Google: Gemma 4 26B A4B
by google
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...
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Benchmarking Google: Gemma 4 26B A4B
OpenClaw Benchmarks
PinchBench measures how Google: Gemma 4 26B A4B performs on real OpenClaw agent tasks: multi-step execution, tool use, recovery, latency, and cost.
Average score
#30 of 43 official models
Average time
15 runs · per OpenClaw task
Average cost
Per benchmark run
Autonomous task execution
Google: Gemma 4 26B A4B shows emerging average success across OpenClaw-style benchmark runs, useful for recurring research, browser, and file-based automations.
Tool use and recovery
PinchBench tasks stress multi-step planning, tool calls, and judge-verified completion rather than single prompt coding snippets.
Agent workflow fit
Its deliberate average runtime and premium run cost help set expectations for long-running KiloClaw agents and production workflows.
Compare the full OpenClaw leaderboard on PinchBench or run Google: Gemma 4 26B A4B in hosted OpenClaw agents with KiloClaw.
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Real-world usage statistics from the Kilo Code community
Weekly Token Usage
No ranking data available for this model yet.
Real-world metrics from the Kilo Code Leaderboard
Pricing
Cost per 1 million tokens
Example Cost
Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0057
Coding Capabilities
Features and parameters relevant to coding tasks
Coding Features
Pricing details from OpenRouter
Technical Details
Architecture and implementation specifications
- Model ID
- google/gemma-4-26b-a4b-it
- Created
- April 3, 2026
- Tokenizer
- Gemma
- Input Modalities
- image, text, video
- Context Window
- 262,144 tokens
- Input Price
- $0.06 per 1M tokens
- Output Price
- $0.33 per 1M tokens
- Content Moderation
- Disabled
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