Qwen: Qwen3.8 2.4T A95B
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 28, 2026. Arena ratings from the Oct 22, 2026 text leaderboard, with style control.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How Qwen: Qwen3.8 2.4T A95B compares
Qwen: Qwen3.8 2.4T A95B ranks #36 of 445 AI models we track for overall intelligence, #25 of 199 for coding, #21 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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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..
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 #25 of 199 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.