LLM Reference

Gemini 1.0 Pro Vision

Released
2024-04-29
Last refreshed
2026-05-11
Status
Researched 46d ago
VisionClassificationJSON / Tool use

Gemini 1.0 Pro Vision has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating vision, classification, and json / tool use
  • Workloads that can use a 12k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
Specifications
Released
2024-04-29
Context
12k
Architecture
Decoder Only
Specialization
general
Training
finetuned
Created by

Pioneering artificial intelligence research.

London, United Kingdom
Founded 2014
Website
Pricing

No tracked provider token pricing is available yet.

About

Gemini 1.0 Pro Vision is a multimodal large language model crafted by Google, excelling in tasks involving both visual and textual data. It boasts advanced capabilities in visual understanding, classification, and summarization, enabling the creation of content from images and videos. The model adeptly processes a range of visual and textual inputs, such as photographs, documents, and infographics, and is capable of generating image descriptions and object identification. Moreover, it supports zero-shot, one-shot, and few-shot learning, enhancing its adaptability to diverse applications. Despite its powerful features, Gemini 1.0 Pro Vision is slated for deprecation, with a removal date set for April 9, 2025, prompting users to transition to updated models like Gemini 1.5 Pro and Gemini 1.5 Flash 15.

Gemini 1.0 Pro Vision is a model in the Gemini 1.0 family. The structured metadata tracks a 12k-token context window, vision, and structured outputs. This page tracks provider routes through GCP Vertex AI, with the cheapest tracked route listed at $0.5 input and $1.5 output per 1M tokens. Headline tracked benchmarks include GAOKAO-MM 35.1.

Top use-case fit

Vision

1 relevant benchmark in the decision map.

Classification

Included by capability and metadata signals in the decision map.

JSON / Tool use

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

VisionStructured Outputs

Benchmark peer barsfor Vision

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
GAOKAO-MM35.1zero-shothttps://github.com/OpenMOSS/GAOKAO-MM

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(6)