Compare DeepSeek V4 Flash from DeepSeek and Gemma 4 26B A4B It (free) from Google on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
DeepSeek V4 Flash
Gemma 4 26B A4B It (free)DeepSeek V4 Flash 0423 is DeepSeek's efficiency-optimized Mixture-of-Experts text model, designed for fast inference and workflows requiring tool use, function calling, and structured outputs. It features 284B total parameters with 13B activated parameters and supports a 1M-token context window with cost-effective pricing.
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model developed by Google DeepMind. Featuring an expansive context length of 262,144 tokens, this model is built to handle highly complex and long-form tasks. While containing 25.2B total parameters, only 3.8B activate per token during inference, delivering premium quality with outstanding efficiency.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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DeepSeek V4 Flash accepts 1,000,000 and Gemma 4 26B A4B It (free) accepts 262,144 input tokens.
DeepSeek V4 Flash accepts text input and supports tool calling, function calling and structured outputs; Gemma 4 26B A4B It (free) accepts text, image and video input and supports reasoning, tool calling and long context.
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