Skip to main content
BenchLM
Data

Claude Fable 5.1 vs Inkling

Updated October 17, 2026. Rank says Claude Fable 5.1 is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

Share or export
Share on XLinkedInAPI/MCP

Decision reading

Claude Fable 5.1 has the higher public score, 83.18 versus 52.6, and the 90% score intervals do not overlap. 11 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
Anthropic logo

Anthropic

83.18/100

Supported · Public rank #4

90% interval 79.9–86.5

Model B
Thinking Machines Lab logo

Thinking Machines Lab

52.6/100

Supported · Public rank #85

90% interval 42.3–62.9

Shared results
11
Claude Fable 5.1 only
22
Inkling only
13
Like-for-like categories
3 / 8
Supported: Claude Fable 5.1 and InklingHow the comparison works

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Coding work

    Code generation, repair, and software-engineering tasks

    Claude Fable 5.1

    Claude Fable 5.1 has the higher public coding point estimate, 76.8 to 33.9, with Supported evidence for both models. The conditional ranges do not establish rank confidence.

    Confidence: limited
  • Agentic work

    Tool use, computer use, and multi-step task completion

    Claude Fable 5.1

    Claude Fable 5.1 has the higher public agentic point estimate, 80.9 to 37.2, with Supported evidence for both models. The conditional ranges do not establish rank confidence.

    Confidence: limited
  • Chat turn cost

    1K fresh input + 500 output tokens

    Inkling

    Inkling has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates
Show secondary and unsupported calls
  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Inkling

    Inkling has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates
  • Repository review cost

    50K fresh input + 3K output tokens

    Inkling

    Inkling has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates
  • Long documents

    Prompts that approach the documented context limit

    No clear pick

    The documented context windows are equal.

    Confidence: documented

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

76.8Claude Fable 5.133.9Inkling

Like-for-like · BenchAlign v5.8

Claude Fable 5.1 has the higher coding point estimate. Conditional score ranges do not establish rank confidence.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Same basis rules as the category table below

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

1 category rests on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Like-for-like
Claude Fable 5.1
80.9
Supported · #2/128
Inkling
37.2
Supported · #74/128
Basis
BenchAlign v5.8 lane · 12 vs 5 public rows
Reading
Claude Fable 5.1 leads

Coding

Like-for-like
Claude Fable 5.1
76.8
Supported · #3/150
Inkling
33.9
Supported · #82/150
Basis
BenchAlign v5.8 lane · 11 vs 6 public rows
Reading
Claude Fable 5.1 leads

Knowledge

Like-for-like
Claude Fable 5.1
86.9
Supported · #2/184
Inkling
54.6
Supported · #63/184
Basis
BenchAlign v5.8 lane · 4 vs 6 public rows
Reading
Claude Fable 5.1 leads

Reasoning

Directional only
Claude Fable 5.1
85.2
#4/28
Inkling
79.0
#14/28
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Directional only

Multimodal

Not comparable
Claude Fable 5.1
Not ranked
Inkling
67.5
#35/54
Basis
Provisional lane · 0 vs 2 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Claude Fable 5.1
Not ranked
Inkling
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Claude Fable 5.1
Not ranked
Inkling
87.6
#36/148
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Math

Not comparable
Claude Fable 5.1
96.8
Unranked · 2 rankable rows
Inkling
58.3
#11/12
Basis
Provisional lane · 2 vs 3 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Claude Fable 5.1
$0.035
Fits in one request
Inkling
$0.00421
Fits in one request

Inkling has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Claude Fable 5.1
$0.65
Fits in one request
Inkling
$0.10754
Fits in one request

Inkling has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Claude Fable 5.1
$0.75
Fits in one request
Inkling
$0.159
Fits in one request

Inkling has the lower modeled cost

Costs use the listed standard API rates.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Claude Fable 5.1

