Compare/DeepSeek V4 Pro (Reasoning, Max Effort) vs Qwen3.5 397B A17B (Reasoning)

DeepSeek V4 Pro (Reasoning, Max Effort)vsQwen3.5 397B A17B (Reasoning)

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

DeepSeek

DeepSeek V4 Pro (Reasoning, Max Effort)

Input
$1.74/M
Output
$3.48/M
Speed
29 tok/s
TTFT
1.15s
Alibaba

Qwen3.5 397B A17B (Reasoning)

Input
$0.6/M
Output
$3.6/M
Speed
52 tok/s
TTFT
1.90s

Winner by Category

Cheaper
Qwen3.5 397B A17B (Reasoning)
Faster (tok/s)
Qwen3.5 397B A17B (Reasoning)
Lower Latency
DeepSeek V4 Pro (Reasoning, Max Effort)
Benchmarks (5-2)
DeepSeek V4 Pro (Reasoning, Max Effort)

Pricing Comparison

MetricDeepSeek V4 Pro (Reasoning, Max Effort)Qwen3.5 397B A17B (Reasoning)
Input ($/M tokens)$1.74$0.6
Output ($/M tokens)$3.48$3.6
Cost for 1M input + 100K output tokens:
DeepSeek V4 Pro (Reasoning, Max Effort)$2.09
Qwen3.5 397B A17B (Reasoning)$0.96

Speed Comparison

Output Speed (tokens/s) — higher is better
DeepSeek V4 Pro (Reasoning, Max Effort)
29 tok/s
Qwen3.5 397B A17B (Reasoning)
52 tok/s
Time to First Token (seconds) — lower is better
DeepSeek V4 Pro (Reasoning, Max Effort)
1.15s
Qwen3.5 397B A17B (Reasoning)
1.90s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
51.545.0
Coding Index
47.541.3
Math Index
GPQA Diamond
88.8%89.3%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
35.9%27.3%
SciCode
50.0%42.0%
IFBench
76.5%78.8%
TerminalBench
46.2%40.9%
DeepSeek V4 Pro (Reasoning, Max Effort)5 wins
2 winsQwen3.5 397B A17B (Reasoning)

Frequently Asked Questions

Which is cheaper, DeepSeek V4 Pro (Reasoning, Max Effort) or Qwen3.5 397B A17B (Reasoning)?

Qwen3.5 397B A17B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.35/M tokens vs $2.17/M for DeepSeek V4 Pro (Reasoning, Max Effort).

Which model performs better on benchmarks?

DeepSeek V4 Pro (Reasoning, Max Effort) wins 5 out of 12 benchmarks compared to 2 for Qwen3.5 397B A17B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Qwen3.5 397B A17B (Reasoning) generates tokens faster at 52 tok/s vs 29 tok/s. DeepSeek V4 Pro (Reasoning, Max Effort) also has lower time-to-first-token (1.15s vs 1.90s).

When should I use DeepSeek V4 Pro (Reasoning, Max Effort) vs Qwen3.5 397B A17B (Reasoning)?

Choose based on your priorities: Qwen3.5 397B A17B (Reasoning) for lower cost, DeepSeek V4 Pro (Reasoning, Max Effort) for stronger benchmark performance, and Qwen3.5 397B A17B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.