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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. Claude Opus 5.5AnthropicRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gpt-6-sol-pro vs claude-opus-5.5 vs gemini-3.5-transcribe
AttributeGPT-6 Sol Progpt-6-sol-proClaude Opus 5.5claude-opus-5.5Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$2.00 / 1M$4.00 / 1M$0 / 1M
Output$10.00 / 1M$20.00 / 1M$0 / 1M
Cache Write (5m)$2.00 / 1M$5.00 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$8.00 / 1MNot applicable
Cache Read$2.00 / 1M$0.40 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderOpenAIAnthropicGoogle
Categorychatchatvoice
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.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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.