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Gemma 4 26B A4B vs Step 3.5 Flash

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 Step 3.5 Flash.

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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StepFun

Step 3.5 Flash

Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token....

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Technical Specifications

SpecificationGemma 4 26B A4BStep 3.5 Flash
ProviderGoogleStepFun
Context Window262,144 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-032026-01-29

API Pricing Comparison

Input Price per Million Tokens

Gemma 4 26B A4B

$0.06

Step 3.5 Flash

$0.10

Output Price per Million Tokens

Gemma 4 26B A4B

$0.33

Step 3.5 Flash

$0.30

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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.

Gemma 4 26B A4B Quirks & Gotchas

No developer gotchas reported.

Step 3.5 Flash Quirks & Gotchas

No developer gotchas reported.