Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Claude Haiku 4.5 offers 128.0K more tokens in context window than DeepSeek-V3.2 Thinking. DeepSeek-V3.2 Thinking is $3.26 cheaper per million tokens. Claude Haiku 4.5 supports multimodal inputs. Claude Haiku 4.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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.
DeepSeek
DeepSeek-V3.2-Exp (DeepSeek-V3.2 Thinking), released by DeepSeek in September 2025, is the experimental preview release of the DeepSeek-V3.2 model featuring 685 billion total parameters and integrated thinking capabilities. It introduced the architecture and training approaches that became the foundation of the final V3.2 release, including thinking in tool-use and hybrid reasoning modes.
2 days newer

DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29

Claude Haiku 4.5
Anthropic
2025-10-01
Cost per million tokens (USD)
Claude Haiku 4.5
DeepSeek-V3.2 Thinking
Context window and performance specifications
Average performance across 1 common benchmarks
Claude Haiku 4.5
DeepSeek-V3.2 Thinking
Performance comparison across key benchmark categories
Claude Haiku 4.5
DeepSeek-V3.2 Thinking
Claude Haiku 4.5
2025-02
Available providers and their performance metrics
Claude Haiku 4.5
Anthropic
AWS Bedrock
Google Cloud Vertex AI
DeepSeek-V3.2 Thinking
Claude Haiku 4.5
DeepSeek-V3.2 Thinking
Claude Haiku 4.5
DeepSeek-V3.2 Thinking
DeepSeek