Long documents
Prompts that approach the documented context limit
Gemini 3 Pro
Gemini 3 Pro has the larger documented context window.
Confidence: documented
Gemini 3 Pro vs Nemotron 3.5 Lightning 30B A3B NVFP4
Updated September 24, 2026. Rank says Gemini 3 Pro is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.
Both of these models will change. Get the price, version and retirement notices for the pair, each with its source. Follow model changes
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Decision reading
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 resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Model B
NVIDIA
19.1/100
Estimated · Public rank #186
90% interval 9.2–29.0
- Shared results
- 0
- Gemini 3 Pro only
- 12
- Nemotron 3.5 Lightning 30B A3B NVFP4 only
- 13
- Like-for-like categories
- 0 / 8
Supported: Gemini 3 Pro · 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.
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Gemini 3 Pro and Nemotron 3.5 Lightning 30B A3B NVFP4 are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limitedAgentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Gemini 3 Pro is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limitedChat 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-ratesCache-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-fallbackRepository 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.
45.1Gemini 3 Pro11.4Nemotron 3.5 Lightning 30B A3B NVFP4
Directional only · BenchAlign v5.7
Gemini 3 Pro scores higher, but at least one score rests on Estimated evidence or a different benchmark set. Directional only, no winner.
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.
12 Gemini 3 Pro only
13 Nemotron 3.5 Lightning 30B A3B NVFP4 only
3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
Coding
Directional only- Gemini 3 Pro
- 45.1
- Estimated · #47/135
- Nemotron 3.5 Lightning 30B A3B NVFP4
- 11.4
- Estimated · #135/135
- Basis
- BenchAlign v5.7 lane · 1 vs 4 public rows
- Reading
- Directional only
Knowledge
Directional only- Gemini 3 Pro
- 59.0
- Estimated · #36/158
- Nemotron 3.5 Lightning 30B A3B NVFP4
- 20.7
- Estimated · #154/158
- Basis
- BenchAlign v5.7 lane · 0 vs 4 public rows
- Reading
- Directional only
Instruction following
Directional only- Gemini 3 Pro
- 84.7
- #39/124
- Nemotron 3.5 Lightning 30B A3B NVFP4
- 68.5
- #67/124
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Directional only
Agentic
Not comparable- Gemini 3 Pro
- Not ranked
- Nemotron 3.5 Lightning 30B A3B NVFP4
- 7.3
- Estimated · #104/105
- Basis
- BenchAlign v5.7 lane · 2 vs 4 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Gemini 3 Pro
- 46.4
- Unranked · 3 rankable rows
- Nemotron 3.5 Lightning 30B A3B NVFP4
- 55.9
- Unranked · 1 rankable row
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Gemini 3 Pro
- 74.2
- #18/50
- Nemotron 3.5 Lightning 30B A3B NVFP4
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Gemini 3 Pro
- Not ranked
- Nemotron 3.5 Lightning 30B A3B NVFP4
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Gemini 3 Pro
- 55.2
- Unranked · 2 rankable rows
- Nemotron 3.5 Lightning 30B A3B NVFP4
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
| Category | Gemini 3 Pro | Nemotron 3.5 Lightning 30B A3B NVFP4 | Basis | Reading |
|---|---|---|---|---|
| Coding | 45.1Estimated · #47/135 | 11.4Estimated · #135/135 | Directional onlyBenchAlign v5.7 lane · 1 vs 4 public rows | Directional only |
| Knowledge | 59.0Estimated · #36/158 | 20.7Estimated · #154/158 | Directional onlyBenchAlign v5.7 lane · 0 vs 4 public rows | Directional only |
| Instruction following | 84.7#39/124 | 68.5#67/124 | Directional onlyProvisional lane · 0 vs 1 weighted rows | Directional only |
| Agentic | Not ranked | 7.3Estimated · #104/105 | Not comparableBenchAlign v5.7 lane · 2 vs 4 public rows | Not comparable |
| Reasoning | 46.4Unranked · 3 rankable rows | 55.9Unranked · 1 rankable row | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Multimodal | 74.2#18/50 | 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 |
| Math | 55.2Unranked · 2 rankable rows | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | 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
- Gemini 3 Pro
- $0.008
- 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
- Gemini 3 Pro
- $0.136
- 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
- Gemini 3 Pro
- $0.56
- Fits in one request
- Cached input priced at the published list-input rate
- Nemotron 3.5 Lightning 30B A3B NVFP4
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
Gemini 3 Pro 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.
