Qwen: Qwen3.8 2.4T A95B
Analysis Summary
Qwen3.8 2.4T A95B is Qwen's large flagship configuration, built for demanding reasoning, software engineering, and tool-driven workflows. Its intelligence, coding, and agentic results place it firmly in the professional tier, while the 1M-token context can accommodate long specifications, codebases, and research materials. Text-only input is its principal modality limitation.
Design for Online could use it for complex coding agents, technical SEO analysis, long-document synthesis, and high-stakes content planning. Tool use and function calling support integrations with production systems, although the price is materially higher than budget models and makes indiscriminate routing inefficient. Adopt it where reasoning depth and reliable multi-step execution matter, with a cheaper model handling classification, drafts, and routine transformations.
Assessed August 23, 2026
Editorial notes
Qwen3.8 2.4T A95B combines world-class reasoning with strong coding and agentic performance, a 1M-token context, and reliable tool and function-calling support. Its premium pricing suits demanding work rather than routine volume.
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 world-class reasoning with strong coding and agentic performance, a 1M-token context, and reliable tool and function-calling support. Its premium pricing suits demanding work rather than routine volume.
How Qwen: Qwen3.8 2.4T A95B compares
Qwen: Qwen3.8 2.4T A95B ranks #11 of 433 AI models we track for overall intelligence, #20 of 206 for coding, #13 of 188 for agentic tasks. Its 1M-token context window is larger than 94% 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 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 748 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 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3.8 2.4T A95B
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
How much does Qwen: Qwen3.8 2.4T A95B cost?
Qwen: Qwen3.8 2.4T A95B 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?
Qwen: Qwen3.8 2.4T A95B has a context window of 1,048,576 tokens (1M).
Is Qwen: Qwen3.8 2.4T A95B good for coding?
On our coding benchmark index, Qwen: Qwen3.8 2.4T A95B ranks #20 of 206 models, placing it in the top quartile of the field for code generation and debugging.
What can Qwen: Qwen3.8 2.4T A95B do?
Qwen: Qwen3.8 2.4T A95B supports tool use and function calling.
Who created Qwen: Qwen3.8 2.4T A95B?
Qwen: Qwen3.8 2.4T A95B is developed by Qwen and was released on August 12, 2026.