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BenchLM

Decision Fast v53a vs dots3-note Preview

Updated October 1, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.

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Decision reading

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead. 0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

FlyMy.AI

—

Evidence status unavailable

90% interval unavailable

Model B

Dots Studio

63.59/100

Estimated · Public rank #42

Conditional range 49.2–77.9

Shared results
0
Decision Fast v53a only
2
dots3-note Preview only
31
Like-for-like categories
0 / 8
Estimated: dots3-note Preview. Conditional ranges do not establish rank confidence.How 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.

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

    Decision Fast v53a and dots3-note Preview are 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

    Decision Fast v53a 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

    Not enough matched evidence

    A complete context comparison is not sourced.

    Confidence: limited
  • 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

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.

—Decision Fast v53a—dots3-note Preview

Not comparable · BenchAlign v5.8

The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.

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.

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.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

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

Not comparable
Decision Fast v53a
Not ranked
dots3-note Preview
56.7
Estimated · #30/119
Basis
BenchAlign v5.8 lane · 0 vs 9 public rows
Reading
Not comparable

Coding

Not comparable
Decision Fast v53a
Not ranked
dots3-note Preview
Not ranked
Basis
BenchAlign v5.8 lane · 0 vs 7 public rows
Reading
Not comparable

Reasoning

Not comparable
Decision Fast v53a
Not ranked
dots3-note Preview
72.9
Unranked · 1 rankable row
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Decision Fast v53a
Not ranked
dots3-note Preview
67.2
Unranked · 10 rankable rows
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Decision Fast v53a
Not ranked
dots3-note Preview
Not ranked
Basis
BenchAlign v5.8 lane · 0 vs 1 public rows
Reading
Not comparable

Multilingual

Not comparable
Decision Fast v53a
Not ranked
dots3-note Preview
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Decision Fast v53a
Not ranked
dots3-note Preview
85.2
#37/124
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Math

Not comparable
Decision Fast v53a
Not ranked
dots3-note Preview
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 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.

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

Decision Fast v53a
API rate not published
Fit state unavailable
dots3-note Preview
Self-hosted; infrastructure cost varies
Fits in one request

Decision Fast v53a has no comparable published API token rate. dots3-note Preview has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Decision Fast v53a
API rate not published
Fit state unavailable
dots3-note Preview
Self-hosted; infrastructure cost varies
Fits in one request

Decision Fast v53a has no comparable published API token rate. dots3-note Preview has no comparable published API token rate.

Cache-heavy agent loop

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

Decision Fast v53a
API rate not published
Fit state unavailable
Cached-input rate unavailable
dots3-note Preview
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

Decision Fast v53a has no comparable published API token rate. dots3-note Preview has no comparable published API token rate.

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.

Context window

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

Decision Fast v53a

Not sourced

dots3-note Preview

API model ID

Decision Fast v53a

Not sourced

dots3-note Preview

Not sourced

Cached-input rate

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

Decision Fast v53a

No comparable hosted API rate

Provider pricing

dots3-note Preview

No comparable hosted API rate

dots3-note Preview model card

Documented inputs

Decision Fast v53a

Not sourced

dots3-note Preview

Not sourced

Documented outputs

Decision Fast v53a

Not sourced

dots3-note Preview

Not sourced

Provider availability

Decision Fast v53a

Not sourced

dots3-note Preview

Not sourced

Reasoning profile

Decision Fast v53a

Non-Reasoning

dots3-note Preview

Reasoning

Weight access

Decision Fast v53a

Open Weight

dots3-note Preview

Open Weight

License

Decision Fast v53a

Open Weight

dots3-note Preview

Open Weight

Release date

Decision Fast v53a

Not sourced

dots3-note Preview

2026-08-14

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
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
A complete documented context comparison is not available.
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Decision Fast v53a or dots3-note Preview?

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Decision Fast v53a or dots3-note Preview?

Decision Fast v53a and dots3-note Preview are not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Decision Fast v53a or dots3-note Preview?

Decision Fast v53a is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Decision Fast v53a or dots3-note Preview?

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, Decision Fast v53a or dots3-note Preview?

A complete documented context-window comparison is not available.

