Compare/DeepSeek-V2-Chat vs GPT-5.4 (Non-reasoning)

DeepSeek-V2-ChatvsGPT-5.4 (Non-reasoning)

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

DeepSeek

DeepSeek-V2-Chat

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

GPT-5.4 (Non-reasoning)

Input
$2.5/M
Output
$15/M
Speed
62 tok/s
TTFT
0.65s

Winner by Category

Cheaper
DeepSeek-V2-Chat
Faster (tok/s)
GPT-5.4 (Non-reasoning)
Lower Latency
DeepSeek-V2-Chat
Benchmarks (0-7)
GPT-5.4 (Non-reasoning)

Pricing Comparison

MetricDeepSeek-V2-ChatGPT-5.4 (Non-reasoning)
Input ($/M tokens)$0$2.5
Output ($/M tokens)$0$15
Cost for 1M input + 100K output tokens:
DeepSeek-V2-Chat$0.00
GPT-5.4 (Non-reasoning)$4.00

Speed Comparison

Output Speed (tokens/s) — higher is better
DeepSeek-V2-Chat
GPT-5.4 (Non-reasoning)
62 tok/s
Time to First Token (seconds) — lower is better
DeepSeek-V2-Chat
GPT-5.4 (Non-reasoning)
0.65s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
9.135.4
Coding Index
41.0
Math Index
GPQA Diamond
74.8%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
10.6%
SciCode
47.1%
IFBench
48.4%
TerminalBench
37.9%
DeepSeek-V2-Chat0 wins
7 winsGPT-5.4 (Non-reasoning)

Frequently Asked Questions

Which is cheaper, DeepSeek-V2-Chat or GPT-5.4 (Non-reasoning)?

DeepSeek-V2-Chat is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $5.63/M for GPT-5.4 (Non-reasoning).

Which model performs better on benchmarks?

GPT-5.4 (Non-reasoning) wins 7 out of 12 benchmarks compared to 0 for DeepSeek-V2-Chat. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 (Non-reasoning) generates tokens faster at 62 tok/s vs 0 tok/s. DeepSeek-V2-Chat also has lower time-to-first-token (0.00s vs 0.65s).

When should I use DeepSeek-V2-Chat vs GPT-5.4 (Non-reasoning)?

Choose based on your priorities: DeepSeek-V2-Chat for lower cost, GPT-5.4 (Non-reasoning) for stronger benchmark performance, and GPT-5.4 (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.