Compare models

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
GPT-6 LunaOpenAI Remove
Gemini 3.5 TranscribeGoogle Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

mistral-small-2603 vs gpt-6-luna vs gemini-3.5-transcribe vs perceptron-mk1.5
Attribute	Mistral Small 4mistral-small-2603	GPT-6 Lunagpt-6-luna	Gemini 3.5 Transcribegemini-3.5-transcribe	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$0.15 / 1M	$0.10 / 1M	— Not priced per input token	$0.15 / 1M
Output	$0.60 / 1M	$0.50 / 1M	— Not priced per output token	$1.50 / 1M
Cache Write (5m)	$0.15 / 1M	$0.10 / 1M	Not applicable	$0.15 / 1M
Cache Write (1h)	$0.15 / 1M	$0.10 / 1M	Not applicable	$0.15 / 1M
Cache Read	$0.15 / 1M	$0.10 / 1M	Not applicable	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	262.1K	1.1M	98.3K	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	Yes	No
Function Calling	Yes	Yes	Yes	No
JSON Mode	Yes	Yes	No	No
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	Mistral AI	OpenAI	Google	Perceptron
Category	chat	chat	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-09-25	2026-09-25
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.	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.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.