Compare/JT-35B-Flash vs GPT-5.4 nano (xhigh)

JT-35B-FlashvsGPT-5.4 nano (xhigh)

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 nano (xhigh)

Input
$0.2/M
Output
$1.25/M
Speed
147 tok/s
TTFT
3.00s

Winner by Category

Cheaper
JT-35B-Flash
Faster (tok/s)
GPT-5.4 nano (xhigh)
Lower Latency
JT-35B-Flash
Benchmarks (1-6)
GPT-5.4 nano (xhigh)

Pricing Comparison

MetricJT-35B-FlashGPT-5.4 nano (xhigh)
Input ($/M tokens)$0$0.2
Output ($/M tokens)$0$1.25
Cost for 1M input + 100K output tokens:
JT-35B-Flash$0.00
GPT-5.4 nano (xhigh)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
JT-35B-Flash
GPT-5.4 nano (xhigh)
147 tok/s
Time to First Token (seconds) — lower is better
JT-35B-Flash
GPT-5.4 nano (xhigh)
3.00s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
36.144.0
Coding Index
28.943.9
Math Index
GPQA Diamond
82.9%81.7%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
6.1%26.5%
SciCode
29.1%46.9%
IFBench
42.0%75.9%
TerminalBench
28.8%42.4%
JT-35B-Flash1 wins
6 winsGPT-5.4 nano (xhigh)

Frequently Asked Questions

Which is cheaper, JT-35B-Flash or GPT-5.4 nano (xhigh)?

JT-35B-Flash is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.46/M for GPT-5.4 nano (xhigh).

Which model performs better on benchmarks?

GPT-5.4 nano (xhigh) wins 6 out of 12 benchmarks compared to 1 for JT-35B-Flash. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 nano (xhigh) generates tokens faster at 147 tok/s vs 0 tok/s. JT-35B-Flash also has lower time-to-first-token (0.00s vs 3.00s).

When should I use JT-35B-Flash vs GPT-5.4 nano (xhigh)?

Choose based on your priorities: JT-35B-Flash for lower cost, GPT-5.4 nano (xhigh) for stronger benchmark performance, and GPT-5.4 nano (xhigh) for faster generation. For latency-sensitive apps, check the TTFT comparison above.