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58 matches for “google” · newest firstPage 1 / 3

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googleListed 4 days ago

Google: Gemini 4 Argon (batch)

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep…

1M contextImage inputAudio inputNo reported score
No reported score
$1.00in$5.00out/ 1M tokens · USDGoogle · via OpenRouter · 2 endpointsgoogle-vertex/global
googleListed 22 days ago

Google: Gemini 3.5 Transcribe

Gemini 3.5 Transcribe is a speech-to-text model from Google. It is suited for synchronous transcription that needs word-level timestamps or speaker diarization, with support for up to eight speakers. Audio...

98.3K contextAudio inputNo reported score
No reported score
$2.00in$12.00out/ 1M tokens · USDOpenRouter
googleListed 27 days ago

Lyria 3.5

Lyria 3.5 is Google DeepMind's latest music generation model, and you can generate almost any type of music with it

No reported score
No reported score
Listed from $0.10/ generation · USDfal
googleListed Sep 2

Google: Gemini 3.8 Flash

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

1M contextImage inputAudio inputNo reported score
No reported score
$0.375in$1.875out/ 1M tokens · USDGoogle AI Studio · via OpenRouter · 9 endpointsgoogle-ai-studio/flex · tier=flex
googleListed Sep 2

Google: Gemini 3.8 Flash (batch)

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

1M contextImage inputAudio inputNo reported score
No reported score
$0.375in$1.875out/ 1M tokens · USDGoogle · via OpenRouter · 2 endpointsgoogle-vertex/global
googleListed Aug 13

Google: Gemini 3.7 Flash

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

1M contextImage inputAudio inputNo reported score
No reported score
$0.375in$1.875out/ 1M tokens · USDGoogle AI Studio · via OpenRouter · 10 endpointsgoogle-ai-studio/flex · tier=flex
googleListed Aug 13

Google: Gemini 3.7 Flash (batch)

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

1M contextImage inputAudio inputNo reported score
No reported score
$0.375in$1.875out/ 1M tokens · USDGoogle · via OpenRouter · 2 endpointsgoogle-vertex/global
googleListed Jul 21

Google: Gemini 3.6 Flash

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...

1M contextImage inputAudio inputNo reported score
No reported score
$0.375in$1.875out/ 1M tokens · USDGoogle AI Studio · via OpenRouter · 9 endpointsgoogle-ai-studio/flex · tier=flex
googleListed Jul 21

Google: Gemini 3.6 Flash (batch)

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...

1M contextImage inputAudio inputNo reported score
No reported score
$0.375in$1.875out/ 1M tokens · USDGoogle · via OpenRouter · 2 endpointsgoogle-vertex/global
googleListed Jul 21

Google: Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

1M contextImage inputAudio inputNo reported score
No reported score
$0.15in$1.25out/ 1M tokens · USDGoogle AI Studio · via OpenRouter · 10 endpointsgoogle-ai-studio/flex · tier=flex
googleListed Jul 21

Google: Gemini 3.5 Flash Lite (batch)

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

1M contextImage inputAudio inputNo reported score
No reported score
$0.15in$1.25out/ 1M tokens · USDGoogle · via OpenRouter · 2 endpointsgoogle-vertex/global
nvidiaListed Jun 4

NVIDIA: Nemotron 3.5 Content Safety

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...

131.1K contextImage inputReasoningNo reported score
No reported score
$0.20in$0.20out/ 1M tokens · USDDeepInfra · via OpenRouter · 2 endpointsdeepinfra/bf16 · quantization=bf16
nvidiaListed Jun 4

NVIDIA: Nemotron 3.5 Content Safety (free)

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...

128K contextImage inputReasoningNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDNvidia · via OpenRouter · 2 endpointsnvidia
googleListed May 20

Google: Gemini Embedding 2

Gemini Embedding 2 is Google's first multimodal embedding model. We currently support mapping text and images into a unified vector space for semantic search and retrieval-augmented generation (RAG). It…

8.2K contextImage inputAudio inputNo reported score
No reported score
$0.20in$0.00out/ 1M tokens · USDOpenRouter
googleListed May 20

Google: Gemini Embedding 2 (batch)

Gemini Embedding 2 is Google's first multimodal embedding model. We currently support mapping text and images into a unified vector space for semantic search and retrieval-augmented generation (RAG). It…

8.2K contextImage inputAudio inputNo reported score
No reported score
$0.10in$0.00out/ 1M tokens · USDOpenRouter
googleListed May 19

Google: Gemini 3.5 Flash

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic…

1M contextImage inputAudio inputNo reported score
No reported score
$0.75in$4.50out/ 1M tokens · USDGoogle · via OpenRouter · 10 endpointsgoogle-vertex/global/flex · tier=flex
googleListed May 19

Google: Gemini 3.5 Flash (batch)

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic…

1M contextImage inputAudio inputNo reported score
No reported score
$0.75in$4.50out/ 1M tokens · USDGoogle · via OpenRouter · 2 endpointsgoogle-vertex/global
googleListed May 13

gemini-3-pro-image

Nano Banana Pro (Gemini 3 Pro Image) is designed to tackle the most challenging image generation by incorporating state-of-the-art reasoning capabilities. It is the best model for complex and multi-turn…

131.1K contextImage inputTool callingNo reported score
No reported score
Listed from $0.134/ image · USDDeepInfra · 3 endpoints1K and 2K output image
googleListed May 12

gemini-3.1-pro

Bring any idea to life with state-of-the-art reasoning to help you learn, build, and plan anything. Best for complex tasks and bringing creative concepts to life.

1M contextNo reported score
No reported score
$2.00in$12.00out/ 1M tokens · USDDeepInfra
googleListed May 11

gemma-4-31B-it-turbo

Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input and generating text output.

262.1K context31BNo reported score
No reported score
$0.09in$0.34out/ 1M tokens · USDDeepInfra