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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. Claude Fable 5.2AnthropicRemove
  3. GPT-6.1 TerraOpenAIRemove
  4. Gemini 4 ArgonGoogleRemove

4 is the maximum. Remove one to add another.

transcribe-1 vs claude-fable-5.2 vs gpt-6.1-terra vs gemini-4-argon
AttributeTranscribe 1transcribe-1Claude Fable 5.2claude-fable-5.2GPT-6.1 Terragpt-6.1-terraGemini 4 Argongemini-4-argon
Pricing
Input— Not priced per input token$8.00 / 1M$1.00 / 1M$2.00 / 1M
Output— Not priced per output token$40.00 / 1M$5.00 / 1M$10.00 / 1M
Cache Write (5m)Not applicable$10.00 / 1M$1.00 / 1M$2.00 / 1M
Cache Write (1h)Not applicable$16.00 / 1M$1.00 / 1M$2.00 / 1M
Cache ReadNot applicable$0.20 / 1M$1.00 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesNoYes
Catalogue
ProviderFish AudioAnthropicOpenAIGoogle
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-29———
Description
SummaryFish Audio Transcribe 1 speech-to-text. Billed per second of audio.Claude Fable 5.2 is Anthropic's most capable model for advanced technical work and open-ended problem solving, delivering significant improvements in coding, reasoning, and vision over Fable 5.1. It excels at exceptionally complex tasks, including large-scale software migrations, electronic system design, and advanced scientific and mathematical research. With up to 30% faster output generation, clearer communication, and always-on adaptive extended thinking, Fable 5.2 supports configurable reasoning effort from low to max (default high), with thinking preserved across turns. Designed for frontier engineering, scientific discovery, and ambitious long-horizon agentic workflows, it complements Opus 5.5 as a specialized option for the most demanding technical challenges.GPT-6.1 Terra is OpenAI’s mid-tier model in the GPT-6.1 series, designed to balance capability, speed, and cost efficiency. Positioned below GPT-6.1 Sol, it delivers strong performance across everyday agentic workflows, coding, and professional writing, with particular strengths in screenshot understanding and on-screen content analysis. Optimized for high-volume production workloads, GPT-6.1 Terra is well suited for coding assistants, visual interface analysis, workflow automation, and scalable agentic applications that require reliable performance at an accessible cost.Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.