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Qwen3.5 397B A17B vs GLM 5.2

At a glance

Qwen's largest MoE model with 397B total parameters, 17B active.

262K ctx$0.39/$2.34 per M

Z.ai's frontier reasoning model for long-context agents and software engineering.

831.0M ctx$0.78/$2.44 per M#16/92
Agent Demos
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No shared agent demos for these models yet.

AI Output
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No captured outputs for these models yet.

Benchmarks
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This model hasn't been benchmarked yet.

Reasoning
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Capability
CapabilityECI83.4
Reasoning & Knowledge
Graduate Science91.9%Factual Recall38.1%
Math
Competition Math86.4%
Coding
Real-World Coding78.7%
Specs
262K
Context
66K
Max output
Feb 2026
Released
1.0M
Context
131K
Max output
Jun 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input50%$0.39/M tokens
Output4%$2.34/M tokens
Live pricing, shown before you run
Input$0.78/M tokens
Output$2.44/M tokens
Cache read$0.14/M tokens
Chat with Qwen3.5 397B A17BGo to model
Chat with GLM 5.2Go to model
Frequently Asked Questions: Qwen3.5 397B A17B vs GLM 5.2▼

Which is better, Qwen3.5 397B A17B or GLM 5.2?

▼

Both Qwen3.5 397B A17B and GLM 5.2 are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, Qwen3.5 397B A17B or GLM 5.2?

▼

Qwen3.5 397B A17B has a lower blended cost. Qwen3.5 397B A17B: $0.39 input / $2.34 output. GLM 5.2: $0.78 input / $2.44 output.

Which has a larger context window, Qwen3.5 397B A17B or GLM 5.2?

▼

GLM 5.2 has a larger context window: Qwen3.5 397B A17B supports 262K tokens vs GLM 5.2 at 1M tokens.

Do both Qwen3.5 397B A17B and GLM 5.2 support vision?

▼

Qwen3.5 397B A17B supports vision/image input, but GLM 5.2 does not.

What are the key differences between Qwen3.5 397B A17B and GLM 5.2?

▼

Key differences: only Qwen3.5 397B A17B supports vision input. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Qwen3.5 397B A17B and GLM 5.2 for free on idapt.app to see which performs better for your specific needs.

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