Compare/Gemma 4 26B A4B (Reasoning) vs GPT-5 nano (high)

Gemma 4 26B A4B (Reasoning)vsGPT-5 nano (high)

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

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Gemma 4 26B A4B (Reasoning)

Input
$0.13/M
Output
$0.4/M
Speed
TTFT
OpenAI

GPT-5 nano (high)

Input
$0.05/M
Output
$0.4/M
Speed
159 tok/s
TTFT
72.48s

Winner by Category

Cheaper
GPT-5 nano (high)
Faster (tok/s)
GPT-5 nano (high)
Lower Latency
Gemma 4 26B A4B (Reasoning)
Benchmarks (7-4)
Gemma 4 26B A4B (Reasoning)

Pricing Comparison

MetricGemma 4 26B A4B (Reasoning)GPT-5 nano (high)
Input ($/M tokens)$0.13$0.05
Output ($/M tokens)$0.4$0.4
Cost for 1M input + 100K output tokens:
Gemma 4 26B A4B (Reasoning)$0.17
GPT-5 nano (high)$0.09

Speed Comparison

Output Speed (tokens/s) — higher is better
Gemma 4 26B A4B (Reasoning)
GPT-5 nano (high)
159 tok/s
Time to First Token (seconds) — lower is better
Gemma 4 26B A4B (Reasoning)
GPT-5 nano (high)
72.48s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
31.226.8
Coding Index
22.420.3
Math Index
83.7
GPQA Diamond
79.2%67.6%
MMLU-Pro
78.0%
LiveCodeBench
78.9%
AIME 2025
83.7%
MATH-500
Humanity's Last Exam
18.3%8.2%
SciCode
40.0%36.6%
IFBench
72.4%67.6%
TerminalBench
13.6%12.1%
Gemma 4 26B A4B (Reasoning)7 wins
4 winsGPT-5 nano (high)

Frequently Asked Questions

Which is cheaper, Gemma 4 26B A4B (Reasoning) or GPT-5 nano (high)?

GPT-5 nano (high) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.14/M tokens vs $0.20/M for Gemma 4 26B A4B (Reasoning).

Which model performs better on benchmarks?

Gemma 4 26B A4B (Reasoning) wins 7 out of 12 benchmarks compared to 4 for GPT-5 nano (high). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5 nano (high) generates tokens faster at 159 tok/s vs 0 tok/s. Gemma 4 26B A4B (Reasoning) also has lower time-to-first-token (0.00s vs 72.48s).

When should I use Gemma 4 26B A4B (Reasoning) vs GPT-5 nano (high)?

Choose based on your priorities: GPT-5 nano (high) for lower cost, Gemma 4 26B A4B (Reasoning) for stronger benchmark performance, and GPT-5 nano (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.