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Gemma 4 26B A4B vs GPT-5

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemma 4 26B A4B and GPT-5.

Google

Gemma 4 26B A4B

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference β€” delivering near-31B quality at...

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OpenAI

GPT-5

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...

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Technical Specifications

SpecificationGemma 4 26B A4BGPT-5
ProviderGoogleOpenAI
Context Window262,144 tokens400,000 tokens
Agent SuitabilityN/A92/100
Time to First Token (TTFT)N/A320 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-032025-08-07

API Pricing Comparison

Input Price per Million Tokens

Gemma 4 26B A4B

$0.06

GPT-5

$1.25

Output Price per Million Tokens

Gemma 4 26B A4B

$0.33

GPT-5

$10.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
N/Avs9210.0%
Gemma 4 26B A4B
GPT-5
HumanEvalPython coding & logic synthesis
N/Avs9400.0%
Gemma 4 26B A4B
GPT-5
MATHComplex mathematical problem solving
N/Avs8950.0%
Gemma 4 26B A4B
GPT-5
GPQAGraduate-level expert reasoning
N/Avs7950.0%
Gemma 4 26B A4B
GPT-5
HellaSwagCommonsense reasoning and inference
N/Avs9850.0%
Gemma 4 26B A4B
GPT-5
MT-BenchMulti-turn conversation flow quality
N/Avs950.0%
Gemma 4 26B A4B
GPT-5

Gemma 4 26B A4B Quirks & Gotchas

No developer gotchas reported.

GPT-5 Quirks & Gotchas

  • β–ΈReliable all-rounder β€” use as default for most production workflows
  • β–ΈNot recommended for advanced reasoning chains β€” use o3-mini instead