Qwen Models: Local AI from 0.5B to 2.4T
Qwen is the widest open-weight family in the catalog, from 0.5B models that run on iPhones up to the Qwen3.8 2.4T A95B cloud MoE. For local hardware the flagship is Qwen3.8 27B: dense, Apache 2.0, with native vision-language support, 262K context extensible to 1M, and MTP decoding. It runs with `ollama run qwen3.8:27b` on a 24GB machine. Above it, Qwen3.8-Flash-Next is a 125B total / 6B active MoE shipped as a ~123GB IQ1_S GGUF for 256GB-class machines, and the 2.4T A95B stays API-only in practice. The mid range covers Qwen3 8B (the 16GB-machine pick) and Qwen3 14B, then steps down to Qwen3.5 4B and the phone-class 0.5B models.
Alibaba Cloud34 local models+ 2 API
DEVELOPER
Alibaba Cloud
MODELS
34
SIZE RANGE
0.5B–235B
RAM RANGE
2–192 GB
Key Features
Qwen3.8 27B local flagship (Apache 2.0, vision)
Cloud line tops out at the 2.4T A95B MoE
Qwen3.8-Flash-Next: 125B MoE from 192GB RAM
Mid range: Qwen3 8B and 14B on 12-16GB Macs
Phone-class models from 0.5B, 2GB RAM
All Qwen Models
| Model | Size | Quant | VRAM | Min RAM | Best For | Quality | Ollama |
|---|---|---|---|---|---|---|---|
| Qwen2.5 0.5B Instruct | 0.5B | Q4_K_M | 0.8 GB | 2 GB | Chat, Mobile | 42 | |
| Qwen3.5 0.8B Instruct | 0.8B | Q4_K_M | 0.8 GB | 2 GB | Chat, Mobile | 56 | |
| Qwen2.5 1.5B Instruct | 1.5B | Q4_K_M | 1.5 GB | 4 GB | Chat, Translation | 55 | |
| Qwen3.5 2B Instruct | 2B | Q4_K_M | 1.8 GB | 4 GB | Chat, Edge tasks | 70 | |
| Qwen2.5 3B Instruct | 3B | Q4_K_M | 2.5 GB | 4 GB | Chat, Coding | 62 | |
| Qwen3.5 4B Instruct | 4B | Q4_K_M | 3.5 GB | 6 GB | Coding, Agents, Multimodal | 83 | |
| Qwen3.5 4B Instruct (Q8) | 4B | Q8_0 | 4.3 GB | 8 GB | Coding, Agents, Multimodal | 85 | |
| Qwen2.5 7B Instruct | 7B | Q4_K_M | 5.5 GB | 8 GB | Chat, Coding | 74 | |
| Qwen2.5 Coder 7B | 7B | Q4_K_M | 5.5 GB | 8 GB | Coding | 78 | |
| Qwen3 8B | 8B | Q4_K_M | 6.5 GB | 12 GB | Chat, Coding | 84 | |
| Qwen3 8B (Q8) | 8B | Q8_0 | 8.1 GB | 16 GB | Chat, Coding | 86 | |
| Qwen3.5 9B Instruct | 9B | Q4_K_M | 7 GB | 12 GB | Quality, Coding, Reasoning | 89 | |
| Qwen3.5 9B Instruct (Q8) | 9B | Q8_0 | 10.7 GB | 16 GB | Quality, Coding, Reasoning | 91 | |
| Qwen2.5 14B Instruct | 14B | Q4_K_M | 11 GB | 16 GB | Coding, Chat | 82 | |
| Qwen2.5 Coder 14B | 14B | Q4_K_M | 11 GB | 16 GB | Coding | 85 | |
| Qwen3 14B | 14B | Q4_K_M | 11 GB | 16 GB | Coding, Quality | 88 | |
| Qwen3 14B (Q8) | 14B | Q8_0 | 15.9 GB | 24 GB | Coding, Quality | 90 | |
| Qwen3.5 27B Instruct | 27B | Q4_K_M | 16 GB | 24 GB | Chat, Coding, Complex reasoning | 91 | |
| Qwen3.5 27B Instruct (Q8) | 27B | Q8_0 | 27.1 GB | 48 GB | Chat, Coding, Complex reasoning | 93 | |
| Qwen3.6 27B | 27B | Q4_K_M | 18 GB | 32 GB | Coding, Quality, Long context | 94 | |
| Qwen3.8 27B | 27B | Q4_K_M | 16.5 GB | 24 GB | Coding, Agent, Vision, Long context | 94 | |
| Qwen3.8 27B (Q8) | 27B | Q8_0 | 27.1 GB | 48 GB | Coding, Agent, Vision, Long context | 96 | |
| Qwen3.6 27B (Q8) | 27B | Q8_0 | 30 GB | 48 GB | Coding, Quality, Long context | 96 | |
