Mistral 7B V0.3 API Pricing
As of October 10, 2026, Mistral 7B V0.3 costs $0.10 per 1M input tokens and $0.15 per 1M output tokens on LlamaGate. It has a 32,768-token context window and returns up to 8,192 tokens per response.
- Input
- $0.10 / 1M tokens
- Output
- $0.15 / 1M tokens
- Context window
- 32,768 tokens
- Max output
- 8,192 tokens
- Providers
- 1
- Added to LiteLLM
- January 2026
Mistral 7B V0.3 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 | Context |
|---|---|---|---|---|
| LlamaGate | llamagate/mistral-7b-v0.3 | $0.10 | $0.15 | 32K |
What Mistral 7B V0.3 costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| LlamaGate | $0.275 |
Mistral 7B V0.3 features
- Function calling
- Structured output
Use Mistral 7B V0.3 with LiteLLM
Call Mistral 7B V0.3 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="llamagate/mistral-7b-v0.3",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: mistral-7b-v0.3
litellm_params:
model: llamagate/mistral-7b-v0.3
# 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": "mistral-7b-v0.3",
"messages": [{"role": "user", "content": "Hello!"}]
}'Mistral 7B V0.3 FAQ
How much does Mistral 7B V0.3 cost?
Mistral 7B V0.3 costs $0.10 per 1M input tokens and $0.15 per 1M output tokens on LlamaGate.
What is the context window of Mistral 7B V0.3?
Mistral 7B V0.3 has a 32,768-token context window and returns up to 8,192 tokens per response.
Which providers offer Mistral 7B V0.3?
Mistral 7B V0.3 is available from LlamaGate through LiteLLM, using the model name llamagate/mistral-7b-v0.3.
How do I call Mistral 7B V0.3 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="llamagate/mistral-7b-v0.3", 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 Mistral 7B V0.3 support?
Mistral 7B V0.3 supports function calling and structured output.
When did LiteLLM add Mistral 7B V0.3?
Mistral 7B V0.3 was added to LiteLLM's model price file in January 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.
LiteLLM docs: LlamaGate.
Provider pages: LlamaGate.
