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.

MiMo-V2-FlashXiaomi Remove
GPT-6 LunaOpenAI Remove
Perceptron Mk1.5Perceptron Remove
Gemini 3.5 TranscribeGoogle Remove

4 is the maximum. Remove one to add another.

mimo-v2-flash vs gpt-6-luna vs perceptron-mk1.5 vs gemini-3.5-transcribe
Attribute	MiMo-V2-Flashmimo-v2-flash	GPT-6 Lunagpt-6-luna	Perceptron Mk1.5perceptron-mk1.5	Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input	$0.09 / 1M	$0.10 / 1M	$0.15 / 1M	— Not priced per input token
Output	$0.29 / 1M	$0.50 / 1M	$1.50 / 1M	— Not priced per output token
Cache Write (5m)	$0.09 / 1M	$0.10 / 1M	$0.15 / 1M	Not applicable
Cache Write (1h)	$0.09 / 1M	$0.10 / 1M	$0.15 / 1M	Not applicable
Cache Read	$0.09 / 1M	$0.10 / 1M	$0.15 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	262.1K	1.1M	36.9K	98.3K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	Yes
Function Calling	Yes	Yes	No	Yes
JSON Mode	Yes	Yes	No	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	Xiaomi	OpenAI	Perceptron	Google
Category	chat	chat	chat	voice
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	MiMo-V2-Flash is an open-source Mixture-of-Experts (MoE) foundation model developed by Xiaomi, featuring 309B total parameters with 15B activated per token and a hybrid attention architecture. It supports a 256K context window and a hybrid thinking mode toggle, enabling flexible trade-offs between speed and reasoning depth. The model excels in reasoning, coding, and agentic workflows, ranking #1 globally among open-source models on benchmarks such as SWE-bench Verified and SWE-bench Multilingual. With performance comparable to leading proprietary models like Claude Sonnet 4.5 at a fraction of the cost, MiMo-V2-Flash is well suited for efficient, high-performance deployments.	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.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.