Skip to content
Apertis

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. GPT-6 Sol ProOpenAIRemove
  3. MiMo-V2-OmniXiaomiRemove
gemini-3.5-transcribe vs gpt-6-sol-pro vs mimo-v2-omni
AttributeGemini 3.5 Transcribegemini-3.5-transcribeGPT-6 Sol Progpt-6-sol-proMiMo-V2-Omnimimo-v2-omni
Pricing
Input— Not priced per input token$2.00 / 1M$0.40 / 1M
Output— Not priced per output token$10.00 / 1M$2.00 / 1M
Cache Write (5m)Not applicable$2.00 / 1M$0.40 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$0.40 / 1M
Cache ReadNot applicable$2.00 / 1M$0.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K1.1M262.1K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderGoogleOpenAIXiaomi
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-25——
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with advanced agentic capabilities, including visual grounding, multi-step planning, tool use, and code execution. With a 256K context window, MiMo-V2-Omni is well suited for complex real-world tasks that span multiple modalities, enabling integrated reasoning and execution across diverse input types.