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BenchLM

Nemotron 3.5 Lightning 30B A3B NVFP4 vs Pokee-Isaac 28B

Updated September 24, 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

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. 4 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
NVIDIA logo

NVIDIA

19.1/100

Estimated · Public rank #186

90% interval 9.2–29.0

Model B
Pokee AI logo

Pokee AI

—

Evidence status unavailable

90% interval unavailable

Shared results
4
Nemotron 3.5 Lightning 30B A3B NVFP4 only
9
Pokee-Isaac 28B only
3
Like-for-like categories
0 / 8
Estimated: Nemotron 3.5 Lightning 30B A3B NVFP4How 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.

  • Long documents

    Prompts that approach the documented context limit

    Pokee-Isaac 28B

    Pokee-Isaac 28B has the larger documented context window.

    Confidence: documented
Show secondary and unsupported calls
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Pokee-Isaac 28B 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

    Pokee-Isaac 28B is not ranked on the public lane for agentic, so no winner is named for agentic.

    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: rate-fallback
  • 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.

11.4Nemotron 3.5 Lightning 30B A3B NVFP4—Pokee-Isaac 28B

Not comparable · BenchAlign v5.7

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 v5.7 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
Nemotron 3.5 Lightning 30B A3B NVFP4
7.3
Estimated · #104/105
Pokee-Isaac 28B
Not ranked
Basis
BenchAlign v5.7 lane · 4 vs 5 public rows
Reading
Not comparable

Coding

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
11.4
Estimated · #135/135
Pokee-Isaac 28B
Not ranked
Basis
BenchAlign v5.7 lane · 4 vs 1 public rows
Reading
Not comparable

Reasoning

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
55.9
Unranked · 1 rankable row
Pokee-Isaac 28B
39.7
Unranked · 1 rankable row
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
Not ranked
Pokee-Isaac 28B
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
20.7
Estimated · #154/158
Pokee-Isaac 28B
Not ranked
Basis
BenchAlign v5.7 lane · 4 vs 0 public rows
Reading
Not comparable

Multilingual

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
Not ranked
Pokee-Isaac 28B
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
68.5
#67/124
Pokee-Isaac 28B
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Nemotron 3.5 Lightning 30B A3B NVFP4
Not ranked
Pokee-Isaac 28B
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 v5.7) 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

Nemotron 3.5 Lightning 30B A3B NVFP4
Self-hosted; infrastructure cost varies
Fits in one request
Pokee-Isaac 28B
$0.00065
Fits in one request

Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Nemotron 3.5 Lightning 30B A3B NVFP4
Self-hosted; infrastructure cost varies
Fits in one request
Pokee-Isaac 28B
$0.0105
Fits in one request

Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate.

Cache-heavy agent loop

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

Nemotron 3.5 Lightning 30B A3B NVFP4
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
Pokee-Isaac 28B
$0.043
Fits in one request
Cached input priced at the published list-input rate

Pokee-Isaac 28B has no published cached-input rate, so cached tokens use its listed input rate. Nemotron 3.5 Lightning 30B A3B NVFP4 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.

Documented inputs

Nemotron 3.5 Lightning 30B A3B NVFP4

Not sourced

Pokee-Isaac 28B

Not sourced

Documented outputs

Nemotron 3.5 Lightning 30B A3B NVFP4

Not sourced

Pokee-Isaac 28B

Not sourced

Provider availability

Nemotron 3.5 Lightning 30B A3B NVFP4

Not sourced

Pokee-Isaac 28B

Not sourced

Reasoning profile

Nemotron 3.5 Lightning 30B A3B NVFP4

Reasoning

Pokee-Isaac 28B

Reasoning

Weight access

Nemotron 3.5 Lightning 30B A3B NVFP4

Open Weight

Pokee-Isaac 28B

Proprietary

License

Nemotron 3.5 Lightning 30B A3B NVFP4

Open Weight

Pokee-Isaac 28B

Proprietary

Release date

Nemotron 3.5 Lightning 30B A3B NVFP4

2026-08-11

Pokee-Isaac 28B

2026-08-03

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
Pokee-Isaac 28B has the larger documented window (10M).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Nemotron 3.5 Lightning 30B A3B NVFP4 or Pokee-Isaac 28B?

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, Nemotron 3.5 Lightning 30B A3B NVFP4 or Pokee-Isaac 28B?

Pokee-Isaac 28B is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Nemotron 3.5 Lightning 30B A3B NVFP4 or Pokee-Isaac 28B?

Pokee-Isaac 28B is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Nemotron 3.5 Lightning 30B A3B NVFP4 or Pokee-Isaac 28B?

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, Nemotron 3.5 Lightning 30B A3B NVFP4 or Pokee-Isaac 28B?

Pokee-Isaac 28B has the larger documented context window: 10M, compared with 1M.

Benchmark evidence

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

Browse raw public benchmark evidence16 rows

Agentic

  • Terminal-Bench 2.1

    Nemotron 3.5 Lightning 30B A3B NVFP423.5%
    Source
    Pokee-Isaac 28B65.1%
    Source

    Pokee-Isaac 28B leads this result

  • PinchBench

    Nemotron 3.5 Lightning 30B A3B NVFP483.4%
    Source
    Pokee-Isaac 28B95.7%
    Source

    Pokee-Isaac 28B leads this result

  • BrowseComp

    Nemotron 3.5 Lightning 30B A3B NVFP436.8%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • τ³-bench results

    Nemotron 3.5 Lightning 30B A3B NVFP49.5%
    Source
    Pokee-Isaac 28B66.2%
    Source

    Pokee-Isaac 28B leads this result

  • BFCL v4

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Pokee-Isaac 28B70.9%
    Source

    Not directly comparable

  • MCP-Atlas claim coverage

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Pokee-Isaac 28B74.6%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Nemotron 3.5 Lightning 30B A3B NVFP452.8%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • SWE Multilingual

    Nemotron 3.5 Lightning 30B A3B NVFP436.5%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • Terminal-Bench 2.1

    Nemotron 3.5 Lightning 30B A3B NVFP423.5%
    Source
    Pokee-Isaac 28B65.1%
    Source

    Pokee-Isaac 28B leads this result

  • SciCode

    Nemotron 3.5 Lightning 30B A3B NVFP431.4%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

Reasoning

  • MRCRv2

    Nemotron 3.5 Lightning 30B A3B NVFP4—
    Pokee-Isaac 28B60.7%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Nemotron 3.5 Lightning 30B A3B NVFP475.6%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • GPQA-D

    Nemotron 3.5 Lightning 30B A3B NVFP475.6%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • HLE w/o tools

    Nemotron 3.5 Lightning 30B A3B NVFP410.5%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • MMLU-Pro

    Nemotron 3.5 Lightning 30B A3B NVFP481.6%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

Instruction following

  • IFBench

    Nemotron 3.5 Lightning 30B A3B NVFP472.9%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

16 public results · 4 shared

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Last updated September 24, 2026