Skip to main content
idapt
HomeCodeAI ModelsPricing
Sign inStart free
Qwen

Qwen3.8 2.4T A95B

$$$Premium
Qwen
CompareChat

The open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. 1M-token context sparse MoE with always-on reasoning and text input. Suited to coding, research, complex reasoning, and agentic workflows at frontier scale with open weights.

▼

Qwen3.8 2.4T A95B is very affordable at $2.00/M tokens input and $6.00/M tokens output. Cached input reads are priced at $0.25/M tokens, making repeated context cheaper. The model supports extended reasoning, a 1M context window.

Best forLong-context analysis

Benchmarks

CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter

Specifications

Vision
Audio
Reasoning
MoE
Architecture
2.4T
Parameters
95B
Active
1M
Context
131K
Max output

Performance

Providers

Misc

August 12, 2026
Released
Same family
QwenQwen3.8 27BQwenQwen3.8 FlashQwenQwen3.8 Max (0902)
CompareChat with Qwen3.8 2.4T A95B

Compare with

OpenAIGPT 6 Astravs Qwen3.8 2.4T A95BOpenAIGPT 5.6 Lunavs Qwen3.8 2.4T A95BAnthropicClaude Fable 5.1vs Qwen3.8 2.4T A95BAnthropicClaude Opus 5vs Qwen3.8 2.4T A95BAnthropicClaude Sonnet 5vs Qwen3.8 2.4T A95BAnthropicClaude Haiku 4.5vs Qwen3.8 2.4T A95BGoogleGemini 3.8 Flashvs Qwen3.8 2.4T A95BGoogleGemini 3.5 Flashvs Qwen3.8 2.4T A95BGoogleGemini 3.5 Flash-Litevs Qwen3.8 2.4T A95BGoogleGemma 4 31Bvs Qwen3.8 2.4T A95BxAIGrok 4.6vs Qwen3.8 2.4T A95BxAIGrok Build 0.1vs Qwen3.8 2.4T A95BxAIGrok 4.1 Fastvs Qwen3.8 2.4T A95BMetaMuse Spark 1.3vs Qwen3.8 2.4T A95BDeepSeekDeepSeek V4 Pro (0813)vs Qwen3.8 2.4T A95BDeepSeekDeepSeek V4 Flashvs Qwen3.8 2.4T A95BMiniMaxMiniMax M3vs Qwen3.8 2.4T A95BMoonshotAIKimi K3vs Qwen3.8 2.4T A95BMoonshotAIKimi K2.7 Codevs Qwen3.8 2.4T A95BZhipu AIGLM 5.3vs Qwen3.8 2.4T A95BZhipu AIGLM 5.3 Flashvs Qwen3.8 2.4T A95BQwenQwen3.8 Max (0902)vs Qwen3.8 2.4T A95BQwenQwen3.7 Plusvs Qwen3.8 2.4T A95BQwenQwen3 Coder Nextvs Qwen3.8 2.4T A95BNVIDIANemotron 3 Ultravs Qwen3.8 2.4T A95B
Frequently Asked Questions about Qwen3.8 2.4T A95B▼

When was Qwen3.8 2.4T A95B released?

▼

Qwen3.8 2.4T A95B was released on August 12, 2026.

Who created Qwen3.8 2.4T A95B?

▼

Qwen3.8 2.4T A95B was created by Qwen.

How much does Qwen3.8 2.4T A95B cost?

▼

Qwen3.8 2.4T A95B costs $2.00/M input tokens and $6.00/M output tokens.

What is Qwen3.8 2.4T A95B API pricing?

▼

The Qwen3.8 2.4T A95B API is priced at $2.00 per million input tokens and $6.00 per million output tokens. You can access Qwen3.8 2.4T A95B through idapt.app alongside 200+ other AI models in one workspace.

Is Qwen3.8 2.4T A95B a reasoning model?

▼

Yes, Qwen3.8 2.4T A95B is a reasoning model. It can think step-by-step through complex problems before providing an answer, often yielding better results on difficult tasks like math, coding, and multi-step logic.

Does Qwen3.8 2.4T A95B support image or vision input?

▼

No, Qwen3.8 2.4T A95B does not currently support image or vision input. It is a text-only model.

Does Qwen3.8 2.4T A95B support audio?

▼

No, Qwen3.8 2.4T A95B does not support audio input.

What is the context window of Qwen3.8 2.4T A95B?

▼

Qwen3.8 2.4T A95B has a context window of 1M tokens, meaning it can process approximately 750,000 words of context at once.

Is Qwen3.8 2.4T A95B open source?

▼

Qwen3.8 2.4T A95B is a proprietary model developed by Qwen. The model weights and training data are not publicly available.

Where can I use Qwen3.8 2.4T A95B?

▼

You can chat with Qwen3.8 2.4T A95B on idapt.app — no separate API key required. idapt is an AI workspace with 200+ models, agents, computers, and tasks. You can also access Qwen3.8 2.4T A95B through Qwen's own API or platform.

  • 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)