LLM Comparison

DeepSeek V4 Pro 0813 vs Qwen3.7 Max: benchmark scores, pricing & comparison.

Side-by-side DeepSeek V4 Pro 0813 vs Qwen3.7 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.

Rank #15 vs #16AskClash overall scores 61.1 vs 57.1.
Pricing $0.43/$0.87 vs $2.50/$7.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryDeepSeek vs Alibaba.

DeepSeek V4 Pro 0813 vs Qwen3.7 Max benchmark comparison

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

MetricDeepSeek V4 Pro 0813Qwen3.7 Max
Overall Score61.157.1
Leaderboard Rank#15#16
ACB54.7
RWT7.07.5
HLE42.741.4
GPQA90.192.4
IFEval94.3
SWE-bench80.680.4
SWE-Pro55.4
Terminal-Bench87.969.7
DeepSWE62.7
MCP Atlas73.676.4
Finance Agent48.4
Tau294.7
MRCR90.4
Input Price (per 1M tokens)$0.43$2.50
Output Price (per 1M tokens)$0.87$7.50
Context Window1M1M
Benchmarks Published911

DeepSeek V4 Pro 0813 vs Qwen3.7 Max head-to-head charts

DeepSeek V4 Pro 0813 leads 4 and Qwen3.7 Max leads 3 of 7 shared benchmarks. DeepSeek V4 Pro 0813 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4 Pro 0813Qwen3.7 Max
Overall
61.1DeepSeek V4 Pro 0813
57.1Qwen3.7 Max
RWT
7.0DeepSeek V4 Pro 0813
7.5Qwen3.7 Max
HLE
42.7DeepSeek V4 Pro 0813
41.4Qwen3.7 Max
GPQA
90.1DeepSeek V4 Pro 0813
92.4Qwen3.7 Max
SWE-bench
80.6DeepSeek V4 Pro 0813
80.4Qwen3.7 Max
Terminal-Bench
87.9DeepSeek V4 Pro 0813
69.7Qwen3.7 Max
MCP Atlas
73.6DeepSeek V4 Pro 0813
76.4Qwen3.7 Max
DeepSeek V4 Pro 0813
Input$0.43
Output$0.87
Workload$0.61
Context1M
Qwen3.7 Max
Input$2.50
Output$7.50
Workload$4.00
Context1M

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

More DeepSeek V4 Pro 0813 and Qwen3.7 Max comparisons

Explore how DeepSeek V4 Pro 0813 and Qwen3.7 Max 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.