Gemma 4 26B A4B is a mixture-of-experts build of Google's Gemma 4 family (26B total parameters, about 4B active per token) with a 262K-token context window and text + image input. Preserves the base model's reasoning, multilingual performance, and multimodal understanding. The Balanced variant is recommended for most workloads: consistent sampling, stable long-context behaviour, and reduced topic drift across extended conversations. The model may occasionally frame its reasoning briefly before giving the full response. Well suited for creative writing, roleplay, multilingual assistants, long-context reasoning, and general-purpose AI applications where quality, coherence, and reliability are the primary priorities.
OpenAI-compatible — keep the SDK you already use
https://api.orcarouter.ai/v1import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.orcarouter.ai/v1",
api_key=os.environ["ORCAROUTER_API_KEY"],
)
response = client.chat.completions.create(
model="obsidian/gemma-4-26B-A4B",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)include_reasoningreasoningmax_tokenstemperaturetop_ptop_kmin_ppresence_penaltyfrequency_penaltystopseedresponse_formatstructured_outputstoolstool_choice| Input / 1M tokens | $0.250 |
|---|---|
| Output / 1M tokens | $2.90 |
| Currency | USD |
Estimate based on list price
Estimate only — actual token counts depend on the provider's tokenizer.
What developers are saying this week
GET /api/public/models/obsidian/gemma-4-26b-a4bOpen @misc{orcarouter_gemma_4_26b_a4b,
title = {Gemma 4 26B A4B API},
author = {obsidian},
year = {2026},
howpublished = {OrcaRouter},
url = {https://www.orcarouter.ai/models/obsidian/gemma-4-26b-a4b}
}obsidian. (2026). Gemma 4 26B A4B API. OrcaRouter. https://www.orcarouter.ai/models/obsidian/gemma-4-26b-a4b