4032
provider brief

Google DeepMind

← Back to atlas
2 models · 4 modalities · 2 tiers

market

Google DeepMind

Google DeepMind lineup overview: capabilities, latency profiles, and where each model fits inside the 4032.ai bridge.

Modalities

Audio · Code · Text · Vision

Coverage across the lineup.

Max context

1M tokens (streaming) / 128k cached context

Largest window offered by this provider.

Tiers

balanced · fast

Blend of speed, reasoning, and openness.

lineup

Google DeepMind models

Compare the models from Google DeepMind side by side. Look at tiers, latency, pricing, and where they slot into your workloads.

2024 balanced Interactive latency with streaming enabled by default

Gemini 2.0 Pro

Balanced multimodal Gemini model that blends quality, speed, and long-context reasoning.

Details →

Context

1M tokens (streaming) / 128k cached context

Modalities

Text · Vision · Audio · Code

Pricing

$0.35 / 1M input tokens, $1.05 / 1M output tokens

Availability

Google AI Studio, Vertex AI

Strengths

  • Strong grounding on web-scale knowledge with low-latency streaming.
  • Handles mixed modality inputs across screenshots, PDFs, and audio snippets.
  • Reliable JSON modes for structured calls and function execution.

Best for

  • Production chat and copilots that need latency caps.
  • Long-context analysis with mixed media attachments.
  • Retrieval-augmented generation and analytics over customer data.
2024 fast Very low; designed for real-time experiences

Gemini 2.0 Flash

Speed-focused Gemini tier for high-traffic workloads with strong multimodal coverage.

Details →

Context

1M tokens (streaming) / 128k cached context

Modalities

Text · Vision · Audio · Code

Pricing

$0.10 / 1M input tokens, $0.40 / 1M output tokens

Availability

Google AI Studio, Vertex AI

Strengths

  • Very low latency with competitive reasoning for its size.
  • Great at summarization, classification, and extraction tasks.
  • Optimized streaming responses for interactive UIs.

Best for

  • Support chat, quick Q&A, and transactional responses.
  • Summaries and labeling over documents, tickets, and recordings.
  • Agent warmups, pre-routing, and pre-processing before heavier calls.