Comprehensive side-by-side LLM comparison
Claude Sonnet 4.6 leads with 1.8% higher average benchmark score. Claude Sonnet 4.6 offers 59.9K more tokens in context window than GLM 5. GLM 5 is $14.64 cheaper per million tokens. Claude Sonnet 4.6 supports multimodal inputs. Claude Sonnet 4.6 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
Anthropic
Claude Sonnet 4.6 is a general-purpose language model from Anthropic, released in February 2026 as an update to the Sonnet 4 line that introduced adaptive thinking — a mode where the model automatically calibrates its reasoning depth based on task complexity rather than requiring manual configuration by the developer. The model accepts text and image inputs and integrates natively with web search and code execution tools, consolidating capabilities that previously required separate toolchain setup into a unified API surface. It became the primary workhorse model in the Claude 4 series for code assistance, agentic pipelines, and retrieval-augmented applications that benefit from built-in web access.
Zhipu AI
GLM-5 is a large language model from Zhipu AI with 745 billion total parameters and 44 billion active parameters per inference, designed for agentic intelligence, advanced reasoning, and frontier-level performance. It features a 200K token context window and targets complex multi-step tasks requiring sustained reasoning and tool use. GLM-5 is available via Zhipu AI's Z.ai platform under an MIT license.
6 days newer
GLM 5
Zhipu AI
2026-02-11

Claude Sonnet 4.6
Anthropic
2026-02-17
Cost per million tokens (USD)
Claude Sonnet 4.6
GLM 5
Context window and performance specifications
Average performance across 1 common benchmarks
Claude Sonnet 4.6
GLM 5
Performance comparison across key benchmark categories
Claude Sonnet 4.6
GLM 5
Claude Sonnet 4.6
2025-08
Available providers and their performance metrics
Claude Sonnet 4.6
Anthropic
AWS Bedrock
Google Cloud Vertex AI
GLM 5
Claude Sonnet 4.6
GLM 5
Claude Sonnet 4.6
GLM 5
Zhipu AI