Qwen3 235B A22B Thinking 2507
By Qwen. 235.1 billion parameters, a context window of 262,144 tokens and the licence apache-2.0.
Facts
- Released
- 2025-07-25 the day the repository was first published on Hugging Face Hugging Face, read
- Licence
- apache-2.0 the licence the model card declares Hugging Face, read
- Open weights
- Yes the weights are published in this Hugging Face repository Hugging Face, read
- Parameters
- 235.1 billion counted from the safetensors weight files Hugging Face, read
- Active parameters
- 22.2 billion estimate estimated from the expert counts and sizes in the configuration model configuration, read
- Knowledge cutoff
- 2025-06-30 the knowledge cutoff OpenRouter lists OpenRouter, read
- Context window
- 262,144 tokens the maximum position embeddings in the model configuration model configuration, read
- 131,072 tokens the context length OpenRouter lists OpenRouter, read
- Longest output
- 117,964 tokens the largest output OpenRouter's first provider allows OpenRouter, read
- Tool calling
- Yes the chat template in the tokenizer configuration accepts tool definitions Hugging Face, read
- Yes OpenRouter lists tools among the supported parameters OpenRouter, read
- Structured output
- Yes OpenRouter lists response_format, a JSON mode, among the supported parameters OpenRouter, read
- Reasoning controls
- Yes OpenRouter lists reasoning controls OpenRouter, read
- Inputs and outputs
- text in, text out Hugging Face, read
- Good for
- Reasoning: OpenRouter lists reasoning controls for it OpenRouter, read
Prices
| Provider | Input | Output | Context | As of | Source |
|---|---|---|---|---|---|
| ModelScope direct | 0 USD | 0 USD | 262,144 | older than 30 days; check the provider | models.dev, read |
| IO.NET direct | 0.110 USD | 0.600 USD | 262,144 | older than 30 days; check the provider | models.dev, read |
| SiliconFlow (China) direct | 0.130 USD | 0.600 USD | 262,000 | older than 30 days; check the provider | models.dev, read |
| submodel direct | 0.200 USD | 0.600 USD | 262,144 | older than 30 days; check the provider | models.dev, read |
| Alibaba through OpenRouter | 0.230 USD | 2.30 USD | 131,072 | OpenRouter endpoints, read | |
| Kilo Gateway direct | 0.230 USD | 2.30 USD | 131,072 | older than 30 days; check the provider | models.dev, read |
| OpenRouter direct | 0.230 USD | 2.30 USD | 131,072 | older than 30 days; check the provider | models.dev, read |
| Hugging Face direct | 0.300 USD | 3.00 USD | 262,144 | older than 30 days; check the provider | models.dev, read |
| Jiekou.AI direct | 0.300 USD | 3.00 USD | 131,072 | models.dev, read | |
| Novita through OpenRouter | 0.300 USD | 3.00 USD | 131,072 | OpenRouter endpoints, read | |
| NovitaAI direct | 0.300 USD | 3.00 USD | 131,072 | older than 30 days; check the provider | models.dev, read |
| Venice through OpenRouter | 0.450 USD | 3.50 USD | 128,000 | OpenRouter endpoints, read |
Run it on your own hardware
Weights are the sizes of the files a source lists, or an estimate from the parameter count where none does. Memory is an estimate: weights plus KV cache plus 512 MiB and 5 percent of the weights for runtime buffers. Check it against your hardware.
| Quantization | Weights | Memory at 8,192 tokens | Memory at 32,768 tokens |
|---|---|---|---|
| Q2_K | 79.8 GiB | 85.8 GiB | 90.2 GiB |
| Q2_K_L | 79.9 GiB | 85.9 GiB | 90.3 GiB |
| UD-Q2_K_XL | 82.1 GiB | 88.1 GiB | 92.5 GiB |
| Q3_K_S | 94.5 GiB | 101 GiB | 106 GiB |
| UD-Q3_K_XL | 96.7 GiB | 104 GiB | 108 GiB |
| Q3_K_M | 105 GiB | 112 GiB | 116 GiB |
| IQ4_XS | 117 GiB | 125 GiB | 129 GiB |
| Q4_0 | 124 GiB | 132 GiB | 137 GiB |
| Q4_K_S | 125 GiB | 133 GiB | 137 GiB |
| UD-Q4_K_XL | 125 GiB | 133 GiB | 138 GiB |
| Q4_K_M | 132 GiB | 141 GiB | 145 GiB |
| Q4_1 | 137 GiB | 146 GiB | 150 GiB |
| Q5_K_S | 151 GiB | 160 GiB | 165 GiB |
| UD-Q5_K_XL | 155 GiB | 165 GiB | 169 GiB |
| Q5_K_M | 155 GiB | 165 GiB | 170 GiB |
| Q6_K | 180 GiB | 191 GiB | 195 GiB |
| UD-Q6_K_XL | 185 GiB | 196 GiB | 201 GiB |
| Q8_0 | 233 GiB | 246 GiB | 251 GiB |
| UD-Q8_K_XL | 247 GiB | 261 GiB | 266 GiB |
| BF16 | 438 GiB | 462 GiB | 466 GiB |
Start it with a local runtime
- Ollama
ollama run hf.co/unsloth/Qwen3-235B-A22B-Thinking-2507-GGUF:Q4_0 - LM Studio
lms get unsloth/Qwen3-235B-A22B-Thinking-2507-GGUF lms server start - llama.cpp server
llama-server -hf unsloth/Qwen3-235B-A22B-Thinking-2507-GGUF:Q4_0 --jinja - vLLM
vllm serve Qwen/Qwen3-235B-A22B-Thinking-2507 - SGLang
sglang serve --model-path Qwen/Qwen3-235B-A22B-Thinking-2507 --port 30000
Use it from your harness
Set up for Hugging Face with the model Qwen/Qwen3-235B-A22B-Thinking-2507. Each endpoint page has the same setup for its own address.
