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Model A
Inkling-Small

Thinking Machines Lab

59.25/100

Supported · Public rank #69

90% interval 52.466.1

Inkling-Small vs LongCat-Flash-Lite-Sparse

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

Meituan logo
Model B
LongCat-Flash-Lite-Sparse

Meituan

Evidence status unavailable

90% interval unavailable

Decision reading

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.

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

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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.

No workload recommendation clears the current evidence threshold.

Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.

Show secondary and unsupported calls
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    LongCat-Flash-Lite-Sparse is not ranked on the public lane for coding, so no winner is named for coding.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    LongCat-Flash-Lite-Sparse is not ranked on the public lane for agentic, so no winner is named for agentic.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    No clear pick

    The documented context windows are equal.

    Confidence: documented

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

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

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

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
9
Inkling-Small only
16
LongCat-Flash-Lite-Sparse only
8
Like-for-like categories
0 / 8

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

Not comparable
Inkling-Small
36.9
Supported · #128/152
LongCat-Flash-Lite-Sparse
Not ranked
Basis
BenchAlign lane · 5 vs 4 public rows
Reading
Not comparable

Coding

Not comparable
Inkling-Small
43.8
Supported · #97/151
LongCat-Flash-Lite-Sparse
Not ranked
Basis
BenchAlign lane · 6 vs 4 public rows
Reading
Not comparable

Reasoning

Not comparable
Inkling-Small
42.7
Unranked · 3 rankable rows
LongCat-Flash-Lite-Sparse
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Inkling-Small
56.5
Supported · #46/183
LongCat-Flash-Lite-Sparse
Not ranked
Basis
BenchAlign lane · 6 vs 5 public rows
Reading
Not comparable

Math

Not comparable
Inkling-Small
76.9
Unranked · 2 rankable rows
LongCat-Flash-Lite-Sparse
Not ranked
Basis
Provisional lane · 2 vs 2 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Inkling-Small
Not ranked
LongCat-Flash-Lite-Sparse
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Inkling-Small
48.8
#39/48
LongCat-Flash-Lite-Sparse
Not ranked
Basis
Provisional lane · 2 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Inkling-Small
89.6
#25/123
LongCat-Flash-Lite-Sparse
Not ranked
Basis
Provisional lane · 1 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

Inkling-Small
$0.0013
Fits in one request
LongCat-Flash-Lite-Sparse
Self-hosted; infrastructure cost varies
Fits in one request

LongCat-Flash-Lite-Sparse has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Inkling-Small
$0.03332
Fits in one request
LongCat-Flash-Lite-Sparse
Self-hosted; infrastructure cost varies
Fits in one request

LongCat-Flash-Lite-Sparse has no comparable published API token rate.

Cache-heavy agent loop

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

Inkling-Small
$0.0492
Fits in one request
LongCat-Flash-Lite-Sparse
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

LongCat-Flash-Lite-Sparse has no comparable published API token rate.

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.

Inkling-Small

$0.116 per 1M cached input tokens

LongCat-Flash-Lite-Sparse

Documented inputs

Inkling-Small

Not sourced

LongCat-Flash-Lite-Sparse

Not sourced

Documented outputs

Inkling-Small

Not sourced

LongCat-Flash-Lite-Sparse

Not sourced

Provider availability

Inkling-Small

Not sourced

LongCat-Flash-Lite-Sparse

Not sourced

Reasoning profile

Inkling-Small

Hybrid

LongCat-Flash-Lite-Sparse

Reasoning

Weight access

Inkling-Small

Open Weight

LongCat-Flash-Lite-Sparse

Open Weight

License

Inkling-Small

Open Weight

LongCat-Flash-Lite-Sparse

Open Weight

Release date

Inkling-Small

2026-07-30

LongCat-Flash-Lite-Sparse

2026-07-31

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
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Both models list 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 evidence33 rows

