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Last verified
DEPRECATED OCT 20261M CONTEXTMULTIMODAL + PDF65K MAX OUTPUTHALF PRICE UNTIL 2027

Gemini 3.7 Flash API Pricing

Gemini 3.7 Flash shipped on August 14, 2026 for complex coding, agentic workflows and reliable multi-step execution. Google called it "our previous-generation Flash model" from September 2, 2026, when Gemini 3.8 Flash arrived on the identical rate card, and deprecated it on October 8, 2026: API requests to gemini-3.7-flash are now routed to Gemini 3.8 Flash, and the model is gone from Google's pricing page. Its last published card is the one Gemini 3.6 Flash and 3.8 Flash still carry: $0.75/M input, $3.75/M output and $0.075/M cached input through December 31, 2026, then $1.50 / $7.50 / $0.15 from January 1, 2027.

Input - per 1M tokens
$0.75/M
$1.50 from Jan 1, 2027 -50%
Output - per 1M tokens
$3.75/M
$7.50 from Jan 1, 2027 -50%
Cached input - per 1M tokens
$0.075/M
$0.15 from Jan 1, 2027 -90%
Effective - agentic blend
$0.481/M
92/8 split - 82% cache
§ 01 / TERMINAL

Gemini 3.7 Flash API cost calculator.

Live calculator pre-loaded with the Gemini 3.7 Flash rates in effect today — $0.75 input, $3.75 output, $0.075 cached. All three double on January 1, 2027, so a workload sized here costs twice as much from that date. Gemini 3.6 Flash prices identically, so switching between the two changes capability rather than the bill.

$ /mo
Workload split
Prompt cache hit rate
Tokens you can process
—
Words equivalent (English)
—
Effective rate
—
Open full calculator (all models · share URL · CSV) →
§ 02 / SCENARIOS

Gemini 3.7 Flash cost on real workloads.

§ 03 / TOKENIZER

Gemini 3.7 Flash token counter and cost.

What's a token →
Estimate · gemini-tokenizer-estimate · ≈3.85 chars/token Auto-counts as you type

This is a chars-per-token approximation, not a real tokenizer. Actual tokens vary by language, code density, and tool-call overhead — counts are typically ±10–20% off for English prose, more for code or non-Latin scripts. For exact billing, use the vendor's official tokenizer.

Characters 642
Words 100
Tokens (estimated) 167 tokens
Cost as input · uncached $0.00013 USD
Cost as output · uncached $0.00063 USD
Cost as cached input $0.00001 USD
§ 04 / SHELF

Gemini 3.7 Flash vs similar models.

All models →
Model Input /M Output /M Effective blended Context Best for
Gemini 3.7 Flash Current $0.75 cache $0.075 $3.75 $0.481 agentic 92/8 1M Coding, agents, multi-step execution
Gemini 3.6 Flash $0.75 cache $0.075 $3.75 $0.481 same · promo 1M Previous-generation Flash
Gemini 3.5 Flash $1.50 cache $0.15 $9.00 $1.08 deprecated · +2.2× 1M The model 3.6 replaces
Gemini 3.1 Pro Preview $2.00 cache $0.20 $12.00 $1.44 +3.0× 1M Google's frontier reasoning tier
Gemini 3.5 Flash-Lite $0.30 cache $0.03 $2.50 $0.272 −43% 1M High-volume, simpler tasks
Gemini 3.1 Flash-Lite $0.25 cache $0.025 $1.50 $0.18 deprecated · −2.7× 1M Cheapest per-token Gemini tier
Claude Haiku 5.5 $0.10 cache $0.01 $0.50 $0.0682 −7.0× 1M Anthropic's fast, high-volume tier
GPT-6.1 Terra $1.00 cache $0.05 $5.00 $0.645 +34% 1.05M OpenAI's fast, efficient GPT-6 tier
DeepSeek V4.1 Flash $0.30 cache $0.006 $1.20 $0.15 −3.2× 1M Budget reasoning and coding
§ 07 / BENCHMARKS

Gemini 3.7 Flash benchmarks

All benchmarks →

Gemini 3.7 Flash has published scores on 14 benchmarks we track, and leads 2 of them. 3 of these scores come from an independent leaderboard; the rest are the lab's own reports.

