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Claude Haiku 4.5 vs Gemini 2.5 Flash

We don't benchmark Claude Haiku 4.5 or Gemini 2.5 Flash on Vision Evals. Both are proprietary under Proprietary, so commercial use per vendor terms. Gemini 2.5 Flash is cheaper per token ($0.30/M vs $1/M input). Test them side by side on your own images below.

Compare Claude Haiku 4.5 vs Gemini 2.5 Flash live

Run the same image across every model that supports a task and compare their outputs side-by-side.

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AnthropicClaude Haiku 4.5
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GoogleGemini 2.5 Flash
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Claude Haiku 4.5 vs Gemini 2.5 Flash Comparison Table

Pricing updated November 10, 2026

PropertyClaude Haiku 4.5Gemini 2.5 Flash
OrganizationAnthropicGoogle
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateOct 2025Jul 2025
Context Window200K1.0M
ParametersUnknownUnknown
LicenseProprietaryProprietary
Commercial usecommercial use per vendor termscommercial use per vendor terms
Pricing per 1M tokens
Input $/1M$1.00$0.300
Output $/1M$5.00$2.50
Vision Tasks
Both support 10 more tasks
Model Features
Both support 3 more features

Claude Haiku 4.5 vs Gemini 2.5 Flash: Overview

Claude Haiku 4.5

Claude Haiku 4.5 is Anthropic’s lightweight model in the Claude 4.5 series, released in October 2025 under a proprietary license. Designed for speed and cost efficiency, it delivers near-frontier performance while maintaining Anthropic’s AI Safety Level 2 standard. Haiku 4.5 supports both text and multimodal (text and image) inputs, integrates tool use and extended reasoning, and features a 200,000 token context window, making it adept at handling long or complex workflows. Haiku 4.5 is ideal for developers and researchers seeking rapid, cost-effective model calls for analysis, coding, or multimodal understanding.

Gemini 2.5 Flash

Gemini 2.5 Flash, released on June 17, 2025, is Google DeepMind’s production-ready, efficiency-focused model in the Gemini 2.5 family. It is multimodal, accepting text, images, video, and audio as inputs, with text as the primary output format. The model supports 1 million input tokens and up to 65K output tokens, enabling it to process very large contexts such as books, long video transcripts, or extensive datasets. Its training knowledge extends to January 2025.

Designed as a price-performance leader, Gemini 2.5 Flash balances speed and reasoning power, making it suitable for everyday enterprise and developer use cases without the higher latency and cost of Pro models. It supports advanced workflows like function calling, code execution, search grounding, URL context ingestion, and structured outputs. While efficient and scalable, output length is still limited compared to its input capacity, and multimodal outputs (e.g. image or audio generation) remain restricted to specialized or preview variants.