$0.25 per 1M cached input tokens

Anthropic Fable 5.1 launch

Inkling

$0.374 per 1M cached input tokens

Documented inputs

Claude Fable 5.1

Not sourced

Inkling

Not sourced

Documented outputs

Claude Fable 5.1

Not sourced

Inkling

Not sourced

Reasoning profile

Claude Fable 5.1

Reasoning

Inkling

Hybrid

Weight access

Claude Fable 5.1

Proprietary

Inkling

Open Weight

License

Claude Fable 5.1

Proprietary

Inkling

Open Weight

Release date

Claude Fable 5.1

2026-09-01

Inkling

2026-07-15

If you already use one of these models

Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
Claude Fable 5.1 has the higher public score, 83.18 versus 52.6, and the 90% score intervals do not overlap.
Workload cost
Repository review: $0.65 vs $0.10754. Cache-heavy agent loop: $0.75 vs $0.159.
Context tradeoff
Both models list 1M.
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Claude Fable 5.1 or Inkling?

Claude Fable 5.1 has the higher public score, 83.18 versus 52.6, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.

Which is better for coding, Claude Fable 5.1 or Inkling?

Claude Fable 5.1 has the higher public coding point estimate, 76.8 to 33.9, with Supported evidence for both models. The conditional ranges do not establish rank confidence.

Which is better for agentic tasks, Claude Fable 5.1 or Inkling?

Claude Fable 5.1 has the higher public agentic tasks point estimate, 80.9 to 37.2, with Supported evidence for both models. The conditional ranges do not establish rank confidence.

Which costs less, Claude Fable 5.1 or Inkling?

For the stated presets, chat costs $0.035 on Claude Fable 5.1 and $0.00421 on Inkling; repository review costs $0.65 and $0.10754; the cache-heavy agent loop costs $0.75 and $0.159. Costs use the listed standard API rates.

Which has the larger context window, Claude Fable 5.1 or Inkling?

Both models list the same context window, 1M.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Claude Fable 5.1
API / mo$45,000
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Inkling
API / mo$4,913
Self-host / mo$27,962
Break-even344M/day
Model the full break-even

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence46 rows

Agentic

  • Terminal-Bench 4.0

    Claude Fable 5.155.80%
    Source
    Inkling—

    Not directly comparable

  • Terminal-Bench-Science 0.1

    Claude Fable 5.152.6%
    Source
    Inkling—

    Not directly comparable

  • OSWorld 2.0

    Claude Fable 5.141.7%
    Source
    Inkling—

    Not directly comparable

  • AutomationBench

    Claude Fable 5.131.4%
    Source
    Inkling—

    Not directly comparable

  • Toolathlon-Verified

    Claude Fable 5.177.8%
    Source
    Inkling—

    Not directly comparable

  • Toolathlon Verified Pass@3

    Claude Fable 5.181.5%
    Source
    Inkling—

    Not directly comparable

  • Toolathlon Verified Pass³

    Claude Fable 5.173.1%
    Source
    Inkling—

    Not directly comparable

  • Toolathlon Verified avg. turns

    Claude Fable 5.123.7 turns
    Source
    Inkling—

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Claude Fable 5.185.0%
    Source
    Inkling47.6%
    Source

