New in week 43

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from…

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context…

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek.

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture.

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name.

Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total.

Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world.

Ember-1 is a specialized reasoning model from Fireworks Research, built on [Kimi K3](https://openrouter.ai/moonshotai/kimi-k3).

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks.

Gemini 2.5 Flash Image, a.k.a.

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency.

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks.

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks.

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance.

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro.

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro.

Gemini 3.1 Flash Image, a.k.a.

Gemini 3.1 Flash Image Preview, a.k.a.

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads.

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and…

Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases.

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more…

Gemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse of a general bash tool when…

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed.

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities.

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development.

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning.

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…

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous…

Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro.

Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini).

Gemma 3 introduces multimodality, supporting vision-language input and text outputs.

Gemma 3 introduces multimodality, supporting vision-language input and text outputs.

Gemma 3 introduces multimodality, supporting vision-language input and text outputs.

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind.

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output.

30 second duration clips are priced at $0.04 per clip.

Full-length songs are priced at $0.08 per song.

One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay.

Open-weights 34.39B-parameter text model from 01-ai on Hugging Face (apache-2.0).

Open-weights 34.39B-parameter text model from 01-ai on Hugging Face (apache-2.0).

Open-weights 34.39B-parameter text model from 01-ai on Hugging Face (apache-2.0).

Open-weights 6.06B-parameter text model from 01-ai on Hugging Face (apache-2.0).

Open-weights 51.57B-parameter text model from ai21labs on Hugging Face (apache-2.0).

Open-weights 30.53B-parameter text model from Alibaba-NLP on Hugging Face (apache-2.0).

Open-weights 4.21B-parameter text model from alibiserikbay on Hugging Face (apache-2.0).

Open-weights 1.48B-parameter text model from allenai on Hugging Face (apache-2.0).

Open-weights 7.3B-parameter text model from allenai on Hugging Face (apache-2.0).

Open-weights 7.3B-parameter text model from allenai on Hugging Face (apache-2.0).

Open-weights 7.3B-parameter text model from allenai on Hugging Face (apache-2.0).