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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. Perceptron Mk1.5PerceptronRemove
  2. Transcribe 1 ProFish AudioRemove
  3. GPT-6.1 SolOpenAIRemove
  4. Claude Opus 5.5AnthropicRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs transcribe-1-pro vs gpt-6.1-sol vs claude-opus-5.5
AttributePerceptron Mk1.5perceptron-mk1.5Transcribe 1 Protranscribe-1-proGPT-6.1 Solgpt-6.1-solClaude Opus 5.5claude-opus-5.5
Pricing
Input$0.15 / 1M$0 / 1M$2.00 / 1M$4.00 / 1M
Output$1.50 / 1M$0 / 1M$10.00 / 1M$20.00 / 1M
Cache Write (5m)$0.15 / 1MNot applicable$2.00 / 1M$5.00 / 1M
Cache Write (1h)$0.15 / 1MNot applicable$2.00 / 1M$8.00 / 1M
Cache Read$0.15 / 1MNot applicable$2.00 / 1M$0.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9KN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoNoYesYes
JSON ModeNoNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderPerceptronFish AudioOpenAIAnthropic
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-09-24——
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.GPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.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.