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Gemma 4 26B A4B fastruns locally
google/gemma-4-26b-a4b-it
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 — delivering near-31B quality at...
Input / 1M
$0.15
USD per million tokens
Output / 1M
$0.60
USD per million tokens
Est. cost / token
$0.000000262
$0.26 per 1M, 3:1 mix
Context window
262K
max output 33K
Major features
VisionOpen weightsCachingReasoningJSON schemaTools
Task suitability (heuristic 1–5, not a benchmark)
- coding3
- reasoning3
- math3
- summarization4
- extraction4
- classification4
- chat3
- creative3
- translation4
- vision3
- long context3
- agentic3
Run it locally
Will it run on my machine? →| Quantization | Quality | Memory needed (8K ctx) |
|---|---|---|
| Q2_K | poor | 13.7 GB |
| Q3_K_M | fair | 15.6 GB |
| Q4_K_Mrecommended | good | 18.9 GB |
| Q5_K_M | very good | 21.6 GB |
| Q6_K | excellent | 24.6 GB |
| Q8_0 | near-lossless | 31.1 GB |
| F16 | lossless | 56.5 GB |
Estimates. Mixture-of-experts: memory covers all parameters; only the active ones are used per token, so it runs faster than its size suggests.
Price history
| Recorded | Input | Output | Cached | Source |
|---|---|---|---|---|
| 2026-11-05 03:20 | $0.15 | $0.60 | $0.015 | litellm+openrouter |
A row is added whenever a sync detects a price change. Vendor pricing source
Pricing (USD per 1M tokens)
- Input
- $0.15
- Output
- $0.60
- Cached input
- $0.015
- Blended (3:1)
- $0.26
Details
- Company
- Version
- 4
- Family
- Gemma
- Released
- 2026-04-03
- Parameters
- 25.8B (4B active)
- Max output
- 33K
- Open weights
- Yes
- Inputs
- image, text, video
- Last synced
- 29 min ago