Qwen35 122B A10B API Pricing
As of October 10, 2026, Qwen35 122B A10B costs $0.22 per 1M input tokens and $2.20 per 1M output tokens on Databricks, with cache reads at $0.22 and cache writes at $0.22 per 1M tokens. It has a 262,144-token context window and returns up to 25,000 tokens per response.
- Input
- $0.22 / 1M tokens
- Output
- $2.20 / 1M tokens
- Cache read
- $0.22 / 1M tokens
- Context window
- 262,144 tokens
- Max output
- 25,000 tokens
- Providers
- 1
- Added to LiteLLM
- September 4, 2026
Qwen35 122B A10B pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Cache write | Context |
|---|---|---|---|---|---|---|
| Databricks | databricks/databricks-qwen35-122b-a10b | $0.22 | $2.20 | $0.22 | $0.22 | 256K |
What Qwen35 122B A10B costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Databricks | $1.54 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Databricks | $2.64 |
Qwen35 122B A10B features
Input: text. Output: text.
- Function calling
- Image input
- Reasoning
Use Qwen35 122B A10B with LiteLLM
Call Qwen35 122B A10B through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="databricks/databricks-qwen35-122b-a10b",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen35-122b-a10b
litellm_params:
model: databricks/databricks-qwen35-122b-a10b
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "qwen35-122b-a10b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen35 122B A10B FAQ
How much does Qwen35 122B A10B cost?
Qwen35 122B A10B costs $0.22 per 1M input tokens and $2.20 per 1M output tokens on Databricks, with cache reads at $0.22 and cache writes at $0.22 per 1M tokens.
What is the context window of Qwen35 122B A10B?
Qwen35 122B A10B has a 262,144-token context window and returns up to 25,000 tokens per response.
Which providers offer Qwen35 122B A10B?
Qwen35 122B A10B is available from Databricks through LiteLLM, using the model name databricks/databricks-qwen35-122b-a10b.
How do I call Qwen35 122B A10B with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="databricks/databricks-qwen35-122b-a10b", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
What features does Qwen35 122B A10B support?
Qwen35 122B A10B supports function calling and reasoning. It does not support image input.
When did LiteLLM add Qwen35 122B A10B?
Qwen35 122B A10B was added to LiteLLM's model price file on September 4, 2026.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
LiteLLM docs: Databricks.
Provider pages: Databricks.
