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

Qwen3.5 397B A17B (Reasoning)vsDeepSeek V4 Pro (Reasoning, High 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
51 tok/s
TTFT
1.85s
DeepSeek

DeepSeek V4 Pro (Reasoning, High Effort)

Input
$1.74/M
Output
$3.48/M
Speed
31 tok/s
TTFT
1.06s

Winner by Category

Cheaper
Qwen3.5 397B A17B (Reasoning)
Faster (tok/s)
Qwen3.5 397B A17B (Reasoning)
Lower Latency
DeepSeek V4 Pro (Reasoning, High Effort)
Benchmarks (1-6)
DeepSeek V4 Pro (Reasoning, High Effort)

Pricing Comparison

MetricQwen3.5 397B A17B (Reasoning)DeepSeek V4 Pro (Reasoning, High 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, High Effort)$2.09

Speed Comparison

Output Speed (tokens/s) — higher is better
Qwen3.5 397B A17B (Reasoning)
51 tok/s
DeepSeek V4 Pro (Reasoning, High Effort)
31 tok/s
Time to First Token (seconds) — lower is better
Qwen3.5 397B A17B (Reasoning)
1.85s
DeepSeek V4 Pro (Reasoning, High Effort)
1.06s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
45.049.8
Coding Index
41.343.2
Math Index
GPQA Diamond
89.3%90.5%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
27.3%33.5%
SciCode
42.0%46.4%
IFBench
78.8%71.3%
TerminalBench
40.9%41.7%
Qwen3.5 397B A17B (Reasoning)1 wins
6 winsDeepSeek V4 Pro (Reasoning, High Effort)

Frequently Asked Questions

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

Which model performs better on benchmarks?

DeepSeek V4 Pro (Reasoning, High Effort) wins 6 out of 12 benchmarks compared to 1 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 51 tok/s vs 31 tok/s. However, DeepSeek V4 Pro (Reasoning, High Effort) has lower time-to-first-token (1.06s vs 1.85s).

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

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