Does Gemini 2.5 Flash Lite support streaming?

Yes—at least one listed provider advertises streaming.

How do I call Gemini 2.5 Flash Lite via API?

Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "gemini-2.5-flash-lite" and your LLM.API key. See the code snippet on this page.

How is Gemini 2.5 Flash Lite priced on LLM.API?

Listed pricing metadata shows: In $0.1 / 1M tokens · Out $0.4 / 1M tokens. LLM.API may offer discounted effective rates (illustrative ~30% callout vs list when available).. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

What are limitations of Gemini 2.5 Flash Lite?

Like other API models, Gemini 2.5 Flash Lite can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

Can I use tools or structured outputs with Gemini 2.5 Flash Lite?

Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.

Does Gemini 2.5 Flash Lite translate speech?

Primary behavior is transcription to text. Translation—if needed—should be a separate step with a chat model unless the provider explicitly offers it.

Is Gemini 2.5 Flash Lite a chat model?

No—Gemini 2.5 Flash Lite is categorized as a stt model. Use the matching API surface rather than assuming chat completions.

Where is the canonical page for Gemini 2.5 Flash Lite?

https://llmapi.ai/models/google-gemini-2-5-flash-lite/

What is the context length for Gemini 2.5 Flash Lite?

Reported context for Gemini 2.5 Flash Lite is 1M tokens. Always verify the active provider row if multiple providers are listed.

When should I choose Gemini 2.5 Flash Lite?

You need speech-to-text for batch or streaming audio — especially when you specifically need Gemini 2.5 Flash Lite.

Which endpoint do I call for Gemini 2.5 Flash Lite?

POST https://api.llmapi.ai/v1/chat/completions with model "gemini-2.5-flash-lite" and your LLM.API key. The request and response bodies are OpenAI-compatible.

How do I switch from OpenAI to Gemini 2.5 Flash Lite on LLM.API?

Change two lines: set base_url to https://api.llmapi.ai/v1 and api_key to your LLM.API key. The rest of your OpenAI SDK code stays the same.

Does Gemini 2.5 Flash Lite support function calling and structured outputs?

Function calling: supported via tools. Structured outputs: not supported.

Gemini 2.5 Flash Lite API: Endpoint & Pricing

Transcribe speech with Gemini 2.5 Flash Lite on LLM.API—batch or streaming audio to text with the same developer surface as your other models.

Start Using API

What is Gemini 2.5 Flash Lite?

With Gemini 2.5 Flash Lite, LLM.API turns audio into text for product voice features. gemini-2.5-flash-lite provided by google-ai-studio, google-vertex. It is wired for API access through LLM.API with OpenAI-compatible patterns. The model id `gemini-2.5-flash-lite` keeps STT alongside your other endpoints.

Can you self-host Gemini 2.5 Flash Lite?

No. We found no public weights for Gemini 2.5 Flash Lite on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.

Skip the deploy — use LLM.API as your endpoint

No GPUs, no quantization trade-offs. Same model, OpenAI-compatible, with custom volume discounts on request.

Get API key See API code ↓

Providers

LLM.API routes Gemini 2.5 Flash Lite to the providers below, with discounted effective rates versus list price.

List price by provider

InputOutput

google-ai-studio$0.1 in

$0.4 out

google-vertex$0.1 in

$0.4 out

Provider list prices; the LLM.API discount applies on top.

Provider	Pricing	Context	Capabilities
google-ai-studio	in $0.1; out $0.4 per 1M tokens	1M tokens	vision, tools, streaming, JSON
google-vertex	in $0.1; out $0.4 per 1M tokens	1M tokens	vision, tools, streaming, JSON

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 11 Oct 2026.

Try this model

Test Gemini 2.5 Flash Lite right here — free to start.

Gemini 2.5 Flash Lite

Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Gemini 2.5 Flash Lite through the OpenAI-compatible API — STT via LLM.API (see docs for audio endpoints).

Switching from OpenAI? Change 2 lines.

- base_url="https://api.openai.com/v1"
- api_key="YOUR_OPENAI_KEY"
+ base_url="https://api.llmapi.ai/v1"
+ api_key="YOUR_LLMAPI_KEY"

Everything else stays the same — SDK, message format, tools, streaming. Set model to gemini-2.5-flash-lite and the call runs unchanged.

bash

curl https://api.llmapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $LLMAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-flash-lite",
    "messages": [
      {"role": "user", "content": "Give me three crisp launch checklist items."}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LLMAPI_KEY",
    base_url="https://api.llmapi.ai/v1",
)

resp = client.chat.completions.create(
    model="gemini-2.5-flash-lite",
    messages=[
        {"role": "system", "content": "You are a precise product assistant."},
        {"role": "user", "content": "Give me three crisp launch checklist items."},
    ],
)
print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.LLMAPI_KEY,
  baseURL: "https://api.llmapi.ai/v1",
});

const resp = await client.chat.completions.create({
  model: "gemini-2.5-flash-lite",
  messages: [
    { role: "user", content: "Give me three crisp launch checklist items." },
  ],
});

console.log(resp.choices[0].message.content);

stream = client.chat.completions.create(
    model="gemini-2.5-flash-lite",
    messages=[{"role": "user", "content": "Write a haiku about latency."}],
    stream=True,
)

for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)

{
  "model": "gemini-2.5-flash-lite",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

ENDPOINTS

Supported endpoints & features

Base URL https://api.llmapi.ai/v1 · model ID gemini-2.5-flash-lite · OpenAI-compatible.

