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Claude Fable 5.1 vs OpenAI: GPT-6.1 Terra

anthropic/claude-fable-5.1 · openai/gpt-6.1-terra

As of November 4, 2026, OpenAI: GPT-6.1 Terra is the cheaper API on UberLLM: $0.0225 per million input tokens and $0.1125 per million output, versus $0.6847 / $3.42 for Claude Fable 5.1, about 97% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose OpenAI: GPT-6.1 Terra to cut cost; choose Claude Fable 5.1 when its capabilities fit your task better.

Claude Fable 5.1 vs OpenAI: GPT-6.1 Terra, side by side

SpecClaude Fable 5.1OpenAI: GPT-6.1 Terra
Price · input / 1M$0.6847$0.0225
Price · output / 1M$3.42$0.1125
Context length1,000,0001,050,000
Max output tokens128,000128,000
Input modalitiestext, image, filetext, image, file
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list93.2% off97.8% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 4, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Claude Fable 5.1 vs OpenAI: GPT-6.1 Terra — FAQ

Is Claude Fable 5.1 or OpenAI: GPT-6.1 Terra cheaper?

OpenAI: GPT-6.1 Terra is cheaper on a blended token mix, by about 97%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.

What's the price difference between Claude Fable 5.1 and OpenAI: GPT-6.1 Terra?

Claude Fable 5.1: $0.6847 in / $3.42 out per 1M tokens. OpenAI: GPT-6.1 Terra: $0.0225 in / $0.1125 out per 1M tokens. That's roughly a 97% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Claude Fable 5.1 and OpenAI: GPT-6.1 Terra with one API?

Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.

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