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

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

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

DeepSeek

DeepSeek V4 Pro (Reasoning, High Effort)

Input
$1.74/M
Output
$3.48/M
Speed
30 tok/s
TTFT
1.10s
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, High Effort)
Benchmarks (6-1)
DeepSeek V4 Pro (Reasoning, High Effort)

Pricing Comparison

MetricDeepSeek V4 Pro (Reasoning, High 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, High Effort)$2.09
Qwen3.5 397B A17B (Reasoning)$0.96

Speed Comparison

Output Speed (tokens/s) — higher is better
DeepSeek V4 Pro (Reasoning, High Effort)
30 tok/s
Qwen3.5 397B A17B (Reasoning)
52 tok/s
Time to First Token (seconds) — lower is better
DeepSeek V4 Pro (Reasoning, High Effort)
1.10s
Qwen3.5 397B A17B (Reasoning)
1.90s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
49.845.0
Coding Index
43.241.3
Math Index
GPQA Diamond
90.5%89.3%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
33.5%27.3%
SciCode
46.4%42.0%
IFBench
71.3%78.8%
TerminalBench
41.7%40.9%
DeepSeek V4 Pro (Reasoning, High Effort)6 wins
1 winsQwen3.5 397B A17B (Reasoning)

Frequently Asked Questions

Which is cheaper, DeepSeek V4 Pro (Reasoning, High 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, 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 52 tok/s vs 30 tok/s. DeepSeek V4 Pro (Reasoning, High Effort) also has lower time-to-first-token (1.10s vs 1.90s).

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

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.