POST /v1/chat/completionsChat Completions — supported

Feature	Status	How to set it
Function calling (tools)	Supported	`tools, tool_choice`
Parallel tool calls	Not supported	`parallel_tool_calls`
JSON mode	Supported	`response_format: {"type": "json_object"}`
Structured outputs	Not supported	`response_format: {"type": "json_schema", …}`
Streaming	Supported	`stream: true`
Vision (image input)	Supported	`image_url content parts`
Web search	Not supported	`web_search`

ERRORS

Errors & fallback routing

Code	What it means	What to do
`401`	Missing or invalid API key.	Send `Authorization: Bearer YOUR_LLMAPI_KEY` and check the key is active.
`429`	Rate limited, or the upstream provider is throttling the request.	Back off and retry with jitter; the gateway also retries the request on another provider where one is available.
`5xx`	Upstream provider error or timeout.	Retry; fallback routing sends the retry to the next healthy provider for this model.

When a provider fails or throttles, the request is routed to the next provider serving this model — the ones listed in the providers table above.

Gemini 2.5 Flash Lite in production

Best workloadsLLM.API features

What the model is good at.

Compliance archives
Creates text records of spoken interactions for audit trails. Grounded in the model's stt role rather than generic chat claims.
Meeting capture
Fits voice notes, calls, and meeting recording pipelines. Tuned to how teams typically call Gemini 2.5 Flash Lite.
Caption generation
Produces base transcripts for subtitle workflows. Tuned to how teams typically call Gemini 2.5 Flash Lite.
Downstream LLM prep
Feeds transcripts into summarization and action-item extractors.
Multilingual audio
Handles diverse accents and languages depending on the model. Relevant for `gemini-2.5-flash-lite` workloads on LLM.API.

What you get when you call Gemini 2.5 Flash Lite through LLM.API.

Unified AI Routing
Practical: Reach Gemini 2.5 Flash Lite and sibling models through one OpenAI-compatible endpoint.
One endpoint, every model.
Cost Control
Production: Compare provider price points and keep spend visible as you scale Gemini 2.5 Flash Lite.
More performance, less spend.
Reliability Layer
Production: Retry and route across configured providers when a single upstream blips.
Never go dark on users.
Observability
Production: Trace prompts, tokens, and errors for Gemini 2.5 Flash Lite alongside the rest of your stack.
See every token, everywhere.
Drop-in SDKs
Practical: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Think tasks, not models.
Model Breadth
Swap Gemini 2.5 Flash Lite for chat, media, or embedding alternatives without rewriting auth.
Scale from 1 to millions.

When to Use — When NOT to Use

Use it if...

Voice is a primary input modality in your product (Gemini 2.5 Flash Lite)
You will pipe transcripts into search or LLM summarization (Gemini 2.5 Flash Lite)
You need speech-to-text for batch or streaming audio (Gemini 2.5 Flash Lite)

Avoid if...

Your audio cannot leave your compliance boundary and you lack an approved provider path
You need text-to-speech or chat generation instead of transcription
You require guaranteed perfect transcripts for every accent without evaluation

LLM API rating for Gemini 2.5 Flash Lite

★ 3.6/ 5.0LLM API rating
50% production adoption · 30% category benchmark · 20% tooling & value✓ Verified benchmark · Artificial Analysis

4.8Production adoptionVery high production volume

1.3Benchmark qualityArtificial Analysis Intelligence Index 8.5

4.3Developer ecosystemContext window, tool and JSON support, price against the category median

Reasoning & chat 3.6Coding 3.6Vision & multimodal 4.2Tool & function calling 4.8Long context 4.8Voice & audio 4.2

How is this rating calculated?

Every model gets a separate 1.0–5.0 score for each category it can be used in, so a model can rate high for coding and lower for vision. The score combines three parts:

Production adoption — 50%. How widely the model is actually used in production: provider traffic, LiteLLM and gateway usage, open-weight downloads and its LMArena rank. Proven, widely used models score highest.
Category benchmark — 30%. The public benchmark that matters for that category — the Artificial Analysis Intelligence Index and LMArena Elo for reasoning, LMArena coding Elo for coding, image and document support plus vision Elo for vision, tool and JSON support for function calling, measured speed for voice.
Tooling & value — 20%. Context window, support for tools, structured outputs and streaming, and price compared with the category median.

Scores of 4.0 and above are shown in green, 3.0–3.9 in yellow, below 3.0 in red. When a model has no public data for a part, it gets a neutral value instead of an invented number.

