Qwen: Qwen3.8 2.4T A95B (batch)
Analysis Summary
Qwen3.8 2.4T A95B is a text model with a 1,010,000-token context window, tool use, and function calling. Its measured results indicate stronger coding and agentic capability than its general reasoning profile, making it more compelling for software and tool-connected workflows than as an unquestioned all-purpose flagship.
For business use, consider it for code assistance, long-context document analysis, and multi-step tasks that benefit from function calling. Its text-only modality limits image-based workflows, and its listed pricing of $2 per million input tokens and $6 per million output tokens is not the cheapest for routine high-volume traffic. It is a strong specialist candidate, but teams should test instruction adherence and agent reliability on their own tasks.
Assessed September 23, 2026
Editorial notes
Qwen3.8 2.4T A95B combines strong coding and agentic results with tool calling and a 1M-token context, making it a capable option for codebase and document workflows.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Qwen3.8 2.4T A95B combines strong coding and agentic results with tool calling and a 1M-token context, making it a capable option for codebase and document workflows.
Benchmarks
Artificial Analysis data refreshed Sep 24, 2026. Arena ratings from the Sep 13, 2026 text leaderboard, with style control.
How Qwen: Qwen3.8 2.4T A95B (batch) compares
Qwen: Qwen3.8 2.4T A95B (batch) ranks #20 of 428 AI models we track for overall intelligence, #19 of 198 for coding, #12 of 181 for agentic tasks. Its 1M-token context window is larger than 86% of the models we list. At $2.00 per million input tokens it is cheaper than 16% 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.
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.
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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 198 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.