Model comparison

MERaLiON-AudioLLM vs Nemotron 3 Ultra

Updated August 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

MERaLiON-AudioLLM

AI Singapore

—

Evidence status unavailable

90% interval unavailable

Nemotron 3 Ultra

NVIDIA

44.4/100

Estimated · Public rank #152

90% interval 34.5–54.3

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.

19 Nemotron 3 Ultra only

Shared results: 0
MERaLiON-AudioLLM only: 0
Nemotron 3 Ultra only: 19
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

MERaLiON-AudioLLM: Not measured
Nemotron 3 Ultra: 51.3
Weighted basis: 0 vs 2 rows
Reading: Not comparable

Coding

Not comparable

MERaLiON-AudioLLM: Not measured
Nemotron 3 Ultra: 58.3
Weighted basis: 0 vs 2 rows
Reading: Not comparable

Reasoning

Not comparable

MERaLiON-AudioLLM: Not measured
Nemotron 3 Ultra: 61.9
Weighted basis: 0 vs 1 rows
Reading: Not comparable

Knowledge

Not comparable

MERaLiON-AudioLLM: Not measured
Nemotron 3 Ultra: 53.8
Weighted basis: 0 vs 3 rows
Reading: Not comparable

Math

Not comparable

MERaLiON-AudioLLM: Not measured
Nemotron 3 Ultra: Not measured
Weighted basis: 0 vs 0 rows
Reading: Not comparable

Multilingual

Not comparable

MERaLiON-AudioLLM: Not measured
Nemotron 3 Ultra: 83.0
Weighted basis: 0 vs 1 rows
Reading: Not comparable

Multimodal

Not comparable

MERaLiON-AudioLLM: Not measured
Nemotron 3 Ultra: Not measured
Weighted basis: 0 vs 0 rows
Reading: Not comparable

Instruction following

Not comparable

MERaLiON-AudioLLM: Not measured
Nemotron 3 Ultra: 81.7
Weighted basis: 0 vs 1 rows
Reading: Not comparable

Category averages with the server-provided evidence basis for MERaLiON-AudioLLM and Nemotron 3 Ultra
Category	MERaLiON-AudioLLM	Nemotron 3 Ultra	Weighted basis	Reading
Agentic	Not measured	51.3	Not comparable0 vs 2 rows	Not comparable
Coding	Not measured	58.3	Not comparable0 vs 2 rows	Not comparable
Reasoning	Not measured	61.9	Not comparable0 vs 1 rows	Not comparable
Knowledge	Not measured	53.8	Not comparable0 vs 3 rows	Not comparable
Math	Not measured	Not measured	Not comparable0 vs 0 rows	Not comparable
Multilingual	Not measured	83.0	Not comparable0 vs 1 rows	Not comparable
Multimodal	Not measured	Not measured	Not comparable0 vs 0 rows	Not comparable
Instruction following	Not measured	81.7	Not comparable0 vs 1 rows	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

MERaLiON-AudioLLM: API rate not published; Fit state unavailable
Nemotron 3 Ultra: Self-hosted; infrastructure cost varies; Fits in one request

MERaLiON-AudioLLM has no comparable published API token rate. Nemotron 3 Ultra has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

MERaLiON-AudioLLM: API rate not published; Fit state unavailable
Nemotron 3 Ultra: Self-hosted; infrastructure cost varies; Fits in one request

MERaLiON-AudioLLM has no comparable published API token rate. Nemotron 3 Ultra has no comparable published API token rate.

Cache-heavy agent loop

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

MERaLiON-AudioLLM: API rate not published; Fit state unavailable; Cached-input rate unavailable
Nemotron 3 Ultra: Self-hosted; infrastructure cost varies; Fits in one request; Cached-input rate unavailable

MERaLiON-AudioLLM has no comparable published API token rate. Nemotron 3 Ultra 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.

