Qwen: Qwen3.8 2.4T A95B (batch)
Analysis Summary
Qwen3.8 2.4T A95B is a high-capability Qwen model with advanced reasoning, strong software engineering performance, and reliable agentic support. Tool use and function calling make it suitable for multi-step workflows, while the 1.01M token context window supports large codebases, detailed briefs, and long documents.
For agency work, it fits complex coding tasks, research-heavy content operations, document analysis, and agents that need to maintain substantial working context. Text-only input limits its usefulness for visual review compared with multimodal alternatives. Pricing is higher than value-focused models, particularly for output, so it should be reserved for work where reasoning depth and context capacity matter.
Assessed September 1, 2026
Editorial notes
Qwen3.8 2.4T A95B combines advanced reasoning, strong coding, agentic tool use, and a 1.01M token context window. Its higher output pricing suits demanding workflows rather than routine volume traffic.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3.8 2.4T A95B combines advanced reasoning, strong coding, agentic tool use, and a 1.01M token context window. Its higher output pricing suits demanding workflows rather than routine volume traffic.
How Qwen: Qwen3.8 2.4T A95B (batch) compares
Qwen: Qwen3.8 2.4T A95B (batch) ranks #10 of 432 AI models we track for overall intelligence, #19 of 205 for coding, #13 of 187 for agentic tasks. Its 1M-token context window is larger than 85% of the models we list. At $2.00 per million input tokens it is cheaper than 18% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on content. The pulled-in value corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $6.00 | $0.006000 |
What would Qwen: Qwen3.8 2.4T A95B (batch) cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 743 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3.8 2.4T A95B (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3.8 2.4T A95B (batch)
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is..
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Frequently asked questions about Qwen: Qwen3.8 2.4T A95B (batch)
How much does Qwen: Qwen3.8 2.4T A95B (batch) cost?
Qwen: Qwen3.8 2.4T A95B (batch) costs $2.00 per million input tokens and $6.00 per million output tokens.
What is the context window of Qwen: Qwen3.8 2.4T A95B (batch)?
Qwen: Qwen3.8 2.4T A95B (batch) has a context window of 1,010,000 tokens (1M).
Is Qwen: Qwen3.8 2.4T A95B (batch) good for coding?
On our coding benchmark index, Qwen: Qwen3.8 2.4T A95B (batch) ranks #19 of 205 models, placing it in the top quartile of the field for code generation and debugging.
What can Qwen: Qwen3.8 2.4T A95B (batch) do?
Qwen: Qwen3.8 2.4T A95B (batch) supports tool use and function calling.
Who created Qwen: Qwen3.8 2.4T A95B (batch)?
Qwen: Qwen3.8 2.4T A95B (batch) is developed by Qwen and was released on August 12, 2026.