Skip to content

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. Claude Fable 5.2AnthropicRemove
  2. GPT-6.1 TerraOpenAIRemove
  3. Gemini Embedding 2GoogleRemove
claude-fable-5.2 vs gpt-6.1-terra vs gemini-embedding-2-preview
AttributeClaude Fable 5.2claude-fable-5.2GPT-6.1 Terragpt-6.1-terraGemini Embedding 2gemini-embedding-2-preview
Pricing
Input$8.00 / 1M$1.00 / 1M$0.60 / 1M
Output$40.00 / 1M$5.00 / 1M$2.40 / 1M
Cache Write (5m)$10.00 / 1M$1.00 / 1M$0.60 / 1M
Cache Write (1h)$16.00 / 1M$1.00 / 1M$0.60 / 1M
Cache Read$0.20 / 1M$1.00 / 1M$0.60 / 1M
Web Search$0 / 1M$0 / 1M—
Context
Max context1M1M8.2K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingYesNoNo
Catalogue
ProviderAnthropicOpenAIGoogle
Categorychatchatembedding
Charge typePay As You GoPay 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.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 Embedding 2 is Google's advanced text embedding model designed for high-accuracy semantic representation across large-scale retrieval and understanding tasks. It converts text into dense vector embeddings optimized for semantic search, retrieval-augmented generation (RAG), clustering, classification, and recommendation systems. Built for production use, it offers strong multilingual support, improved semantic similarity accuracy, and efficient embedding generation, making it well suited for large knowledge indexing pipelines and enterprise-scale retrieval applications.