How do Gemini 3.6 Flash 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 Gemini 3.6 Flash and Qwen3.7 Plus when publicly disclosed.

LLM Comparison

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

Q: Which is better: Gemini 3.6 Flash or Qwen3.7 Plus?

AskClash compares Gemini 3.6 Flash 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 Gemini 3.6 Flash 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 Gemini 3.6 Flash model page Qwen3.7 Plus model page

Rank #17 vs #22AskClash overall scores 62.9 vs 55.5.

Pricing $1.50/$7.50 vs $0.40/$1.60Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryGoogle vs Alibaba.

Gemini 3.6 Flash 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	Gemini 3.6 Flash	Qwen3.7 Plus
Overall Score	62.9	55.5
Leaderboard Rank	#17	#22
RWT	—	7.5
HLE	38.0	34.7
GPQA	92.8	90.3
IFEval	—	94.6
SWE-bench	—	77.7
SWE-Pro	58.7	57.6
Terminal-Bench	78.0	70.3
DeepSWE	49.0	—
OSWorld	83.0	73.3
MCP Atlas	—	73.2
Finance Agent	—	38.2
CharXiv	85.2	85.9
MMMU-Pro	83.2	79.0
Tau2	—	93.0
MRCR	91.8	91.7
Input Price (per 1M tokens)	$1.50	$0.40
Output Price (per 1M tokens)	$7.50	$1.60
Context Window	1M	1M
Benchmarks Published	11	15

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

Gemini 3.6 Flash leads 8 and Qwen3.7 Plus leads 1 of 9 shared benchmarks. Qwen3.7 Plus is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.6 FlashQwen3.7 Plus

Overall

62.9Gemini 3.6 Flash

55.5Qwen3.7 Plus

HLE

38.0Gemini 3.6 Flash

34.7Qwen3.7 Plus

GPQA

92.8Gemini 3.6 Flash

90.3Qwen3.7 Plus

SWE-Pro

58.7Gemini 3.6 Flash

57.6Qwen3.7 Plus

Terminal-Bench

78.0Gemini 3.6 Flash

70.3Qwen3.7 Plus

OSWorld

83.0Gemini 3.6 Flash

73.3Qwen3.7 Plus

CharXiv

85.2Gemini 3.6 Flash

85.9Qwen3.7 Plus

MMMU-Pro

83.2Gemini 3.6 Flash

79.0Qwen3.7 Plus

MRCR

91.8Gemini 3.6 Flash

91.7Qwen3.7 Plus

Gemini 3.6 Flash

Input$1.50

Output$7.50

Workload$3.00

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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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.