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Gemma 4 26B A4B vs R1

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 R1.

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 โ€” delivering near-31B quality at...

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DeepSeek

R1

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

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Technical Specifications

SpecificationGemma 4 26B A4BR1
ProviderGoogleDeepSeek
Context Window262,144 tokens163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-032025-01-20

API Pricing Comparison

Input Price per Million Tokens

Gemma 4 26B A4B

$0.06

R1

$0.70

Output Price per Million Tokens

Gemma 4 26B A4B

$0.33

R1

$2.50

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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/Avs9080.0%
Gemma 4 26B A4B
R1
HumanEvalPython coding & logic synthesis
N/Avs9280.0%
Gemma 4 26B A4B
R1
MATHComplex mathematical problem solving
N/Avs9310.0%
Gemma 4 26B A4B
R1
GPQAGraduate-level expert reasoning
N/Avs6210.0%
Gemma 4 26B A4B
R1
HellaSwagCommonsense reasoning and inference
N/Avs9050.0%
Gemma 4 26B A4B
R1
MT-BenchMulti-turn conversation flow quality
N/Avs935.0%
Gemma 4 26B A4B
R1

Gemma 4 26B A4B Quirks & Gotchas

No developer gotchas reported.

R1 Quirks & Gotchas

No developer gotchas reported.