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

Jamba 1.7 MinivsGPT-5.4 nano (medium)

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 (medium)

Input
$0.2/M
Output
$1.25/M
Speed
171 tok/s
TTFT
2.38s

Winner by Category

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

Pricing Comparison

MetricJamba 1.7 MiniGPT-5.4 nano (medium)
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 (medium)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
Jamba 1.7 Mini
GPT-5.4 nano (medium)
171 tok/s
Time to First Token (seconds) — lower is better
Jamba 1.7 Mini
GPT-5.4 nano (medium)
2.38s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
8.138.1
Coding Index
3.135.0
Math Index
0.3
GPQA Diamond
32.2%76.1%
MMLU-Pro
38.8%
LiveCodeBench
6.1%
AIME 2025
0.3%
MATH-500
25.8%
Humanity's Last Exam
4.5%14.7%
SciCode
9.3%38.4%
IFBench
31.4%64.4%
TerminalBench
0.0%33.3%
Jamba 1.7 Mini5 wins
7 winsGPT-5.4 nano (medium)

Frequently Asked Questions

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

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 (medium).

Which model performs better on benchmarks?

GPT-5.4 nano (medium) 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 (medium) generates tokens faster at 171 tok/s vs 0 tok/s. Jamba 1.7 Mini also has lower time-to-first-token (0.00s vs 2.38s).

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

Choose based on your priorities: Jamba 1.7 Mini for lower cost, GPT-5.4 nano (medium) for stronger benchmark performance, and GPT-5.4 nano (medium) for faster generation. For latency-sensitive apps, check the TTFT comparison above.