compare/Gemma-4-26b-A4b-ITvsGemma-7b-IT

Gemma-4-26b-A4b-IT vs Gemma-7b-IT

Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

RUN BOTH LIVE

Paste a prompt. Watch them race.

Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.

Sign in to runLive streaming uses your own key. It's free to sign up.
 Gemma-4-26b-A4b-IT
google/gemma-4-26b-a4b-it
Gemma-7b-IT
hf/google/gemma-7b-it
ProviderGoogleHugging Face
FamilyGemmaGemma
Modalitytexttext
Context window256,000 tok8,192 tok
Max output4,096 tok4,096 tok
Released2026-04-022024-04-01
Input price$0.100 /1M$0.080 /1M
Output price$0.300 /1M$0.160 /1M
Cache read——
Toolsyes—
Streamingyesyes
Visionyes—
JSON modeyes—
Reasoningyes—
Prompt caching——
Gemma-4-26b-A4b-IT
google/gemma-4-26b-a4b-it
Full spec →

Gemma 4 is Google's most intelligent family of open models, built from Gemini 3 research to maximize intelligence-per-parameter.

Strengths
  • Step-by-step reasoning
  • Chain-of-thought
Gemma-7b-IT
hf/google/gemma-7b-it
Full spec →

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. They are text-to-text, decoder-only large language models, available in English, with open weights, pre-trained variants, and instruction-tuned variants.

Strengths
  • General-purpose chat
  • Open-weight
SWITCH BETWEEN THEM

One key, both models, one line different.

# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# Try Gemma-4-26b-A4b-IT
client.chat.completions.create(
    model="google/gemma-4-26b-a4b-it",
    messages=[{"role":"user","content":"hello"}],
)

# Try Gemma-7b-IT — same client, same key
client.chat.completions.create(
    model="hf/google/gemma-7b-it",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyAdd a third model

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