LiteLLMModels

Gemma 7B API Pricing

As of October 10, 2026, Gemma 7B costs $0.20 per 1M input tokens and $0.20 per 1M output tokens on Fireworks AI. It has an 8,192-token context window and returns up to 8,192 tokens per response.

By GoogleModel ID fireworks_ai/accounts/fireworks/models/gemma-7bPrices updated Checked
Input
$0.20 / 1M tokens
Output
$0.20 / 1M tokens
Context window
8,192 tokens
Max output
8,192 tokens
Providers
2
Added to LiteLLM
March 2025

Gemma 7B pricing by provider

2 listings across 2 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputContext
Fireworks AIfireworks_ai/accounts/fireworks/models/gemma-7b$0.20$0.208K
Snowflake Cortexsnowflake/gemma-7b––8K

What Gemma 7B costs in practice

1,000 requests with 2,000 input and 500 output tokens each

Fireworks AI$0.50

Use Gemma 7B with LiteLLM

Call Gemma 7B 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.

Python SDK
from litellm import completion

response = completion(
    model="fireworks_ai/accounts/fireworks/models/gemma-7b",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: gemma-7b
    litellm_params:
      model: fireworks_ai/accounts/fireworks/models/gemma-7b
      api_key: os.environ/FIREWORKS_AI_API_KEY
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "gemma-7b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Gemma 7B FAQ

How much does Gemma 7B cost?

Gemma 7B costs $0.20 per 1M input tokens and $0.20 per 1M output tokens on Fireworks AI.

What is the context window of Gemma 7B?

Gemma 7B has an 8,192-token context window and returns up to 8,192 tokens per response.

Which providers offer Gemma 7B?

Gemma 7B is available from 2 providers through LiteLLM: Fireworks AI and Snowflake Cortex.

How do I call Gemma 7B with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="fireworks_ai/accounts/fireworks/models/gemma-7b", 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.

When did LiteLLM add Gemma 7B?

Gemma 7B was added to LiteLLM's model price file in March 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.

LiteLLM docs: Fireworks AI, Snowflake Cortex.

Provider pages: Fireworks AI, Snowflake Cortex.