LLM Comparison

Qwen3.7 Max vs DeepSeek V4 Flash Vision Exp: benchmark scores, pricing & comparison.

Side-by-side Qwen3.7 Max vs DeepSeek V4 Flash Vision Exp 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 #20 vs #31AskClash overall scores 62.0 vs 55.9.
Pricing $2.50/$7.50 vs $0.14/$0.28Input and output token prices per 1M tokens when published.
Proprietary vs APIAlibaba vs DeepSeek.

Qwen3.7 Max vs DeepSeek V4 Flash Vision Exp benchmark comparison

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

MetricQwen3.7 MaxDeepSeek V4 Flash Vision Exp
Overall Score62.055.9
Leaderboard Rank#20#31
ACB58.6
RWT7.5
HLE41.4
GPQA92.4
IFEval94.3
SWE-bench80.4
Terminal-Bench69.783.9
DeepSWE59.3
GDPval-AA1546.0
MCP Atlas76.4
Finance Agent48.4
Tau294.7
MRCR90.4
Input Price (per 1M tokens)$2.50$0.14
Output Price (per 1M tokens)$7.50$0.28
Context Window1M1M
Benchmarks Published113

Qwen3.7 Max vs DeepSeek V4 Flash Vision Exp head-to-head charts

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

Qwen3.7 MaxDeepSeek V4 Flash Vision Exp
Overall
62.0Qwen3.7 Max
55.9DeepSeek V4 Flash Vision Exp
Terminal-Bench
69.7Qwen3.7 Max
83.9DeepSeek V4 Flash Vision Exp
Qwen3.7 Max
Input$2.50
Output$7.50
Workload$4.00
Context1M
DeepSeek V4 Flash Vision Exp
Input$0.14
Output$0.28
Workload$0.20
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 Flash Vision Exp comparisons

Explore how Qwen3.7 Max and DeepSeek V4 Flash Vision Exp 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.