Codestral 2 API Pricing
As of October 10, 2026, Codestral 2 costs $0.30 per 1M input tokens and $0.90 per 1M output tokens on Google Vertex AI. It has a 128,000-token context window and returns up to 128,000 tokens per response.
- Input
- $0.30 / 1M tokens
- Output
- $0.90 / 1M tokens
- Context window
- 128,000 tokens
- Max output
- 128,000 tokens
- Providers
- 1
- Added to LiteLLM
- October 2025
Codestral 2 pricing by provider
4 listings 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 | Context |
|---|---|---|---|---|
| Google Vertex AI | vertex_ai/codestral-2 | $0.30 | $0.90 | 128K |
| Google Vertex AI | vertex_ai/codestral-2@001 | $0.30 | $0.90 | 128K |
| Google Vertex AI | vertex_ai/mistralai/codestral-2 | $0.30 | $0.90 | 128K |
| Google Vertex AI | vertex_ai/mistralai/codestral-2@001 | $0.30 | $0.90 | 128K |
What Codestral 2 costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Google Vertex AI | $1.05 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Google Vertex AI | $3.18 |
Codestral 2 features
- Function calling
Use Codestral 2 with LiteLLM
Call Codestral 2 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="vertex_ai/codestral-2",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: codestral-2
litellm_params:
model: vertex_ai/codestral-2
vertex_project: os.environ/VERTEX_PROJECT
vertex_location: os.environ/VERTEX_LOCATIONcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "codestral-2",
"messages": [{"role": "user", "content": "Hello!"}]
}'Codestral 2 FAQ
How much does Codestral 2 cost?
Codestral 2 costs $0.30 per 1M input tokens and $0.90 per 1M output tokens on Google Vertex AI.
What is the context window of Codestral 2?
Codestral 2 has a 128,000-token context window and returns up to 128,000 tokens per response.
Which providers offer Codestral 2?
Codestral 2 is available from Google Vertex AI through LiteLLM, using the model name vertex_ai/codestral-2.
How do I call Codestral 2 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="vertex_ai/codestral-2", 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 Codestral 2 support?
Codestral 2 supports function calling.
When did LiteLLM add Codestral 2?
Codestral 2 was added to LiteLLM's model price file in October 2025.
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: Google Vertex AI.
Provider pages: Google Vertex AI.
