Skip to main content
Radar

Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.

Start free brief
BenchLM
Model A
Audio Flamingo 3 7B

NVIDIA

—

Evidence status unavailable

90% interval unavailable

Audio Flamingo 3 7B vs dots3-note Preview

Updated August 14, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Model B
dots3-note Preview

Dots Studio

—

Evidence status unavailable

90% interval unavailable

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 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

    No shared weighted benchmark basis supports a winner.

    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

  • 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

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
0
Audio Flamingo 3 7B only
0
dots3-note Preview only
31
Like-for-like categories
0 / 8

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.

Agentic

Not comparable
Audio Flamingo 3 7B
Not measured
dots3-note Preview
83.3
Weighted basis
0 vs 1 rows
Reading
Not comparable

Coding

Not comparable
Audio Flamingo 3 7B
Not measured
dots3-note Preview
71.7
Weighted basis
0 vs 2 rows
Reading
Not comparable

Reasoning

Not comparable
Audio Flamingo 3 7B
Not measured
dots3-note Preview
81.4
Weighted basis
0 vs 1 rows
Reading
Not comparable

Knowledge

Not comparable
Audio Flamingo 3 7B
Not measured
dots3-note Preview
52.6
Weighted basis
0 vs 1 rows
Reading
Not comparable

Math

Not comparable
Audio Flamingo 3 7B
Not measured
dots3-note Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Audio Flamingo 3 7B
Not measured
dots3-note Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Audio Flamingo 3 7B
Not measured
dots3-note Preview
79.1
Weighted basis
0 vs 1 rows
Reading
Not comparable

Instruction following

Not comparable
Audio Flamingo 3 7B
Not measured
dots3-note Preview
85.1
Weighted basis
0 vs 2 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.

A shared-evidence shape is not available.

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

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

Audio Flamingo 3 7B
API rate not published
Fit state unavailable
dots3-note Preview
Self-hosted; infrastructure cost varies
Fits in one request

Audio Flamingo 3 7B 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

Audio Flamingo 3 7B
API rate not published
Fit state unavailable
dots3-note Preview
Self-hosted; infrastructure cost varies
Fits in one request

Audio Flamingo 3 7B 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

Audio Flamingo 3 7B
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

Audio Flamingo 3 7B has no comparable published API token rate. dots3-note Preview 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.

Audio Flamingo 3 7B

N/A

dots3-note Preview

512K

dots3-note Preview model card

API model ID

Audio Flamingo 3 7B

Not sourced

dots3-note Preview

Not sourced

Documented inputs

Audio Flamingo 3 7B

Not sourced

dots3-note Preview

Not sourced

Documented outputs

Audio Flamingo 3 7B

Not sourced

dots3-note Preview

Not sourced

Provider availability

Audio Flamingo 3 7B

Not sourced

dots3-note Preview

Not sourced

Reasoning profile

Audio Flamingo 3 7B

Non-Reasoning

dots3-note Preview

Reasoning

Weight access

Audio Flamingo 3 7B

Open Weight

dots3-note Preview

Open Weight

License

Audio Flamingo 3 7B

Open Weight

dots3-note Preview

Open Weight

Release date

Audio Flamingo 3 7B

2025-07-10

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.