A “Verified benchmark” mark (✓) means an independent lab — LMArena or Artificial Analysis — has actually tested that model, and the source figure is shown. Models without that mark are labelled “Estimated from published specs”: the score comes from the published context window, tool and schema support, price and adoption only, because no independent lab has tested them yet.

One exception: a brand-new top-tier model that scores very high on the independent benchmarks but has no usage history yet is rated on the benchmark (60%) and tooling & value (40%) alone, so a missing adoption figure can't hold it back. All inputs come from public sources and are refreshed weekly.

Adoption and benchmark inputs come from public sources — LMArena, Artificial Analysis Intelligence Index and published model specs. Updated weekly.

BENCHMARKS

Gemini 2.5 Flash Lite benchmark scores

Intelligence index

This model7.

Tracked median8.

Scale: 0-100 index points

Output speed

This model280 t/s

Scale: 0-400 tokens per second

Reference price per 1M tokens

Input$0.10

Output$0.40

Bars compare input and output list prices for this model.

Intelligence index-12% vs median

Gemini 2.5 Flash Lite API: Endpoint & 30% Discount7

Median tracked model8

Higher is better. The median covers every model tracked by Artificial Analysis.

Output speed

280tok/s

Measured throughput; the full dial is 300 tokens per second.

Reference price / 1M tokens

Input$0.10

Output$0.40

Provider list prices, before the LLM.API discount.

Independent scores published by Artificial Analysis (source). Reference prices are provider list prices, not LLM.API pricing.

RELIABILITY

Gemini 2.5 Flash Lite uptime, last 30 days

30-Day Uptime

100.00%

Past Incidents (30d)

Error rate (24h)

0.00%

Last 30 days

30/30 days operational | 100.00% uptime

Availability tracked for this model. Full history on the LLM Uptime Status page or the status hub. LLM.API routes around provider outages automatically.

COMMUNITY

What developers say about Gemini models

LMArena—Speed280 tokens/sSources: LMArena, Artificial Analysis

Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to Gemini 2.5 Flash Lite.

The Flash line is praised for speed and cost — reviewers regularly report code generated in seconds where slower models take minutes.
The main caveat raised is confident hallucination on under-specified tasks, so reviewers recommend verification steps or a stronger model for critical output.
Community reports highlight good long-context handling and strong multimodal input as the reasons teams keep Flash in the loop despite the accuracy caveats.

SOURCES

Frequently Asked Questions

Does Gemini 2.5 Flash Lite support streaming?
Yes—at least one listed provider advertises streaming.
How do I call Gemini 2.5 Flash Lite via API?
Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "gemini-2.5-flash-lite" and your LLM.API key. See the code snippet on this page.
How is Gemini 2.5 Flash Lite priced on LLM.API?
Listed pricing metadata shows: In $0.1 / 1M tokens · Out $0.4 / 1M tokens. LLM.API may offer discounted effective rates (illustrative ~30% callout vs list when available).. Confirm live rates in the LLM.API dashboard or docs before production budgeting.
What are limitations of Gemini 2.5 Flash Lite?
Like other API models, Gemini 2.5 Flash Lite can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.
Can I use tools or structured outputs with Gemini 2.5 Flash Lite?
Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.
Does Gemini 2.5 Flash Lite translate speech?
Primary behavior is transcription to text. Translation—if needed—should be a separate step with a chat model unless the provider explicitly offers it.
Is Gemini 2.5 Flash Lite a chat model?
No—Gemini 2.5 Flash Lite is categorized as a stt model. Use the matching API surface rather than assuming chat completions.
Where is the canonical page for Gemini 2.5 Flash Lite?
https://llmapi.ai/models/google-gemini-2-5-flash-lite/
What is Gemini 2.5 Flash Lite?
gemini-2.5-flash-lite provided by google-ai-studio, google-vertex. It is wired for API access through LLM.API with OpenAI-compatible patterns. On LLM.API it is addressed as `gemini-2.5-flash-lite`.
What is the context length for Gemini 2.5 Flash Lite?
Reported context for Gemini 2.5 Flash Lite is 1M tokens. Always verify the active provider row if multiple providers are listed.
When should I choose Gemini 2.5 Flash Lite?
You need speech-to-text for batch or streaming audio — especially when you specifically need Gemini 2.5 Flash Lite.

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Gemini 2.5 Flash Lite API: Endpoint & Pricing

What is Gemini 2.5 Flash Lite?

Can you self-host Gemini 2.5 Flash Lite?

Providers

Try this model

Code snippet

Supported endpoints & features

Errors & fallback routing

Gemini 2.5 Flash Lite in production

Compliance archives

Meeting capture

Caption generation

Downstream LLM prep

Multilingual audio

Unified AI Routing

Cost Control

Reliability Layer

Observability

Drop-in SDKs

Model Breadth

When to Use — When NOT to Use

Use it if...

Avoid if...

LLM API rating for Gemini 2.5 Flash Lite

Gemini 2.5 Flash Lite benchmark scores

Intelligence index

Output speed

Reference price per 1M tokens

Gemini 2.5 Flash Lite uptime, last 30 days

Last 30 days

What developers say about Gemini models

Frequently Asked Questions

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