Skip to main content
Radar

Keep up with the models you depend on. Follow price changes, retirements, and API updates.Follow the models you depend on.

Follow model changes
Anthropic logo
Model A
Claude Sonnet 4.6

Anthropic

62.96/100

Supported · Public rank #48

90% interval 51.374.6

Claude Sonnet 4.6 vs Inkling-Small

Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Thinking Machines Lab logo
Model B
Inkling-Small

Thinking Machines Lab

59.25/100

Supported · Public rank #69

90% interval 52.466.1

Decision reading

Claude Sonnet 4.6 has the higher public score estimate, 62.96 versus 59.25, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

10 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Share or export

Share on XLinkedInSocial cardCSVJSON

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 Sonnet 4.6

    Claude Sonnet 4.6 leads on the public coding lane, 52.2 to 43.8, with Supported evidence for both models, although the 90% intervals overlap.

    Confidence: limited

  • Agentic work

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

    Claude Sonnet 4.6

    Claude Sonnet 4.6 leads on the public agentic lane, 44 to 36.9, with Supported evidence for both models, although the 90% intervals overlap.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    Inkling-Small

    Inkling-Small has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls
  • Chat turn cost

    1K fresh input + 500 output tokens

    Inkling-Small

    Inkling-Small 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-Small

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

    Confidence: listed-rates

  • Cache-heavy agent loop cost

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

    Not enough matched evidence

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Claude Sonnet 4.6 does not fit this workload in one request. Claude Sonnet 4.6 has no published cached-input rate, so cached tokens use its listed input rate.

    Confidence: rate-fallback

What is actually comparable

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

Shared results
10
Claude Sonnet 4.6 only
16
Inkling-Small only
15
Like-for-like categories
3 / 8

2 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign 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 Sonnet 4.6
44.0
Supported · #93/152
Inkling-Small
36.9
Supported · #128/152
Basis
BenchAlign lane · 9 vs 5 public rows
Reading
Claude Sonnet 4.6 leads · intervals overlap

Coding

Like-for-like
Claude Sonnet 4.6
52.2
Supported · #48/151
Inkling-Small
43.8
Supported · #97/151
Basis
BenchAlign lane · 8 vs 6 public rows
Reading
Claude Sonnet 4.6 leads · intervals overlap

Knowledge

Like-for-like
Claude Sonnet 4.6
55.8
Supported · #51/183
Inkling-Small
56.5
Supported · #46/183
Basis
BenchAlign lane · 6 vs 6 public rows
Reading
Inkling-Small leads · intervals overlap

Multimodal

Directional only
Claude Sonnet 4.6
54.1
#33/48
Inkling-Small
48.8
#39/48
Basis
Provisional lane · 1 vs 2 weighted rows
Reading
Directional only

Instruction following

Directional only
Claude Sonnet 4.6
48.2
#86/123
Inkling-Small
89.6
#25/123
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Directional only

Reasoning

Not comparable
Claude Sonnet 4.6
67.9
Unranked · 2 rankable rows
Inkling-Small
42.7
Unranked · 3 rankable rows
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Math

Not comparable
Claude Sonnet 4.6
49.0
Unranked · 2 rankable rows
Inkling-Small
76.9
Unranked · 2 rankable rows
Basis
Provisional lane · 2 vs 2 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Claude Sonnet 4.6
Not ranked
Inkling-Small
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

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

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.

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 Sonnet 4.6
$0.0105
Fits in one request
Inkling-Small
$0.0013
Fits in one request

Inkling-Small has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Claude Sonnet 4.6
$0.195
Fits in one request
Inkling-Small
$0.03332
Fits in one request

Inkling-Small 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 Sonnet 4.6
$0.81
Does not fit in one request
Cached input priced at the published list-input rate
Inkling-Small
$0.0492
Fits in one request

Claude Sonnet 4.6 does not fit this workload in one request. Claude Sonnet 4.6 has no published cached-input rate, so cached tokens use its listed input rate.

