Compare/JT-35B-Flash vs GPT-5.4 (Non-reasoning)

JT-35B-FlashvsGPT-5.4 (Non-reasoning)

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

China Mobile

JT-35B-Flash

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

GPT-5.4 (Non-reasoning)

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

Winner by Category

Cheaper
JT-35B-Flash
Faster (tok/s)
GPT-5.4 (Non-reasoning)
Lower Latency
JT-35B-Flash
Benchmarks (2-5)
GPT-5.4 (Non-reasoning)

Pricing Comparison

MetricJT-35B-FlashGPT-5.4 (Non-reasoning)
Input ($/M tokens)$0$2.5
Output ($/M tokens)$0$15
Cost for 1M input + 100K output tokens:
JT-35B-Flash$0.00
GPT-5.4 (Non-reasoning)$4.00

Speed Comparison

Output Speed (tokens/s) — higher is better
JT-35B-Flash
GPT-5.4 (Non-reasoning)
61 tok/s
Time to First Token (seconds) — lower is better
JT-35B-Flash
GPT-5.4 (Non-reasoning)
0.65s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
36.135.4
Coding Index
28.941.0
Math Index
GPQA Diamond
82.9%74.8%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
6.1%10.6%
SciCode
29.1%47.1%
IFBench
42.0%48.4%
TerminalBench
28.8%37.9%
JT-35B-Flash2 wins
5 winsGPT-5.4 (Non-reasoning)

Frequently Asked Questions

Which is cheaper, JT-35B-Flash or GPT-5.4 (Non-reasoning)?

JT-35B-Flash 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 5 out of 12 benchmarks compared to 2 for JT-35B-Flash. 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 61 tok/s vs 0 tok/s. JT-35B-Flash also has lower time-to-first-token (0.00s vs 0.65s).

When should I use JT-35B-Flash vs GPT-5.4 (Non-reasoning)?

Choose based on your priorities: JT-35B-Flash 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.