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Claude Opus 4.8 vs GLM 4.6

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 4.8 and GLM 4.6.

Anthropic

Claude Opus 4.8

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

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Zhipu AI

GLM 4.6

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...

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Technical Specifications

SpecificationClaude Opus 4.8GLM 4.6
ProviderAnthropicZhipu AI
Context Window1,000,000 tokens202,752 tokens
Agent Suitability97/100N/A
Time to First Token (TTFT)520 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-05-272025-09-30

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.8

$5.00

GLM 4.6

$0.43

Output Price per Million Tokens

Claude Opus 4.8

$25.00

GLM 4.6

$1.74

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
9540.0%vsN/A
Claude Opus 4.8
GLM 4.6
HumanEvalPython coding & logic synthesis
9720.0%vsN/A
Claude Opus 4.8
GLM 4.6
MATHComplex mathematical problem solving
9410.0%vsN/A
Claude Opus 4.8
GLM 4.6
GPQAGraduate-level expert reasoning
8650.0%vsN/A
Claude Opus 4.8
GLM 4.6
HellaSwagCommonsense reasoning and inference
9920.0%vsN/A
Claude Opus 4.8
GLM 4.6
MT-BenchMulti-turn conversation flow quality
980.0%vsN/A
Claude Opus 4.8
GLM 4.6

Claude Opus 4.8 Quirks & Gotchas

  • โ–ธBest-in-class for autonomous code repair and multi-agent orchestration
  • โ–ธPreview model โ€” API may introduce breaking changes without notice

GLM 4.6 Quirks & Gotchas

No developer gotchas reported.