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Gemini 3.7 Flash

#9 on Kyma

Superseded by Gemini 3.8 Flash, but still available by model ID and unchanged for anyone already on it. 3.8 Flash lists at the same rate with the same 1M context and 64K output ceiling and is Google's stronger model on software-engineering and agentic work — start new work there.

Modalities

Text+Image → Text

Below release

Not established

Weights

Not published

Where it sits in the catalogue Kyma measures

Every number against every text model Kyma prices per token — a stated rule, not a chosen line-up.

Price · input#37/70

$1.013

output $5.063 · cached $0.050625

median $0.977 · best $0.0494

Price · output#44/70

$5.063

per 1M tokens generated

median $3.4515 · best $0.2164

Availability · 30d#67/70

73.94%

15,596 observations since 2026-08-14

median 93.9% · best 100.0%

Throughput#9/70

90.2 tok/s

probe median, one fixed prompt

median 39.3 tok/s · best 312.9 tok/s

Response time#43/70

2.93 s

probe median, to a complete answer

median 2.45 s · best 0.84 s

Context

1.05M

max output 65,536

published by Google, not measured here

Tick above each rail is this model, below it the other 69. Dashed rule is the field median, solid is its best. Better is left; the axis stops at the 90th percentile, so a few models sit past its right edge.

Usage

How much this model is actually called here.

Rank

#9

of 117 active models

Tokens served

81.8M

all-time

Platform share

2.4%

of all tokens

Tokens · last 15 daysAug 26Sep 9

How it behaves under real clients

The same model answering different prompt shapes — measured, not benchmarked.

ClientRequestsTokensThroughputTo first tokenp95 totalCompleted
Go App12,11227.9M94 tok/s8.47 s12 s52%
Python App11,28141.8M19 tok/s6.78 s29 s73.9%

Grouped by the client that sent the request. Not a benchmark: the same model on different prompt shapes. Throughput and time-to-first-token are medians; p95 is the slowest response in twenty. 2 clients under 100 requests not shown.

Two clocks, and why they disagree

Kyma measures this model twice. Both are real; they answer different questions.

Probe · every 6h · 30 days

2.93s to answer

One fixed prompt, on a schedule, to every model. Comparable, because the model is the only thing that changes.

Observations
15,596
Answered by a substitute
4,052

Real traffic · last 7 days

5.09s to answer

Your requests, at the lengths clients actually send. Not comparable between models, but it is what running this one feels like.

Requests
23,813
Completed
63.1%
p95
20.3 s

Caching, as realised · last 7 days

9.7% of input cached

The share of input that actually hit cache, so the effective rate below is what was charged, not a best case.

Cached input
2.8M
Fresh input
26.0M
List input
$1.013 /1M
Effective input
$0.91975 /1M

The gap is prompt length, not the model degrading. Use the probe figure to choose between models, the traffic figure to budget for your own.

Pricing

Pay per token. Cached input bills at this model’s own cached rate, listed below.

$1.013$2.026 /1M input$5.063$10.126 /1M output
50% off· ends Sep 10Returns to $2.026 /1M input and $10.126 /1M output on Sep 10.
Hobby10 req/day · 2K in / 500 out
~$1.37/mo
Production1,000 req/day · 2K in / 500 out
~$137/mo
Scale20,000 req/day · 2K in / 500 out
~$2,735/mo
+ Estimate your workload
1,000
2,000
500
30%

Estimated monthly cost

$119

$3.98 / day on Gemini 3.7 Flash

Same workload on:

Gemini 3.8 Flash$137+15%
Gemini 3.5 Flash Lite$74.92-37%

Estimates use list pricing with cached input at this model's own cached rate. Actual bills depend on real token counts, and every response includes its exact cost.

When to use Gemini 3.7 Flash

Updated 2026-08-14

Where this model earns its cost — and where it doesn't.

Gemini 3.7 Flash is Google's August 2026 Flash-tier release. It accepts text, image, audio, video and file input and returns text, and unlike the 3.6 tier it supports structured outputs alongside tool calling and reasoning.

The practical difference from the rest of the Flash family is the output ceiling: 65,536 tokens against 8,192 on 3.6 Flash and 3.5 Flash Lite. Work that had to be chunked because the reply would not fit — full document translations, long structured extractions, whole-file rewrites — fits in one request.

On Kyma it serves through an OpenAI-compatible endpoint with automatic failover to a second independent route. Prompt caching is supported and repeated prefixes bill at this model's cached input rate. Every response carries the exact request cost in usage.cost and names the model that answered in the X-Kyma-Model header.

