Google DeepMind
190 models across 38 families · Latest: EmbeddingGemma 2 (2026-10)
Pioneering artificial intelligence research.
Google DeepMind's portfolio covers 141 active models across 33 current families, spanning coding, rag, and agents. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 7 workload areas across 141 active tracked models; last verified 2026-10-26.
Use it for
- Teams evaluating coding, rag, and agents across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 141 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
141
Current models from this lab, excluding deprecated ones
Active families
33
Current model families from this lab
Open catalog
63 open
26 open source / 37 open weights
Lowest output price
$0.040 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2026-10-06
EmbeddingGemma 2
Freshness
2026-10-26
Researched 1d ago
Information
Release cadence
- Dated releases
- 5
- Latest model
- EmbeddingGemma 2
- Latest date
- 2026-10-06
Where this lab wins
- Coding: 26 tracked models with SWE-bench / HumanEval-style scores.
- RAG: 38 tracked models with ruler / needle retrieval benchmarks.
- Agentic: 41 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 51 tracked models with context-token or InfiniteBench-class signal.
Flagship quality / price signal
- Flagship
- Gemma 4 31B IT
- Selection source
- Best sourced coding Q/$
- Coding grade
- A
- Benchmark / output price
- livecodebench 80 · $0.000/1M
About
Google DeepMind is a world-leading AI research organization that has made groundbreaking contributions to the field of AI. Their work on deep learning, reinforcement learning, and game AI has led to remarkable achievements like AlphaGo, which showcased the potential of AI to surpass human performance in complex domains. DeepMind's research also has significant implications for industries such as healthcare, where their AI systems can assist in medical diagnosis and treatment planning. For software engineers and SaaS executives, staying informed about DeepMind's cutting-edge research is essential for understanding the latest advancements and potential applications of AI.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| EmbeddingGemma 2 | 2026-10-06 | 8K | - | - | Apache 2.0 | Open source |
| Nano Banana 2.1 | 2026-10-06 | 128K | $1.50 | $7.50 | Proprietary | Proprietary |
| Gemini 4 Argon | 2026-09-30 | 1M | $2.00 | $10.00 | Proprietary | Proprietary |
Model families
Gemini 3.1
EmbeddingGemma
Gemini 4
Gemini 3.8
Lyria
Gemini Omni
Gemini 3.5
Gemini 3.7
Gemini 3.6
DiffusionGemma
Gemma 4
Gemini 3
Antigravity
Gemini Embedding
Gemma 3
Gemini 2.5
Veo
T5Gemma
Gemini 2.0
Gemini 1.5
LearnLM
Imagen
Vertex AI Multimodal Embeddings
Gemma 2
RecurrentGemma
PaliGemma
CodeGemma
Gemini 1.0
Gemma
MedLM
DePlot
FLAN-UL2
FLAN-T5
Recent releases
- EmbeddingGemma 2- 2026-10-06
- Nano Banana 2.1- 2026-10-06
- Gemini 4 Argon- 2026-09-30
- Gemini 3.8 Live- 2026-09-15
- Gemini 3.8 Live Extended Thinking- 2026-09-15
Top comparisons
Explore related pages
Last reviewed: 2026-10-26. Data sourced from public lab announcements and provider documentation.