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

Qwen3.5 397B A17B (Reasoning)vsDeepSeek V4 Pro (Reasoning, Max Effort)

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

Alibaba

Qwen3.5 397B A17B (Reasoning)

Input
$0.6/M
Output
$3.6/M
Speed
52 tok/s
TTFT
1.81s
DeepSeek

DeepSeek V4 Pro (Reasoning, Max Effort)

Input
$1.74/M
Output
$3.48/M
Speed
31 tok/s
TTFT
1.19s

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 (2-5)
DeepSeek V4 Pro (Reasoning, Max Effort)

Pricing Comparison

MetricQwen3.5 397B A17B (Reasoning)DeepSeek V4 Pro (Reasoning, Max Effort)
Input ($/M tokens)$0.6$1.74
Output ($/M tokens)$3.6$3.48
Cost for 1M input + 100K output tokens:
Qwen3.5 397B A17B (Reasoning)$0.96
DeepSeek V4 Pro (Reasoning, Max Effort)$2.09

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.5 397B A17B (Reasoning)
52 tok/s
DeepSeek V4 Pro (Reasoning, Max Effort)
31 tok/s
Time to First Token (seconds) — lower is better
Qwen3.5 397B A17B (Reasoning)
1.81s
DeepSeek V4 Pro (Reasoning, Max Effort)
1.19s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
45.051.5
Coding Index
41.347.5
Math Index
GPQA Diamond
89.3%88.8%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
27.3%35.9%
SciCode
42.0%50.0%
IFBench
78.8%76.5%
TerminalBench
40.9%46.2%
Qwen3.5 397B A17B (Reasoning)2 wins
5 winsDeepSeek V4 Pro (Reasoning, Max Effort)

Frequently Asked Questions

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

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 31 tok/s. However, DeepSeek V4 Pro (Reasoning, Max Effort) has lower time-to-first-token (1.19s vs 1.81s).

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

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.