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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. Perceptron Mk1.5PerceptronRemove
  3. Gemma 4 31B (Free)GoogleRemove
gpt-6-sol-pro vs perceptron-mk1.5 vs gemma-4-31b-it:free
AttributeGPT-6 Sol Progpt-6-sol-proPerceptron Mk1.5perceptron-mk1.5Gemma 4 31B (Free)gemma-4-31b-it:free
Pricing
Input$2.00 / 1M$0.15 / 1M$0 / 1M
Output$10.00 / 1M$1.50 / 1M$0 / 1M
Cache Write (5m)$2.00 / 1M$0.15 / 1M—
Cache Write (1h)$2.00 / 1M$0.15 / 1M—
Cache Read$2.00 / 1M$0.15 / 1M$0 / 1M
Web Search$0 / 1M$0 / 1M—
Cache Write——$0 / 1M
Context
Max context1.1M36.9K262.1K
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesYesYes
Catalogue
ProviderOpenAIPerceptronGoogle
Categorychatchatchat
Charge typePay As You GoPay As You GoFree
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model, supporting text and image inputs with text outputs. It features a 256K token context window, configurable thinking/reasoning modes, native function calling, and broad multilingual support across 140+ languages. The model delivers strong performance in coding, reasoning, and document understanding, making it well suited for developer workflows, multilingual applications, and structured knowledge tasks.