Gemini 3.7 Flash

by Googlegoogle/gemini-3.7-flash

  • Text
  • Runnable now
  • Released
Compare it on your task

Gemini 3.7 Flash at a glance

Context length
1,048,576 tokens
Maximum output
65,536 tokens
Accepts
Text, Image, File, Audio, Video
Returns
Text
Features
ReasoningJSON outputTool callingPrompt cachingImage input
Reasoning effort levels
highmediumlowReasoning is always on for this model.
Released
13 Aug 2026
Knowledge cutoff
Not published

Model facts synced from the OpenRouter model list on 21 Oct 2026.

Gemini 3.7 Flash pricing by route

A route is the service LLMCompare calls to reach the model. Gemini 3.7 Flash has 2 routes. Prices are in US dollars.

Prices of Gemini 3.7 Flash on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensCache readper 1M tokensCache writeper 1M tokensPrice verified onSource
Google AI Studio (direct)DefaultRunnable now$0.75$3.75$0.075$0.0417ai.google.dev/gemini-api/docs/pricing
OpenRouterNot configured$0.75$3.75$0.075$0.0417openrouter.ai/google/gemini-3.7-flash

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to Gemini 3.7 Flash costs. The starting numbers are examples. Change them to match your task.

Part of the input tokens above, billed at the cache read price.

Billed in addition to the output tokens.

Cost per call
$0.0026
4 credits
Cost of 100 calls
$0.2625
400 credits

Calculated from the Google AI Studio (direct) prices verified on 30 Sep 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

All 2 routes accept the same parameters.

Parameters of Gemini 3.7 Flash
ParameterTypeRange or optionsDefault
temperatureNumber0 to 2in steps of 0.1Provider default
top_pNumber0 to 1in steps of 0.05Provider default
max_tokensInteger1 to 65,536Provider default
reasoning_effortOne ofhighmediumlowmedium
seedInteger-2,147,483,648 to 4,294,967,295Provider default
response_formatOne oftextjson_objectProvider default

About Gemini 3.7 Flash

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

Description as published for this model. LLMCompare has not edited it.

Models to compare with Gemini 3.7 Flash

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with Gemini 3.7 Flash
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
Gemini 3.6 FlashGooglegoogle/gemini-3.6-flash1.05M65.5k$0.75$3.75ReasoningJSONToolsCacheVisionNo route yet
Gemini 3.8 FlashGooglegoogle/gemini-3.8-flash1.05M65.5k$0.825$4.13ReasoningJSONToolsCacheVisionNo route yet
Gemini 3 Flash PreviewGooglegoogle/gemini-3-flash-preview1.05M65.5k$0.50$3.00ReasoningJSONToolsCacheVisionNo route yet
GLM 5Z.aiz-ai/glm-5205k131k$1.00$3.20JSONToolsCacheNo route yet
Sakana NamazuSakanasakana/sakana-namazu262k65.5k$0.95$4.00ReasoningJSONToolsCacheVisionNo route yet
Kimi K2.6MoonshotAImoonshotai/kimi-k2.6262k236k$0.65$3.41JSONToolsCacheVisionNo route yet

Questions about Gemini 3.7 Flash

How much does Gemini 3.7 Flash cost?
On the Google AI Studio (direct) route, Gemini 3.7 Flash costs $0.75 per 1 million input tokens and $3.75 per 1 million output tokens, in US dollars. Input tokens that Gemini 3.7 Flash reads from the prompt cache cost $0.075 per 1 million tokens. LLMCompare verified this price on 30 Sep 2026.
What is the context length of Gemini 3.7 Flash?
Gemini 3.7 Flash has a context length of 1,048,576 tokens and returns up to 65,536 output tokens in one call.
What inputs does Gemini 3.7 Flash accept?
Gemini 3.7 Flash accepts these inputs: Text, Image, File, Audio, Video. Gemini 3.7 Flash returns: Text.
Which reasoning effort levels does Gemini 3.7 Flash support?
Gemini 3.7 Flash supports these reasoning effort levels: high, medium, low. Reasoning is always on for Gemini 3.7 Flash and cannot be turned off.
Can I test Gemini 3.7 Flash on my own data?
Yes. LLMCompare can run Gemini 3.7 Flash now. You add your own test cases, select Gemini 3.7 Flash and the models you want to compare it with, and LLMCompare records every output with its cost and response time.