    Claude Fable 5.1 leads this result

  • ApprenticeBench

    Claude Fable 5.172%
    Source
    Inkling—

    Not directly comparable

  • CWE-bench v1

    Shared source
    Claude Fable 5.158.0%
    Inkling37.0%

    Claude Fable 5.1 leads this result

  • MazeBench

    Claude Fable 5.110%
    Source
    Inkling—

    Not directly comparable

  • Terminal-Bench 2.1

    Claude Fable 5.1—
    Inkling63.8%
    Source

    Not directly comparable

  • BrowseComp

    Claude Fable 5.1—
    Inkling77.1%
    Source

    Not directly comparable

  • MCP Atlas

    Claude Fable 5.1—
    Inkling74.1%
    Source

    Not directly comparable

Coding

  • Bug Hunt Bench

    Claude Fable 5.143.0 fixes
    Source
    Inkling—

    Not directly comparable

  • SWE-bench Pro

    Claude Fable 5.181.2%
    Source
    Inkling54.3%
    Source

    Claude Fable 5.1 leads this result

  • SWE Multilingual

    Claude Fable 5.189.1%
    Source
    Inkling—

    Not directly comparable

  • SWE Multimodal

    Claude Fable 5.154.7%
    Source
    Inkling—

    Not directly comparable

  • DeepSWE

    Claude Fable 5.167.4%
    Source
    Inkling—

    Not directly comparable

  • FrontierSWE v2

    Shared source
    Claude Fable 5.156.3%
    Inkling4.1%

    Claude Fable 5.1 leads this result

  • ProgramBench

    Claude Fable 5.187.6%
    Source
    Inkling—

    Not directly comparable

  • CursorBench 3.2

    Claude Fable 5.173.4%
    Source
    Inkling—

    Not directly comparable

  • LiveCodeBench (Vals)

    Claude Fable 5.190.5%
    Source
    Inkling85.5%
    Source

    Claude Fable 5.1 leads this result

  • CursorBench 4.0

    Claude Fable 5.151.8%
    Source
    Inkling—

    Not directly comparable

  • PostTrainBench v1.1

    Claude Fable 5.140.2%
    Source
    Inkling—

    Not directly comparable

  • SWE-bench Verified

    Claude Fable 5.1—
    Inkling77.6%
    Source

    Not directly comparable

  • Terminal-Bench 2.1

    Claude Fable 5.1—
    Inkling63.8%
    Source

    Not directly comparable

  • SWE-bench (Vals)

    Claude Fable 5.1—
    Inkling77.6%
    Source

    Not directly comparable

Reasoning

  • ARC-AGI-1

    Claude Fable 5.197.50%
    Source
    Inkling—

    Not directly comparable

  • ARC-AGI-2

    Claude Fable 5.190%
    Source
    Inkling—

    Not directly comparable

  • GraphWalks BFS 256K–1M

    Claude Fable 5.165.0%
    Source
    Inkling—

    Not directly comparable

Multimodal

  • MMMU-Pro

    Claude Fable 5.1—
    Inkling73.5%
    Source

    Not directly comparable

  • CharXiv

    Claude Fable 5.1—
    Inkling82%
    Source

    Not directly comparable

  • CharXiv w/o tools

    Claude Fable 5.1—
    Inkling78.1%
    Source

    Not directly comparable

Knowledge

  • HLE

    Claude Fable 5.165%
    Source
    Inkling46%
    Source

    Claude Fable 5.1 leads this result

  • HLE w/o tools

    Claude Fable 5.160.9%
    Source
    Inkling30%
    Source

    Claude Fable 5.1 leads this result

  • GPQA Diamond (Vals)

    Claude Fable 5.193.4%
    Source
    Inkling87.1%
    Source

    Claude Fable 5.1 leads this result

  • MMLU-Pro (Vals)

    Claude Fable 5.192.4%
    Source
    Inkling86.3%
    Source

    Claude Fable 5.1 leads this result

  • GPQA

    Claude Fable 5.1—
    Inkling87.9%
    Source

    Not directly comparable

  • GPQA-D

    Claude Fable 5.1—
    Inkling87.9%
    Source

    Not directly comparable

Instruction following

  • Gray Swan IPI (15 attempts)

    Claude Fable 5.11.0%
    Source
    Inkling—

    Not directly comparable

  • IFBench

    Claude Fable 5.1—
    Inkling79.8%
    Source

    Not directly comparable

Math

  • FrontierMath v2 (Tiers 1-3)

    Shared source
    Claude Fable 5.190.175%
    Inkling33.333%

    Claude Fable 5.1 leads this result

  • FrontierMath v2 (Tier 4)

    Shared source
    Claude Fable 5.187.805%
    Inkling4.878%

    Claude Fable 5.1 leads this result

  • AIME26

    Claude Fable 5.1—
    Inkling97.1%
    Source

    Not directly comparable

46 public results · 11 shared

Watch Claude Fable 5.1 vs Inkling

One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.

Read a sample issue

Join 5,600+ readers.

Last updated October 17, 2026