Compare/Granite 4.0 Micro vs gpt-oss-20B (low)

Granite 4.0 Microvsgpt-oss-20B (low)

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

IBM

Granite 4.0 Micro

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

gpt-oss-20B (low)

Input
$0.06/M
Output
$0.2/M
Speed
265 tok/s
TTFT
0.42s

Winner by Category

Cheaper
Granite 4.0 Micro
Faster (tok/s)
gpt-oss-20B (low)
Lower Latency
Granite 4.0 Micro
Benchmarks (0-10)
gpt-oss-20B (low)

Pricing Comparison

MetricGranite 4.0 Microgpt-oss-20B (low)
Input ($/M tokens)$0$0.06
Output ($/M tokens)$0$0.2
Cost for 1M input + 100K output tokens:
Granite 4.0 Micro$0.00
gpt-oss-20B (low)$0.08

Speed Comparison

Output Speed (tokens/s) — higher is better
Granite 4.0 Micro
gpt-oss-20B (low)
265 tok/s
Time to First Token (seconds) — lower is better
Granite 4.0 Micro
gpt-oss-20B (low)
0.42s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
7.720.8
Coding Index
5.014.4
Math Index
6.062.3
GPQA Diamond
33.6%61.1%
MMLU-Pro
44.7%71.8%
LiveCodeBench
18.0%65.2%
AIME 2025
6.0%62.3%
MATH-500
Humanity's Last Exam
5.1%5.1%
SciCode
11.9%34.0%
IFBench
24.8%57.8%
TerminalBench
1.5%4.5%
Granite 4.0 Micro0 wins
10 winsgpt-oss-20B (low)

Frequently Asked Questions

Which is cheaper, Granite 4.0 Micro or gpt-oss-20B (low)?

Granite 4.0 Micro is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.10/M for gpt-oss-20B (low).

Which model performs better on benchmarks?

gpt-oss-20B (low) wins 10 out of 12 benchmarks compared to 0 for Granite 4.0 Micro. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

gpt-oss-20B (low) generates tokens faster at 265 tok/s vs 0 tok/s. Granite 4.0 Micro also has lower time-to-first-token (0.00s vs 0.42s).

When should I use Granite 4.0 Micro vs gpt-oss-20B (low)?

Choose based on your priorities: Granite 4.0 Micro for lower cost, gpt-oss-20B (low) for stronger benchmark performance, and gpt-oss-20B (low) for faster generation. For latency-sensitive apps, check the TTFT comparison above.