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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. Gemini 3.5 TranscribeGoogleRemove
  2. MiMo-V2-FlashXiaomiRemove
  3. GPT-6.1 SolOpenAIRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs mimo-v2-flash vs gpt-6.1-sol vs perceptron-mk1.5
AttributeGemini 3.5 Transcribegemini-3.5-transcribeMiMo-V2-Flashmimo-v2-flashGPT-6.1 Solgpt-6.1-solPerceptron Mk1.5perceptron-mk1.5
Pricing
Input— Not priced per input token$0.09 / 1M$2.00 / 1M$0.15 / 1M
Output— Not priced per output token$0.29 / 1M$10.00 / 1M$1.50 / 1M
Cache Write (5m)Not applicable$0.09 / 1M$2.00 / 1M$0.15 / 1M
Cache Write (1h)Not applicable$0.09 / 1M$2.00 / 1M$0.15 / 1M
Cache ReadNot applicable$0.09 / 1M$2.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K262.1K1M36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeNoYesYesNo
StreamingNoYesYesYes
Catalogue
ProviderGoogleXiaomiOpenAIPerceptron
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25——2026-09-25
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.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-6.1 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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.