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Claude Opus 4 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 Opus 4 and GLM 4.6V.

Anthropic

Claude Opus 4

Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...

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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...

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Technical Specifications

SpecificationClaude Opus 4GLM 4.6V
ProviderAnthropicZhipu AI
Context Window200,000 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-05-222025-12-08

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4

$15.00

GLM 4.6V

$0.30

Output Price per Million Tokens

Claude Opus 4

$75.00

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
9050.0%vsN/A
Claude Opus 4
GLM 4.6V
HumanEvalPython coding & logic synthesis
9300.0%vsN/A
Claude Opus 4
GLM 4.6V
MATHComplex mathematical problem solving
8540.0%vsN/A
Claude Opus 4
GLM 4.6V
GPQAGraduate-level expert reasoning
7230.0%vsN/A
Claude Opus 4
GLM 4.6V
HellaSwagCommonsense reasoning and inference
9650.0%vsN/A
Claude Opus 4
GLM 4.6V
MT-BenchMulti-turn conversation flow quality
945.0%vsN/A
Claude Opus 4
GLM 4.6V

Claude Opus 4 Quirks & Gotchas

No developer gotchas reported.

GLM 4.6V Quirks & Gotchas

No developer gotchas reported.