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Claude 3 Opus vs GLM 5.2

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 3 Opus and GLM 5.2.

Anthropic

Claude 3 Opus

Claude 3 Opus is Anthropic's most powerful model from the first Claude 3 generation, engineered for deep analysis, comprehensive research, and demanding multi-step task execution. Released in March 2024, it represented the frontier of Anthropic's capabilities at the time, with a 200,000-token context window suitable for processing large documents, synthesizing diverse research sources, and generating expert-level written content. Priced at $15/MTok for input, Claude 3 Opus remains available for teams with specific requirements for Claude 3-generation behavior, though most use cases are better served by the improved Claude 4 series.

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Zhipu AI

GLM 5.2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

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Technical Specifications

SpecificationClaude 3 OpusGLM 5.2
ProviderAnthropicZhipu AI
Context Window200,000 tokens1,048,576 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment ModelN/Amanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-03-042026-06-16

API Pricing Comparison

Input Price per Million Tokens

Claude 3 Opus

$15.00

GLM 5.2

$0.93

Output Price per Million Tokens

Claude 3 Opus

$75.00

GLM 5.2

$3.00

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
8680.0%vs8950.0%
Claude 3 Opus
GLM 5.2
HumanEvalPython coding & logic synthesis
8490.0%vs9120.0%
Claude 3 Opus
GLM 5.2
MATHComplex mathematical problem solving
6010.0%vs8050.0%
Claude 3 Opus
GLM 5.2
GPQAGraduate-level expert reasoning
5040.0%vs5350.0%
Claude 3 Opus
GLM 5.2
HellaSwagCommonsense reasoning and inference
9500.0%vs8980.0%
Claude 3 Opus
GLM 5.2
MT-BenchMulti-turn conversation flow quality
900.0%vs930.0%
Claude 3 Opus
GLM 5.2

Claude 3 Opus Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.