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Apertis

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. Gemini 3.5 TranscribeGoogleRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Transcribe 1 ProFish AudioRemove
  4. Claude Opus 5.5AnthropicRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs perceptron-mk1.5 vs transcribe-1-pro vs claude-opus-5.5
AttributeGemini 3.5 Transcribegemini-3.5-transcribePerceptron Mk1.5perceptron-mk1.5Transcribe 1 Protranscribe-1-proClaude Opus 5.5claude-opus-5.5
Pricing
Input$0 / 1M$0.15 / 1M$0 / 1M$4.00 / 1M
Output$0 / 1M$1.50 / 1M$0 / 1M$20.00 / 1M
Cache Write (5m)Not applicable$0.15 / 1MNot applicable$5.00 / 1M
Cache Write (1h)Not applicable$0.15 / 1MNot applicable$8.00 / 1M
Cache ReadNot applicable$0.15 / 1MNot applicable$0.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K36.9KN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeNoNoNoYes
StreamingNoYesNoYes
Catalogue
ProviderGooglePerceptronFish AudioAnthropic
Categoryvoicechatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-09-252026-09-24—
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Perceptron 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.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.