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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

Gemma 4 26B A4B (Free)Google Remove
GPT-6 LunaOpenAI Remove
Perceptron Mk1.5Perceptron Remove

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gemma-4-26b-a4b-it:free vs gpt-6-luna vs perceptron-mk1.5
Attribute	Gemma 4 26B A4B (Free)gemma-4-26b-a4b-it:free	GPT-6 Lunagpt-6-luna	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$0 / 1M	$0.10 / 1M	$0.15 / 1M
Output	$0 / 1M	$0.50 / 1M	$1.50 / 1M
Cache Write	$0 / 1M	—	—
Cache Read	$0 / 1M	$0.10 / 1M	$0.15 / 1M
Cache Write (5m)	—	$0.10 / 1M	$0.15 / 1M
Cache Write (1h)	—	$0.10 / 1M	$0.15 / 1M
Web Search	—	$0 / 1M	$0 / 1M
Context
Max context	262.1K	1.1M	36.9K
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No
Function Calling	Yes	Yes	No
JSON Mode	Yes	Yes	No
Streaming	Yes	Yes	Yes
Catalogue
Provider	Google	OpenAI	Perceptron
Category	chat	chat	chat
Charge type	Free	Pay As You Go	Pay As You Go
Released	—	—	2026-09-25
Description
Summary	Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind, featuring 25.2B total parameters with only 3.8B activated per token—delivering near 31B-class quality at a fraction of the compute cost. It supports multimodal inputs including text, images, and video (up to 60s at 1fps). The model includes a 256K token context window, native function calling, configurable thinking/reasoning modes, and structured output support. Released under the Apache 2.0 license, it is well suited for efficient, production-ready multimodal and agentic applications.	GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.