Kaggle Models
Researched todayTier 3Kaggle Models exposes 2 tracked models (0 with output token pricing in seed data). Task coverage across this catalog includes coding, rag, and agents; open any model detail page for benchmarks, batch tiers, and migration prompts.
Portfolio context: 7 decision-task tags, 2 catalog rows, latest research stamp 2026-06-03.
Use this portfolio page for
- Operators routing coding, rag, and agents workloads through this API
Do not stop here for
- Final benchmark picks without opening the relevant model detail page
- Strict price-per-token comparisons until output pricing is sourced
Catalog rows
2
Models linked to this provider in seed data
Priced output routes
0
Add output pricing to unlock comparisons
Cheapest output
Unknown
Need positive token_out rows
Batch-ready SKUs
0
No batch pricing tracked
Latest catalog ship
2026-06-03
0d since dated release field
Freshness
2026-06-03
Researched today
Catalog release signal
Latest ISO-dated model.release in this catalog is 2026-06-03 (0d ago).
Where this host wins
- Coding: 1 tracked model with SWE-bench / HumanEval-style scores.
- RAG: 2 tracked models with ruler / needle retrieval benchmarks.
- Agentic: 2 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 2 tracked models with context-token or InfiniteBench-class signal.
Getting started
Official entry points from seed metadata — confirm quotas and regions in vendor docs.
Compliance notes (verbatim seed excerpts)
Not yet verified from seed copy — no SOC/ISO/HIPAA-class sentences detected to quote verbatim.
Platform Overview
Kaggle Models hosts model collections with downloadable artifacts, examples, and notebook integration. For Gemma 4 12B, the confirmed source-backed availability is the official google/gemma-4 collection rather than a managed per-token API endpoint.
Available Models(2)
View all →Contact provider for pricing
| Model | Type |
|---|---|
| Gemma 4 12B | |
| Gemma 4 12B IT |
Platform Details
Organization
Kaggle Models is Google Kaggle's model hub for discovering and downloading public machine learning models, including official Google Gemma weights for local and notebook-based use.