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BenchLM

Claude Mythos 5 vs Nemotron 3.5 Lightning 30B A3B NVFP4

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. 6 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
Anthropic logo

Anthropic

—

Evidence status unavailable

90% interval unavailable

Model B
NVIDIA logo

NVIDIA

19.1/100

Estimated · Public rank #186

90% interval 9.2–29.0

Shared results
6
Claude Mythos 5 only
9
Nemotron 3.5 Lightning 30B A3B NVFP4 only
7
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.

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

    Claude Mythos 5 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

    Claude Mythos 5 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

    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

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.

—Claude Mythos 511.4Nemotron 3.5 Lightning 30B A3B NVFP4

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.

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.

Bars run 0–100 on each benchmark’s normalized display scale

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

Coding

Not comparable
Claude Mythos 5
Not ranked
Nemotron 3.5 Lightning 30B A3B NVFP4
11.4
Estimated · #135/135
Basis
BenchAlign v5.7 lane · 3 vs 4 public rows
Reading
Not comparable

Reasoning

Not comparable
Claude Mythos 5
Not ranked
Nemotron 3.5 Lightning 30B A3B NVFP4
55.9
Unranked · 1 rankable row
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Claude Mythos 5
85.1
Unranked · 3 rankable rows
Nemotron 3.5 Lightning 30B A3B NVFP4
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Claude Mythos 5
Not ranked
Nemotron 3.5 Lightning 30B A3B NVFP4
20.7
Estimated · #154/158
Basis
BenchAlign v5.7 lane · 3 vs 4 public rows
Reading
Not comparable

Multilingual

Not comparable
Claude Mythos 5
Not ranked
Nemotron 3.5 Lightning 30B A3B NVFP4
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Claude Mythos 5
Not ranked
Nemotron 3.5 Lightning 30B A3B NVFP4
68.5
#67/124
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Math

Not comparable
Claude Mythos 5
Not ranked
Nemotron 3.5 Lightning 30B A3B NVFP4
Not ranked
Basis
Provisional lane · 1 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

Claude Mythos 5
$0.035
Fits in one request
Nemotron 3.5 Lightning 30B A3B NVFP4
Self-hosted; infrastructure cost varies
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

Claude Mythos 5
$0.65
Fits in one request
Nemotron 3.5 Lightning 30B A3B NVFP4
Self-hosted; infrastructure cost varies
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

Claude Mythos 5
$0.9
Fits in one request
Nemotron 3.5 Lightning 30B A3B NVFP4
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

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.

Provider availability

Claude Mythos 5

Limited Access · Claude API

Anthropic model overview

Nemotron 3.5 Lightning 30B A3B NVFP4

Not sourced

Reasoning profile

Claude Mythos 5

Reasoning

Nemotron 3.5 Lightning 30B A3B NVFP4

Reasoning

Weight access

Claude Mythos 5

Proprietary

Nemotron 3.5 Lightning 30B A3B NVFP4

Open Weight

License

Claude Mythos 5

Proprietary

Nemotron 3.5 Lightning 30B A3B NVFP4

Open Weight

Release date

Claude Mythos 5

2026-06-09

Nemotron 3.5 Lightning 30B A3B NVFP4

2026-08-11

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.

Questions

Which is better, Claude Mythos 5 or Nemotron 3.5 Lightning 30B A3B NVFP4?

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, Claude Mythos 5 or Nemotron 3.5 Lightning 30B A3B NVFP4?

Claude Mythos 5 is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Claude Mythos 5 or Nemotron 3.5 Lightning 30B A3B NVFP4?

Claude Mythos 5 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Claude Mythos 5 or Nemotron 3.5 Lightning 30B A3B NVFP4?

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, Claude Mythos 5 or Nemotron 3.5 Lightning 30B A3B NVFP4?

Both models list the same context window, 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 evidence22 rows

Agentic

  • Terminal-Bench 2.1

    Claude Mythos 588.0%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP423.5%
    Source

    Claude Mythos 5 leads this result

  • OSWorld-Verified

    Claude Mythos 585%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP4—

    Not directly comparable

  • BrowseComp

    Claude Mythos 588%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP436.8%
    Source

    Claude Mythos 5 leads this result

  • CyberGym

    Claude Mythos 583.8%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP4—

    Not directly comparable

  • PinchBench

    Claude Mythos 5—
    Nemotron 3.5 Lightning 30B A3B NVFP483.4%
    Source

    Not directly comparable

  • τ³-bench results

    Claude Mythos 5—
    Nemotron 3.5 Lightning 30B A3B NVFP49.5%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Claude Mythos 595.5%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP452.8%
    Source

    Claude Mythos 5 leads this result

  • SWE-bench Pro

    Claude Mythos 580.3%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP4—

    Not directly comparable

  • Terminal-Bench 2.1

    Claude Mythos 588.0%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP423.5%
    Source

    Claude Mythos 5 leads this result

  • SWE Multilingual

    Claude Mythos 5—
    Nemotron 3.5 Lightning 30B A3B NVFP436.5%
    Source

    Not directly comparable

  • SciCode

    Claude Mythos 5—
    Nemotron 3.5 Lightning 30B A3B NVFP431.4%
    Source

    Not directly comparable

Multimodal

  • SWE-bench Multimodal

    Claude Mythos 554.9%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP4—

    Not directly comparable

  • CharXiv

    Claude Mythos 593.5%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP4—

    Not directly comparable

  • CharXiv w/o tools

    Claude Mythos 588.9%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP4—

    Not directly comparable

Knowledge

  • GPQA

    Claude Mythos 594.1%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP475.6%
    Source

    Claude Mythos 5 leads this result

  • HLE

    Claude Mythos 564.5%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP4—

    Not directly comparable

  • HLE w/o tools

    Claude Mythos 559%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP410.5%
    Source

    Claude Mythos 5 leads this result

  • GPQA-D

    Claude Mythos 5—
    Nemotron 3.5 Lightning 30B A3B NVFP475.6%
    Source

    Not directly comparable

  • MMLU-Pro

    Claude Mythos 5—
    Nemotron 3.5 Lightning 30B A3B NVFP481.6%
    Source

    Not directly comparable

Multilingual

  • SWE Multilingual

    Claude Mythos 592.2%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP4—

    Not directly comparable

Instruction following

  • IFBench

    Claude Mythos 5—
    Nemotron 3.5 Lightning 30B A3B NVFP472.9%
    Source

    Not directly comparable

Math

  • USAMO 2026

    Claude Mythos 597.6%
    Source
    Nemotron 3.5 Lightning 30B A3B NVFP4—

    Not directly comparable

22 public results · 6 shared

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Last updated September 24, 2026