SpecificationMERaLiON-AudioLLMNemotron 3 Ultra

Context window

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

MERaLiON-AudioLLM

N/A

Nemotron 3 Ultra

API model ID

MERaLiON-AudioLLM

Not sourced

Nemotron 3 Ultra

Not sourced

Cached-input rate

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

MERaLiON-AudioLLM

No comparable hosted API rate

AI Singapore model documentation

Nemotron 3 Ultra

No comparable hosted API rate

Documented inputs

MERaLiON-AudioLLM

Not sourced

Nemotron 3 Ultra

Not sourced

Documented outputs

MERaLiON-AudioLLM

Not sourced

Nemotron 3 Ultra

Not sourced

Provider availability

MERaLiON-AudioLLM

Not sourced

Nemotron 3 Ultra

Not sourced

Reasoning profile

MERaLiON-AudioLLM

Non-Reasoning

Nemotron 3 Ultra

Reasoning

Weight access

MERaLiON-AudioLLM

Open Weight

Nemotron 3 Ultra

Open Weight

License

MERaLiON-AudioLLM

Open Weight

Nemotron 3 Ultra

Open Weight

Release date

MERaLiON-AudioLLM

2024-12-13

Nemotron 3 Ultra

2026-06-04

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 evidence19 rows

Agentic

Terminal-Bench 2.0
MERaLiON-AudioLLM—
Nemotron 3 Ultra56.4%
Source
Not directly comparable
PinchBench
MERaLiON-AudioLLM—
Nemotron 3 Ultra90.0%
Source
Not directly comparable
BrowseComp
MERaLiON-AudioLLM—
Nemotron 3 Ultra44.4%
Source
Not directly comparable
τ³-bench results
MERaLiON-AudioLLM—
Nemotron 3 Ultra70.9%
Source
Not directly comparable
HLE w/ tools
MERaLiON-AudioLLM—
Nemotron 3 Ultra37.4%
Source
Not directly comparable

Coding

SWE-bench Verified
MERaLiON-AudioLLM—
Nemotron 3 Ultra71.9%
Source
Not directly comparable
SWE Multilingual
MERaLiON-AudioLLM—
Nemotron 3 Ultra67.7%
Source
Not directly comparable
LiveCodeBench v6
MERaLiON-AudioLLM—
Nemotron 3 Ultra89.0%
Source
Not directly comparable
SciCode
MERaLiON-AudioLLM—
Nemotron 3 Ultra44.6%
Source
Not directly comparable
Terminal-Bench 2.0
MERaLiON-AudioLLM—
Nemotron 3 Ultra56.4%
Source
Not directly comparable

Reasoning

CritPt
MERaLiON-AudioLLM—
Nemotron 3 Ultra3.1%
Source
Not directly comparable
LongBench v2
MERaLiON-AudioLLM—
Nemotron 3 Ultra61.9%
Source
Not directly comparable

Knowledge

GPQA
MERaLiON-AudioLLM—
Nemotron 3 Ultra87%
Source
Not directly comparable
GPQA-D
MERaLiON-AudioLLM—
Nemotron 3 Ultra87.0%
Source
Not directly comparable
HLE
MERaLiON-AudioLLM—
Nemotron 3 Ultra26.7%
Source
Not directly comparable
HLE w/o tools
MERaLiON-AudioLLM—
Nemotron 3 Ultra26.7%
Source
Not directly comparable
MMLU-Pro
MERaLiON-AudioLLM—
Nemotron 3 Ultra86.8%
Source
Not directly comparable

Multilingual

MMLU-ProX
MERaLiON-AudioLLM—
Nemotron 3 Ultra83%
Source
Not directly comparable

Instruction following

IFBench
MERaLiON-AudioLLM—
Nemotron 3 Ultra81.7%
Source
Not directly comparable

Frequently asked questions

Which is better, MERaLiON-AudioLLM or Nemotron 3 Ultra?

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, MERaLiON-AudioLLM or Nemotron 3 Ultra?

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, MERaLiON-AudioLLM or Nemotron 3 Ultra?

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, MERaLiON-AudioLLM or Nemotron 3 Ultra?

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, MERaLiON-AudioLLM or Nemotron 3 Ultra?

A complete documented context-window comparison is not available.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 4, 2026

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MERaLiON-AudioLLM vs Nemotron 3 Ultra

Which one for your work

Coding work

Agentic work

Long documents

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

What is actually comparable

Category results, on a stated basis

Agentic

Coding

Reasoning

Knowledge

Math

Multilingual

Multimodal

Instruction following

Shape of the matched evidence

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

Benchmark evidence

Agentic

Coding

Reasoning

Knowledge

Multilingual

Instruction following

Frequently asked questions

Which is better, MERaLiON-AudioLLM or Nemotron 3 Ultra?

Which is better for coding, MERaLiON-AudioLLM or Nemotron 3 Ultra?

Which is better for agentic tasks, MERaLiON-AudioLLM or Nemotron 3 Ultra?

Which costs less, MERaLiON-AudioLLM or Nemotron 3 Ultra?

Which has the larger context window, MERaLiON-AudioLLM or Nemotron 3 Ultra?

Related comparisons

Watch MERaLiON-AudioLLM vs Nemotron 3 Ultra