Anthropic: Claude Fable 5.1 vs OpenAI: o3 Deep Research

Neither wins outright: Anthropic: Claude Fable 5.1 is the pick when you need to fit long inputs in one request, OpenAI: o3 Deep Research when cost matters at scale.

Key numbers

SpecAnthropic: Claude Fable 5.1OpenAI: o3 Deep Research
ProviderAnthropicOpenAI
Input price (per 1M tokens)$10.00$10.00
Output price (per 1M tokens)$50.00$40.00
Blended price (3:1 input/output)$20.00$17.50
Cheaper than … of all models we track3%3%
Context window1M tokens (~1,500 pages)200K tokens (~300 pages)
Larger context than … of all models69%38%
Max output per response128K tokens (~96,000 words)100K tokens (~75,000 words)
Input typestext, image, fileimage, text, file
Output typestexttext
Free variantNoNo
Listed since2026-09-012025-10-10
Advertisement

What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)Anthropic: Claude Fable 5.1OpenAI: o3 Deep ResearchDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$1,750$1,550OpenAI: o3 Deep Research saves $200
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$1,700$1,600OpenAI: o3 Deep Research saves $100
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$1,800$1,680OpenAI: o3 Deep Research saves $120
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$1,100$1,040OpenAI: o3 Deep Research saves $60.00
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$550$540OpenAI: o3 Deep Research saves $10.00

Capabilities side by side

CapabilityAnthropic: Claude Fable 5.1OpenAI: o3 Deep ResearchWhat it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input✓ Yes✓ Yesread screenshots, charts and scanned pages
Audio input——take speech or audio directly
File / PDF input✓ Yes✓ Yesaccept documents without your own parsing step
Image output——generate images, not just text
Built-in web search✓ Yes✓ Yesanswer from live web results
Seed (reproducible sampling)—✓ Yesrepeat a generation for tests and evals
Log-probabilities—✓ Yesread token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

Which should you choose?

Choose Anthropic: Claude Fable 5.1 if…

  • you need to fit long inputs in one request — 1M tokens is roughly 1,500 pages, against 300
  • you want the newer model — released 2026-09-01, 11 months after the other

Choose OpenAI: o3 Deep Research if…

  • cost matters at scale — it is 13% cheaper on a typical 3:1 input/output mix ($1,550 vs $1,750 a month for 50,000 support chats)
  • you need seed (reproducible sampling) — to repeat a generation for tests and evals; Anthropic: Claude Fable 5.1 does not advertise it
  • you need log-probabilities — to read token confidence for classification and scoring; Anthropic: Claude Fable 5.1 does not advertise it

Frequently asked questions

Is Anthropic: Claude Fable 5.1 better than OpenAI: o3 Deep Research?

Neither wins outright: Anthropic: Claude Fable 5.1 is the pick when you need to fit long inputs in one request, OpenAI: o3 Deep Research when cost matters at scale. In short: Anthropic: Claude Fable 5.1 when you need to fit long inputs in one request, you want the newer model; OpenAI: o3 Deep Research when cost matters at scale, you need seed (reproducible sampling), you need log-probabilities.

Which is cheaper, Anthropic: Claude Fable 5.1 or OpenAI: o3 Deep Research?

OpenAI: o3 Deep Research is cheaper: $17.50 vs $20.00 per 1M tokens at a typical 3:1 input/output mix, 13% less. For 50,000 support conversations a month that is $1,550 against $1,750.

How much do Anthropic: Claude Fable 5.1 and OpenAI: o3 Deep Research cost per million tokens?

Anthropic: Claude Fable 5.1 costs $10.00 per 1M input tokens and $50.00 per 1M output tokens; OpenAI: o3 Deep Research costs $10.00 input and $40.00 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, Anthropic: Claude Fable 5.1 or OpenAI: o3 Deep Research?

Anthropic: Claude Fable 5.1: 1M tokens, about 1,500 pages, against 200K (about 300 pages) for OpenAI: o3 Deep Research.

Do Anthropic: Claude Fable 5.1 and OpenAI: o3 Deep Research support function calling and JSON output?

Tool calling — Anthropic: Claude Fable 5.1: yes, OpenAI: o3 Deep Research: yes. JSON-schema structured output — Anthropic: Claude Fable 5.1: yes, OpenAI: o3 Deep Research: yes.

Can Anthropic: Claude Fable 5.1 or OpenAI: o3 Deep Research read images?

Yes, both accept image input.

Is Anthropic: Claude Fable 5.1 or OpenAI: o3 Deep Research free to use?

No free variant is listed for either; both are pay-per-token.

What is the maximum output length of Anthropic: Claude Fable 5.1 and OpenAI: o3 Deep Research?

Anthropic: Claude Fable 5.1 can write up to 128K tokens (about 96,000 words) per response; OpenAI: o3 Deep Research up to 100K (about 75,000 words).

When were Anthropic: Claude Fable 5.1 and OpenAI: o3 Deep Research released?

Anthropic: Claude Fable 5.1 was listed on 2026-09-01; OpenAI: o3 Deep Research on 2025-10-10.

About the two models

Compare Anthropic: Claude Fable 5.1 with other models

Compare OpenAI: o3 Deep Research with other models

Advertisement