Analysis Summary
Qwen3.8 2.4T A95B is a high-capability Qwen model with standout reasoning, strong coding and agentic results, and a 1M-token context window. Tool use and function calling support workflows that need more than one-turn text generation, while the supplied modality is text only.
For business teams, it is a strong choice for code assistance, complex document analysis, and tool-using agents that need to work across large inputs. Its reasoning and coding profile also suits research and structured content workflows. Teams that depend on image understanding will need a separate model, since image input is not listed.
At $2 per million input tokens and $6 per million output tokens, it is priced below many premium models while offering frontier-level capability. Adopt it as a leading option for demanding workflows where long context and strong reasoning matter.
Assessed September 23, 2026
Editorial notes
Qwen3.8 2.4T A95B combines frontier reasoning, strong coding and agentic performance, a 1M-token context window, and tool calling at $2 input and $6 output per million tokens.
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 frontier reasoning, strong coding and agentic performance, a 1M-token context window, and tool calling at $2 input and $6 output per million tokens.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
How Qwen: Qwen3.8 2.4T A95B compares
Qwen: Qwen3.8 2.4T A95B ranks #25 of 435 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 95% 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 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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These numbers get smaller with the right architecture.
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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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<a href="https://designforonline.com/ai-models/qwen-qwen3-8-2-4t-a95b/"><img src="https://designforonline.com/?aiml_badge=qwen-qwen3-8-2-4t-a95b&theme=dark" alt="Qwen: Qwen3.8 2.4T A95B, ranked #25 on the Design for Online AI Leaderboard" width="400" height="76"></a>
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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 #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 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.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 8, 2026 8:39 pm