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
timm/vit_small_patch14_dinov2.lvd142m
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$1,750
n/a
—
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$1,700
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)
$1,800
n/a
—
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$1,100
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)
$550
n/a
—
Capabilities side by side
Capability
Anthropic: Claude Fable 5
timm/vit_small_patch14_dinov2.lvd142m
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: price unchanged since we started tracking it on 2026-08-06.
Which should you choose?
Choose Anthropic: Claude Fable 5 if…
you need tool / function calling — to call your APIs and run agent loops; timm/vit_small_patch14_dinov2.lvd142m does not advertise it
you need structured output (JSON schema) — to return JSON that validates against your schema; timm/vit_small_patch14_dinov2.lvd142m does not advertise it
you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; timm/vit_small_patch14_dinov2.lvd142m does not advertise it
you need image input — to read screenshots, charts and scanned pages; timm/vit_small_patch14_dinov2.lvd142m does not advertise it
you need file / PDF input — to accept documents without your own parsing step; timm/vit_small_patch14_dinov2.lvd142m does not advertise it
you need built-in web search — to answer from live web results; timm/vit_small_patch14_dinov2.lvd142m does not advertise it
Choose timm/vit_small_patch14_dinov2.lvd142m 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 better than timm/vit_small_patch14_dinov2.lvd142m?
Anthropic: Claude Fable 5 comes out ahead on the data we track: 6 advantages and none for timm/vit_small_patch14_dinov2.lvd142m.
Do Anthropic: Claude Fable 5 and timm/vit_small_patch14_dinov2.lvd142m support function calling and JSON output?
Tool calling — Anthropic: Claude Fable 5: yes, timm/vit_small_patch14_dinov2.lvd142m: not advertised. JSON-schema structured output — Anthropic: Claude Fable 5: yes, timm/vit_small_patch14_dinov2.lvd142m: not advertised.
Can Anthropic: Claude Fable 5 or timm/vit_small_patch14_dinov2.lvd142m read images?
Only Anthropic: Claude Fable 5 accepts image input; timm/vit_small_patch14_dinov2.lvd142m is text-only for input.
Is Anthropic: Claude Fable 5 or timm/vit_small_patch14_dinov2.lvd142m 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...