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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-5.6 Sol ProOpenAIRemove
  2. DeepSeek V4.1 FlashDeepSeekRemove
  3. Perceptron Mk1.5PerceptronRemove
gpt-5.6-sol-pro vs deepseek-v4.1-flash vs perceptron-mk1.5
AttributeGPT-5.6 Sol Progpt-5.6-sol-proDeepSeek V4.1 Flashdeepseek-v4.1-flashPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$5.00 / 1M$0.30 / 1M$0.15 / 1M
Output$30.00 / 1M$1.20 / 1M$1.50 / 1M
Cache Write (5m)$5.00 / 1M$0.30 / 1M$0.15 / 1M
Cache Write (1h)$5.00 / 1M$0.30 / 1M$0.15 / 1M
Cache Read$5.00 / 1M$0.30 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesYes
Catalogue
ProviderOpenAIDeepSeekPerceptron
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryGPT-5.6 Sol Pro uses the same underlying model as GPT-5.6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning and more reliable execution, it is particularly well suited for advanced coding, long-horizon problem solving, and agentic workflows where accuracy and solution quality take priority over speed and cost.DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.