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googleListed Mar 11

Google: Gemma 4 26B A4B

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

262.1K context26BImage inputVideo inputNo reported score
No reported score
$0.09in$0.30out/ 1M tokens · USDNextBit · via OpenRouternextbit/bf16 · quantization=bf16
QwenListed Apr 27

Qwen3-14B

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers…

41K context14BTool callingStructured outputNo reported score
No reported score
$0.10in$0.22out/ 1M tokens · USDNextBit · via OpenRouternextbit/int4 · quantization=int4
googleListed Mar 1

gemma-3-27b-it

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and…

131.1K context27BImage inputTool callingNo reported score
No reported score
$0.08in$0.35out/ 1M tokens · USDNextBit · via OpenRouternextbit/fp8 · quantization=fp8
googleListed Jul 13

Google: Gemma 2 27B

Gemma 2 27B by Google is an open model built from the same research and technology used to create the Gemini models. Gemma models are well-suited for a variety of...

8.2K context27BStructured outputOpen weightsNo reported score
No reported score
$0.65in$0.65out/ 1M tokens · USDNextBit · via OpenRouternextbit/int4 · quantization=int4