Agentic

  • Terminal-Bench 2.0

    Inkling-Small64.7%
    Source
    LongCat-Flash-Lite-Sparse33.7%
    Source

    Inkling-Small leads this result

  • BrowseComp

    Inkling-Small77.4%
    Source
    LongCat-Flash-Lite-Sparse48.6%
    Source

    Inkling-Small leads this result

  • MCP Atlas

    Inkling-Small79.6%
    Source
    LongCat-Flash-Lite-Sparse45.6%
    Source

    Inkling-Small leads this result

  • Toolathlon-Verified

    Inkling-Small54.4%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Inkling-Small55.1%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

  • VITA-Bench

    Inkling-Small
    LongCat-Flash-Lite-Sparse21.7%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Inkling-Small80.2%
    Source
    LongCat-Flash-Lite-Sparse68.2%
    Source

    Inkling-Small leads this result

  • SWE-bench Pro

    Inkling-Small55.9%
    Source
    LongCat-Flash-Lite-Sparse40.6%
    Source

    Inkling-Small leads this result

  • Terminal-Bench 2.0

    Inkling-Small64.7%
    Source
    LongCat-Flash-Lite-Sparse33.7%
    Source

    Inkling-Small leads this result

  • SciCode

    Inkling-Small48.7%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

  • LiveCodeBench (Vals)

    Inkling-Small85.9%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

  • SWE-bench (Vals)

    Inkling-Small82.2%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

  • SWE Multilingual

    Inkling-Small
    LongCat-Flash-Lite-Sparse59.3%
    Source

    Not directly comparable

Reasoning

  • ARC-AGI-2

    Inkling-Small40.1%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

  • CritPt

    Inkling-Small8.3%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

Knowledge

  • GPQA

    Inkling-Small89.5%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

  • GPQA-D

    Inkling-Small89.5%
    Source
    LongCat-Flash-Lite-Sparse69.5%
    Source

    Inkling-Small leads this result

  • HLE

    Inkling-Small47.8%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

  • HLE w/o tools

    Inkling-Small31.6%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

  • GPQA Diamond (Vals)

    Inkling-Small83.6%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

  • MMLU-Pro (Vals)

    Inkling-Small85.6%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

  • MMLU

    Inkling-Small
    LongCat-Flash-Lite-Sparse85.3%
    Source

    Not directly comparable

  • MMLU-Pro

    Inkling-Small
    LongCat-Flash-Lite-Sparse79.2%
    Source

    Not directly comparable

  • CMMLU

    Inkling-Small
    LongCat-Flash-Lite-Sparse84.3%
    Source

    Not directly comparable

  • C-Eval

    Inkling-Small
    LongCat-Flash-Lite-Sparse85.8%
    Source

    Not directly comparable

Math

  • AIME26

    Inkling-Small95.5%
    Source
    LongCat-Flash-Lite-Sparse65.7%
    Source

    Inkling-Small leads this result

  • HMMT Feb 2026

    Inkling-Small90.2%
    Source
    LongCat-Flash-Lite-Sparse40.5%
    Source

    Inkling-Small leads this result

  • MATH-500

    Inkling-Small
    LongCat-Flash-Lite-Sparse95.8%
    Source

    Not directly comparable

  • IMOAnswerBench

    Inkling-Small
    LongCat-Flash-Lite-Sparse49.4%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    Inkling-Small74%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

  • CharXiv

    Inkling-Small81.3%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

  • CharXiv w/o tools

    Inkling-Small77.4%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

Instruction following

  • IFBench

    Inkling-Small82.2%
    Source
    LongCat-Flash-Lite-Sparse

    Not directly comparable

Frequently asked questions

Which is better, Inkling-Small or LongCat-Flash-Lite-Sparse?

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Inkling-Small or LongCat-Flash-Lite-Sparse?

LongCat-Flash-Lite-Sparse is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Inkling-Small or LongCat-Flash-Lite-Sparse?

LongCat-Flash-Lite-Sparse is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Inkling-Small or LongCat-Flash-Lite-Sparse?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Inkling-Small or LongCat-Flash-Lite-Sparse?

Both models list the same context window, 1M.

Related comparisons

Last updated September 10, 2026

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