Gemini 4 Argon API Pricing and Day 0 Support on LiteLLM

LiteLLM now supports Gemini 4 Argon on Day 0. Use it on Google AI Studio and Gemini Enterprise Agent Platform (formerly Vertex AI) through the LiteLLM AI Gateway. Spend, rate limits and logs are in one place.

Gemini 4 Argon pricing​

Launch prices on Google AI Studio, per 1M tokens, until November 30, 2026:

• Input: $2.00 / MTok
• Output: $10.00 / MTok. Thinking tokens bill as output.
• Cache read: $0.10 / MTok. Argon supports implicit caching only.
• Batch and Flex: 50% off input and output

On December 1, 2026, these prices double to $4.00 input, $20.00 output and $0.20 cache read.

Prices on every provider: https://models.litellm.ai/models

What's new in Gemini 4 Argon​

• 77.9% on DeepSWE v1.1, per Google
• 1M-token context window for input and output together, with up to 65,536 output tokens for each request
• Thinking levels low, medium and high. Argon does not support thinking_budget.

Use Gemini 4 Argon with LiteLLM​

No upgrade needed: open Price Data under Models + Endpoints in the UI and click Reload Price Data (or POST /reload/model_cost_map), on v1.76.0 and above.

model_list:
  - model_name: gemini-4-argon
    litellm_params:
      model: gemini/gemini-4-argon
      api_key: os.environ/GEMINI_API_KEY

docker run -d \
  -p 4000:4000 \
  -e GEMINI_API_KEY=$GEMINI_API_KEY \
  -v $(pwd)/config.yaml:/app/config.yaml \
  ghcr.io/berriai/litellm:v1.105.0 \
  --config /app/config.yaml

model_list:
  - model_name: gemini-4-argon
    litellm_params:
      model: vertex_ai/gemini-4-argon
      vertex_project: os.environ/VERTEX_PROJECT
      vertex_location: global

docker run -d \
  -p 4000:4000 \
  -e VERTEX_PROJECT=$VERTEX_PROJECT \
  -e GOOGLE_APPLICATION_CREDENTIALS=/app/credentials.json \
  -v $(pwd)/config.yaml:/app/config.yaml \
  -v $(pwd)/credentials.json:/app/credentials.json \
  ghcr.io/berriai/litellm:v1.105.0 \
  --config /app/config.yaml

3. Test it!

curl --location 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer $LITELLM_KEY' \
--data '{
  "model": "gemini-4-argon",
  "messages": [
    {
      "role": "user",
      "content": "what llm are you"
    }
  ],
  "reasoning_effort": "high"
}'

LiteLLM sends reasoning_effort to Argon as its thinking_level.

FAQ​

How much does Gemini 4 Argon cost?​

Until November 30, 2026, it costs $2.00 per 1M input tokens and $10.00 per 1M output tokens. On December 1, the prices change to $4.00 and $20.00. Cache reads cost $0.10 per 1M tokens until then.

What is the context window of Gemini 4 Argon?​

1,048,576 tokens for input and output together. One request returns up to 65,536 output tokens by default.

How do I call Gemini 4 Argon with an OpenAI-compatible API?​

Add gemini/gemini-4-argon to your LiteLLM config. Then send a standard /chat/completions request to the proxy with "model": "gemini-4-argon".

Feedback​

Questions and feedback go in GitHub discussion #46238.

References​

• LiteLLM pricing for gemini/gemini-4-argon: PR #46227
• Google: Gemini 4 Argon announcement, model page and pricing