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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.

Mistral Small 4Mistral AI Remove
Universal-3.5 ProAssemblyAI Remove
GPT-6.1 SolOpenAI Remove

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mistral-small-2603 vs universal-3-5-pro vs gpt-6.1-sol
Attribute	Mistral Small 4mistral-small-2603	Universal-3.5 Prouniversal-3-5-pro	GPT-6.1 Solgpt-6.1-sol
Pricing
Input	$0.15 / 1M	— Not priced per input token	$2.00 / 1M
Output	$0.60 / 1M	— Not priced per output token	$10.00 / 1M
Cache Write (5m)	$0.15 / 1M	Not applicable	$2.00 / 1M
Cache Write (1h)	$0.15 / 1M	Not applicable	$2.00 / 1M
Cache Read	$0.15 / 1M	Not applicable	$2.00 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	262.1K	N/A	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	No	Yes
Catalogue
Provider	Mistral AI	AssemblyAI	OpenAI
Category	chat	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-09-22	—
Description
Summary	Mistral Small 4 is the latest release in the Mistral Small family, unifying capabilities from multiple flagship models into a single system. It integrates strong reasoning (Magistral), multimodal understanding (Pixtral), and agentic coding capabilities (Devstral), enabling a versatile, all-in-one model. Designed to handle complex analysis, software development, and visual tasks within the same workflow, Mistral Small 4 is well suited for integrated agentic applications and end-to-end problem solving across domains.	AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.	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.