Agentic
Like-for-like- DeepSeek V4 Pro 0813
- 74.5
- Nemotron 3.5 Lightning 30B A3B NVFP4
- 29.1
- Weighted basis
- 2 vs 2 rows
- Reading
- DeepSeek V4 Pro 0813 leads
DeepSeek V4 Pro 0813 vs Nemotron 3.5 Lightning 30B A3B NVFP4
Updated August 13, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
N
Model BNVIDIA
26.8/100
Estimated · Public rank #205
90% interval 17.0–36.7
Decision reading
DeepSeek V4 Pro 0813 has the higher public score, 60.93 versus 26.83, and the 90% score intervals do not overlap.
8 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.
Agentic work
Tool use, computer use, and multi-step task completion
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads on the same 2 weighted benchmark rows.
Confidence: limited
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
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
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
26 DeepSeek V4 Pro 0813 only
8 Shared
5 Nemotron 3.5 Lightning 30B A3B NVFP4 only
- Shared results
- 8
- DeepSeek V4 Pro 0813 only
- 26
- Nemotron 3.5 Lightning 30B A3B NVFP4 only
- 5
- Like-for-like categories
- 1 / 8
2 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
Coding
Directional only- DeepSeek V4 Pro 0813
- 70.9
- Nemotron 3.5 Lightning 30B A3B NVFP4
- 42.1
- Weighted basis
- 2 vs 2 rows
- Reading
- Directional only
Knowledge
Directional only- DeepSeek V4 Pro 0813
- 62.5
- Nemotron 3.5 Lightning 30B A3B NVFP4
- 80.5
- Weighted basis
- 4 vs 2 rows
- Reading
- Directional only
Reasoning
Not comparable- DeepSeek V4 Pro 0813
- Not measured
- Nemotron 3.5 Lightning 30B A3B NVFP4
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Math
Not comparable- DeepSeek V4 Pro 0813
- 95.2
- Nemotron 3.5 Lightning 30B A3B NVFP4
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- DeepSeek V4 Pro 0813
- Not measured
- Nemotron 3.5 Lightning 30B A3B NVFP4
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- DeepSeek V4 Pro 0813
- Not measured
- Nemotron 3.5 Lightning 30B A3B NVFP4
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- DeepSeek V4 Pro 0813
- Not measured
- Nemotron 3.5 Lightning 30B A3B NVFP4
- 72.9
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
| Category | DeepSeek V4 Pro 0813 | Nemotron 3.5 Lightning 30B A3B NVFP4 | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | 74.5 | 29.1 | Like-for-like2 vs 2 rows | DeepSeek V4 Pro 0813 leads |
| Coding | 70.9 | 42.1 | Directional only2 vs 2 rows | Directional only |
| Knowledge | 62.5 | 80.5 | Directional only4 vs 2 rows | Directional only |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | 95.2 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Instruction following | Not measured | 72.9 | 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.
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.
BrowseComp
Agentic
DeepSeek V4 Pro 0813: 83.4%Nemotron 3.5 Lightning 30B A3B NVFP4: 36.8%Normalized gap 46.6DeepSeek V4 Pro 0813 source Nemotron 3.5 Lightning 30B A3B NVFP4 sourceTerminal-Bench 2.0
Agentic
DeepSeek V4 Pro 0813: 67.9%Nemotron 3.5 Lightning 30B A3B NVFP4: 23.5%Normalized gap 44.4DeepSeek V4 Pro 0813 source Nemotron 3.5 Lightning 30B A3B NVFP4 sourceSWE-bench Verified
Coding
DeepSeek V4 Pro 0813: 80.6%Nemotron 3.5 Lightning 30B A3B NVFP4: 52.8%Normalized gap 27.8DeepSeek V4 Pro 0813 source Nemotron 3.5 Lightning 30B A3B NVFP4 sourceGPQA
Knowledge
DeepSeek V4 Pro 0813: 90.1%Nemotron 3.5 Lightning 30B A3B NVFP4: 75.6%Normalized gap 14.5DeepSeek V4 Pro 0813 source Nemotron 3.5 Lightning 30B A3B NVFP4 sourceMMLU-Pro
Knowledge
DeepSeek V4 Pro 0813: 87.5%Nemotron 3.5 Lightning 30B A3B NVFP4: 81.6%Normalized gap 5.9DeepSeek V4 Pro 0813 source Nemotron 3.5 Lightning 30B A3B NVFP4 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
- DeepSeek V4 Pro 0813
- $0.00087
- 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
- DeepSeek V4 Pro 0813
- $0.02436
- 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
- DeepSeek V4 Pro 0813
- $0.01812
- 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.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationDeepSeek V4 Pro 0813Nemotron 3.5 Lightning 30B A3B NVFP4
Context window
Maximum documented context; output-token limits may be lower.
DeepSeek V4 Pro 0813
Nemotron 3.5 Lightning 30B A3B NVFP4
API model ID
DeepSeek V4 Pro 0813
deepseek-v4-pro
DeepSeek models and pricingNemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
DeepSeek V4 Pro 0813
$0.003625 per 1M cached input tokens
Nemotron 3.5 Lightning 30B A3B NVFP4
No comparable hosted API rate
NVIDIA Nemotron 3.5 Lightning model cardDocumented inputs
DeepSeek V4 Pro 0813
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Documented outputs
DeepSeek V4 Pro 0813
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Provider availability
DeepSeek V4 Pro 0813
Generally Available · DeepSeek API
DeepSeek models and pricingNemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Reasoning profile
DeepSeek V4 Pro 0813
Reasoning
Nemotron 3.5 Lightning 30B A3B NVFP4
Reasoning
Weight access
DeepSeek V4 Pro 0813
Proprietary
Nemotron 3.5 Lightning 30B A3B NVFP4
Open Weight
License
DeepSeek V4 Pro 0813
Proprietary
Nemotron 3.5 Lightning 30B A3B NVFP4
Open Weight
Release date
DeepSeek V4 Pro 0813
2026-08-13
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
- DeepSeek V4 Pro 0813 has the higher public score, 60.93 versus 26.83, and the 90% score intervals do not overlap.
