Dataset updated 2026-10-31Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B publishes its weights, but at 2400B parameters (95B active per token) no consumer machine holds the checkpoint. This page covers the access paths that work and the open models that actually run locally.
- Parameters
- 2400B(95B active)
- Format
- API
- Runs locally
- No
- Best for
- Frontier reasoning, Agentic coding
Why you can't run Qwen3.8 2.4T A95B locally
At 2400B parameters (95B active per token), a Q4-class build of Qwen3.8 2.4T A95B would need roughly 1,440 GB, beyond any consumer machine. That figure is arithmetic, not opinion: 0.6 GB per billion parameters is the standard Q4 rule we apply across the whole catalog. The weights themselves are public (official source linked below); capacity, not licensing, is the wall.
What works instead: the hosted API. For most workloads, the open models below deliver the same job on hardware that fits under a desk.
Aug 12, 2026 Qwen flagship cloud MoE. 2.4T total parameters, 95B active (512 experts, 10 routed per token), BF16 weights on Hugging Face under the Qwen3.8-Max license (not Apache). Always-on thinking with adjustable reasoning effort. API-only in practice - no consumer hardware comes close.
What to run locally instead of Qwen3.8 2.4T A95B
| Model | Params | Runs on | Use |
|---|---|---|---|
| Qwen3 235B A22B | 235B | from 192 GB machines | quality |
| Qwen3.5 122B-A10B Instruct | 122B | from 96 GB machines | frontier-level reasoning |
| DeepSeek-R1 671B | 671B | from 512 GB machines | reasoning |
More Qwen models
27 pages- Qwen3.7-Plus
- Qwen2.5 0.5B Instruct
- Qwen3.5 0.8B Instruct
- Qwen2.5 1.5B Instruct
- Qwen3.5 2B Instruct
- Qwen2.5 3B Instruct
- Qwen3.5 4B Instruct
- Qwen2.5 7B Instruct
- Qwen2.5 Coder 7B
- Qwen3 8B
- Qwen3.5 9B Instruct
- Qwen2.5 14B Instruct
- Qwen2.5 Coder 14B
- Qwen3 14B
- Qwen3.5 27B Instruct
- Qwen3.6 27B
- Qwen3.8 27B
- Qwen3 30B
- Qwen3 30B (Q8)
- Qwen3 Coder 30B-A3B
- Qwen3 32B
- Qwen3.5 35B-A3B Instruct
- Qwen3.6 35B-A3B
- Qwen3-Next 80B-A3B
- Qwen3.5 122B-A10B Instruct
- Qwen3.8-Flash-Next
- Qwen3 235B A22B
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Frequently asked questions
Can I run Qwen3.8 2.4T A95B locally?
Not on hardware you can buy. The weights are public, but Qwen3.8 2.4T A95B is a 2400B-parameter model (95B active), and a Q4-class build would need roughly 1,440 GB, beyond any consumer machine. Until the ecosystem ships a smaller official build, the API or a smaller open model is the practical path.
How do I access Qwen3.8 2.4T A95B?
Through the vendor's hosted API. The official source is linked on this page.
What is the best local alternative to Qwen3.8 2.4T A95B?
Qwen3 235B A22B is the strongest local model we track (235B, from 192 GB machines), with Qwen3.5 122B-A10B Instruct close behind. Both run on a single high-memory Mac or GPU, see their pages for exact hardware.
Cite this page
ModelFit: Qwen3.8 2.4T A95B, specs, memory math and hardware verdicts. https://modelfit.io/models/qwen3.8-2.4t-a95b (dataset updated 2026-10-31, CC BY 4.0).