How do Qwen3.7 Plus and DeepSeek V4 Pro (Max) compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Qwen3.7 Plus and DeepSeek V4 Pro (Max) when publicly disclosed.

LLM Comparison

Qwen3.7 Plus vs DeepSeek V4 Pro (Max): benchmark scores, pricing & comparison.

Q: Which is better: Qwen3.7 Plus or DeepSeek V4 Pro (Max)?

AskClash compares Qwen3.7 Plus and DeepSeek V4 Pro (Max) 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 Qwen3.7 Plus vs DeepSeek V4 Pro (Max) 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 Qwen3.7 Plus model page DeepSeek V4 Pro (Max) model page

Rank #26 vs #30AskClash overall scores 43.6 vs 41.0.

Pricing $0.40/$1.60 vs $0.43/$0.87Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightAlibaba vs DeepSeek.

Qwen3.7 Plus vs DeepSeek V4 Pro (Max) benchmark comparison

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

Metric	Qwen3.7 Plus	DeepSeek V4 Pro (Max)
Overall Score	43.6	41.0
Leaderboard Rank	#26	#30
RWT	7.5	7.0
HLE	34.7	37.7
GPQA	90.3	90.1
MATH-500	—	64.5
IFEval	94.6	—
SWE-bench	77.7	80.6
SWE-Pro	57.6	55.4
Terminal-Bench	70.3	67.9
OSWorld	73.3	—
MCP Atlas	73.2	73.6
Finance Agent	38.2	—
CharXiv	85.9	—
MMMU-Pro	79.0	—
Tau2	93.0	96.2
MRCR	91.7	83.5
Input Price (per 1M tokens)	$0.40	$0.43
Output Price (per 1M tokens)	$1.60	$0.87
Context Window	1M	1M
Benchmarks Published	15	9

Qwen3.7 Plus vs DeepSeek V4 Pro (Max) head-to-head charts

Qwen3.7 Plus leads 6 and DeepSeek V4 Pro (Max) leads 4 of 10 shared benchmarks. DeepSeek V4 Pro (Max) is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.7 PlusDeepSeek V4 Pro (Max)

Overall

43.6Qwen3.7 Plus

41.0DeepSeek V4 Pro (Max)

RWT

7.5Qwen3.7 Plus

7.0DeepSeek V4 Pro (Max)

HLE

34.7Qwen3.7 Plus

37.7DeepSeek V4 Pro (Max)

GPQA

90.3Qwen3.7 Plus

90.1DeepSeek V4 Pro (Max)

SWE-bench

77.7Qwen3.7 Plus

80.6DeepSeek V4 Pro (Max)

SWE-Pro

57.6Qwen3.7 Plus

55.4DeepSeek V4 Pro (Max)

Terminal-Bench

70.3Qwen3.7 Plus

67.9DeepSeek V4 Pro (Max)

MCP Atlas

73.2Qwen3.7 Plus

73.6DeepSeek V4 Pro (Max)

Tau2

93.0Qwen3.7 Plus

96.2DeepSeek V4 Pro (Max)

MRCR

91.7Qwen3.7 Plus

83.5DeepSeek V4 Pro (Max)

Qwen3.7 Plus

Input$0.40

Output$1.60

Workload$0.72

Context1M

DeepSeek V4 Pro (Max)

Input$0.43

Output$0.87

Workload$0.61

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.