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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.

  1. MiMo-V2-FlashXiaomiRemove
  2. GPT-6 LunaOpenAIRemove
  3. Claude Sonnet 5.5AnthropicRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

mimo-v2-flash vs gpt-6-luna vs claude-sonnet-5.5 vs perceptron-mk1.5
AttributeMiMo-V2-Flashmimo-v2-flashGPT-6 Lunagpt-6-lunaClaude Sonnet 5.5claude-sonnet-5.5Perceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.09 / 1M$0.10 / 1M$2.00 / 1M$0.15 / 1M
Output$0.29 / 1M$0.50 / 1M$10.00 / 1M$1.50 / 1M
Cache Write (5m)$0.09 / 1M$0.10 / 1M$2.50 / 1M$0.15 / 1M
Cache Write (1h)$0.09 / 1M$0.10 / 1M$4.00 / 1M$0.15 / 1M
Cache Read$0.09 / 1M$0.10 / 1M$0.20 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262.1K1.1M1M36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesYes
Catalogue
ProviderXiaomiOpenAIAnthropicPerceptron
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released———2026-09-25
Description
SummaryMiMo-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.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.