NextBit

Inference host · 7 models · 7 priced routes

Models on NextBit

Model	In / out per 1M	Vs headline
Gemma 3 12B int4 · Gemma 3 introduces multimodality, supporting vision-language input and text outputs.	$0.075 / $0.15+56% vs headline	+56%	int4 · Gemma 3 introduces multimodality, supporting vision-language input and text outputs.
Qwen3 14B int4 · Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue.	$0.1 / $0.22Same vs headline	Same	int4 · Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue.
Gemma 4 26B A4B bf16 · Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind.	$0.09 / $0.3+68% vs headline	+68%	bf16 · Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind.
Gemma 3 27B fp8 · Gemma 3 introduces multimodality, supporting vision-language input and text outputs.	$0.08 / $0.35+47% vs headline	+47%	fp8 · Gemma 3 introduces multimodality, supporting vision-language input and text outputs.
Gemma 4 31B fp4 · Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output.	$0.15 / $0.4+33% vs headline	+33%	fp4 · Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output.
GLM 5.3 Flash fp4 · GLM-5.3-Flash is a native multimodal model from Z.ai.	$0.25 / $0.7+646% vs headline	+646%	fp4 · GLM-5.3-Flash is a native multimodal model from Z.ai.
Gemma 2 27B int4 · Gemma 2 27B by Google is an open model built from the same research and technology used to create the Gemini models.	$0.65 / $0.65Same vs headline	Same	int4 · Gemma 2 27B by Google is an open model built from the same research and technology used to create the Gemini models.