Specification differences

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

Context window

Maximum documented context; output-token limits may be lower.

Claude Sonnet 4.6

200K

Inkling-Small

1M

API model ID

Claude Sonnet 4.6

Not sourced

Inkling-Small

Not sourced

Cached-input rate

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

Claude Sonnet 4.6

Not published

Inkling-Small

$0.116 per 1M cached input tokens

Documented inputs

Claude Sonnet 4.6

Not sourced

Inkling-Small

Not sourced

Documented outputs

Claude Sonnet 4.6

Not sourced

Inkling-Small

Not sourced

Provider availability

Claude Sonnet 4.6

Not sourced

Inkling-Small

Not sourced

Reasoning profile

Claude Sonnet 4.6

Non-Reasoning

Inkling-Small

Hybrid

Weight access

Claude Sonnet 4.6

Proprietary

Inkling-Small

Open Weight

License

Claude Sonnet 4.6

Proprietary

Inkling-Small

Open Weight

Release date

Claude Sonnet 4.6

2026-02-01

Inkling-Small

2026-07-30

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 Sonnet 4.6 has the higher public score estimate, 62.96 versus 59.25, but the 90% score intervals overlap.
Workload cost
Repository review: $0.195 vs $0.03332. Cache-heavy agent loop: $0.81 vs $0.0492.
Context tradeoff
Inkling-Small has the larger documented window (1M).

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

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

Browse raw public benchmark evidence41 rows

Agentic

  • Terminal-Bench 2.0

    Claude Sonnet 4.659.1%
    Source
    Inkling-Small64.7%
    Source

    Inkling-Small leads this result

  • OSWorld-Verified

    Claude Sonnet 4.672.1%
    Source
    Inkling-Small

    Not directly comparable

  • Claw-Eval

    Claude Sonnet 4.667.8%
    Source
    Inkling-Small

    Not directly comparable

  • CyberGym

    Claude Sonnet 4.665.2%
    Source
    Inkling-Small

    Not directly comparable

  • Gert Labs

    Claude Sonnet 4.662.92%
    Source
    Inkling-Small

    Not directly comparable

  • OSWorld 2.0

    Claude Sonnet 4.68.3%
    Source
    Inkling-Small

    Not directly comparable

  • JobBench

    Claude Sonnet 4.636.9%
    Source
    Inkling-Small

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Claude Sonnet 4.657.3%
    Source
    Inkling-Small55.1%
    Source

    Claude Sonnet 4.6 leads this result

  • ApprenticeBench

    Claude Sonnet 4.62%
    Source
    Inkling-Small

    Not directly comparable

  • BrowseComp

    Claude Sonnet 4.6
    Inkling-Small77.4%
    Source

    Not directly comparable

  • MCP Atlas

    Claude Sonnet 4.6
    Inkling-Small79.6%
    Source

    Not directly comparable

  • Toolathlon-Verified

    Claude Sonnet 4.6
    Inkling-Small54.4%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Claude Sonnet 4.679.6%
    Source
    Inkling-Small80.2%
    Source

    Inkling-Small leads this result

  • SWE-Rebench

    Claude Sonnet 4.660.7%
    Source
    Inkling-Small

    Not directly comparable

  • React Native Evals

    Claude Sonnet 4.680.6%
    Source
    Inkling-Small

    Not directly comparable

  • Vibe Code Bench

    Claude Sonnet 4.651.48%
    Source
    Inkling-Small

    Not directly comparable

  • cursorBench31

    Claude Sonnet 4.648.8%
    Source
    Inkling-Small

    Not directly comparable

  • FrontierCode 1.1 Main

    Claude Sonnet 4.624.3%
    Source
    Inkling-Small

    Not directly comparable

  • LiveCodeBench (Vals)

    Claude Sonnet 4.682.1%
    Source
    Inkling-Small85.9%
    Source

    Inkling-Small leads this result

  • SWE-bench (Vals)

