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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. Claude Sonnet 5.5AnthropicRemove
  4. Grok 4.7SpaceXAIRemove

4 is the maximum. Remove one to add another.

gpt-6-sol-pro vs aura-2 vs claude-sonnet-5.5 vs grok-4.7
AttributeGPT-6 Sol Progpt-6-sol-proAura-2aura-2Claude Sonnet 5.5claude-sonnet-5.5Grok 4.7grok-4.7
Pricing
Input$2.00 / 1M$0 / 1M$2.00 / 1M$1.60 / 1M
Output$10.00 / 1M$0 / 1M$10.00 / 1M$4.80 / 1M
Cache Write (5m)$2.00 / 1MNot applicable$2.50 / 1M$1.60 / 1M
Cache Write (1h)$2.00 / 1MNot applicable$4.00 / 1M$1.60 / 1M
Cache Read$2.00 / 1MNot applicable$0.20 / 1M$1.60 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1MN/A1M500K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderOpenAIDeepgramAnthropicSpaceXAI
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-16——
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.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.Grok 4.7 is SpaceXAI's flagship model for coding, agentic workflows, and professional knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering, self-verification, and long-context execution, while improving capabilities in document drafting, presentations, and other professional tasks. Trained with extended reinforcement learning focused on multi-hour problems, Grok 4.7 is optimized for sustained, complex task execution and natively supports the Grok Bot harness for conversational workflows. It also introduces an enhanced safeguard stack designed to combine strong jailbreak resistance with low refusal rates for legitimate technical work. Reported benchmark results use xhigh reasoning effort.