OpenCode
Put this in opencode.json in your project folder:
{
"$schema": "https://opencode.ai/config.json",
"provider": {
"huggingface": {
"npm": "@ai-sdk/openai-compatible",
"name": "Hugging Face",
"options": {
"baseURL": "https://router.huggingface.co/v1",
"apiKey": "{env:HF_TOKEN}"
},
"models": {
"Qwen/Qwen3-235B-A22B-Thinking-2507": {
"name": "Qwen3 235B A22B Thinking 2507",
"limit": {
"context": 262144,
"output": 117964
}
}
}
}
}
}- OpenCode reads any OpenAI-compatible address through the @ai-sdk/openai-compatible package, and an address that speaks the Responses API through @ai-sdk/openai.
From OpenCode documentation, read .
Pi
Put this in ~/.pi/agent/models.json:
{
"providers": {
"huggingface": {
"baseUrl": "https://router.huggingface.co/v1",
"api": "openai-completions",
"apiKey": "$HF_TOKEN",
"models": [
{
"id": "Qwen/Qwen3-235B-A22B-Thinking-2507"
}
]
}
}
}- The apiKey field can name an environment variable as $NAME.
From Pi documentation, read .
Codex
Codex speaks only the Responses API, and Hugging Face documents no Responses address. A gateway that offers one can sit in between.
- Codex speaks the Responses API only: responses is the one supported wire API of a custom provider. Ollama and LM Studio are built in and start with --oss.
From Codex documentation, read .
Claude Code
Claude Code sends Anthropic Messages requests, and Hugging Face documents no such address. A gateway that translates to that API can sit in between.
- Claude Code sends Anthropic Messages requests to ANTHROPIC_BASE_URL. Anthropic says it does not support routing Claude Code to models other than Claude through any gateway, so some features may not work with another model.
From Claude Code documentation, read .
Other ways to reach it
- IO.NET, model
Qwen/Qwen3-235B-A22B-Thinking-2507 - Jiekou.AI, model
qwen/qwen3-235b-a22b-thinking-2507 - Kilo Gateway, model
qwen/qwen3-235b-a22b-thinking-2507 - ModelScope, model
Qwen/Qwen3-235B-A22B-Thinking-2507 - NovitaAI, model
qwen/qwen3-235b-a22b-thinking-2507 - OpenRouter, model
qwen/qwen3-235b-a22b-thinking-2507 - SiliconFlow (China), model
Qwen/Qwen3-235B-A22B-Thinking-2507 - submodel, model
Qwen/Qwen3-235B-A22B-Thinking-2507 - Ollama, model
hf.co/unsloth/Qwen3-235B-A22B-Thinking-2507-GGUF:Q4_0
Published results
These are results other people published. Baltor did not run them and does not rank models by them.
- Results the maker published on the model card published by Qwen Hugging Face, read
- Artificial Analysis Intelligence Index: 12.7 published by Artificial Analysis OpenRouter, read
- Artificial Analysis Coding Index: 22.1 published by Artificial Analysis OpenRouter, read
- Artificial Analysis Agentic Index: 1.3 published by Artificial Analysis OpenRouter, read
Sources of this page
- huggingface.co/api/models/Qwen/Qwen3-235B-A22B-Thinking-2507, read
- huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507/raw/main/config.json, read
- huggingface.co/api/models/unsloth/Qwen3-235B-A22B-Thinking-2507-GGUF/tree/main, read
- openrouter.ai/api/v1/models/qwen/qwen3-235b-a22b-thinking-2507/endpoints, read
- openrouter.ai/api/v1/models, read
- models.dev/api.json, read
Paid links
No link in this directory is a paid link or an ad, and no listing is paid for. The order and the contents of every list come from the sources named on this page.