Agentic
Not comparable- Claude 3.5 Sonnet
- Not ranked
- Nemotron 3 Nano Omni 30B A3B
- 44.3
- Estimated · #90/152
- Basis
- BenchAlign lane · 0 vs 2 public rows
- Reading
- Not comparable
Claude 3.5 Sonnet vs Nemotron 3 Nano Omni 30B A3B
Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Nemotron 3 Nano Omni 30B A3B has the higher public score estimate, 40.6 versus 31.96, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Share or export
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
Nemotron 3 Nano Omni 30B A3B
Nemotron 3 Nano Omni 30B A3B 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
Claude 3.5 Sonnet 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 3.5 Sonnet 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
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Claude 3.5 Sonnet does not fit this workload in one request. Claude 3.5 Sonnet has no published cached-input rate, so cached tokens use its listed input rate. Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
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
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
3 Claude 3.5 Sonnet only
1 Shared
15 Nemotron 3 Nano Omni 30B A3B only
- Shared results
- 1
- Claude 3.5 Sonnet only
- 3
- Nemotron 3 Nano Omni 30B A3B only
- 15
- Like-for-like categories
- 0 / 8
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign 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.
Coding
Not comparable- Claude 3.5 Sonnet
- Not ranked
- Nemotron 3 Nano Omni 30B A3B
- 40.2
- Estimated · #116/151
- Basis
- BenchAlign lane · 1 vs 2 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Claude 3.5 Sonnet
- Not ranked
- Nemotron 3 Nano Omni 30B A3B
- 48.3
- Unranked · 2 rankable rows
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- Claude 3.5 Sonnet
- Not ranked
- Nemotron 3 Nano Omni 30B A3B
- 38.7
- Supported · #143/183
- Basis
- BenchAlign lane · 1 vs 3 public rows
- Reading
- Not comparable
Math
Not comparable- Claude 3.5 Sonnet
- 25.7
- Unranked · 2 rankable rows
- Nemotron 3 Nano Omni 30B A3B
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Claude 3.5 Sonnet
- Not ranked
- Nemotron 3 Nano Omni 30B A3B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Claude 3.5 Sonnet
- Not ranked
- Nemotron 3 Nano Omni 30B A3B
- 39.3
- #42/48
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Claude 3.5 Sonnet
- Not ranked
- Nemotron 3 Nano Omni 30B A3B
- 75.9
- #59/123
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
| Category | Claude 3.5 Sonnet | Nemotron 3 Nano Omni 30B A3B | Basis | Reading |
|---|---|---|---|---|
| Agentic | Not ranked | 44.3Estimated · #90/152 | Not comparableBenchAlign lane · 0 vs 2 public rows | Not comparable |
| Coding | Not ranked | 40.2Estimated · #116/151 | Not comparableBenchAlign lane · 1 vs 2 public rows | Not comparable |
| Reasoning | Not ranked | 48.3Unranked · 2 rankable rows | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Knowledge | Not ranked | 38.7Supported · #143/183 | Not comparableBenchAlign lane · 1 vs 3 public rows | Not comparable |
| Math | 25.7Unranked · 2 rankable rows | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | 39.3#42/48 | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Instruction following | Not ranked | 75.9#59/123 | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
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.
GPQA
Knowledge
Claude 3.5 Sonnet: 59.4%Nemotron 3 Nano Omni 30B A3B: 72.2%Normalized gap 12.8Claude 3.5 Sonnet source Nemotron 3 Nano Omni 30B A3B source
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 3.5 Sonnet
- $0.0105
- Fits in one request
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Claude 3.5 Sonnet
- $0.195
- Fits in one request
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Claude 3.5 Sonnet
- $0.81
- Does not fit in one request
- Cached input priced at the published list-input rate
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
Claude 3.5 Sonnet does not fit this workload in one request. Claude 3.5 Sonnet has no published cached-input rate, so cached tokens use its listed input rate. Nemotron 3 Nano Omni 30B A3B 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.
SpecificationClaude 3.5 SonnetNemotron 3 Nano Omni 30B A3B
Context window
Maximum documented context; output-token limits may be lower.
Claude 3.5 Sonnet
200K
Nemotron 3 Nano Omni 30B A3B
256K
API model ID
Claude 3.5 Sonnet
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude 3.5 Sonnet
Not published
Nemotron 3 Nano Omni 30B A3B
No comparable hosted API rate
Documented inputs
Claude 3.5 Sonnet
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
Documented outputs
Claude 3.5 Sonnet
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
Provider availability
Claude 3.5 Sonnet
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
Reasoning profile
Claude 3.5 Sonnet
Non-Reasoning
Nemotron 3 Nano Omni 30B A3B
Reasoning
Weight access
Claude 3.5 Sonnet
Proprietary
Nemotron 3 Nano Omni 30B A3B
Open Weight
License
Claude 3.5 Sonnet
Proprietary
Nemotron 3 Nano Omni 30B A3B
Open Weight
Release date
Claude 3.5 Sonnet
2024-06-01
Nemotron 3 Nano Omni 30B A3B
2026-04-28
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
- Nemotron 3 Nano Omni 30B A3B has the higher public score estimate, 40.6 versus 31.96, but the 90% score intervals overlap.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Nemotron 3 Nano Omni 30B A3B has the larger documented window (256K).
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
Coding
Knowledge
Math
FrontierMath v2 (Tiers 1-3)
Claude 3.5 Sonnet2.069%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
FrontierMath v2 (Tier 4)
Claude 3.5 Sonnet0.000%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
AIME 2025
Claude 3.5 Sonnet—Nemotron 3 Nano Omni 30B A3B82.1%SourceNot directly comparable
Multimodal
MMMU
Claude 3.5 Sonnet—Nemotron 3 Nano Omni 30B A3B70.8%SourceNot directly comparable
MMLongBench-Doc
Claude 3.5 Sonnet—Nemotron 3 Nano Omni 30B A3B57.5%SourceNot directly comparable
CharXiv
Claude 3.5 Sonnet—Nemotron 3 Nano Omni 30B A3B76.3%SourceNot directly comparable
ScreenSpot Pro
Claude 3.5 Sonnet—Nemotron 3 Nano Omni 30B A3B57.8%SourceNot directly comparable
Video-MME (w/o subtitle)
Claude 3.5 Sonnet—Nemotron 3 Nano Omni 30B A3B72.2%SourceNot directly comparable
AI2D_TEST
Claude 3.5 Sonnet—Nemotron 3 Nano Omni 30B A3B88.5%SourceNot directly comparable
RefCOCO (avg)
Claude 3.5 Sonnet—Nemotron 3 Nano Omni 30B A3B90.5%SourceNot directly comparable
Instruction following
IFBench
Claude 3.5 Sonnet—Nemotron 3 Nano Omni 30B A3B74.2%SourceNot directly comparable
Frequently asked questions
Which is better, Claude 3.5 Sonnet or Nemotron 3 Nano Omni 30B A3B?
Nemotron 3 Nano Omni 30B A3B has the higher public score estimate, 40.6 versus 31.96, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, Claude 3.5 Sonnet or Nemotron 3 Nano Omni 30B A3B?
Claude 3.5 Sonnet is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Claude 3.5 Sonnet or Nemotron 3 Nano Omni 30B A3B?
Claude 3.5 Sonnet is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Claude 3.5 Sonnet or Nemotron 3 Nano Omni 30B A3B?
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 3.5 Sonnet or Nemotron 3 Nano Omni 30B A3B?
Nemotron 3 Nano Omni 30B A3B has the larger documented context window: 256K, compared with 200K.
Related comparisons
Last updated September 10, 2026
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