Try Bifrost Enterprise free for 14 days.
Request access

gemini-4-argon:batch Cost Calculator - OpenRouter

Calculate the cost of using gemini-4-argon:batch from OpenRouter for your AI applications

Pricing data last updated:

gemini-4-argon:batch Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 943,718 tokens

Cost Breakdown

Input Cost$0.001000
Output Cost$0.005000
Total Cost$0.006000

Pricing Details

Input: $0.00000100 per token
Output: $0.00000500 per token
Output Image: $0.00000100 per image
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Model Specifications

Capabilities

✓Function Calling
✓Vision
✓Reasoning
✓Audio Input

Limits

Max Input Tokens1,048,576
Max Output Tokens943,718
Max Tokens943,718

About gemini-4-argon:batch

gemini-4-argon:batch is a chat model from OpenRouter, one of 502 chat models they offer. It is priced at $1.00 per 1M input tokens and $5.00 per 1M output tokens, ranking 2363 out of 3778 chat models by cost and cheaper than 37% of models in this category. gemini-4-argon:batch supports vision, function calling, reasoning, audio input, prompt caching, structured output. Its 1,049K-token context window is in the top 14% among chat models.

Pricing Information

Input Cost$1.00 per 1M tokens
Output Cost$5.00 per 1M tokens
Image Output Cost$0.0000 per image

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens1,048,576
Maximum Output Tokens943,718
Maximum Total Tokens943,718

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,048,576 input tokens. The maximum output length is 943,718 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Vision - Process and understand images
✓Audio Input - Accept audio data as input
✓Advanced Reasoning - Complex problem-solving capabilities
✓Prompt Caching - Optimize repeated prompts
✓Response Schema - Structured output formatting

How gemini-4-argon:batch Pricing Compares

At $1.00 per 1M input tokens and $5.00 per 1M output tokens, gemini-4-argon:batch ranks 2363 out of 3778 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 37% of models in this category.

gemini-4-argon:batch is one of 502 OpenRouter chat models, with support for vision, function calling, reasoning, audio input, prompt caching, structured output. its 1,049K-token context window places it in the top 14% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs gemini-4-argon:batch
gemini-robotics-er-2-previewGoogle Gemini$1.00$5.000%
gemini-robotics-er-2-previewVertex AI$1.00$5.000%
anthropic.claude-haiku-4-5-20251001-v1:0AWS Bedrock$1.00$5.000%

Alternatives to gemini-4-argon:batch

Similar chat models from other providers

Google Gemini
gemini-robotics-er-2-preview
$1.00/1M input
0% vs gemini-4-argon:batch
Vertex AI
gemini-robotics-er-2-preview
$1.00/1M input
0% vs gemini-4-argon:batch
AWS Bedrock
anthropic.claude-haiku-4-5-20251001-v1:0
$1.00/1M input
0% vs gemini-4-argon:batch
AWS Bedrock
anthropic.claude-haiku-4-5@20251001
$1.00/1M input
0% vs gemini-4-argon:batch
AWS Bedrock
apac.anthropic.claude-haiku-4-5-20251001-v1:0
$1.10/1M input
+10% vs gemini-4-argon:batch

Frequently Asked Questions

Is gemini-4-argon:batch cheaper than gemini-robotics-er-2-preview?

No. gemini-4-argon:batch costs $1.00 per 1M input tokens while gemini-robotics-er-2-preview costs $1.00 per 1M input tokens, making gemini-robotics-er-2-preview 0% more affordable for input. However, gemini-4-argon:batch may offer different capabilities or performance characteristics that justify the price difference.

How does gemini-4-argon:batch pricing compare to the average chat model?

gemini-4-argon:batch input pricing is $1.00 per 1M tokens, which is 67% above the median of $0.60 for chat models. It ranks 2363 out of 3778 chat models by input cost, making it cheaper than 37% of models in this category. For output, it costs $5.00 per 1M tokens compared to the median of $1.75.

What makes gemini-4-argon:batch different from other OpenRouter models?

Among OpenRouter's 502 chat models, gemini-4-argon:batch ranks 283 by input cost.

What are the best alternatives to gemini-4-argon:batch?

The most comparable chat models to gemini-4-argon:batch are: gemini-robotics-er-2-preview from Google Gemini ($1.00/1M input tokens); gemini-robotics-er-2-preview from Vertex AI ($1.00/1M input tokens); anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.00/1M input tokens); anthropic.claude-haiku-4-5@20251001 from AWS Bedrock ($1.00/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.

How large is gemini-4-argon:batch's context window?

gemini-4-argon:batch supports up to 1,048,576 input tokens, placing it in the top 14% of chat models by context window size (rank 356 of 3499). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if OpenRouter is down?

You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.

How do I calculate gemini-4-argon:batch costs?

gemini-4-argon:batch is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $1.00 and generating 1M output tokens costs $5.00.