SpecificationGemini 3 ProNemotron 3.5 Lightning 30B A3B NVFP4
Context window
Maximum documented context; output-token limits may be lower.
Gemini 3 Pro
2M
Nemotron 3.5 Lightning 30B A3B NVFP4
API model ID
Gemini 3 Pro
Not sourced
Nemotron 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.
Gemini 3 Pro
Not published
Nemotron 3.5 Lightning 30B A3B NVFP4
No comparable hosted API rate
NVIDIA Nemotron 3.5 Lightning model cardDocumented inputs
Gemini 3 Pro
Not sourced
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Documented outputs
Gemini 3 Pro
Not sourced
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Provider availability
Gemini 3 Pro
Not sourced
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Reasoning profile
Gemini 3 Pro
Non-Reasoning
Nemotron 3.5 Lightning 30B A3B NVFP4
Reasoning
Weight access
Gemini 3 Pro
Proprietary
Nemotron 3.5 Lightning 30B A3B NVFP4
Open Weight
License
Gemini 3 Pro
Proprietary
Nemotron 3.5 Lightning 30B A3B NVFP4
Open Weight
Release date
Gemini 3 Pro
2025-11-18
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
- 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
- Gemini 3 Pro has the larger documented window (2M).
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, Gemini 3 Pro or Nemotron 3.5 Lightning 30B A3B NVFP4?
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, Gemini 3 Pro or Nemotron 3.5 Lightning 30B A3B NVFP4?
Gemini 3 Pro scores higher for coding on the public lane, 45.1 to 11.4. Gemini 3 Pro and Nemotron 3.5 Lightning 30B A3B NVFP4 are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, Gemini 3 Pro or Nemotron 3.5 Lightning 30B A3B NVFP4?
Gemini 3 Pro is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Gemini 3 Pro 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, Gemini 3 Pro or Nemotron 3.5 Lightning 30B A3B NVFP4?
Gemini 3 Pro has the larger documented context window: 2M, 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 evidence25 rows
Agentic
Gert Labs
Gemini 3 Pro63.23%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
JobBench
Gemini 3 Pro11.4%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
Terminal-Bench 2.1
Gemini 3 Pro—Nemotron 3.5 Lightning 30B A3B NVFP423.5%SourceNot directly comparable
PinchBench
Gemini 3 Pro—Nemotron 3.5 Lightning 30B A3B NVFP483.4%SourceNot directly comparable
BrowseComp
Gemini 3 Pro—Nemotron 3.5 Lightning 30B A3B NVFP436.8%SourceNot directly comparable
τ³-bench results
Gemini 3 Pro—Nemotron 3.5 Lightning 30B A3B NVFP49.5%SourceNot directly comparable
Coding
Vibe Code Bench
Gemini 3 Pro14.30%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
SWE-bench Verified
Gemini 3 Pro—Nemotron 3.5 Lightning 30B A3B NVFP452.8%SourceNot directly comparable
SWE Multilingual
Gemini 3 Pro—Nemotron 3.5 Lightning 30B A3B NVFP436.5%SourceNot directly comparable
Terminal-Bench 2.1
Gemini 3 Pro—Nemotron 3.5 Lightning 30B A3B NVFP423.5%SourceNot directly comparable
SciCode
Gemini 3 Pro—Nemotron 3.5 Lightning 30B A3B NVFP431.4%SourceNot directly comparable
Reasoning
ARC-AGI-2
Gemini 3 Pro31.1%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
Multimodal
MMMU-Pro
Gemini 3 Pro81%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
MathVision
Gemini 3 Pro86.6%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
VideoMMMU
Gemini 3 Pro87.6%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
ScreenSpot Pro
Gemini 3 Pro72.7%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
CharXiv
Gemini 3 Pro81.4%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
V*
Gemini 3 Pro88.0%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
Knowledge
GPQA
Gemini 3 Pro—Nemotron 3.5 Lightning 30B A3B NVFP475.6%SourceNot directly comparable
GPQA-D
Gemini 3 Pro—Nemotron 3.5 Lightning 30B A3B NVFP475.6%SourceNot directly comparable
HLE w/o tools
Gemini 3 Pro—Nemotron 3.5 Lightning 30B A3B NVFP410.5%SourceNot directly comparable
MMLU-Pro
Gemini 3 Pro—Nemotron 3.5 Lightning 30B A3B NVFP481.6%SourceNot directly comparable
Instruction following
IFBench
Gemini 3 Pro—Nemotron 3.5 Lightning 30B A3B NVFP472.9%SourceNot directly comparable
Math
25 public results · 0 shared
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Last updated September 24, 2026