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Model comparison

Inkling-Small vs Qwen3.6 Plus

Updated July 30, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Inkling-Small

Thinking Machines Lab

—

Evidence status unavailable

90% interval unavailable

Qwen3.6 Plus

Alibaba

64.4/100

Supported · Public rank #34

90% interval 55.6–73.2

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

11 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.

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

    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

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

    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
11
Inkling-Small only
9
Qwen3.6 Plus only
32
Like-for-like categories
1 / 8

5 categories use 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.

Multimodal

Like-for-like
Inkling-Small
76.6
Qwen3.6 Plus
79.8
Weighted basis
2 vs 2 rows
Reading
Qwen3.6 Plus leads

Agentic

Directional only
Inkling-Small
70.1
Qwen3.6 Plus
61.6
Weighted basis
2 vs 1 rows
Reading
Directional only

Coding

Directional only
Inkling-Small
62.4
Qwen3.6 Plus
70.3
Weighted basis
3 vs 2 rows
Reading
Directional only

Knowledge

Directional only
Inkling-Small
53.4
Qwen3.6 Plus
57.1
Weighted basis
2 vs 4 rows
Reading
Directional only

Math

Directional only
Inkling-Small
92.9
Qwen3.6 Plus
60.5
Weighted basis
2 vs 4 rows
Reading
Directional only

Instruction following

Directional only
Inkling-Small
82.2
Qwen3.6 Plus
82.3
Weighted basis
1 vs 2 rows
Reading
Directional only

Reasoning

Not comparable
Inkling-Small
40.1
Qwen3.6 Plus
62.0
Weighted basis
1 vs 1 rows
Reading
Not comparable

Multilingual

Not comparable
Inkling-Small
Not measured
Qwen3.6 Plus
84.7
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

Inkling-Small
$0.0013
Fits in one request
Qwen3.6 Plus
API rate not published
Fits in one request

Qwen3.6 Plus has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Inkling-Small
$0.03332
Fits in one request
Qwen3.6 Plus
API rate not published
Fits in one request

Qwen3.6 Plus 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
Qwen3.6 Plus
API rate not published
Fits in one request
Cached-input rate unavailable

Qwen3.6 Plus 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.

Context window

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

Inkling-Small

1M

Qwen3.6 Plus

1M

API model ID

Inkling-Small

Not sourced

Qwen3.6 Plus

Not sourced

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

Qwen3.6 Plus

No comparable hosted API rate

Documented inputs

Inkling-Small

Not sourced

Qwen3.6 Plus

Not sourced

Documented outputs

Inkling-Small

Not sourced

Qwen3.6 Plus

Not sourced

Provider availability

Inkling-Small

Not sourced

Qwen3.6 Plus

Not sourced

Reasoning profile

Inkling-Small

Hybrid

Qwen3.6 Plus

Reasoning

Weight access

Inkling-Small

Open Weight

Qwen3.6 Plus

Proprietary

License

Inkling-Small

Open Weight

Qwen3.6 Plus

Proprietary

Release date

Inkling-Small

2026-07-30

Qwen3.6 Plus

2026-04-02

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 evidence52 rows

Agentic

  • Terminal-Bench 2.0

    Inkling-Small64.7%
    Source
    Qwen3.6 Plus61.6%
    Source

    Inkling-Small leads this result

  • BrowseComp

    Inkling-Small77.4%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • MCP Atlas

    Inkling-Small79.6%
    Source
    Qwen3.6 Plus48.2%
    Source

    Inkling-Small leads this result

  • Toolathlon-Verified

    Inkling-Small54.4%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • Claw-Eval

    Inkling-Small—
    Qwen3.6 Plus58.8%
    Source

    Not directly comparable

  • QwenClawBench

    Inkling-Small—
    Qwen3.6 Plus57.2%
    Source

    Not directly comparable

  • τ³-bench results

    Inkling-Small—
    Qwen3.6 Plus70.7%
    Source

    Not directly comparable

  • VITA-Bench

    Inkling-Small—
    Qwen3.6 Plus44.3%
    Source

    Not directly comparable

  • DeepPlanning

    Inkling-Small—
    Qwen3.6 Plus41.5%
    Source

    Not directly comparable

  • Toolathlon

    Inkling-Small—
    Qwen3.6 Plus39.8%
    Source

    Not directly comparable

  • MCP-Tasks

    Inkling-Small—
    Qwen3.6 Plus74.1%
    Source

    Not directly comparable

  • WideResearch

    Inkling-Small—
    Qwen3.6 Plus74.3%
    Source

    Not directly comparable

  • Gert Labs

    Inkling-Small—
    Qwen3.6 Plus50.60%
    Source

    Not directly comparable

  • ResearchClawBench

    Inkling-Small—
    Qwen3.6 Plus18.0%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Inkling-Small80.2%
    Source
    Qwen3.6 Plus78.8%
    Source

