Compare/Gemma 4 E2B (Reasoning) vs GPT-5.5 (high)

Gemma 4 E2B (Reasoning)vsGPT-5.5 (high)

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

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Gemma 4 E2B (Reasoning)

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

GPT-5.5 (high)

Input
$5/M
Output
$30/M
Speed
63 tok/s
TTFT
22.85s

Winner by Category

Cheaper
Gemma 4 E2B (Reasoning)
Faster (tok/s)
GPT-5.5 (high)
Lower Latency
Gemma 4 E2B (Reasoning)
Benchmarks (0-7)
GPT-5.5 (high)

Pricing Comparison

MetricGemma 4 E2B (Reasoning)GPT-5.5 (high)
Input ($/M tokens)$0$5
Output ($/M tokens)$0$30
Cost for 1M input + 100K output tokens:
Gemma 4 E2B (Reasoning)$0.00
GPT-5.5 (high)$8.00

Speed Comparison

Output Speed (tokens/s) — higher is better
Gemma 4 E2B (Reasoning)
GPT-5.5 (high)
63 tok/s
Time to First Token (seconds) — lower is better
Gemma 4 E2B (Reasoning)
GPT-5.5 (high)
22.85s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
15.258.9
Coding Index
9.058.5
Math Index
GPQA Diamond
43.3%93.2%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
4.8%43.0%
SciCode
20.9%55.9%
IFBench
38.0%71.6%
TerminalBench
3.0%59.8%
Gemma 4 E2B (Reasoning)0 wins
7 winsGPT-5.5 (high)

Frequently Asked Questions

Which is cheaper, Gemma 4 E2B (Reasoning) or GPT-5.5 (high)?

Gemma 4 E2B (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 (high).

Which model performs better on benchmarks?

GPT-5.5 (high) wins 7 out of 12 benchmarks compared to 0 for Gemma 4 E2B (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.5 (high) generates tokens faster at 63 tok/s vs 0 tok/s. Gemma 4 E2B (Reasoning) also has lower time-to-first-token (0.00s vs 22.85s).

When should I use Gemma 4 E2B (Reasoning) vs GPT-5.5 (high)?

Choose based on your priorities: Gemma 4 E2B (Reasoning) for lower cost, GPT-5.5 (high) for stronger benchmark performance, and GPT-5.5 (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.