How do DeepSeek V4 Flash 0731 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 DeepSeek V4 Flash 0731 and Qwen3.7 Plus when publicly disclosed.

LLM Comparison

DeepSeek V4 Flash 0731 vs Qwen3.7 Plus: benchmark scores, pricing & comparison.

Q: Which is better: DeepSeek V4 Flash 0731 or Qwen3.7 Plus?

AskClash compares DeepSeek V4 Flash 0731 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 DeepSeek V4 Flash 0731 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 DeepSeek V4 Flash 0731 model page Qwen3.7 Plus model page

Rank #16 vs #25AskClash overall scores 56.1 vs 44.3.

Pricing $0.14/$0.28 vs $0.40/$1.60Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryDeepSeek vs Alibaba.

DeepSeek V4 Flash 0731 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	DeepSeek V4 Flash 0731	Qwen3.7 Plus
Overall Score	56.1	44.3
Leaderboard Rank	#16	#25
RWT	—	7.5
HLE	37.0	34.7
GPQA	91.0	90.3
MATH-500	57.4	—
IFEval	—	94.6
SWE-bench	79.0	77.7
SWE-Pro	—	57.6
Terminal-Bench	82.7	70.3
DeepSWE	54.4	—
OSWorld	—	73.3
MCP Atlas	69.0	73.2
Finance Agent	—	38.2
CharXiv	—	85.9
MMMU-Pro	—	79.0
Tau2	—	93.0
MRCR	78.7	91.7
Input Price (per 1M tokens)	$0.14	$0.40
Output Price (per 1M tokens)	$0.28	$1.60
Context Window	1M	1M
Benchmarks Published	9	15

DeepSeek V4 Flash 0731 vs Qwen3.7 Plus head-to-head charts

DeepSeek V4 Flash 0731 leads 5 and Qwen3.7 Plus leads 2 of 7 shared benchmarks. DeepSeek V4 Flash 0731 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4 Flash 0731Qwen3.7 Plus

Overall

56.1DeepSeek V4 Flash 0731

44.3Qwen3.7 Plus

HLE

37.0DeepSeek V4 Flash 0731

34.7Qwen3.7 Plus

GPQA

91.0DeepSeek V4 Flash 0731

90.3Qwen3.7 Plus

SWE-bench

79.0DeepSeek V4 Flash 0731

77.7Qwen3.7 Plus

Terminal-Bench

82.7DeepSeek V4 Flash 0731

70.3Qwen3.7 Plus

MCP Atlas

69.0DeepSeek V4 Flash 0731

73.2Qwen3.7 Plus

MRCR

78.7DeepSeek V4 Flash 0731

91.7Qwen3.7 Plus

DeepSeek V4 Flash 0731

Input$0.14

Output$0.28

Workload$0.20

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.