    Claude Sonnet 4.677.4%
    Source
    Inkling-Small82.2%
    Source

    Inkling-Small leads this result

  • SWE-bench Pro

    Claude Sonnet 4.6
    Inkling-Small55.9%
    Source

    Not directly comparable

  • Terminal-Bench 2.0

    Claude Sonnet 4.6
    Inkling-Small64.7%
    Source

    Not directly comparable

  • SciCode

    Claude Sonnet 4.6
    Inkling-Small48.7%
    Source

    Not directly comparable

Reasoning

  • ARC-AGI-2

    Claude Sonnet 4.6
    Inkling-Small40.1%
    Source

    Not directly comparable

  • CritPt

    Claude Sonnet 4.6
    Inkling-Small8.3%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Claude Sonnet 4.689.9%
    Source
    Inkling-Small89.5%
    Source

    Claude Sonnet 4.6 leads this result

  • SuperGPQA

    Claude Sonnet 4.695%
    Source
    Inkling-Small

    Not directly comparable

  • MMLU-Pro

    Claude Sonnet 4.679.2%
    Source
    Inkling-Small

    Not directly comparable

  • HLE

    Claude Sonnet 4.649%
    Source
    Inkling-Small47.8%
    Source

    Claude Sonnet 4.6 leads this result

  • GPQA Diamond (Vals)

    Claude Sonnet 4.685.6%
    Source
    Inkling-Small83.6%
    Source

    Claude Sonnet 4.6 leads this result

  • MMLU-Pro (Vals)

    Claude Sonnet 4.687.3%
    Source
    Inkling-Small85.6%
    Source

    Claude Sonnet 4.6 leads this result

  • GPQA-D

    Claude Sonnet 4.6
    Inkling-Small89.5%
    Source

    Not directly comparable

  • HLE w/o tools

    Claude Sonnet 4.6
    Inkling-Small31.6%
    Source

    Not directly comparable

Math

  • FrontierMath v2 (Tiers 1-3)

    Claude Sonnet 4.632.400%
    Source
    Inkling-Small

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Claude Sonnet 4.68.300%
    Source
    Inkling-Small

    Not directly comparable

  • AIME26

    Claude Sonnet 4.6
    Inkling-Small95.5%
    Source

    Not directly comparable

  • HMMT Feb 2026

    Claude Sonnet 4.6
    Inkling-Small90.2%
    Source

    Not directly comparable

Multimodal

  • CharXiv

    Claude Sonnet 4.677.4%
    Source
    Inkling-Small81.3%
    Source

    Inkling-Small leads this result

  • MMMU-Pro

    Claude Sonnet 4.6
    Inkling-Small74%
    Source

    Not directly comparable

  • CharXiv w/o tools

    Claude Sonnet 4.6
    Inkling-Small77.4%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Claude Sonnet 4.6
    Inkling-Small82.2%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Claude Sonnet 4.6 or Inkling-Small?

Claude Sonnet 4.6 has the higher public score estimate, 62.96 versus 59.25, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Claude Sonnet 4.6 or Inkling-Small?

Claude Sonnet 4.6 leads the public coding lane, 52.2 to 43.8, with Supported evidence for both models, although the 90% intervals overlap.

Which is better for agentic tasks, Claude Sonnet 4.6 or Inkling-Small?

Claude Sonnet 4.6 leads the public agentic tasks lane, 44 to 36.9, with Supported evidence for both models, although the 90% intervals overlap.

Which costs less, Claude Sonnet 4.6 or Inkling-Small?

For the stated presets, chat costs $0.0105 on Claude Sonnet 4.6 and $0.0013 on Inkling-Small; repository review costs $0.195 and $0.03332; the cache-heavy agent loop costs $0.81 and $0.0492. Claude Sonnet 4.6 does not fit this workload in one request. Claude Sonnet 4.6 has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Claude Sonnet 4.6 or Inkling-Small?

Inkling-Small has the larger documented context window: 1M, compared with 200K.

Related comparisons

Last updated September 10, 2026

Watch Claude Sonnet 4.6 vs Inkling-Small

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

Read a sample issue

Join 2,000+ readers.