LLM Comparison

Qwen3.7 Max vs Gemini 3.6 Flash: benchmark scores, pricing & comparison.

Side-by-side Qwen3.7 Max vs Gemini 3.6 Flash 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 #12 vs #17AskClash overall scores 70.9 vs 62.9.
Pricing $2.50/$7.50 vs $1.50/$7.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAlibaba vs Google.

Qwen3.7 Max vs Gemini 3.6 Flash benchmark comparison

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

MetricQwen3.7 MaxGemini 3.6 Flash
Overall Score70.962.9
Leaderboard Rank#12#17
RWT7.5
HLE41.438.0
GPQA92.492.8
IFEval94.3
SWE-bench80.4
SWE-Pro58.7
Terminal-Bench69.778.0
DeepSWE49.0
OSWorld83.0
MCP Atlas76.4
Finance Agent48.4
CharXiv85.2
MMMU-Pro83.2
Tau294.7
MRCR90.491.8
Input Price (per 1M tokens)$2.50$1.50
Output Price (per 1M tokens)$7.50$7.50
Context Window1M1M
Benchmarks Published1111

Qwen3.7 Max vs Gemini 3.6 Flash head-to-head charts

Qwen3.7 Max leads 2 and Gemini 3.6 Flash leads 3 of 5 shared benchmarks. Gemini 3.6 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.7 MaxGemini 3.6 Flash
Overall
70.9Qwen3.7 Max
62.9Gemini 3.6 Flash
HLE
41.4Qwen3.7 Max
38.0Gemini 3.6 Flash
GPQA
92.4Qwen3.7 Max
92.8Gemini 3.6 Flash
Terminal-Bench
69.7Qwen3.7 Max
78.0Gemini 3.6 Flash
MRCR
90.4Qwen3.7 Max
91.8Gemini 3.6 Flash
Qwen3.7 Max
Input$2.50
Output$7.50
Workload$4.00
Context1M
Gemini 3.6 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M

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

More Qwen3.7 Max and Gemini 3.6 Flash comparisons

Explore how Qwen3.7 Max and Gemini 3.6 Flash 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.