Gemma 4 12B IT
Gemma 4 12B IT is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.
Use it for
- Teams evaluating coding, rag, and agents
- Workloads that can use a 256k context window
- Buyers comparing 2 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
- Family
- Gemma 4
- Released
- 2026-06-03
- Context
- 256k
- Parameters
- 12B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2025-01
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Available
- Code
- Unknown
- Training
- Fine-tuned
Cheapest of 2 routes · Hugging Face Inference Endpoints
About
Instruction-tuned version of Gemma 4 12B. Open weight (Apache 2.0), 12B parameters, encoder-free multimodal (text, image, audio). Optimized for chat and instruction-following. Runs on a 16GB laptop.
Gemma 4 12B IT is an open-source model in the Gemma 4 family. The structured metadata tracks a 256k-token context window, multimodal input, audio, reasoning, function calling, tool use, and structured outputs. This page tracks provider routes through Hugging Face Inference Endpoints and Kaggle Models. Headline tracked benchmarks include Google-Proof Q&A 78.8, MMLU PRO 77.2, and LiveCodeBench 72.0.
Top use-case fit: coding, agents, and build tasks
Coding
1 relevant benchmark in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 2Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Hugging Face Inference Endpoints | - | - | Partial |
| Kaggle Models | - | - | Partial |
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(4)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| Google-Proof Q&A | 78.8 | DiamondObserved 2026-06-03 | — | Source |
| MMLU PRO | 77.2 | MMLU ProObserved 2026-06-03 | — | Source |
| LiveCodeBench | 72.0 | v6 pass@1Observed 2026-06-03 | — | Source |
| AIME 2026 | 77.5 | no tools / no calculatorObserved 2026-06-03 | — | Source |
Migration checks
No linked migration route is available for this model yet.
Frequently asked questions
What is the context window of Gemma 4 12B IT?
Gemma 4 12B IT has a context window of 256k tokens.
When was Gemma 4 12B IT released?
Gemma 4 12B IT was released on 2026-06-03.
Which providers offer Gemma 4 12B IT?
Gemma 4 12B IT is available from 2 providers: Hugging Face Inference Endpoints, Kaggle Models.
What benchmarks has Gemma 4 12B IT been tested on?
Gemma 4 12B IT has been evaluated on 4 benchmarks, including Google-Proof Q&A, MMLU PRO, LiveCodeBench, AIME 2026.
Cheapest of 2 routes · Hugging Face Inference Endpoints