โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude Sonnet 4.6 vs GLM 4.6V

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Sonnet 4.6 and GLM 4.6V.

Anthropic

Claude Sonnet 4.6

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...

View Full Specs
Zhipu AI

GLM 4.6V

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts...

View Full Specs

Technical Specifications

SpecificationClaude Sonnet 4.6GLM 4.6V
ProviderAnthropicZhipu AI
Context Window1,000,000 tokens131,072 tokens
Agent Suitability94/100N/A
Time to First Token (TTFT)350 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-172025-12-08

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4.6

$3.00

GLM 4.6V

$0.30

Output Price per Million Tokens

Claude Sonnet 4.6

$15.00

GLM 4.6V

$0.90

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9040.0%vsN/A
Claude Sonnet 4.6
GLM 4.6V
HumanEvalPython coding & logic synthesis
9370.0%vsN/A
Claude Sonnet 4.6
GLM 4.6V
MATHComplex mathematical problem solving
8230.0%vsN/A
Claude Sonnet 4.6
GLM 4.6V
GPQAGraduate-level expert reasoning
6500.0%vsN/A
Claude Sonnet 4.6
GLM 4.6V
HellaSwagCommonsense reasoning and inference
9600.0%vsN/A
Claude Sonnet 4.6
GLM 4.6V
MT-BenchMulti-turn conversation flow quality
940.0%vsN/A
Claude Sonnet 4.6
GLM 4.6V

Claude Sonnet 4.6 Quirks & Gotchas

  • โ–ธBest balance of speed and capability โ€” default for most Claude integrations
  • โ–ธComputer-use (beta) feature enables autonomous UI interaction

GLM 4.6V Quirks & Gotchas

No developer gotchas reported.