Skip to content

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. GPT-6 Sol ProOpenAIRemove
  2. Aura-2DeepgramRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. Claude Opus 5.5AnthropicRemove

4 is the maximum. Remove one to add another.

gpt-6-sol-pro vs aura-2 vs perceptron-mk1.5 vs claude-opus-5.5
AttributeGPT-6 Sol Progpt-6-sol-proAura-2aura-2Perceptron Mk1.5perceptron-mk1.5Claude Opus 5.5claude-opus-5.5
Pricing
Input$2.00 / 1M$0 / 1M$0.15 / 1M$4.00 / 1M
Output$10.00 / 1M$0 / 1M$1.50 / 1M$20.00 / 1M
Cache Write (5m)$2.00 / 1MNot applicable$0.15 / 1M$5.00 / 1M
Cache Write (1h)$2.00 / 1MNot applicable$0.15 / 1M$8.00 / 1M
Cache Read$2.00 / 1MNot applicable$0.15 / 1M$0.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1MN/A36.9K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeYesNoNoYes
StreamingYesNoYesYes
Catalogue
ProviderOpenAIDeepgramPerceptronAnthropic
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-162026-09-25—
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.Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Claude Opus 5.5 is Anthropic's flagship model for advanced reasoning, coding, and long-horizon agentic workflows, succeeding Opus 5. It excels at multi-step changes across large codebases, code review and bug detection, financial and scientific analysis, and understanding dense charts, diagrams, and screenshots, with stronger grounding when reporting figures and citing sources. Compared with Opus 5, it completes comparable tasks with fewer steps and lower token usage while providing clearer, more concise progress reporting. With adaptive thinking and configurable effort levels, Opus 5.5 can balance reasoning depth, latency, and cost, making it well suited for both demanding autonomous workflows and latency-sensitive professional tasks.