LLM Comparison

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

Side-by-side Qwen3.7 Plus vs Gemini 3.1 Pro 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.

Rank #21 vs #24AskClash overall scores 55.7 vs 51.9.
Pricing $0.40/$1.60 vs $2.00/$12.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAlibaba vs Google.

Qwen3.7 Plus vs Gemini 3.1 Pro benchmark comparison

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

MetricQwen3.7 PlusGemini 3.1 Pro
Overall Score55.751.9
Leaderboard Rank#21#24
RWT7.5
Coding Agent Index42.7
HLE34.751.4
GPQA90.394.3
IFEval94.6
SWE-bench77.780.6
SWE-Pro57.654.2
Terminal-Bench70.368.5
DeepSWE11.8
OSWorld73.3
MCP Atlas73.269.2
Finance Agent38.243.0
CharXiv85.980.2
MMMU-Pro79.083.9
ARC-AGI 277.1
Tau293.099.3
MRCR91.784.9
Input Price (per 1M tokens)$0.40$2.00
Output Price (per 1M tokens)$1.60$12.0
Context Window1M1M
Benchmarks Published1516

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

Qwen3.7 Plus leads 6 and Gemini 3.1 Pro leads 6 of 12 shared benchmarks. Qwen3.7 Plus is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.7 PlusGemini 3.1 Pro
Overall
55.7Qwen3.7 Plus
51.9Gemini 3.1 Pro
HLE
34.7Qwen3.7 Plus
51.4Gemini 3.1 Pro
GPQA
90.3Qwen3.7 Plus
94.3Gemini 3.1 Pro
SWE-bench
77.7Qwen3.7 Plus
80.6Gemini 3.1 Pro
SWE-Pro
57.6Qwen3.7 Plus
54.2Gemini 3.1 Pro
Terminal-Bench
70.3Qwen3.7 Plus
68.5Gemini 3.1 Pro
MCP Atlas
73.2Qwen3.7 Plus
69.2Gemini 3.1 Pro
Finance Agent
38.2Qwen3.7 Plus
43.0Gemini 3.1 Pro
CharXiv
85.9Qwen3.7 Plus
80.2Gemini 3.1 Pro
MMMU-Pro
79.0Qwen3.7 Plus
83.9Gemini 3.1 Pro
Tau2
93.0Qwen3.7 Plus
99.3Gemini 3.1 Pro
MRCR
91.7Qwen3.7 Plus
84.9Gemini 3.1 Pro
Qwen3.7 Plus
Input$0.40
Output$1.60
Workload$0.72
Context1M
Gemini 3.1 Pro
Input$2.00
Output$12.0
Workload$4.40
Context1M

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

More Qwen3.7 Plus and Gemini 3.1 Pro comparisons

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

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.