Long-form structured extraction

Reads a 1M-token corpus and emits tens of thousands of tokens of schema-constrained JSON in a single response.

Whole-document translation and rewriting

The 64K output ceiling fits an entire long document's rewritten text without splitting the job into chunks.

Multimedia review

Takes video, audio and images alongside a text prompt and returns a long written analysis in one pass.

High-volume multimodal agents

Tool calling, reasoning and structured outputs on one request, at the Flash tier's cost and latency.

Not ideal for: Do not reach for this when a short reply is all you need and cost is the deciding factor — the cheaper Flash tiers answer the same short prompts, and the large output ceiling buys nothing you will use.

How it compares

Against the peers people actually weigh it against.

SpecGemini 3.7 FlashGemini 3.8 FlashGemini 3.5 Flash Lite
Input /1M$1.013$1.013$0.405
Output /1M$5.063$5.063$3.375
Context1M1M1M
ToolsYesYesYes
ReasoningYesYesYes
Throughput90.2 tok/s35.8 tok/s54.5 tok/s

Quick start

Up and running in under two minutes.

  1. 1

    Create an API key

    Sign up and grab a key from the dashboard. Gemini 3.7 Flash needs a top-up — the signup credit covers the free tier.

    Get API key →
  2. 2

    Make your first request

    Drop in your key and send a chat completion — fully OpenAI-compatible.

    curl https://kymaapi.com/v1/chat/completions \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "gemini-3.7-flash",
        "messages": [
          {"role": "user", "content": "Explain prompt caching in one paragraph."}
        ]
      }'
  3. 3

    Stream responses

    Add "stream": true to receive tokens as they arrive.

    curl https://kymaapi.com/v1/chat/completions \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "gemini-3.7-flash",
        "stream": true,
        "messages": [{"role": "user", "content": "Hello!"}]
      }'

FAQ

Common questions about this model.

What is the context window of Gemini 3.7 Flash?

Gemini 3.7 Flash has a 1M-token context window — roughly 1542 pages of text in a single request.

How much does the Gemini 3.7 Flash API cost?

$1.013 per 1M input tokens and $5.063 per 1M output tokens (on offer until Sep 10, then $2.026/$10.126), with cached input at $0.050625/1M — 95% off the input rate on repeated prompt prefixes. No subscription; you pay only for what you use.

Does Gemini 3.7 Flash support function calling?

Yes — Gemini 3.7 Flash supports tool/function calling and structured outputs (JSON mode), so it works with agent frameworks out of the box.

Are the weights for Gemini 3.7 Flash publicly available?

No. Google does not publish Gemini 3.7 Flash's weights — it is reachable through an API rather than as a file you can download and run (https://deepmind.google/models/model-cards/gemini-3-7-flash/, read 2026-08-14). That is Google's decision about their own product, not a limitation of Kyma.

Is Gemini 3.7 Flash ever served below the precision its creator released it at?

Kyma cannot say, and for this model nobody can. Google does not publish Gemini 3.7 Flash's weights, so there is no released checkpoint whose precision a route could be measured against. We publish "not established" rather than reading a low format as a downgrade: on several models in this catalogue a low format is exactly how the creator ships it.

How do I use Gemini 3.7 Flash?

Kyma is OpenAI-compatible: point your SDK's base URL at https://kymaapi.com/v1, use your Kyma API key, and set the model to gemini-3.7-flash. Signing up is free, but this model needs a top-up: the $0.50 signup credit covers the free tier only.

How is this different from Gemini 3.6 Flash?

Two things: the output ceiling rises from 8,192 to 65,536 tokens, and structured outputs are supported where 3.6 Flash does not support them. Both models take a 1M-token context and both accept text, image, audio and video.

Does prompt caching work on this model?

Yes. Repeated prompt prefixes bill at this model's cached input rate, and the saving is reported per request in usage.cache_discount.

Can it accept file input?

Yes. Alongside text, image, audio and video, this tier accepts file input — the widest input set of any model in the Gemini Flash family on Kyma.

Needs a top-up — the signup credit covers the free tier.Create account →

More models by Google

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ModelContextInputOutput
GoogleGemini 3.8 Flash1M$1.013$5.063
GoogleGemini 3.5 Transcribe$0.00675 / min
GoogleGemini 3.6 Flash1M$1.013$5.063
GoogleGemini 3.5 Flash Lite1M$0.405$3.375
GoogleGemini 3.5 Live Translate$0.06345 / min
GoogleGemini 3.5 Flash1M$2.025$12.15
GoogleGemma 4 31B128K$0.0763$0.218
GoogleGemini 3.1 Flash Live$0.03888 / min