Qwen3.8 2.4t A95B API Pricing
As of October 10, 2026, Qwen3.8 2.4t A95B costs $2.00 per 1M input tokens and $6.00 per 1M output tokens from AIHubMix, the lowest of 3 providers, with cache reads at $0.50 per 1M tokens. It has a 1,000,000-token context window and returns up to 131,072 tokens per response.
- Input
- $2.00 / 1M tokens
- Output
- $6.00 / 1M tokens
- Cache read
- $0.50 / 1M tokens
- Context window
- 1,000,000 tokens
- Max output
- 131,072 tokens
- Providers
- 3
- Added to LiteLLM
- August 25, 2026
Qwen3.8 2.4t A95B pricing by provider
3 listings across 3 providers. 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 | Context |
|---|---|---|---|---|---|
| AIHubMix | aihubmix/qwen3.8-2.4t-a95b | $2.00 | $6.00 | $0.50 | 1M |
| DeepInfra | deepinfra/Qwen/Qwen3.8-2.4T-A95B | $2.00 | $6.00 | $0.20 | 256K |
| Together AI | together_ai/Qwen/Qwen3.8-2.4T-A95B | $2.00 | $6.00 | $0.25 | 1M |
What Qwen3.8 2.4t A95B costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| AIHubMix | $7.00 |
| DeepInfra | $7.00 |
| Together AI | $7.00 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| AIHubMix | $21.20 |
| DeepInfra | $21.20 |
| Together AI | $21.20 |
Qwen3.8 2.4t A95B features
- Function calling
- Structured output
- Reasoning
- Prompt caching
- Web search
Use Qwen3.8 2.4t A95B with LiteLLM
Call Qwen3.8 2.4t A95B 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="aihubmix/qwen3.8-2.4t-a95b",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen3.8-2.4t-a95b
litellm_params:
model: aihubmix/qwen3.8-2.4t-a95b
# 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": "qwen3.8-2.4t-a95b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen3.8 2.4t A95B FAQ
How much does Qwen3.8 2.4t A95B cost?
Qwen3.8 2.4t A95B costs $2.00 per 1M input tokens and $6.00 per 1M output tokens from AIHubMix, the lowest of 3 providers, with cache reads at $0.50 per 1M tokens.
What is the context window of Qwen3.8 2.4t A95B?
Qwen3.8 2.4t A95B has a 1,000,000-token context window and returns up to 131,072 tokens per response.
Which providers offer Qwen3.8 2.4t A95B?
Qwen3.8 2.4t A95B is available from 3 providers through LiteLLM: AIHubMix, DeepInfra and Together AI.
How do I call Qwen3.8 2.4t A95B with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="aihubmix/qwen3.8-2.4t-a95b", 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 Qwen3.8 2.4t A95B support?
Qwen3.8 2.4t A95B supports function calling, structured output, reasoning, prompt caching and web search.
When did LiteLLM add Qwen3.8 2.4t A95B?
Qwen3.8 2.4t A95B was added to LiteLLM's model price file on August 25, 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: AIHubMix, DeepInfra, Together AI.
Provider pages: AIHubMix, DeepInfra, Together AI.