Analysis Summary
Qwen3.8 2.4T A95B is a frontier-scale general model with the strongest measured reasoning profile in this batch. It also combines strong coding and agentic capability with a 1M token context window, tool use, and function calling, making it suitable for complex software work, research, and long-running task orchestration.
Design for Online could deploy it for high-stakes technical analysis, autonomous coding support, large document synthesis, and strategic content workflows where errors are costly. The text-only interface is less suitable for media-heavy tasks than multimodal alternatives. Listed pricing of $2 per million input tokens and $6 per million output tokens is premium, so reserve it for work that benefits from its depth and route routine production elsewhere.
Assessed September 7, 2026
Editorial notes
Qwen3.8 2.4T A95B delivers world-class reasoning, strong coding and agentic performance, a 1M context window, and tool calling. Its premium output rate suits demanding analysis and autonomous workflows 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 delivers world-class reasoning, strong coding and agentic performance, a 1M context window, and tool calling. Its premium output rate suits demanding analysis and autonomous workflows rather than routine volume.
How Qwen: Qwen3.8 2.4T A95B compares
Qwen: Qwen3.8 2.4T A95B ranks #2 of 438 AI models we track for overall intelligence, #22 of 210 for coding, #7 of 192 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 776 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 #22 of 210 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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 17, 2026 8:38 pm