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Model A
Claude 4 Sonnet

Anthropic

42.37/100

Supported · Public rank #188

90% interval 39.2–45.5

Claude 4 Sonnet vs Inkling

Updated August 29, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Thinking Machines Lab logo
Model B
Inkling

Thinking Machines Lab

67.02/100

Supported · Public rank #31

90% interval 60.0–74.0

Decision reading

Inkling has the higher public score, 67.02 versus 42.37, and the 90% score intervals do not overlap.

1 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

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.

  • Long documents

    Prompts that approach the documented context limit

    Inkling

    Inkling has the larger documented context window.

    Confidence: documented

  • 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
  • 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

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • 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 4 Sonnet does not fit this workload in one request. Claude 4 Sonnet 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
1
Claude 4 Sonnet only
2
Inkling only
14
Like-for-like categories
0 / 8

1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Coding

Directional only
Claude 4 Sonnet
72.7
Inkling
68.6
Weighted basis
1 vs 2 rows
Reading
Directional only

Agentic

Not comparable
Claude 4 Sonnet
Not measured
Inkling
69.4
Weighted basis
0 vs 2 rows
Reading
Not comparable

Reasoning

Not comparable
Claude 4 Sonnet
Not measured
Inkling
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Claude 4 Sonnet
Not measured
Inkling
51.6
Weighted basis
0 vs 2 rows
Reading
Not comparable

Math

Not comparable
Claude 4 Sonnet
Not measured
Inkling
97.1
Weighted basis
0 vs 1 rows
Reading
Not comparable

Multilingual

Not comparable
Claude 4 Sonnet
Not measured
Inkling
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Claude 4 Sonnet
Not measured
Inkling
76.5
Weighted basis
0 vs 2 rows
Reading
Not comparable

Instruction following

Not comparable
Claude 4 Sonnet
Not measured
Inkling
79.8
Weighted basis
0 vs 1 rows
Reading
Not comparable

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 4 Sonnet
$0.0105
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 4 Sonnet
$0.195
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 4 Sonnet
$0.81
Does not fit in one request
Cached input priced at the published list-input rate
Inkling
$0.159
Fits in one request

Claude 4 Sonnet does not fit this workload in one request. Claude 4 Sonnet 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 4 Sonnet

200K

Inkling

1M

API model ID

Claude 4 Sonnet

Not sourced

Inkling

Not sourced

Cached-input rate

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

Claude 4 Sonnet

Not published

Inkling

$0.374 per 1M cached input tokens

Documented inputs

Claude 4 Sonnet

Not sourced

Inkling

Not sourced

Documented outputs

Claude 4 Sonnet

Not sourced

Inkling

Not sourced

Provider availability

Claude 4 Sonnet

Not sourced

Inkling

Not sourced

Reasoning profile

Claude 4 Sonnet

Non-Reasoning

Inkling

Hybrid

Weight access

Claude 4 Sonnet

Proprietary

Inkling

Open Weight

License

Claude 4 Sonnet

Proprietary

Inkling

Open Weight

Release date

Claude 4 Sonnet

2025-05-01

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
Inkling has the higher public score, 67.02 versus 42.37, and the 90% score intervals do not overlap.
Workload cost
Repository review: $0.195 vs $0.10754. Cache-heavy agent loop: $0.81 vs $0.159.
Context tradeoff
Inkling 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 evidence17 rows

Agentic

  • Gert Labs

    Claude 4 Sonnet39.66%
    Source
    Inkling

    Not directly comparable

  • JobBench

    Claude 4 Sonnet18.4%
    Source
    Inkling

    Not directly comparable

  • Terminal-Bench 2.0

    Claude 4 Sonnet
    Inkling63.8%
    Source

    Not directly comparable

  • BrowseComp

    Claude 4 Sonnet
    Inkling77.1%
    Source

    Not directly comparable

  • MCP Atlas

    Claude 4 Sonnet
    Inkling74.1%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Claude 4 Sonnet72.7%
    Source
    Inkling77.6%
    Source

    Inkling leads this result

  • SWE-bench Pro

    Claude 4 Sonnet
    Inkling54.3%
    Source

    Not directly comparable

  • Terminal-Bench 2.0

    Claude 4 Sonnet
    Inkling63.8%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Claude 4 Sonnet
    Inkling87.9%
    Source

    Not directly comparable

  • GPQA-D

    Claude 4 Sonnet
    Inkling87.9%
    Source

    Not directly comparable

  • HLE

    Claude 4 Sonnet
    Inkling46%
    Source

    Not directly comparable

  • HLE w/o tools

    Claude 4 Sonnet
    Inkling30%
    Source

    Not directly comparable

Math

  • AIME26

    Claude 4 Sonnet
    Inkling97.1%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    Claude 4 Sonnet
    Inkling73.5%
    Source

    Not directly comparable

  • CharXiv

    Claude 4 Sonnet
    Inkling82%
    Source

    Not directly comparable

  • CharXiv w/o tools

    Claude 4 Sonnet
    Inkling78.1%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Claude 4 Sonnet
    Inkling79.8%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Claude 4 Sonnet or Inkling?

Inkling has the higher public score, 67.02 versus 42.37, 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 4 Sonnet or Inkling?

The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Claude 4 Sonnet or Inkling?

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

Which costs less, Claude 4 Sonnet or Inkling?

For the stated presets, chat costs $0.0105 on Claude 4 Sonnet and $0.00421 on Inkling; repository review costs $0.195 and $0.10754; the cache-heavy agent loop costs $0.81 and $0.159. Claude 4 Sonnet does not fit this workload in one request. Claude 4 Sonnet has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Claude 4 Sonnet or Inkling?

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

Related comparisons

Last updated August 29, 2026

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