Gemma 4 26B-A4B: API Pricing, Context Window & Benchmarks
Gemma 4 26B-A4B is a language model from Google, released in April 2026, with multimodal input, a 262K-token context window, and pricing from $0.130/M input and $0.400/M output.
Gemma 4 26B-A4B is Google DeepMind's Mixture-of-Experts multimodal model with 26 billion total parameters and 3.8 billion activated parameters per token, with a 256K context window. Ranks #6 among open models on Arena AI, outcompeting
Gemma 4 26B-A4B benchmarks
Capability tiers
Standing within each category, adjusted for leaderboard depth.
Real tasks performance
High-confidence performance for Gemma 4 26B-A4B across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.
Performance by conversation depth
How Gemma 4 26B-A4B holds up as conversations get longer.
Quality Tracker
Gemma 4 26B-A4B Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Mon Sep 07 2026Gemma 4 26B-A4B pricing
Providers
Gemma 4 26B-A4B starts at $0.130 per million input tokens and $0.400 per million output tokens via Novita.
| Provider | Input $/M | Cached input $/M | Output $/M | Context in / out | TTFT p95 s | Output p5 c/s | Modalities in / out |
|---|---|---|---|---|---|---|---|
 Novita | $0.130 | — | $0.400 | 262.1K/131.1K | 5.44 | 74 | / |
Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.
Gemma 4 26B-A4B model size
Gemma 4 26B-A4B has 25.2 billion parameters. See how it compares to other models in the same parameter range.
Gemma 4 26B-A4B context window
Input and output token limits for Gemma 4 26B-A4B, plus how it ranks on long-context understanding.
Gemma 4 26B-A4B API
Run a request to see the response
Use it in your code
Billed at $0.13 input / $0.40 output per 1M tokens through the LLM Stats gateway.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://gateway.llm-stats.com/v1"
)
response = client.chat.completions.create(
model="gemma-4-26b-a4b-it",
messages=[
{"role": "user", "content": "What is machine learning?"}
]
)
print(response.choices[0].message.content)Need an API key? Create one above in the playground, or read the API documentation.
Gemma 4 26B-A4B latency
Gemma 4 26B-A4B time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Provider operational metrics
Time to first token, output throughput, and failed-request rate from live API traffic
Gemma 4 26B-A4B examples
Recent arena outputs from Gemma 4 26B-A4B, picked from the highest-ranked matchups.
Gemma 4 26B-A4B license
Gemma 4 26B-A4B is released under the Apache 2.0 license, which permits commercial use, has 25.2B parameters, has a knowledge cutoff of January 2025.
- License
- Apache 2.0
- Commercial use allowed
- Parameters
- 25.2B
- Knowledge cutoff
- January 2025
Apache License 2.0 - allows commercial use
Gemma 4 26B-A4B resources
Official sources for Gemma 4 26B-A4B: api documentation, official playground, official launch post, model weights.
Gemma 4 26B-A4B vs other models
The most-compared alternatives to Gemma 4 26B-A4B are Kimi K2 0905, LongCat-Flash-Thinking, LongCat-Flash-Chat. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Gemma 4 26B-A4B
Models ranked just above and below Gemma 4 26B-A4B by LLM Stats score.
FAQ
Common questions about Gemma 4 26B-A4B.