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google:gemini@3.7-flash Cost Calculator - Runware

Calculate the cost of using google:gemini@3.7-flash from Runware for your AI applications

Pricing data last updated:

google:gemini@3.7-flash Cost Calculator

Mode: Chat

Cost Breakdown

Input Cost$0.00075000
Output Cost$0.003750
Total Cost$0.004500

Pricing Details

Input: $0.0000007500 per token
Output: $0.00000375 per token
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About google:gemini@3.7-flash

google:gemini@3.7-flash is a chat model from Runware, one of 3 chat models they offer. It is priced at $0.75 per 1M input tokens and $3.75 per 1M output tokens, ranking 1905 out of 3254 chat models by cost and cheaper than 41% of models in this category.

Pricing Information

Input Cost$0.75 per 1M tokens
Output Cost$3.75 per 1M tokens

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

How google:gemini@3.7-flash Pricing Compares

At $0.75 per 1M input tokens and $3.75 per 1M output tokens, google:gemini@3.7-flash ranks 1905 out of 3254 chat models by input cost. It is more expensive compared to the median of $0.52 for chat models, and is cheaper than 41% of models in this category.

ModelProviderInput / 1M tokensOutput / 1M tokensvs google:gemini@3.7-flash
amazon.nova-pro-v1:0AWS Bedrock$0.80$3.20+7%
anthropic.claude-3-5-haiku-20241022-v1:0AWS Bedrock$0.80$4.00+7%
anthropic.claude-instant-v1AWS Bedrock$0.80$2.40+7%

Alternatives to google:gemini@3.7-flash

Similar chat models from other providers

AWS Bedrock
amazon.nova-pro-v1:0
$0.80/1M input
+7% vs google:gemini@3.7-flash
AWS Bedrock
anthropic.claude-3-5-haiku-20241022-v1:0
$0.80/1M input
+7% vs google:gemini@3.7-flash
AWS Bedrock
anthropic.claude-instant-v1
$0.80/1M input
+7% vs google:gemini@3.7-flash
Anyscale
Mixtral-8x22B-Instruct-v0.1
$0.90/1M input
+20% vs google:gemini@3.7-flash
AWS Bedrock
apac.amazon.nova-pro-v1:0
$0.84/1M input
+12% vs google:gemini@3.7-flash

Frequently Asked Questions

Is google:gemini@3.7-flash cheaper than amazon.nova-pro-v1:0?

Yes. google:gemini@3.7-flash costs $0.75 per 1M input tokens compared to amazon.nova-pro-v1:0's $0.80 per 1M input tokens, making it 7% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output.

How does google:gemini@3.7-flash pricing compare to the average chat model?

google:gemini@3.7-flash input pricing is $0.75 per 1M tokens, which is 45% above the median of $0.52 for chat models. It ranks 1905 out of 3254 chat models by input cost, making it cheaper than 41% of models in this category. For output, it costs $3.75 per 1M tokens compared to the median of $1.50.

What makes google:gemini@3.7-flash different from other Runware models?

Among Runware's 3 chat models, google:gemini@3.7-flash ranks 3 by input cost.

What are the best alternatives to google:gemini@3.7-flash?

The most comparable chat models to google:gemini@3.7-flash are: amazon.nova-pro-v1:0 from AWS Bedrock ($0.80/1M input tokens); anthropic.claude-3-5-haiku-20241022-v1:0 from AWS Bedrock ($0.80/1M input tokens); anthropic.claude-instant-v1 from AWS Bedrock ($0.80/1M input tokens); Mixtral-8x22B-Instruct-v0.1 from Anyscale ($0.90/1M 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 do I calculate google:gemini@3.7-flash costs?

google:gemini@3.7-flash 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 $0.75 and generating 1M output tokens costs $3.75.