gemma-4-26B-A4B-it vs Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF

Specs, VRAM requirements and download trends — updated 10 November 2026.

google · A · Open weights
Params
26.5 B
Context
—
30d
5.5 M
apache-2.0 · commercial OK
DavidAU · B · Open weights
Params
27.0 B
Context
—
30d
1.0 M
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification gemma-4-26B-A4B-it Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF
Deployment Open weights · also via API Open weights
Parameters 26.5 B 27.0 B
Architecture Gemma4ForConditionalGeneration —
Context length 256,000 —
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — 16
Downloads 30d 5,506,751 1,008,853
Downloads all time 75.5 M 1.0 M
Quantizations on the Hub SAFETENSORS GGUF
Gated No No
First seen on the Hub 2026-03-11 2026-09-29
API input price / 1M tokens $0.08 not on OpenRouter
API output price / 1M tokens $0.10 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.18 not on OpenRouter
Cached input / 1M tokens $0.046 not on OpenRouter
AA Intelligence Index — not on OpenRouter
AA Coding Index 39.3 not on OpenRouter
AA Agentic Index 2.9 not on OpenRouter
Max output tokens 128,000 not on OpenRouter
API providers 15 not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode Yes not on OpenRouter

API cost

Estimated cost of 1M input + 1M output tokens via OpenRouter

gemma-4-26B-A4B-it $0.18

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

13.1 M884 K
gemma-4-26B-A4B-it Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF · Q4_K_M 24.9 GB / 24 GB
❌ Won’t fit
gemma-4-26B-A4B-it · fp16 61.3 GB / 24 GB
❌ Won’t fit

Adjacent comparisons