40

Output$1.60

Workload$0.72

Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More GPT-6.1 Sol and Qwen3.7 Plus comparisons

Explore how GPT-6.1 Sol and Qwen3.7 Plus stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GPT-6.1 Sol Claude Fable 5.1 vs Qwen3.7 Plus Claude Opus 5.5 vs GPT-6.1 Sol Claude Opus 5.5 vs Qwen3.7 Plus Claude Fable 5 vs GPT-6.1 Sol Claude Fable 5 vs Qwen3.7 Plus Claude Opus 5 vs GPT-6.1 Sol Claude Opus 5 vs Qwen3.7 Plus GPT-5.6 Sol vs GPT-6.1 Sol GPT-5.6 Sol vs Qwen3.7 Plus

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

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.