Compare/DeepSeek V4 Pro (Reasoning, High Effort) vs GPT-5.5 (Non-reasoning)

DeepSeek V4 Pro (Reasoning, High Effort)vsGPT-5.5 (Non-reasoning)

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

DeepSeek

DeepSeek V4 Pro (Reasoning, High Effort)

Input
$0/M
Output
$0/M
Speed
TTFT
OpenAI

GPT-5.5 (Non-reasoning)

Input
$5/M
Output
$30/M
Speed
TTFT

Winner by Category

Cheaper
DeepSeek V4 Pro (Reasoning, High Effort)
Faster (tok/s)
Tie
Lower Latency
Tie
Benchmarks (3-4)
GPT-5.5 (Non-reasoning)

Pricing Comparison

MetricDeepSeek V4 Pro (Reasoning, High Effort)GPT-5.5 (Non-reasoning)
Input ($/M tokens)$0$5
Output ($/M tokens)$0$30
Cost for 1M input + 100K output tokens:
DeepSeek V4 Pro (Reasoning, High Effort)$0.00
GPT-5.5 (Non-reasoning)$8.00

Speed Comparison

Speed data not available for these models.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
40.9
Coding Index
48.6
Math Index
GPQA Diamond
90.5%76.8%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
33.5%12.6%
SciCode
46.4%47.3%
IFBench
71.3%46.1%
TerminalBench
49.2%
DeepSeek V4 Pro (Reasoning, High Effort)3 wins
4 winsGPT-5.5 (Non-reasoning)

Frequently Asked Questions

Which is cheaper, DeepSeek V4 Pro (Reasoning, High Effort) or GPT-5.5 (Non-reasoning)?

DeepSeek V4 Pro (Reasoning, High Effort) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $11.25/M for GPT-5.5 (Non-reasoning).

Which model performs better on benchmarks?

GPT-5.5 (Non-reasoning) wins 4 out of 12 benchmarks compared to 3 for DeepSeek V4 Pro (Reasoning, High Effort). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Both models have comparable generation speeds.

When should I use DeepSeek V4 Pro (Reasoning, High Effort) vs GPT-5.5 (Non-reasoning)?

Choose based on your priorities: DeepSeek V4 Pro (Reasoning, High Effort) for lower cost, GPT-5.5 (Non-reasoning) for stronger benchmark performance, and both have comparable speed. For latency-sensitive apps, check the TTFT comparison above.