Gemma 4 12B Instruct
Google's Gemma 4 12B Instruct is an open-weight multimodal model for text, image, audio, and video understanding, with tool calling and structured output support.
- Vision
- Audio Input
- Video Input
- Tool Calling
- Structured Output
Added Aug 1, 2026
Pricing
Auto routing · per 1M tokens- Input
- $0.050
- Output
- $0.25
- Cache read
- $0.025
Specifications
- Context window
- 262.1K
- Max output
- 32.8K
- Parameters
- 12B
- Avg output (7d)
- 72 tokens
- Longer than 5% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
9.4
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
31.9%
Better than 40% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
35.0%
Better than 33% of models compared
Reasoning
HLE
Humanity's Last Exam
6.3%
Better than 38% of models compared
IFBench
Instruction-following benchmark
45.2%
Better than 52% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
11.4%
Better than 47% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
66.1%
Better than 42% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
35.0%
Better than 33% of models compared
Last updated Oct 1, 2026
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