Compare/Jamba 1.7 Mini vs gpt-oss-20B (high)

Jamba 1.7 Minivsgpt-oss-20B (high)

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-oss-20B (high)

Input
$0.05/M
Output
$0.2/M
Speed
256 tok/s
TTFT
0.34s

Winner by Category

Cheaper
Jamba 1.7 Mini
Faster (tok/s)
gpt-oss-20B (high)
Lower Latency
Jamba 1.7 Mini
Benchmarks (1-11)
gpt-oss-20B (high)

Pricing Comparison

MetricJamba 1.7 Minigpt-oss-20B (high)
Input ($/M tokens)$0$0.05
Output ($/M tokens)$0$0.2
Cost for 1M input + 100K output tokens:
Jamba 1.7 Mini$0.00
gpt-oss-20B (high)$0.07

Speed Comparison

Output Speed (tokens/s) — higher is better
Jamba 1.7 Mini
gpt-oss-20B (high)
256 tok/s
Time to First Token (seconds) — lower is better
Jamba 1.7 Mini
gpt-oss-20B (high)
0.34s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
8.124.5
Coding Index
3.118.5
Math Index
0.389.3
GPQA Diamond
32.2%68.8%
MMLU-Pro
38.8%74.8%
LiveCodeBench
6.1%77.7%
AIME 2025
0.3%89.3%
MATH-500
25.8%
Humanity's Last Exam
4.5%9.8%
SciCode
9.3%34.4%
IFBench
31.4%65.1%
TerminalBench
0.0%10.6%
Jamba 1.7 Mini1 wins
11 winsgpt-oss-20B (high)

Frequently Asked Questions

Which is cheaper, Jamba 1.7 Mini or gpt-oss-20B (high)?

Jamba 1.7 Mini is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.09/M for gpt-oss-20B (high).

Which model performs better on benchmarks?

gpt-oss-20B (high) wins 11 out of 12 benchmarks compared to 1 for Jamba 1.7 Mini. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

gpt-oss-20B (high) generates tokens faster at 256 tok/s vs 0 tok/s. Jamba 1.7 Mini also has lower time-to-first-token (0.00s vs 0.34s).

When should I use Jamba 1.7 Mini vs gpt-oss-20B (high)?

Choose based on your priorities: Jamba 1.7 Mini for lower cost, gpt-oss-20B (high) for stronger benchmark performance, and gpt-oss-20B (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.