How do GPT-5.5 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-5.5 and Qwen3.7 Plus when publicly disclosed.

LLM Comparison

GPT-5.5 vs Qwen3.7 Plus: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.5 or Qwen3.7 Plus?

AskClash compares GPT-5.5 and Qwen3.7 Plus side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side GPT-5.5 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.

Open live leaderboard GPT-5.5 model page Qwen3.7 Plus model page

Rank #7 vs #21AskClash overall scores 76.9 vs 55.7.

Pricing $5.00/$30.0 vs $0.40/$1.60Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs Alibaba.

GPT-5.5 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-5.5	Qwen3.7 Plus
Overall Score	76.9	55.7
Leaderboard Rank	#7	#21
RWT	8.0	7.5
Coding Agent Index	76.4	—
HLE	52.2	34.7
GPQA	93.6	90.3
IFEval	—	94.6
SWE-bench	—	77.7
SWE-Pro	58.6	57.6
Terminal-Bench	82.7	70.3
DeepSWE	67.0	—
OSWorld	78.7	73.3
MCP Atlas	75.3	73.2
Finance Agent	51.8	38.2
CharXiv	—	85.9
MMMU-Pro	81.2	79.0
ARC-AGI 2	85.0	—
Tau2	98.0	93.0
MRCR	—	91.7
Input Price (per 1M tokens)	$5.00	$0.40
Output Price (per 1M tokens)	$30.0	$1.60
Context Window	1M	1M
Benchmarks Published	13	15

GPT-5.5 vs Qwen3.7 Plus head-to-head charts

GPT-5.5 leads 11 and Qwen3.7 Plus leads 0 of 11 shared benchmarks. Qwen3.7 Plus is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.5Qwen3.7 Plus

Overall

76.9GPT-5.5

55.7Qwen3.7 Plus

RWT

8.0GPT-5.5

7.5Qwen3.7 Plus

HLE

52.2GPT-5.5

34.7Qwen3.7 Plus

GPQA

93.6GPT-5.5

90.3Qwen3.7 Plus

SWE-Pro

58.6GPT-5.5

57.6Qwen3.7 Plus

Terminal-Bench

82.7GPT-5.5

70.3Qwen3.7 Plus

OSWorld

78.7GPT-5.5

73.3Qwen3.7 Plus

MCP Atlas

75.3GPT-5.5

73.2Qwen3.7 Plus

Finance Agent

51.8GPT-5.5

38.2Qwen3.7 Plus

MMMU-Pro

81.2GPT-5.5

79.0Qwen3.7 Plus

Tau2

98.0GPT-5.5

93.0Qwen3.7 Plus

GPT-5.5

Input$5.00

Output$30.0

Workload$11

Context1M

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.

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Claude Fable 5 vs GPT-5.5 Claude Fable 5 vs Qwen3.7 Plus GPT-5.6 Sol vs GPT-5.5 GPT-5.6 Sol vs Qwen3.7 Plus Kimi K3 vs GPT-5.5 Kimi K3 vs Qwen3.7 Plus Claude Opus 4.8 vs GPT-5.5 Claude Opus 4.8 vs Qwen3.7 Plus Grok 4.5 vs GPT-5.5 Grok 4.5 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.