    Inkling-Small leads this result

  • SWE-bench Pro

    Inkling-Small55.9%
    Source
    Qwen3.6 Plus56.6%
    Source

    Qwen3.6 Plus leads this result

  • Terminal-Bench 2.0

    Inkling-Small64.7%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • SciCode

    Inkling-Small48.7%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • SWE Multilingual

    Inkling-Small—
    Qwen3.6 Plus73.8%
    Source

    Not directly comparable

  • LiveCodeBench v6

    Inkling-Small—
    Qwen3.6 Plus87.1%
    Source

    Not directly comparable

  • Vibe Code Bench

    Inkling-Small—
    Qwen3.6 Plus25.56%
    Source

    Not directly comparable

Reasoning

  • ARC-AGI-2

    Inkling-Small40.1%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • CritPt

    Inkling-Small8.3%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • AI-Needle

    Inkling-Small—
    Qwen3.6 Plus68.3%
    Source

    Not directly comparable

  • LongBench v2

    Inkling-Small—
    Qwen3.6 Plus62%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Inkling-Small89.5%
    Source
    Qwen3.6 Plus90.4%
    Source

    Qwen3.6 Plus leads this result

  • GPQA-D

    Inkling-Small89.5%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • HLE

    Inkling-Small47.8%
    Source
    Qwen3.6 Plus28.8%
    Source

    Inkling-Small leads this result

  • HLE w/o tools

    Inkling-Small31.6%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • SuperGPQA

    Inkling-Small—
    Qwen3.6 Plus71.6%
    Source

    Not directly comparable

  • MMLU-Pro

    Inkling-Small—
    Qwen3.6 Plus88.5%
    Source

    Not directly comparable

  • MMLU-Redux

    Inkling-Small—
    Qwen3.6 Plus94.5%
    Source

    Not directly comparable

  • C-Eval

    Inkling-Small—
    Qwen3.6 Plus93.3%
    Source

    Not directly comparable

Math

  • AIME26

    Inkling-Small95.5%
    Source
    Qwen3.6 Plus95.3%
    Source

    Inkling-Small leads this result

  • HMMT Feb 2026

    Inkling-Small90.2%
    Source
    Qwen3.6 Plus87.8%
    Source

    Inkling-Small leads this result

  • HMMT Feb 2025

    Inkling-Small—
    Qwen3.6 Plus96.7%
    Source

    Not directly comparable

  • HMMT Nov 2025

    Inkling-Small—
    Qwen3.6 Plus94.6%
    Source

    Not directly comparable

  • MMAnswerBench

    Inkling-Small—
    Qwen3.6 Plus83.8%
    Source

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Inkling-Small—
    Qwen3.6 Plus26.207%
    Source

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Inkling-Small—
    Qwen3.6 Plus8.333%
    Source

    Not directly comparable

Multilingual

  • MMLU-ProX

    Inkling-Small—
    Qwen3.6 Plus84.7%
    Source

    Not directly comparable

  • NOVA-63

    Inkling-Small—
    Qwen3.6 Plus57.9%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    Inkling-Small74%
    Source
    Qwen3.6 Plus78.8%
    Source

    Qwen3.6 Plus leads this result

  • CharXiv

    Inkling-Small81.3%
    Source
    Qwen3.6 Plus81.5%
    Source

    Qwen3.6 Plus leads this result

  • CharXiv w/o tools

    Inkling-Small77.4%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • MMMU

    Inkling-Small—
    Qwen3.6 Plus86.0%
    Source

    Not directly comparable

  • MathVision

    Inkling-Small—
    Qwen3.6 Plus88.0%
    Source

    Not directly comparable

  • VideoMMMU

    Inkling-Small—
    Qwen3.6 Plus84.0%
    Source

    Not directly comparable

  • ScreenSpot Pro

    Inkling-Small—
    Qwen3.6 Plus68.2%
    Source

    Not directly comparable

  • V*

    Inkling-Small—
    Qwen3.6 Plus96.9%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Inkling-Small82.2%
    Source
    Qwen3.6 Plus75.8%
    Source

    Inkling-Small leads this result

  • IFEval

    Inkling-Small—
    Qwen3.6 Plus94.3%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Inkling-Small or Qwen3.6 Plus?

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 Qwen3.6 Plus?

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, Inkling-Small or Qwen3.6 Plus?

The current agentic tasks 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 costs less, Inkling-Small or Qwen3.6 Plus?

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 Qwen3.6 Plus?

Both models list the same context window, 1M.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated July 30, 2026

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