Superseded by Gemini 3.8 Flash, but still available by model ID and unchanged for anyone already on it. 3.8 Flash lists at the same rate with the same 1M context and 64K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.
$1.013
output $5.063 · cached $0.050625
median $0.977 · best $0.0494
$5.063
per 1M tokens generated
median $3.4515 · best $0.2164
73.94%
15,596 observations since 2026-08-14
median 93.9% · best 100.0%
90.2 tok/s
probe median, one fixed prompt
median 39.3 tok/s · best 312.9 tok/s
2.93 s
probe median, to a complete answer
median 2.45 s · best 0.84 s
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
How it behaves under real clients
The same model answering different prompt shapes — measured, not benchmarked.
| Client | Requests | Tokens | Throughput | To first token | p95 total | Completed |
|---|---|---|---|---|---|---|
| Go App | 12,112 | 27.9M | 94 tok/s | 8.47 s | 12 s | 52% |
| Python App | 11,281 | 41.8M | 19 tok/s | 6.78 s | 29 s | 73.9% |
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.
+ Estimate your workload− Estimate your workload
Estimated monthly cost
$119
$3.98 / day on Gemini 3.7 Flash
Same workload on:
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
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.
| Spec | Gemini 3.7 Flash | Gemini 3.8 Flash | Gemini 3.5 Flash Lite |
|---|---|---|---|
| Input /1M | $1.013 | $1.013 | $0.405 |
| Output /1M | $5.063 | $5.063 | $3.375 |
| Context | 1M | 1M | 1M |
| Tools | Yes | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Throughput | 90.2 tok/s | 35.8 tok/s | 54.5 tok/s |
Quick start
Up and running in under two minutes.
- 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
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
Stream responses
Add
"stream": trueto 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?
How much does the Gemini 3.7 Flash API cost?
Does Gemini 3.7 Flash support function calling?
Are the weights for Gemini 3.7 Flash publicly available?
Is Gemini 3.7 Flash ever served below the precision its creator released it at?
How do I use Gemini 3.7 Flash?
How is this different from Gemini 3.6 Flash?
Does prompt caching work on this model?
Can it accept file input?
More models by Google
See all 19 →| Model | Context | Input | Output |
|---|---|---|---|
| 1M | $1.013 | $5.063 | |
| — | $0.00675 / min | ||
| 1M | $1.013 | $5.063 | |
| 1M | $0.405 | $3.375 | |
| — | $0.06345 / min | ||
| 1M | $2.025 | $12.15 | |
| 128K | $0.0763 | $0.218 | |
| — | $0.03888 / min | ||