How do Qwen3.7 Max and DeepSeek V4 Pro 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 Max and DeepSeek V4 Pro when publicly disclosed.

LLM Comparison

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

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

AskClash compares Qwen3.7 Max and DeepSeek V4 Pro 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 Max vs DeepSeek V4 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.

Open live leaderboard Qwen3.7 Max model page DeepSeek V4 Pro model page

Rank #11 vs #53AskClash overall scores 70.7 vs 20.0.

Pricing $2.50/$7.50 vs $1.74/$3.48Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightAlibaba vs DeepSeek.

Qwen3.7 Max vs DeepSeek V4 Pro benchmark comparison

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

Metric	Qwen3.7 Max	DeepSeek V4 Pro
Overall Score	70.7	20.0
Leaderboard Rank	#11	#53
RWT	7.5	7.0
HLE	41.4	7.7
GPQA	92.4	72.9
MATH-500	—	64.5
IFEval	94.3	—
SWE-bench	80.4	73.6
SWE-Pro	—	52.1
Terminal-Bench	69.7	59.1
MCP Atlas	76.4	69.4
Finance Agent	48.4	44.1
Tau2	94.7	—
MRCR	90.4	44.7
Input Price (per 1M tokens)	$2.50	$1.74
Output Price (per 1M tokens)	$7.50	$3.48
Context Window	1M	1M
Benchmarks Published	11	8

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

Qwen3.7 Max leads 9 and DeepSeek V4 Pro leads 0 of 9 shared benchmarks. DeepSeek V4 Pro is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.7 MaxDeepSeek V4 Pro

Overall

70.7Qwen3.7 Max

20.0DeepSeek V4 Pro

RWT

7.5Qwen3.7 Max

7.0DeepSeek V4 Pro

HLE

41.4Qwen3.7 Max

7.7DeepSeek V4 Pro

GPQA

92.4Qwen3.7 Max

72.9DeepSeek V4 Pro

SWE-bench

80.4Qwen3.7 Max

73.6DeepSeek V4 Pro

Terminal-Bench

69.7Qwen3.7 Max

59.1DeepSeek V4 Pro

MCP Atlas

76.4Qwen3.7 Max

69.4DeepSeek V4 Pro

Finance Agent

48.4Qwen3.7 Max

44.1DeepSeek V4 Pro

MRCR

90.4Qwen3.7 Max

44.7DeepSeek V4 Pro

Qwen3.7 Max

Input$2.50

Output$7.50

Workload$4.00

Context1M

DeepSeek V4 Pro

Input$1.74

Output$3.48

Workload$2.44

Context1M

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

More Qwen3.7 Max and DeepSeek V4 Pro comparisons

Explore how Qwen3.7 Max and DeepSeek V4 Pro stack up against other top-ranked LLMs.

Claude Fable 5 vs Qwen3.7 Max Claude Fable 5 vs DeepSeek V4 Pro GPT-5.6 Sol vs Qwen3.7 Max GPT-5.6 Sol vs DeepSeek V4 Pro Kimi K3 vs Qwen3.7 Max Kimi K3 vs DeepSeek V4 Pro Claude Opus 4.8 vs Qwen3.7 Max Claude Opus 4.8 vs DeepSeek V4 Pro Grok 4.5 vs Qwen3.7 Max Grok 4.5 vs DeepSeek V4 Pro

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.