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 (batch)
ornith-ai/Ornith-1.5-9B-GGUF
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$875
n/a
—
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$850
n/a
—
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)
$900
n/a
—
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$550
n/a
—
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$275
n/a
—
Capabilities side by side
Capability
Anthropic: Claude Fable 5 (batch)
ornith-ai/Ornith-1.5-9B-GGUF
What it lets you do
Tool / function calling
✓ Yes
—
call your APIs and run agent loops
Structured output (JSON schema)
✓ Yes
—
return JSON that validates against your schema
Reasoning / thinking mode
✓ Yes
—
spend extra tokens thinking before answering hard problems
Image input
✓ Yes
—
read screenshots, charts and scanned pages
Audio input
—
—
take speech or audio directly
File / PDF input
✓ Yes
—
accept documents without your own parsing step
Image output
—
—
generate images, not just text
Built-in web search
✓ Yes
—
answer from live web results
Seed (reproducible sampling)
—
—
repeat a generation for tests and evals
Log-probabilities
—
—
read token confidence for classification and scoring
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Price history
Anthropic: Claude Fable 5 (batch): price unchanged since we started tracking it on 2026-08-07.
Which should you choose?
Choose Anthropic: Claude Fable 5 (batch) if…
you need tool / function calling — to call your APIs and run agent loops; ornith-ai/Ornith-1.5-9B-GGUF does not advertise it
you need structured output (JSON schema) — to return JSON that validates against your schema; ornith-ai/Ornith-1.5-9B-GGUF does not advertise it
you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; ornith-ai/Ornith-1.5-9B-GGUF does not advertise it
you need image input — to read screenshots, charts and scanned pages; ornith-ai/Ornith-1.5-9B-GGUF does not advertise it
you need file / PDF input — to accept documents without your own parsing step; ornith-ai/Ornith-1.5-9B-GGUF does not advertise it
you need built-in web search — to answer from live web results; ornith-ai/Ornith-1.5-9B-GGUF does not advertise it
Choose ornith-ai/Ornith-1.5-9B-GGUF if…
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
Frequently asked questions
Is Anthropic: Claude Fable 5 (batch) better than ornith-ai/Ornith-1.5-9B-GGUF?
Anthropic: Claude Fable 5 (batch) comes out ahead on the data we track: 6 advantages and none for ornith-ai/Ornith-1.5-9B-GGUF.
Do Anthropic: Claude Fable 5 (batch) and ornith-ai/Ornith-1.5-9B-GGUF support function calling and JSON output?
Tool calling — Anthropic: Claude Fable 5 (batch): yes, ornith-ai/Ornith-1.5-9B-GGUF: not advertised. JSON-schema structured output — Anthropic: Claude Fable 5 (batch): yes, ornith-ai/Ornith-1.5-9B-GGUF: not advertised.
Can Anthropic: Claude Fable 5 (batch) or ornith-ai/Ornith-1.5-9B-GGUF read images?
Only Anthropic: Claude Fable 5 (batch) accepts image input; ornith-ai/Ornith-1.5-9B-GGUF is text-only for input.
Is Anthropic: Claude Fable 5 (batch) or ornith-ai/Ornith-1.5-9B-GGUF free to use?
No free variant is listed for either; both are pay-per-token.
Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...