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)

ERNIE 4.5 21B Thinking vs Qwen3.8 Max (0902)

At a glance

Compact ERNIE 4.5 model with always-on thinking mode.

131K ctx

Alibaba's updated Qwen3.8 Max flagship snapshot, post-trained for coding and agentic work.

1M ctx$2.00/$6.00 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
No benchmarks available

This model hasn't been benchmarked yet.

Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Specs
131K
Context
33K
Max output
—
Released
1M
Context
131K
Max output
Sep 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Pricing not available
Live pricing, shown before you run
Input$2.00/M tokens
Output$6.00/M tokens
Cache read$0.25/M tokens
Cache write$2.50/M tokens
Chat with ERNIE 4.5 21B ThinkingGo to model
Chat with Qwen3.8 Max (0902)Go to model
Frequently Asked Questions: ERNIE 4.5 21B Thinking vs Qwen3.8 Max (0902)▼

Which is better, ERNIE 4.5 21B Thinking or Qwen3.8 Max (0902)?

▼

Both ERNIE 4.5 21B Thinking and Qwen3.8 Max (0902) 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 has a larger context window, ERNIE 4.5 21B Thinking or Qwen3.8 Max (0902)?

▼

Qwen3.8 Max (0902) has a larger context window: ERNIE 4.5 21B Thinking supports 131K tokens vs Qwen3.8 Max (0902) at 1M tokens.

Do both ERNIE 4.5 21B Thinking and Qwen3.8 Max (0902) support vision?

▼

Qwen3.8 Max (0902) supports vision/image input, but ERNIE 4.5 21B Thinking does not.

What are the key differences between ERNIE 4.5 21B Thinking and Qwen3.8 Max (0902)?

▼

Key differences: only Qwen3.8 Max (0902) 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 ERNIE 4.5 21B Thinking and Qwen3.8 Max (0902) for free on idapt.app to see which performs better for your specific needs.

Open in App