LLM Comparison

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

Side-by-side Qwen3.7 Max 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 #11 vs #24AskClash overall scores 70.7 vs 51.9.
Pricing $2.50/$7.50 vs $2.00/$12.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAlibaba vs Google.

Qwen3.7 Max 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 MaxGemini 3.1 Pro
Overall Score70.751.9
Leaderboard Rank#11#24
RWT7.5
Coding Agent Index42.7
HLE41.451.4
GPQA92.494.3
IFEval94.3
SWE-bench80.480.6
SWE-Pro54.2
Terminal-Bench69.768.5
DeepSWE11.8
MCP Atlas76.469.2
Finance Agent48.443.0
CharXiv80.2
MMMU-Pro83.9
ARC-AGI 277.1
Tau294.799.3
MRCR90.484.9
Input Price (per 1M tokens)$2.50$2.00
Output Price (per 1M tokens)$7.50$12.0
Context Window1M1M
Benchmarks Published1116

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

Qwen3.7 Max leads 5 and Gemini 3.1 Pro leads 4 of 9 shared benchmarks. Qwen3.7 Max is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.7 MaxGemini 3.1 Pro
Overall
70.7Qwen3.7 Max
51.9Gemini 3.1 Pro
HLE
41.4Qwen3.7 Max
51.4Gemini 3.1 Pro
GPQA
92.4Qwen3.7 Max
94.3Gemini 3.1 Pro
SWE-bench
80.4Qwen3.7 Max
80.6Gemini 3.1 Pro
Terminal-Bench
69.7Qwen3.7 Max
68.5Gemini 3.1 Pro
MCP Atlas
76.4Qwen3.7 Max
69.2Gemini 3.1 Pro
Finance Agent
48.4Qwen3.7 Max
43.0Gemini 3.1 Pro
Tau2
94.7Qwen3.7 Max
99.3Gemini 3.1 Pro
MRCR
90.4Qwen3.7 Max
84.9Gemini 3.1 Pro
Qwen3.7 Max
Input$2.50
Output$7.50
Workload$4.00
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 Max and Gemini 3.1 Pro comparisons

Explore how Qwen3.7 Max 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.