Google: Gemma 4 26B A4B

Public pricingIntelligence 80/100Large memoryVisionTool use

Google: Gemma 4 26B A4B is a multimodal model for vision-language understanding. It combines multimodal input handling and image understanding with a 262K tokens context window and a low-cost profile. Use it for image and video understanding when quality, speed, and cost matters. It is a practical choice for teams that need reliable output, flexible deployment, and room to scale.

Input

$0.08/1M

Output

$0.35/1M

Cached

$0.01/1M

Batch

$0.04/1M

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Technical specifications

Gemma 4 26B A4B at a glance.

Memory

262,144

tokens

Max reply

32,768

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

sentencepiece

Released

Apr 2026

Training cutoff

Oct 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu_pro

    82.6

  • aime_2025

    89

  • livecodebench

    77.1

  • aa_intelligence_index

    31

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Gemma 4 26B A4B

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Gemma 4 26B A4B — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Gemma 4 26B A4B costs roughly $20 per month. Input is $0.08 /1M tokens and output is $0.35 /1M tokens.
Gemma 4 26B A4B has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.
Beyond text generation, Gemma 4 26B A4B supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Gemma 4 26B A4B was released in April 2026, with training data cut off around October 2025.
Models in a similar class include Gemini 2.0 Flash Lite, Gemini 2.0 Flash, Gemini 2.5 Flash Lite. The "Similar models" section below this FAQ links into each.

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