Gemini 3.7 Flash — API Pricing & Benchmarks

Gemini 3.7 Flash is Google's previous-generation reasoning model, released in 2026-08. The API costs $0.75 per 1M input tokens and $3.75 per 1M output tokens ($1.50 blended at a 3:1 ratio), with cached input at $0.07. It supports a 1.0M-token context window. On the independently measured Artificial Analysis Intelligence Index it scores 56, ranking #17 of 68 models tracked on this site, with a median output speed of 309 tokens/sec.

Explore provider routes and additional benchmark sources for Gemini 3.7 Flash

ProviderGoogle
Input price / 1M tokens$0.75
Output price / 1M tokens$3.75
Cached input / 1M tokens$0.07
Blended price (3:1)$1.50
Context window1.0M
Max output tokens66K
Knowledge cutoff
Licenseproprietary
Input modalitiesT+I+A+V
Output speed (tok/s)309
Released2026-08
Artificial Analysis Intelligence Index56
LMArena Elo1491
GPQA Diamond94.5%
Humanity's Last Exam47.9%

Where Gemini 3.7 Flash fits

On a blended 3:1 basis Gemini 3.7 Flash costs $1.50 per 1M tokens, cheaper than 56% of the 80 priced models in this index. It is a previous-generation model: usually only worth choosing if you have an existing integration, negotiated pricing, or need its specific behavior, since newer siblings offer better price-performance. Measured output speed of 309 tokens/sec is well above the index median of 104, making it suitable for interactive, user-facing use. Cached input is priced at $0.07 (90% below standard input), which rewards prompt structures with long stable prefixes — see our caching guide.

Price history

PeriodInput $/1MOutput $/1MCached $/1M
2026-08-25 → current$0.75$3.75$0.07

No list-price changes recorded since tracking began. Full dataset: price-history.json (CC BY 4.0).

Alternatives at a similar price

About Google

Google's Gemini models are natively multimodal — most accept text, images, audio and video input — with 1M-token context windows across the range. The Flash line now ships on a roughly monthly cadence (3.6, 3.7, 3.8 Flash between July and September 2026) at the same introductory price, competing on price-performance and speed rather than peak capability.

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