Compare/Jamba 1.7 Mini vs GPT-5.4 nano (xhigh)

Jamba 1.7 MinivsGPT-5.4 nano (xhigh)

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

AI21 Labs

Jamba 1.7 Mini

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

GPT-5.4 nano (xhigh)

Input
$0.2/M
Output
$1.25/M
Speed
206 tok/s
TTFT
2.52s

Winner by Category

Cheaper
Jamba 1.7 Mini
Faster (tok/s)
GPT-5.4 nano (xhigh)
Lower Latency
Jamba 1.7 Mini
Benchmarks (5-7)
GPT-5.4 nano (xhigh)

Pricing Comparison

MetricJamba 1.7 MiniGPT-5.4 nano (xhigh)
Input ($/M tokens)$0$0.2
Output ($/M tokens)$0$1.25
Cost for 1M input + 100K output tokens:
Jamba 1.7 Mini$0.00
GPT-5.4 nano (xhigh)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
Jamba 1.7 Mini
GPT-5.4 nano (xhigh)
206 tok/s
Time to First Token (seconds) — lower is better
Jamba 1.7 Mini
GPT-5.4 nano (xhigh)
2.52s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
8.144.4
Coding Index
3.143.9
Math Index
0.3
GPQA Diamond
32.2%81.7%
MMLU-Pro
38.8%
LiveCodeBench
6.1%
AIME 2025
0.3%
MATH-500
25.8%
Humanity's Last Exam
4.5%26.5%
SciCode
9.3%46.9%
IFBench
31.4%75.9%
TerminalBench
0.0%42.4%
Jamba 1.7 Mini5 wins
7 winsGPT-5.4 nano (xhigh)

Frequently Asked Questions

Which is cheaper, Jamba 1.7 Mini or GPT-5.4 nano (xhigh)?

Jamba 1.7 Mini 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 7 out of 12 benchmarks compared to 5 for Jamba 1.7 Mini. 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 206 tok/s vs 0 tok/s. Jamba 1.7 Mini also has lower time-to-first-token (0.00s vs 2.52s).

When should I use Jamba 1.7 Mini vs GPT-5.4 nano (xhigh)?

Choose based on your priorities: Jamba 1.7 Mini 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.