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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
Perceptron Mk1.5Perceptron Remove
GPT-6 Sol ProOpenAI Remove

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gemma-4-26b-a4b-it:free vs perceptron-mk1.5 vs gpt-6-sol-pro
Attribute	Gemma 4 26B A4B (Free)gemma-4-26b-a4b-it:free	Perceptron Mk1.5perceptron-mk1.5	GPT-6 Sol Progpt-6-sol-pro
Pricing
Input	$0 / 1M	$0.15 / 1M	$2.00 / 1M
Output	$0 / 1M	$1.50 / 1M	$10.00 / 1M
Cache Write	$0 / 1M	—	—
Cache Read	$0 / 1M	$0.15 / 1M	$2.00 / 1M
Cache Write (5m)	—	$0.15 / 1M	$2.00 / 1M
Cache Write (1h)	—	$0.15 / 1M	$2.00 / 1M
Web Search	—	$0 / 1M	$0 / 1M
Context
Max context	262.1K	36.9K	1.1M
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes
Function Calling	Yes	No	Yes
JSON Mode	Yes	No	Yes
Streaming	Yes	Yes	Yes
Catalogue
Provider	Google	Perceptron	OpenAI
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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.