Comprehensive side-by-side LLM comparison
Devstral-2-123B offers 192 more tokens in context window than Claude Haiku 4.5. Devstral-2-123B is $2.00 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.
Mistral AI
Devstral 2, released by Mistral AI on December 9, 2025, is a 123 billion parameter dense transformer model specifically designed for software engineering tasks. It features a 256K token context window and achieved 72.2% on SWE-bench Verified at release, making it a competitive open-weight option for automated coding and agentic development. Devstral 2 targets code generation, multi-file software engineering, and agentic development workflows under a modified MIT license.
2 months newer

Claude Haiku 4.5
Anthropic
2025-10-01

Devstral-2-123B
Mistral AI
2025-12-09
Cost per million tokens (USD)
Claude Haiku 4.5
Devstral-2-123B
Context window and performance specifications
Claude Haiku 4.5
2025-02
Available providers and their performance metrics
Claude Haiku 4.5
Anthropic
AWS Bedrock
Google Cloud Vertex AI
Devstral-2-123B
Claude Haiku 4.5
Devstral-2-123B
Claude Haiku 4.5
Devstral-2-123B
OpenRouter