Skip to main content
idapt
HomeCodeAI ModelsPricing
Sign inStart free
  • Home
  • Pricing
  • AI Models
  • Image models
  • Voice models
  • Video models
  • Rankings
  • New models
  • Model status
  • Multi-Model Chat
  • Agents
  • Computers
  • Drive
  • Automations
  • AI Gateway
  • All features →
  • LLM cost calculator
  • Token counter
  • All free tools →
  • Blog
  • Use cases
  • Comparisons
  • Best of
  • Benchmarks
  • Demos
  • Changelog
  • Help center
  • FAQ
  • Privacy
  • Compare all models
  • Support
  • idapt Code
  • Developers
  • Quickstarts
  • API reference
  • API pricing
  • CLI
  • MCP
  • Downloads
  • Desktop
  • Badges and embeds
© idapt[email protected]TermsPrivacy PolicyLegal noticeReport content
X (Twitter)

Qwen3.8 2.4T A95B vs GLM 5.3

At a glance

The open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total.

1M ctx$2.00/$6.00 per M

Z.ai's large-scale reasoning flagship for complex software engineering and long-horizon agent tasks.

1.0M ctx$1.40/$4.40 per M
Demos
All demos

No shared demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Cheaper28%
Specs
1M
Context
131K
Max output
Aug 2026
Released
1.0M
Context
256K
Max output
Aug 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$2.00/M tokens
Output$6.00/M tokens
Cache read4%$0.25/M tokens
Live pricing, shown before you run
Input30%$1.40/M tokens
Output27%$4.40/M tokens
Cache read$0.26/M tokens
Chat with Qwen3.8 2.4T A95BGo to model
Chat with GLM 5.3Go to model
Frequently Asked Questions: Qwen3.8 2.4T A95B vs GLM 5.3▼

Which is better, Qwen3.8 2.4T A95B or GLM 5.3?

▼

Both Qwen3.8 2.4T A95B and GLM 5.3 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, Qwen3.8 2.4T A95B or GLM 5.3?

▼

GLM 5.3 has a lower blended cost. Qwen3.8 2.4T A95B: $2.00 input / $6.00 output. GLM 5.3: $1.40 input / $4.40 output.

Which has a larger context window, Qwen3.8 2.4T A95B or GLM 5.3?

▼

GLM 5.3 has a larger context window: Qwen3.8 2.4T A95B supports 1M tokens vs GLM 5.3 at 1M tokens.

What are the key differences between Qwen3.8 2.4T A95B and GLM 5.3?

▼

Qwen3.8 2.4T A95B and GLM 5.3 have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.

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 Qwen3.8 2.4T A95B and GLM 5.3 for free on idapt.app to see which performs better for your specific needs.

Open in App