| Qwen3 30B | 30B | Q4_K_M | 22 GB | 32 GB | Quality, Coding | 89 | |
| Qwen3 30B (Q8) | 30B | Q8_0 | 30.3 GB | 48 GB | Quality, Coding | 91 | |
| Qwen3.5 35B-A3B Instruct | 35B | Q4_K_M | 20 GB | 32 GB | Reasoning, Coding, Agent scenarios | 93 | |
| Qwen3.6 35B-A3B | 35B | Q4_K_M | 22 GB | 32 GB | Reasoning, Coding, Agents | 95 | |
| Qwen3.6 35B-A3B (Q8) | 35B | Q8_0 | 38.7 GB | 64 GB | Reasoning, Coding, Agents | 97 | |
| Qwen3.5 35B-A3B Instruct (Q8) | 35B | Q8_0 | 38.7 GB | 64 GB | Reasoning, Coding, Agent scenarios | 95 | |
| Qwen3-Next 80B-A3B | 80B | Q4_K_M | 50.4 GB | 72 GB | Chat, Coding, Long Context | 94 | |
| Qwen3-Next 80B-A3B (Q8) | 80B | Q8_0 | 84.8 GB | 128 GB | Chat, Coding, Long Context | 96 | |
| Qwen3.5 122B-A10B Instruct | 122B | Q4_K_M | 72 GB | 96 GB | Frontier-level reasoning, Complex tasks | 97 | |
| Qwen3.8-Flash-Next | 125B | IQ1_S | 123 GB | 192 GB | Agentic coding, Reasoning, Multimodal | 92 | N/A |
| Qwen3 235B A22B | 235B | Q4_K_M | 130 GB | 192 GB | Quality, Reasoning | 98 |
Cloud / API-only models
Weights are open but far beyond consumer hardware — these run as APIs. Each page lists the local alternatives.
| Model | Size | Access | Best For |
|---|---|---|---|
| Qwen3.7-Plus | Undisclosed | API only | Multimodal, Agentic, Vision |
| Qwen3.8 2.4T A95B | 2400B | API only | Frontier reasoning, Agentic coding |
Device Compatibility
Which Qwen models can run on each device class, based on minimum RAM requirements.
| Model | iPhone | Air | Pro | Studio | Mini |
|---|---|---|---|---|---|
| Qwen2.5 0.5B Instruct (0.5B) | Excellent | Excellent | Excellent | Excellent | Excellent |
| Qwen3.5 0.8B Instruct (0.8B) | Excellent | Excellent | Excellent | Excellent | Excellent |
| Qwen2.5 1.5B Instruct (1.5B) | Excellent | Excellent | Excellent | Excellent | Excellent |
| Qwen3.5 2B Instruct (2B) | Excellent | Excellent | Excellent | Excellent | Excellent |
| Qwen2.5 3B Instruct (3B) | Excellent | Excellent | Excellent | Excellent | Excellent |
| Qwen3.5 4B Instruct (4B) | Possible | Possible | Excellent | Excellent | Excellent |
| Qwen3.5 4B Instruct (Q8) (4B) | Possible | Possible | Excellent | Excellent | Excellent |
| Qwen2.5 7B Instruct (7B) | Possible | Possible | Excellent | Excellent | Excellent |
| Qwen2.5 Coder 7B (7B) | Possible | Possible | Excellent | Excellent | Excellent |
| Qwen3 8B (8B) | Possible | Possible | Possible | Excellent | Possible |
| Qwen3 8B (Q8) (8B) | No | Possible | Possible | Excellent | Possible |
| Qwen3.5 9B Instruct (9B) | Possible | Possible | Possible | Excellent | Possible |
| Qwen3.5 9B Instruct (Q8) (9B) | No | Possible | Possible | Excellent | Possible |
| Qwen2.5 14B Instruct (14B) | No | Possible | Possible | Excellent | Possible |
| Qwen2.5 Coder 14B (14B) | No | Possible | Possible | Excellent | Possible |
| Qwen3 14B (14B) | No | Possible | Possible | Excellent | Possible |
| Qwen3 14B (Q8) (14B) | No | Possible | Possible | Possible | Possible |
| Qwen3.5 27B Instruct (27B) | No | Possible | Possible | Possible | Possible |
