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

4 is the maximum. Remove one to add another.

transcribe-1 vs perceptron-mk1.5 vs gemini-3.5-transcribe vs claude-opus-5.5
AttributeTranscribe 1transcribe-1Perceptron Mk1.5perceptron-mk1.5Gemini 3.5 Transcribegemini-3.5-transcribeClaude 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 contextN/A36.9K98.3K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoNoYesYes
JSON ModeNoNoNoYes
StreamingNoYesNoYes
Catalogue
ProviderFish AudioPerceptronGoogleAnthropic
Categoryvoicechatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-292026-09-252026-09-25—
Description
SummaryFish Audio Transcribe 1 speech-to-text. Billed per second of audio.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output 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.