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

  • Claw-Eval

    Decision Fast v53a—
    dots3-note Preview73.4%
    Source

    Not directly comparable

  • Terminal-Bench 2.1

    Decision Fast v53a—
    dots3-note Preview75.1%
    Source

    Not directly comparable

  • Toolathlon-Verified

    Decision Fast v53a—
    dots3-note Preview55.6%
    Source

    Not directly comparable

  • skillsBench

    Decision Fast v53a—
    dots3-note Preview52.8%
    Source

    Not directly comparable

  • APEX-Agents

    Decision Fast v53a—
    dots3-note Preview30.8%
    Source

    Not directly comparable

  • BrowseComp

    Decision Fast v53a—
    dots3-note Preview83.3%
    Source

    Not directly comparable

  • HLE w/ tools

    Decision Fast v53a—
    dots3-note Preview52.6%
    Source

    Not directly comparable

  • DeepSearchQA

    Decision Fast v53a—
    dots3-note Preview92.1%
    Source

    Not directly comparable

  • WideResearch

    Decision Fast v53a—
    dots3-note Preview78.9%
    Source

    Not directly comparable

Coding

  • Codeforces

    Decision Fast v53a—
    dots3-note Preview3056.0
    Source

    Not directly comparable

  • LiveCodeBench v6

    Decision Fast v53a—
    dots3-note Preview91.5%
    Source

    Not directly comparable

  • Terminal-Bench 2.1

    Decision Fast v53a—
    dots3-note Preview75.1%
    Source

    Not directly comparable

  • SWE-bench Verified

    Decision Fast v53a—
    dots3-note Preview78.4%
    Source

    Not directly comparable

  • SWE Multilingual

    Decision Fast v53a—
    dots3-note Preview75.7%
    Source

    Not directly comparable

  • SWE-bench Pro

    Decision Fast v53a—
    dots3-note Preview61%
    Source

    Not directly comparable

  • NL2Repo

    Decision Fast v53a—
    dots3-note Preview49.8%
    Source

    Not directly comparable

Reasoning

  • JevBench 1.4

    Decision Fast v53a32.49
    Source
    dots3-note Preview—

    Not directly comparable

  • JevBench 1.5

    Decision Fast v53a0.00
    Source
    dots3-note Preview—

    Not directly comparable

  • ARC-AGI-2

    Decision Fast v53a—
    dots3-note Preview81.4%
    Source

    Not directly comparable

Multimodal

  • SimpleVQA

    Decision Fast v53a—
    dots3-note Preview72.5%
    Source

    Not directly comparable

  • MMMU-Pro

    Decision Fast v53a—
    dots3-note Preview79.1%
    Source

    Not directly comparable

  • MathVision

    Decision Fast v53a—
    dots3-note Preview87.7%
    Source

    Not directly comparable

  • ZeroBench

    Decision Fast v53a—
    dots3-note Preview19.0%
    Source

    Not directly comparable

  • CharXiv w/o tools

    Decision Fast v53a—
    dots3-note Preview83.1%
    Source

    Not directly comparable

  • GDP.pdf (no tools)

    Decision Fast v53a—
    dots3-note Preview60.7%
    Source

    Not directly comparable

  • PerceptionBench

    Decision Fast v53a—
    dots3-note Preview53.4%
    Source

    Not directly comparable

  • BabyVision

    Decision Fast v53a—
    dots3-note Preview50.0%
    Source

    Not directly comparable

  • MMVU

    Decision Fast v53a—
    dots3-note Preview79.9%
    Source

    Not directly comparable

  • VideoMMMU

    Decision Fast v53a—
    dots3-note Preview86.8%
    Source

    Not directly comparable

Knowledge

  • HLE

    Decision Fast v53a—
    dots3-note Preview52.6%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Decision Fast v53a—
    dots3-note Preview80.4%
    Source

    Not directly comparable

  • IFEval

    Decision Fast v53a—
    dots3-note Preview93.9%
    Source

    Not directly comparable

Math

  • IMOAnswerBench

    Decision Fast v53a—
    dots3-note Preview90.9%
    Source

    Not directly comparable

33 public results · 0 shared

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Last updated October 1, 2026