Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 11.8% higher average benchmark score. Gemini 3 Pro offers 744.2K more tokens in context window than Claude Haiku 4.5. Claude Haiku 4.5 is $16.50 cheaper per million tokens. Overall, Gemini 3 Pro is the stronger choice for coding tasks.
Anthropic
Claude Haiku 4.5, released by Anthropic in October 2025, is a fast, efficient large language model from the Claude 4.5 family optimized for high-throughput, low-latency workloads. It features a 200K token context window, 64K maximum output tokens, native image understanding, and extended thinking capabilities. Haiku 4.5 targets latency-sensitive applications such as real-time assistants, document classification, and lightweight agentic tasks where rapid response times are a primary requirement.
Google DeepMind
Gemini 3 Pro, released by Google in November 2025, is a large language model from the Gemini 3 family designed for complex reasoning, broad world knowledge, and multi-step problem solving. It features a 1M token context window, 64K maximum output tokens, and native multimodal input including text, images, audio, and video. Gemini 3 Pro targets research-grade reasoning, advanced data analysis, and applications requiring comprehensive understanding across diverse input formats.
1 month newer

Claude Haiku 4.5
Anthropic
2025-10-01

Gemini 3 Pro
Google DeepMind
2025-11-18
Cost per million tokens (USD)
Claude Haiku 4.5
Gemini 3 Pro
Context window and performance specifications
Average performance across 2 common benchmarks
Claude Haiku 4.5
Gemini 3 Pro
Performance comparison across key benchmark categories
Claude Haiku 4.5
Gemini 3 Pro
Claude Haiku 4.5
2025-02
Available providers and their performance metrics
Claude Haiku 4.5
Anthropic
AWS Bedrock
Google Cloud Vertex AI
Gemini 3 Pro
Claude Haiku 4.5
Gemini 3 Pro
Claude Haiku 4.5
Gemini 3 Pro
Google Cloud Vertex AI