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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. Perceptron Mk1.5PerceptronRemove
  3. GPT-6 SolOpenAIRemove
  4. Gemini 3.5 TranscribeGoogleRemove

4 is the maximum. Remove one to add another.

mimo-v2-flash vs perceptron-mk1.5 vs gpt-6-sol vs gemini-3.5-transcribe
AttributeMiMo-V2-Flashmimo-v2-flashPerceptron Mk1.5perceptron-mk1.5GPT-6 Solgpt-6-solGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.09 / 1M$0.15 / 1M$2.00 / 1M— Not priced per input token
Output$0.29 / 1M$1.50 / 1M$10.00 / 1M— Not priced per output token
Cache Write (5m)$0.09 / 1M$0.15 / 1M$2.00 / 1MNot applicable
Cache Write (1h)$0.09 / 1M$0.15 / 1M$2.00 / 1MNot applicable
Cache Read$0.09 / 1M$0.15 / 1M$2.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262.1K36.9K1.1M98.3K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesNo
StreamingYesYesYesNo
Catalogue
ProviderXiaomiPerceptronOpenAIGoogle
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25—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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applicationsGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.