| Qwen3.5 27B Instruct (Q8) (27B) | No | No | Possible | Possible | Possible |
| Qwen3.6 27B (27B) | No | Possible | Possible | Possible | Possible |
| Qwen3.8 27B (27B) | No | Possible | Possible | Possible | Possible |
| Qwen3.8 27B (Q8) (27B) | No | No | Possible | Possible | Possible |
| Qwen3.6 27B (Q8) (27B) | No | No | Possible | Possible | Possible |
| Qwen3 30B (30B) | No | Possible | Possible | Possible | Possible |
| Qwen3 30B (Q8) (30B) | No | No | Possible | Possible | Possible |
| Qwen3.5 35B-A3B Instruct (35B) | No | Possible | Possible | Possible | Possible |
| Qwen3.6 35B-A3B (35B) | No | Possible | Possible | Possible | Possible |
| Qwen3.6 35B-A3B (Q8) (35B) | No | No | Possible | Possible | Possible |
| Qwen3.5 35B-A3B Instruct (Q8) (35B) | No | No | Possible | Possible | Possible |
| Qwen3-Next 80B-A3B (80B) | No | No | Possible | Possible | No |
| Qwen3-Next 80B-A3B (Q8) (80B) | No | No | Possible | Possible | No |
| Qwen3.5 122B-A10B Instruct (122B) | No | No | Possible | Possible | No |
| Qwen3.8-Flash-Next (125B) | No | No | No | Possible | No |
| Qwen3 235B A22B (235B) | No | No | No | Possible | No |
RAM Requirements
0.8 GB · min 2 GB
0.8 GB · min 2 GB
1.5 GB · min 4 GB
1.8 GB · min 4 GB
2.5 GB · min 4 GB
3.5 GB · min 6 GB
4.3 GB · min 8 GB
5.5 GB · min 8 GB
5.5 GB · min 8 GB
6.5 GB · min 12 GB
8.1 GB · min 16 GB
7 GB · min 12 GB
10.7 GB · min 16 GB
11 GB · min 16 GB
11 GB · min 16 GB
11 GB · min 16 GB
15.9 GB · min 24 GB
16 GB · min 24 GB
27.1 GB · min 48 GB
18 GB · min 32 GB
16.5 GB · min 24 GB
27.1 GB · min 48 GB
30 GB · min 48 GB
22 GB · min 32 GB
30.3 GB · min 48 GB
20 GB · min 32 GB
22 GB · min 32 GB
38.7 GB · min 64 GB
38.7 GB · min 64 GB
50.4 GB · min 72 GB
84.8 GB · min 128 GB
72 GB · min 96 GB
123 GB · min 192 GB
130 GB · min 192 GB
Frequently Asked Questions
What is the best Qwen model for 16GB RAM?
Qwen3 8B is the 16GB-machine pick: `ollama run qwen3:8b-q4_K_M` needs 12GB RAM minimum and loads about 6.5GB. With more headroom, Qwen3.8 27B is the local flagship via `ollama run qwen3.8:27b` at 24GB RAM.
Can the newest Qwen flagship run locally?
Qwen3.8 2.4T A95B is API-only in practice. Its BF16 weights are public on Hugging Face under the Qwen3.8-Max license, but no consumer build is registry-verified. The closest local experience is Qwen3.8-Flash-Next, a 125B / 6B active MoE with a 192GB RAM floor.
What Ollama command runs Qwen3.8 27B?
Run `ollama run qwen3.8:27b` on a machine with 24GB RAM minimum, a load of about 16.5GB. The higher-fidelity Q8 build, `ollama run qwen3.8:27b-q8_0`, wants 48GB.
Can I run Qwen on an iPhone?
Yes. Qwen2.5 0.5B runs from 2GB RAM with `ollama run qwen2.5:0.5b-instruct-q4_K_M`, and Qwen3.5 0.8B (`ollama run qwen3.5:0.8b`) also needs just 2GB. Quality is basic but useful for chat and translation.
What is Qwen3.8-Flash-Next?
It is a 125B total / 6B active MoE from the Qwen3.8 line, shipped as a ~123GB IQ1_S GGUF with a 192GB RAM floor, so it targets 256GB-class machines. There was no Ollama tag at release, so it runs through llama.cpp and similar runners rather than Ollama.
