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Claude 3 Sonnet vs GLM 4.7

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 Sonnet and GLM 4.7.

Anthropic

Claude 3 Sonnet

Claude 3 Sonnet was Anthropic's balanced standard model in the first Claude 3 generation, optimized for a combination of response speed and general-purpose capabilities across writing, summarization, and question answering. Released in March 2024 alongside Opus and Haiku, it occupied the mid-tier positioning in the Claude 3 lineup. Claude 3 Sonnet has since been deprecated, and current use cases requiring similar capability-to-cost balance are best served by the Claude 4 Sonnet series, which offers substantially improved reasoning, context handling, and instruction following at competitive pricing.

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Zhipu AI

GLM 4.7

GLM-4.7 is Z.aiโ€™s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...

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Technical Specifications

SpecificationClaude 3 SonnetGLM 4.7
ProviderAnthropicZhipu AI
Context Window200,000 tokens202,752 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment ModelN/Amanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-03-042025-12-22

API Pricing Comparison

Input Price per Million Tokens

Claude 3 Sonnet

$3.00

GLM 4.7

$0.40

Output Price per Million Tokens

Claude 3 Sonnet

$15.00

GLM 4.7

$1.75

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
7900.0%vs8150.0%
Claude 3 Sonnet
GLM 4.7
HumanEvalPython coding & logic synthesis
7300.0%vs8200.0%
Claude 3 Sonnet
GLM 4.7
MATHComplex mathematical problem solving
4100.0%vs5150.0%
Claude 3 Sonnet
GLM 4.7
GPQAGraduate-level expert reasoning
3500.0%vs3800.0%
Claude 3 Sonnet
GLM 4.7
HellaSwagCommonsense reasoning and inference
8900.0%vs8350.0%
Claude 3 Sonnet
GLM 4.7
MT-BenchMulti-turn conversation flow quality
820.0%vs865.0%
Claude 3 Sonnet
GLM 4.7

Claude 3 Sonnet Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Quirks & Gotchas

No developer gotchas reported.