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GLM 4.6V vs Qwen3 Next 80B A3B Thinking

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 4.6V and Qwen3 Next 80B A3B Thinking.

Zhipu AI

GLM 4.6V

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts...

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Alibaba

Qwen3 Next 80B A3B Thinking

Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic...

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Technical Specifications

SpecificationGLM 4.6VQwen3 Next 80B A3B Thinking
ProviderZhipu AIAlibaba
Context Window131,072 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-082025-09-11

API Pricing Comparison

Input Price per Million Tokens

GLM 4.6V

$0.30

Qwen3 Next 80B A3B Thinking

$0.10

Output Price per Million Tokens

GLM 4.6V

$0.90

Qwen3 Next 80B A3B Thinking

$0.78

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.

GLM 4.6V Quirks & Gotchas

No developer gotchas reported.

Qwen3 Next 80B A3B Thinking Quirks & Gotchas

No developer gotchas reported.