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Gemini 3.7 Flash API Pricing & Cost Calculator

Gemini 3.7 Flash is priced at $0.75 input / $3.75 output per 1M tokens with a 1M context window and 66K max output, and cached input at $0.07/1M. A 1,000-in / 500-out call costs $0.00262.

Google plans to retire Gemini 3.7 Flash on 2027-01-28

Pricing below is still current. Worth factoring the retirement date into anything you are building on it long-term.

Still available from Google: Gemini 3.1 Pro, Gemini 3.5 Flash, Gemini 3.8 Flash Cyber

Input
$0.75
per 1M tokens
Output
$3.75
per 1M tokens
Context window
1.05M
tokens
Listed here
2026-08
≈ Estimated tokenizer·$0.75 in·$3.75 out (per 1M)
Quick start with a use case
Total cost per call$0.002625
Input$0.000750
Output$0.001875
Cost comparison
Standard
$0.002625
With Caching
$0.002288
Save 13% ↓
With Batch
$0.001312
Save 50% ↓
Cutting costs? Open models start at $0.28/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

Try Novita AI

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Detailed pricing

Gemini 3.7 Flash pricing breakdown

All pricing dimensions including caching and batch discounts.

TypePrice (per 1M tokens)
Input$0.7500
Output$3.7500
Cached input$0.0750
Batch input$0.3750
Batch output$1.8750
Cutting costs? Open models start at $0.28/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

Try Novita AI

Affiliate link — we may earn a commission at no extra cost to you.

Last verified 2026-10-31 · Google official pricing · ⚠️ Spotted a wrong price? Report in 30s →

How it compares

Gemini 3.7 Flash vs alternatives

Single-call cost (1000 input + 500 output tokens) ranked from cheapest.

ModelPer call
Gemini 3.7 Flash
Google · this page
$0.002625
GPT-6 Luna
OpenAI
$0.000350
Claude Haiku 5.5
Anthropic
$0.000350
DeepSeek V3.2
DeepSeek
$0.000480
GPT-5.6 Luna
OpenAI
$0.000800
DeepSeek V4-Flash
DeepSeek
$0.000900
Recommended use

When to choose Gemini 3.7 Flash

Gemini 3.7 Flash shines for general-purpose tasks, high-throughput, low-latency tasks, image and document understanding, audio understanding and generation, and long documents and large codebases. Token counts are estimated within ~10-20% margin.

✓Context window of 1.05M tokens handles entire codebases or book-length documents.
✓Prompt caching available — significant savings for repeated system prompts.
✓Batch API support for non-realtime workloads at ~50% discount.
✓Tool / function calling supported.
FAQ

Frequently asked questions

Gemini 3.7 Flash costs $0.75 per 1M input tokens and $3.75 per 1M output tokens. A typical chat call (1000 input + 500 output tokens) costs approximately $0.0026. Use the calculator above to estimate your specific use case.
Gemini 3.7 Flash supports a 1.05M token context window with a max output of 65,536 tokens.
Yes. Cached input is priced at $0.07 per 1M tokens — 90% cheaper than uncached input. This is especially valuable for repeated system prompts, long-context retrieval, and chat threads with shared history.
Yes. Gemini 3.7 Flash supports the Batch API at $0.38 input / $1.88 output per 1M tokens — typically 50% off standard pricing. Batch jobs complete within ~24 hours, ideal for non-realtime workloads like overnight data processing or content generation pipelines.
Yes, Gemini 3.7 Flash accepts image input. Vision token pricing is generally calculated based on image dimensions and folded into the input token count. Specific image-specific pricing varies — refer to Google's official documentation.
Token counts for Gemini 3.7 Flash are estimated from character ratios (~10-20% margin). Cost calculations use prices verified on 2026-10-31. For final billing accuracy, always verify with Google's usage dashboard.
Gemini 3.7 Flash does not currently support fine-tuning. Consider another model in the Google family if fine-tuning is required.
Related

Other models you might consider

OpenAI
GPT-6 Luna
The cheapest model on this site — with a 922K context window
$0.10 in$0.50 out
Anthropic
Claude Haiku 5.5
$0.10/$0.50 — but only for prompts up to 100K tokens
$0.10 in$0.50 out
DeepSeek
DeepSeek V3.2
DeepSeek's open-weight MoE — top cost/quality ratio
$0.28 in$0.40 out
OpenAI
GPT-5.6 Luna
The cheapest long-context model OpenAI ships — 20x under the flagship
$0.20 in$1.20 out
DeepSeek
DeepSeek V4-Flash
1M context at budget pricing — $0.30/$1.20
$0.30 in$1.20 out