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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Claude Fable 5.2AnthropicRemove
  2. Whisper Large V3OpenAIRemove
claude-fable-5.2 vs whisper-large-v3
AttributeClaude Fable 5.2claude-fable-5.2Whisper Large V3whisper-large-v3
Pricing
Input$8.00 / 1M$9.25 / 1M
Output$40.00 / 1M— Not priced per output token
Cache Write (5m)$10.00 / 1MNot applicable
Cache Write (1h)$16.00 / 1MNot applicable
Cache Read$0.20 / 1MNot applicable
Web Search$0 / 1M$0 / 1M
Context
Max context1MN/A
Max outputN/AN/A
Capabilities
VisionYesNo
Function CallingYesNo
JSON ModeYesYes
StreamingYesNo
Catalogue
ProviderAnthropicOpenAI
Categorychatvoice
Charge typePay As You GoPay As You Go
Released——
Description
SummaryClaude 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.Whisper Large V3 is OpenAI's advanced open-source automatic speech recognition (ASR) model, supporting both audio transcription and translation across 99+ languages. It accepts common audio formats including mp3, mp4, wav, webm, flac, and ogg, and delivers strong performance in noisy, real-world conditions. With 1.55B parameters and a low 10.3% word error rate, it provides accurate, multilingual transcription with support for word- and segment-level timestamps, making it well suited for high-quality, noise-robust speech processing applications.