Compare/Gemma 4 12B (Reasoning) vs GPT-5.5 (medium)

Gemma 4 12B (Reasoning)vsGPT-5.5 (medium)

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

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Gemma 4 12B (Reasoning)

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

GPT-5.5 (medium)

Input
$5/M
Output
$30/M
Speed
49 tok/s
TTFT
9.05s

Winner by Category

Cheaper
Gemma 4 12B (Reasoning)
Faster (tok/s)
GPT-5.5 (medium)
Lower Latency
Gemma 4 12B (Reasoning)
Benchmarks (1-6)
GPT-5.5 (medium)

Pricing Comparison

MetricGemma 4 12B (Reasoning)GPT-5.5 (medium)
Input ($/M tokens)$0$5
Output ($/M tokens)$0$30
Cost for 1M input + 100K output tokens:
Gemma 4 12B (Reasoning)$0.00
GPT-5.5 (medium)$8.00

Speed Comparison

Output Speed (tokens/s) — higher is better
Gemma 4 12B (Reasoning)
GPT-5.5 (medium)
49 tok/s
Time to First Token (seconds) — lower is better
Gemma 4 12B (Reasoning)
GPT-5.5 (medium)
9.05s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
29.256.7
Coding Index
24.956.2
Math Index
GPQA Diamond
75.3%92.6%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
14.8%40.6%
SciCode
38.2%53.5%
IFBench
73.5%71.0%
TerminalBench
18.2%57.6%
Gemma 4 12B (Reasoning)1 wins
6 winsGPT-5.5 (medium)

Frequently Asked Questions

Which is cheaper, Gemma 4 12B (Reasoning) or GPT-5.5 (medium)?

Gemma 4 12B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $11.25/M for GPT-5.5 (medium).

Which model performs better on benchmarks?

GPT-5.5 (medium) wins 6 out of 12 benchmarks compared to 1 for Gemma 4 12B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.5 (medium) generates tokens faster at 49 tok/s vs 0 tok/s. Gemma 4 12B (Reasoning) also has lower time-to-first-token (0.00s vs 9.05s).

When should I use Gemma 4 12B (Reasoning) vs GPT-5.5 (medium)?

Choose based on your priorities: Gemma 4 12B (Reasoning) for lower cost, GPT-5.5 (medium) for stronger benchmark performance, and GPT-5.5 (medium) for faster generation. For latency-sensitive apps, check the TTFT comparison above.