frontiermultimodalreasoning

Google DeepMind

World-class multimodal AI with 1M+ token context and Gemini's Thinking mode.

4
Models tracked
2023
Founded
Gemini 2.5 Pro
Flagship model
London
HQ

About

About Google DeepMind

Google DeepMind was formed in 2023 by merging Google Brain and DeepMind. It develops the Gemini model family, which combines Google's decades of Search and data infrastructure with DeepMind's breakthroughs in reasoning and RL. Gemini 2.5 Pro holds industry-leading benchmark scores while offering context windows up to 1 million tokens — the largest available via a commercial API.

Key highlights

  • Industry-leading context windows: 1M tokens (2.5) and 2M tokens (1.5 Pro)

  • Thinking mode across the 2.5 family for transparent chain-of-thought reasoning

  • Native multimodal input — text, image, audio, and video in a single model call

  • Google Search grounding via the Gemini API for live information retrieval

  • Available on Google AI Studio (free tier) and Vertex AI for enterprise

Models

4 models tracked

Context windows, pricing, capabilities, and API identifiers — everything you need to choose the right model for your workload.

Flagship

Gemini 2.5 Pro

2025

1Mcontext
TextVisionCodeReasoningAudio

Google's flagship model with Thinking mode for transparent chain-of-thought reasoning. Leads on MMLU, GPQA, and MATH benchmarks with a 1M token context window and native audio/video support.

  • Thinking mode reasoning
  • 1M token context
  • Native multimodal
  • Benchmark-leading scores
In: $1.25 / M tokens
Out: $10 / M tokens
gemini-2.5-pro

Gemini 2.5 Flash

2025

1Mcontext
TextVisionCodeReasoning

The best cost-performance model in the Gemini family. Retains the 1M context and Thinking mode of Pro at a fraction of the price — ideal for high-volume production.

  • Best price-performance ratio
  • Thinking mode included
  • 1M context
  • High throughput
In: $0.15 / M tokens
Out: $0.60 / M tokens
gemini-2.5-flash

Gemini 2.0 Flash

2025

1Mcontext
TextVisionCode

Optimised for speed and sub-second latency. Supports native image, audio, and video understanding for real-time interactive applications.

  • Ultra-low latency
  • Real-time streaming
  • Image + audio + video
  • Live API
In: $0.10 / M tokens
Out: $0.40 / M tokens
gemini-2.0-flash

Gemini 1.5 Pro

2024

2Mcontext
TextVisionCodeAudio

Gemini 1.5 Pro offers the longest stable context window (2M tokens) with strong multimodal capability including video analysis. A proven production choice.

  • 2M token context
  • Video understanding
  • Stable production model
  • Proven quality
In: $1.25 / M tokens
Out: $5 / M tokens
gemini-1.5-pro

Use Cases

What Google DeepMind is best for

Each provider has specialisms shaped by their architecture decisions, training data, and API design. Here is where Google DeepMind performs best.

Full codebase comprehension
Video & document analysis
Grounded research pipelines
Real-time conversational AI
Enterprise data processing

Get started

Start building with Google DeepMind

Visit the official Google DeepMind platform to access API keys, documentation, and pricing details.