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GLM 4.7 vs Qwen3 235B A22B Instruct 2507

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 GLM 4.7 and Qwen3 235B A22B Instruct 2507.

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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Alibaba

Qwen3 235B A22B Instruct 2507

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...

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Technical Specifications

SpecificationGLM 4.7Qwen3 235B A22B Instruct 2507
ProviderZhipu AIAlibaba
Context Window202,752 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-222025-07-21

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7

$0.40

Qwen3 235B A22B Instruct 2507

$0.09

Output Price per Million Tokens

GLM 4.7

$1.75

Qwen3 235B A22B Instruct 2507

$0.10

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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
8150.0%vsN/A
GLM 4.7
Qwen3 235B A22B Instruct 2507
HumanEvalPython coding & logic synthesis
8200.0%vsN/A
GLM 4.7
Qwen3 235B A22B Instruct 2507
MATHComplex mathematical problem solving
5150.0%vsN/A
GLM 4.7
Qwen3 235B A22B Instruct 2507
GPQAGraduate-level expert reasoning
3800.0%vsN/A
GLM 4.7
Qwen3 235B A22B Instruct 2507
HellaSwagCommonsense reasoning and inference
8350.0%vsN/A
GLM 4.7
Qwen3 235B A22B Instruct 2507
MT-BenchMulti-turn conversation flow quality
865.0%vsN/A
GLM 4.7
Qwen3 235B A22B Instruct 2507

GLM 4.7 Quirks & Gotchas

No developer gotchas reported.

Qwen3 235B A22B Instruct 2507 Quirks & Gotchas

No developer gotchas reported.