โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Gemma 4 26B A4B vs Kimi K2 0905

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 Kimi K2 0905.

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...

View Full Specs
Moonshot AI

Kimi K2 0905

Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...

View Full Specs

Technical Specifications

SpecificationGemma 4 26B A4BKimi K2 0905
ProviderGoogleMoonshot AI
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 Date2026-04-032025-09-04

API Pricing Comparison

Input Price per Million Tokens

Gemma 4 26B A4B

$0.06

Kimi K2 0905

$0.60

Output Price per Million Tokens

Gemma 4 26B A4B

$0.33

Kimi K2 0905

$2.50

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.

Gemma 4 26B A4B Quirks & Gotchas

No developer gotchas reported.

Kimi K2 0905 Quirks & Gotchas

No developer gotchas reported.