Benchmark evidence

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

Browse raw public benchmark evidence31 rows

Agentic

  • Claw-Eval

    Audio Flamingo 3 7B—
    dots3-note Preview73.4%
    Source

    Not directly comparable

  • Terminal-Bench 2.1

    Audio Flamingo 3 7B—
    dots3-note Preview75.1%
    Source

    Not directly comparable

  • Toolathlon-Verified

    Audio Flamingo 3 7B—
    dots3-note Preview55.6%
    Source

    Not directly comparable

  • skillsBench

    Audio Flamingo 3 7B—
    dots3-note Preview52.8%
    Source

    Not directly comparable

  • APEX-Agents

    Audio Flamingo 3 7B—
    dots3-note Preview30.8%
    Source

    Not directly comparable

  • BrowseComp

    Audio Flamingo 3 7B—
    dots3-note Preview83.3%
    Source

    Not directly comparable

  • HLE w/ tools

    Audio Flamingo 3 7B—
    dots3-note Preview52.6%
    Source

    Not directly comparable

  • DeepSearchQA

    Audio Flamingo 3 7B—
    dots3-note Preview92.1%
    Source

    Not directly comparable

  • WideResearch

    Audio Flamingo 3 7B—
    dots3-note Preview78.9%
    Source

    Not directly comparable

Coding

  • Codeforces

    Audio Flamingo 3 7B—
    dots3-note Preview3056.0
    Source

    Not directly comparable

  • LiveCodeBench v6

    Audio Flamingo 3 7B—
    dots3-note Preview91.5%
    Source

    Not directly comparable

  • Terminal-Bench 2.1

    Audio Flamingo 3 7B—
    dots3-note Preview75.1%
    Source

    Not directly comparable

  • SWE-bench Verified

    Audio Flamingo 3 7B—
    dots3-note Preview78.4%
    Source

    Not directly comparable

  • SWE Multilingual

    Audio Flamingo 3 7B—
    dots3-note Preview75.7%
    Source

    Not directly comparable

  • SWE-bench Pro

    Audio Flamingo 3 7B—
    dots3-note Preview61%
    Source

    Not directly comparable

  • NL2Repo

    Audio Flamingo 3 7B—
    dots3-note Preview49.8%
    Source

    Not directly comparable

Reasoning

  • ARC-AGI-2

    Audio Flamingo 3 7B—
    dots3-note Preview81.4%
    Source

    Not directly comparable

Knowledge

  • HLE

    Audio Flamingo 3 7B—
    dots3-note Preview52.6%
    Source

    Not directly comparable

Math

  • IMOAnswerBench

    Audio Flamingo 3 7B—
    dots3-note Preview90.9%
    Source

    Not directly comparable

Multimodal

  • SimpleVQA

    Audio Flamingo 3 7B—
    dots3-note Preview72.5%
    Source

    Not directly comparable

  • MMMU-Pro

    Audio Flamingo 3 7B—
    dots3-note Preview79.1%
    Source

    Not directly comparable

  • MathVision

    Audio Flamingo 3 7B—
    dots3-note Preview87.7%
    Source

    Not directly comparable

  • ZeroBench

    Audio Flamingo 3 7B—
    dots3-note Preview19.0%
    Source

    Not directly comparable

  • CharXiv w/o tools

    Audio Flamingo 3 7B—
    dots3-note Preview83.1%
    Source

    Not directly comparable

  • GDP.pdf (no tools)

    Audio Flamingo 3 7B—
    dots3-note Preview60.7%
    Source

    Not directly comparable

  • PerceptionBench

    Audio Flamingo 3 7B—
    dots3-note Preview53.4%
    Source

    Not directly comparable

  • BabyVision

    Audio Flamingo 3 7B—
    dots3-note Preview50.0%
    Source

    Not directly comparable

  • MMVU

    Audio Flamingo 3 7B—
    dots3-note Preview79.9%
    Source

    Not directly comparable

  • VideoMMMU

    Audio Flamingo 3 7B—
    dots3-note Preview86.8%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Audio Flamingo 3 7B—
    dots3-note Preview80.4%
    Source

    Not directly comparable

  • IFEval

    Audio Flamingo 3 7B—
    dots3-note Preview93.9%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Audio Flamingo 3 7B 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, Audio Flamingo 3 7B or dots3-note Preview?

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

Which is better for agentic tasks, Audio Flamingo 3 7B or dots3-note Preview?

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, Audio Flamingo 3 7B 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, Audio Flamingo 3 7B or dots3-note Preview?

A complete documented context-window comparison is not available.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 14, 2026

Watch Audio Flamingo 3 7B vs dots3-note Preview

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

Read a sample issue

Join 2,000+ readers.