- 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.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence39 rows
Agentic
Terminal-Bench 2.0
DeepSeek V4 Pro 081367.9%SourceNemotron 3.5 Lightning 30B A3B NVFP423.5%SourceDeepSeek V4 Pro 0813 leads this result
Terminal-Bench 2.1
DeepSeek V4 Pro 081387.9%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
BrowseComp
DeepSeek V4 Pro 081383.4%SourceNemotron 3.5 Lightning 30B A3B NVFP436.8%SourceDeepSeek V4 Pro 0813 leads this result
HLE w/ tools
DeepSeek V4 Pro 081360.0%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
MCP Atlas
DeepSeek V4 Pro 081373.6%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
Toolathlon
DeepSeek V4 Pro 081351.8%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
CyberGym
DeepSeek V4 Pro 081383.3%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
Toolathlon-Verified
DeepSeek V4 Pro 081374.1%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
Agents' Last Exam
DeepSeek V4 Pro 081325.7%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
AutomationBench
DeepSeek V4 Pro 081331.8%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
PinchBench
DeepSeek V4 Pro 0813—Nemotron 3.5 Lightning 30B A3B NVFP483.4%SourceNot directly comparable
τ³-bench results
DeepSeek V4 Pro 0813—Nemotron 3.5 Lightning 30B A3B NVFP49.5%SourceNot directly comparable
Coding
LiveCodeBench Pass@1-COT
DeepSeek V4 Pro 081393.5%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
Codeforces
DeepSeek V4 Pro 08133206.0SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
SWE-bench Verified
DeepSeek V4 Pro 081380.6%SourceNemotron 3.5 Lightning 30B A3B NVFP452.8%SourceDeepSeek V4 Pro 0813 leads this result
SWE-bench Pro
DeepSeek V4 Pro 081355.4%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
SWE Multilingual
DeepSeek V4 Pro 081376.2%SourceNemotron 3.5 Lightning 30B A3B NVFP436.5%SourceDeepSeek V4 Pro 0813 leads this result
Terminal-Bench 2.0
DeepSeek V4 Pro 081367.9%SourceNemotron 3.5 Lightning 30B A3B NVFP423.5%SourceDeepSeek V4 Pro 0813 leads this result
Vibe Code Bench
DeepSeek V4 Pro 081349.93%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
Terminal-Bench 2.1
DeepSeek V4 Pro 081387.9%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
NL2Repo
DeepSeek V4 Pro 081361.5%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
deepSwe
DeepSeek V4 Pro 081362.7%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
DSBench-FullStack
DeepSeek V4 Pro 081371.1%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
DSBench-Hard
DeepSeek V4 Pro 081367.2%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
SciCode
DeepSeek V4 Pro 0813—Nemotron 3.5 Lightning 30B A3B NVFP431.4%SourceNot directly comparable
Reasoning
Knowledge
MMLU-Pro
DeepSeek V4 Pro 081387.5%SourceNemotron 3.5 Lightning 30B A3B NVFP481.6%SourceDeepSeek V4 Pro 0813 leads this result
SimpleQA
DeepSeek V4 Pro 081357.9%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
Chinese-SimpleQA
DeepSeek V4 Pro 081384.4%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
GPQA
DeepSeek V4 Pro 081390.1%SourceNemotron 3.5 Lightning 30B A3B NVFP475.6%SourceDeepSeek V4 Pro 0813 leads this result
GPQA-D
DeepSeek V4 Pro 081390.1%SourceNemotron 3.5 Lightning 30B A3B NVFP475.6%SourceDeepSeek V4 Pro 0813 leads this result
HLE
DeepSeek V4 Pro 081342.7%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
HLE w/o tools
DeepSeek V4 Pro 0813—Nemotron 3.5 Lightning 30B A3B NVFP410.5%SourceNot directly comparable
Math
HMMT Feb 2026
DeepSeek V4 Pro 081395.2%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
IMOAnswerBench
DeepSeek V4 Pro 081389.8%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
Apex
DeepSeek V4 Pro 081338.3%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
Apex Shortlist
DeepSeek V4 Pro 081390.2%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
Instruction following
IFBench
DeepSeek V4 Pro 0813—Nemotron 3.5 Lightning 30B A3B NVFP472.9%SourceNot directly comparable
Frequently asked questions
Which is better, DeepSeek V4 Pro 0813 or Nemotron 3.5 Lightning 30B A3B NVFP4?
DeepSeek V4 Pro 0813 has the higher public score, 60.93 versus 26.83, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.
Which is better for coding, DeepSeek V4 Pro 0813 or Nemotron 3.5 Lightning 30B A3B NVFP4?
The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, DeepSeek V4 Pro 0813 or Nemotron 3.5 Lightning 30B A3B NVFP4?
DeepSeek V4 Pro 0813 leads the like-for-like agentic tasks comparison across 2 shared weighted benchmark rows.
Which costs less, DeepSeek V4 Pro 0813 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, DeepSeek V4 Pro 0813 or Nemotron 3.5 Lightning 30B A3B NVFP4?
Both models list the same context window, 1M.
Related comparisons
Last updated August 13, 2026
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