โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

GLM 4.7 vs Qwen3.5 Plus 2026-02-15

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 Qwen3.5 Plus 2026-02-15.

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...

View Full Specs
Alibaba

Qwen3.5 Plus 2026-02-15

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...

View Full Specs

Technical Specifications

SpecificationGLM 4.7Qwen3.5 Plus 2026-02-15
ProviderZhipu AIAlibaba
Context Window202,752 tokens1,000,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-12-222026-02-16

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7

$0.40

Qwen3.5 Plus 2026-02-15

$0.26

Output Price per Million Tokens

GLM 4.7

$1.75

Qwen3.5 Plus 2026-02-15

$1.56

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
8150.0%vsN/A
GLM 4.7
Qwen3.5 Plus 2026-02-15
HumanEvalPython coding & logic synthesis
8200.0%vsN/A
GLM 4.7
Qwen3.5 Plus 2026-02-15
MATHComplex mathematical problem solving
5150.0%vsN/A
GLM 4.7
Qwen3.5 Plus 2026-02-15
GPQAGraduate-level expert reasoning
3800.0%vsN/A
GLM 4.7
Qwen3.5 Plus 2026-02-15
HellaSwagCommonsense reasoning and inference
8350.0%vsN/A
GLM 4.7
Qwen3.5 Plus 2026-02-15
MT-BenchMulti-turn conversation flow quality
865.0%vsN/A
GLM 4.7
Qwen3.5 Plus 2026-02-15

GLM 4.7 Quirks & Gotchas

No developer gotchas reported.

Qwen3.5 Plus 2026-02-15 Quirks & Gotchas

No developer gotchas reported.