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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 31B (Free)Google Remove
GPT-6.1 SolOpenAI Remove
Perceptron Mk1.5Perceptron Remove

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gemma-4-31b-it:free vs gpt-6.1-sol vs perceptron-mk1.5
Attribute	Gemma 4 31B (Free)gemma-4-31b-it:free	GPT-6.1 Solgpt-6.1-sol	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$0 / 1M	$2.00 / 1M	$0.15 / 1M
Output	$0 / 1M	$10.00 / 1M	$1.50 / 1M
Cache Write	$0 / 1M	—	—
Cache Read	$0 / 1M	$2.00 / 1M	$0.15 / 1M
Cache Write (5m)	—	$2.00 / 1M	$0.15 / 1M
Cache Write (1h)	—	$2.00 / 1M	$0.15 / 1M
Web Search	—	$0 / 1M	$0 / 1M
Context
Max context	262.1K	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 31B Instruct is Google DeepMind's 30.7B dense multimodal model, supporting text and image inputs with text outputs. It features a 256K token context window, configurable thinking/reasoning modes, native function calling, and broad multilingual support across 140+ languages. The model delivers strong performance in coding, reasoning, and document understanding, making it well suited for developer workflows, multilingual applications, and structured knowledge tasks.	GPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.