Tuesday, December 02, 2025

AI: Anthropic Opus 4.5 vs Sonnet 4.5 model


Opus 4.5 offers significantly better performance on complex tasks, but Sonnet 4.5 is cheaper with lower API costs ($3/$15 per million input/output tokens) and is sufficient for most high-throughput applications. Opus 4.5 has a higher API cost ($5/$25 per million input/output tokens) but is also more token-efficient, meaning it uses fewer tokens to achieve similar or better results, potentially making it more cost-effective for certain workflows, especially when its "effort" parameter is used to lower costs.


Feature Sonnet 4.5Opus 4.5
API Price$3 input / $15 output per million tokens$5 input / $25 output per million tokens
Token EfficiencyLess efficient than OpusMore efficient, uses fewer tokens for comparable results
Best Use CaseHigh-throughput applications where speed mattersComplex tasks that require deeper reasoning
Cost ConsiderationsLower base price, ideal for high volume when efficiency is less criticalHigher base price, but can be more cost-effective due to token efficiency and the "effort" parameter
Claude Sonnet 4.5 vs Opus 4.5: The Complete Comparison

Opus 4.5 solves problems with dramatically fewer steps—less backtracking, less redundant exploration, less verbose reasoning. At medium effort level, Opus 4.5 matches Sonnet 4.5's best SWE-bench score while using 76% fewer output tokens. At high effort, it exceeds Sonnet 4.5 by 4.3 percentage points while still using 48% fewer tokens.

Qdrant Vector Database for AI semantic search

excellent podcast interview

SE Radio 691: Kacper Ɓukawski on Qdrant Vector Database – Software Engineering Radio

Qdrant vector database and similarity search engine. After introducing vector databases and the foundational concepts undergirding similarity search, they dive deep into the Rust-based implementation of Qdrant. Along with comparing and contrasting different vector databases, they also explore the best practices for the performance evaluation of systems like Qdrant.Qdrant


open source, written in Rust, deployed as container or on clouds