Benchmark Score Rank Leader Source
ARC-AGI-2 Reasoning 84.6% ARC Prize verified, best result #12 of 105 GPT-6 Astra · 95% Official leaderboard ARC Prize Foundation
MRCR v2 Long context · 8-needle, up to 128K 97% 128K average #1 of 7 Gemini 3.7 Flash leads Vendor-reported Google DeepMind
ARC-AGI-1 Reasoning 95.5% ARC Prize verified, best result #16 of 99 6 tied · 98.5% Official leaderboard ARC Prize Foundation
GDP.pdf Vision and documents · Default setting 34% all-pass rate #3 of 7 Gemini 3.8 Flash · 35% Vendor-reported Google DeepMind
AutomationBench Agents and computer use · Private set 30.4% private set #1 of 2 Gemini 3.7 Flash leads Vendor-reported Google DeepMind
Terminal-Bench 2 Agents and computer use · Terminal-Bench 2.1 85.8% as reported #9 of 17 DeepSeek V4.1 Flash · 90.6% Vendor-reported Google DeepMind
CharXiv Reasoning Vision and documents · No tools 84.5% no tools #5 of 9 Kimi K3.1 Pro · 89% Vendor-reported Google DeepMind
Terminal-Bench 3.0 Agents and computer use 14.9% as reported #5 of 9 DeepSeek V4.1 Flash · 30% Vendor-reported Google DeepMind
Agents' Last Exam Agents and computer use · Strict pass rate 26.3% pass rate #3 of 5 Gemini 4 Argon · 39.5% Vendor-reported Google DeepMind
DeepSWE Coding 65.3% as reported #17 of 27 Gemini 4 Argon · 77.9% Vendor-reported Google DeepMind
FrontierCode Coding · v1.1 Main (100 hardest tasks) 43.6% score #9 of 13 Claude Opus 5.5 · 54.4% Vendor-reported Google DeepMind
Terminal-Bench 4.0 Agents and computer use 11.2% high effort, mini-SWE-agent harness, 330 trials, ±2.5 pts (95% CI) #32 of 34 Kimi K3.1 Pro · 65.7% Official leaderboard Terminal-Bench (Stanford, Laude Institute)
Harvey Legal Agent Benchmark Professional work 8.8% all-pass rate #7 of 7 Kimi K3.1 Pro · 23.7% Vendor-reported Google DeepMind
OSWorld 2 Agents and computer use · 2.0, partial score, batch tool on 50.6% partial score, batch tool enabled #2 of 2 Gemini 3.8 Flash · 59% Vendor-reported Google DeepMind

Gemini 3.7 Flash API pricing FAQ.

Gemini 3.7 Flash pricing questions, with the dated schedule kept separate from the rate in effect today.

Q · 01 How much does Gemini 3.7 Flash cost? +
Google last listed gemini-3.7-flash at $0.75/M input, $3.75/M output including thinking tokens, and $0.075/M cached input. The model left the pricing page when Google deprecated it on October 8, 2026. Those rates were set to run through December 31, 2026; from January 1, 2027 the standard pricing was to be $1.50 / $7.50 / $0.15.
Q · 02 Can I still use Gemini 3.7 Flash? +
Not as itself. Google deprecated gemini-3.7-flash on October 8, 2026 and replaced it with Gemini 3.8 Flash. The endpoint is not shutting down, but API requests to it are routed automatically to gemini-3.8-flash, and the model can no longer be selected in Google AI Studio. Google asks developers to switch the model string to gemini-3.8-flash, and does not say which rate a routed request is billed at.
Q · 03 Is Gemini 3.7 Flash more expensive than 3.6 Flash? +
No — they are priced identically, down to the cached rate and the January step-up. Google shipped 3.7 and moved 3.6 onto the same schedule on the same day. Under our standard blend both land at $0.48/M effective, so the decision between them is a capability decision.
Q · 04 What does the January 1, 2027 change mean for my bill? +
Every rate doubles. A workload costing $1,000 a month at today's rates costs $2,000 from that date with no change on your side. Cache storage moves too, from $0.50 to $1.00 per 1M tokens per hour. Gemini 3.7 Flash itself left the pricing page on October 8, 2026; the same schedule still applies to Gemini 3.6 and 3.8 Flash, the model its requests are now routed to.
Q · 05 What can Gemini 3.7 Flash take as input? +
Text, images, video, audio and PDF, returning text. The model page lists a 1,048,576-token input limit and a 65,536-token output limit, with context caching supported.
Q · 06 Are thinking tokens billed separately? +
No — Google's output price is explicitly "including thinking tokens", so reasoning is billed at the same $3.75/M as visible output. There is no separate reasoning rate to budget for, but heavy thinking still raises the output token count.