← Back to explorer
Google: Gemini 2.5 Flash Lite Preview 09-2025
Server-rendered model summary page for indexing/share previews. Use the interactive explorer for full filtering and comparison.
Match confidence: UnmatchedSource type: openrouter_only
Context window
1.0M
Arena overall rank
—
Input price
$0.000 / 1M
Output price
$0.000 / 1M
Identifiers & provenance
- Primary ID
- google/gemini-2.5-flash-lite-preview-09-2025
- OpenRouter ID
- google/gemini-2.5-flash-lite-preview-09-2025
- Canonical slug
- google/gemini-2.5-flash-lite-preview-09-2025
Source semantics
- Arena rank is a human-preference leaderboard signal, not a universal truth metric.
- OpenRouter usage/popularity reflects adoption/traffic, not benchmark quality.
- Pricing fields may differ by provider and can include extra modes beyond prompt/completion.
Read more on Methodology & data sources.
Description
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance across common benchmarks compared to earlier Flash models. By default, "thinking" (i.e. multi-pass reasoning) is disabled to prioritize speed, but developers can enable it via the [Reasoning API parameter](https://openrouter.ai/docs/use-cases/reasoning-tokens) to selectively trade off cost for intelligence.
Raw fields snapshot
{
"id": "google/gemini-2.5-flash-lite-preview-09-2025",
"name": "Google: Gemini 2.5 Flash Lite Preview 09-2025",
"description": "Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance across common benchmarks compared to earlier Flash models. By default, \"thinking\" (i.e. multi-pass reasoning) is disabled to prioritize speed, but developers can enable it via the [Reasoning API parameter](https://openrouter.ai/docs/use-cases/reasoning-tokens) to selectively trade off cost for intelligence. ",
"created": 1758819686,
"canonical_slug": "google/gemini-2.5-flash-lite-preview-09-2025",
"hugging_face_id": "",
"source_type": "openrouter_only",
"context_length": 1048576,
"max_completion_tokens": 65535,
"is_moderated": false,
"architecture": {
"modality": "text+image+file+audio+video->text",
"input_modalities": [
"text",
"image",
"file",
"audio",
"video"
],
"output_modalities": [
"text"
],
"tokenizer": "Gemini",
"instruct_type": null
},
"input_modalities": [
"text",
"image",
"file",
"audio",
"video"
],
"output_modalities": [
"text"
],
"modality": "text+image+file+audio+video->text",
"tokenizer": "Gemini",
"instruct_type": null,
"supported_parameters": [
"include_reasoning",
"max_tokens",
"reasoning",
"response_format",
"seed",
"stop",
"structured_outputs",
"temperature",
"tool_choice",
"tools",
"top_p"
],
"default_parameters": {
"temperature": null,
"top_p": null,
"frequency_penalty": null
},
"per_request_limits": null,
"top_provider": {
"context_length": 1048576,
"max_completion_tokens": 65535,
"is_moderated": false
},
"pricing": {
"prompt": "0.0000001",
"completion": "0.0000004",
"image": "0.0000001",
"audio": "0.0000003",
"internal_reasoning": "0.0000004",
"input_cache_read": "0.00000001",
"input_cache_write": "0.00000008333333333333334"
},
"PPM": {
"prompt": 0.1,
"completion": 0.4,
"image": 0.1,
"audio": 0.3,
"internal_reasoning": 0.4,
"input_cache_read": 0.01,
"input_cache_write": 0.0833
},
"openrouter_raw": {
"id": "google/gemini-2.5-flash-lite-preview-09-2025",
"canonical_slug": "google/gemini-2.5-flash-lite-preview-09-2025",
"hugging_face_id": "",
"name": "Google: Gemini 2.5 Flash Lite Preview 09-2025",
"created": 1758819686,
"description": "Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance across common benchmarks compared to earlier Flash models. By default, \"thinking\" (i.e. multi-pass reasoning) is disabled to prioritize speed, but developers can enable it via the [Reasoning API parameter](https://openrouter.ai/docs/use-cases/reasoning-tokens) to selectively trade off cost for intelligence. ",
"context_length": 1048576,
"architecture": {
"modality": "text+image+file+audio+video->text",
"input_modalities": [
"text",
"image",
"file",
"audio",
"video"
],
"output_modalities": [
"text"
],
"tokenizer": "Gemini",
"instruct_type": null
},
"pricing": {
"prompt": "0.0000001",
"completion": "0.0000004",
"image": "0.0000001",
"audio": "0.0000003",
"internal_reasoning": "0.0000004",
"input_cache_read": "0.00000001",
"input_cache_write": "0.00000008333333333333334"
},
"top_provider": {
"context_length": 1048576,
"max_completion_tokens": 65535,
"is_moderated": false
},
"per_request_limits": null,
"supported_parameters": [
"include_reasoning",
"max_tokens",
"reasoning",
"response_format",
"seed",
"stop",
"structured_outputs",
"temperature",
"tool_choice",
"tools",
"top_p"
],
"default_parameters": {
"temperature": null,
"top_p": null,
"frequency_penalty": null
},
"expiration_date": null
}
}