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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. GPT-6 Sol ProOpenAIRemove
  2. MiMo-V2-ProXiaomiRemove
  3. Perceptron Mk1.5PerceptronRemove
gpt-6-sol-pro vs mimo-v2-pro vs perceptron-mk1.5
AttributeGPT-6 Sol Progpt-6-sol-proMiMo-V2-Promimo-v2-proPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$2.00 / 1M$1.00 / 1M$0.15 / 1M
Output$10.00 / 1M$3.00 / 1M$1.50 / 1M
Cache Write (5m)$2.00 / 1M$1.00 / 1M$0.15 / 1M
Cache Write (1h)$2.00 / 1M$1.00 / 1M$0.15 / 1M
Cache Read$2.00 / 1M$1.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M1.0M36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesYes
Catalogue
ProviderOpenAIXiaomiPerceptron
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryGPT-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-Pro is Xiaomi's flagship foundation model with over 1T parameters and a 1M-token context window, optimized for advanced agentic workflows. It is highly adaptable to general agent frameworks such as OpenClaw, delivering strong performance in complex, real-world task execution. Ranking among the top tier on benchmarks like PinchBench and ClawBench, with performance approaching models like Opus 4.6, MiMo-V2-Pro is designed to act as the core intelligence of agent systems, orchestrating workflows, driving production engineering tasks, and delivering reliable results at scale.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.