LLM Comparison

Gemini 3.1 Pro vs Qwen3.7 Plus: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.1 Pro 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 leaderboardGemini 3.1 Pro model pageQwen3.7 Plus model page
Rank #29 vs #35AskClash overall scores 37.5 vs 33.4.
Pricing $2.00/$12.0 vs $0.40/$1.60Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryGoogle vs Alibaba.

Gemini 3.1 Pro vs Qwen3.7 Plus benchmark comparison

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

MetricGemini 3.1 ProQwen3.7 Plus
Overall Score37.533.4
Leaderboard Rank#29#35
RWT—7.5
Coding Agent Index32.9—
HLE51.434.7
GPQA94.390.3
IFEval—94.6
SWE-bench80.677.7
SWE-Pro54.257.6
Terminal-Bench68.570.3
DeepSWE11.7—
GDPval-AA1317.01522.1
OSWorld—73.3
MCP Atlas69.273.2
Finance Agent43.038.2
CharXiv80.285.9
MMMU-Pro83.979.0
ARC-AGI 277.1—
Tau299.393.0
MRCR84.991.7
Input Price (per 1M tokens)$2.00$0.40
Output Price (per 1M tokens)$12.0$1.60
Context Window1M1M
Benchmarks Published1615

Gemini 3.1 Pro vs Qwen3.7 Plus head-to-head charts

Gemini 3.1 Pro leads 7 and Qwen3.7 Plus leads 6 of 13 shared benchmarks. Qwen3.7 Plus is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.1 ProQwen3.7 Plus
Overall
37.5Gemini 3.1 Pro
33.4Qwen3.7 Plus
HLE
51.4Gemini 3.1 Pro
34.7Qwen3.7 Plus
GPQA
94.3Gemini 3.1 Pro
90.3Qwen3.7 Plus
SWE-bench
80.6Gemini 3.1 Pro
77.7Qwen3.7 Plus
SWE-Pro
54.2Gemini 3.1 Pro
57.6Qwen3.7 Plus
Terminal-Bench
68.5Gemini 3.1 Pro
70.3Qwen3.7 Plus
GDPval-AA
1317.0Gemini 3.1 Pro
1522.1Qwen3.7 Plus
MCP Atlas
69.2Gemini 3.1 Pro
73.2Qwen3.7 Plus
Finance Agent
43.0Gemini 3.1 Pro
38.2Qwen3.7 Plus
CharXiv
80.2Gemini 3.1 Pro
85.9Qwen3.7 Plus
MMMU-Pro
83.9Gemini 3.1 Pro
79.0Qwen3.7 Plus
Tau2
99.3Gemini 3.1 Pro
93.0Qwen3.7 Plus
Gemini 3.1 Pro
Input$2.00
Output$12.0
Workload$4.40
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.

More Gemini 3.1 Pro and Qwen3.7 Plus comparisons

Explore how Gemini 3.1 Pro and Qwen3.7 Plus stack up against other top-ranked LLMs.

Claude Opus 5 vs Gemini 3.1 ProClaude Opus 5 vs Qwen3.7 PlusClaude Fable 5 vs Gemini 3.1 ProClaude Fable 5 vs Qwen3.7 PlusGLM-5.3 vs Gemini 3.1 ProGLM-5.3 vs Qwen3.7 PlusGrok 4.6 vs Gemini 3.1 ProGrok 4.6 vs Qwen3.7 PlusGPT-5.6 Sol vs Gemini 3.1 ProGPT-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.