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Gemini 3.5 Flash Lite vs Nemotron 3.5 Super VL

Nemotron 3.5 Super VL leads Gemini 3.5 Flash Lite on the Artificial Analysis Intelligence Index, 26.5 to 22.2, and Nemotron 3.5 Super VL costs 5.0x less per output token ($0.50 vs $2.50 per million). Updated October 22, 2026; 4 benchmarks have a result for both.

Gemini 3.5 Flash LiteGoogle
Coding
49.0
Overall
49.8
Output $/M
$2.50
1
Nemotron 3.5 Super VLNVIDIA
Coding
No data
Overall
35.6
Output $/M
$0.50
3
vs boards won of 4 shared

Gemini 3.5 Flash Lite or Nemotron 3.5 Super VL: which to pick

Only Gemini 3.5 Flash Lite has a coding score, 49.0 on the Vibe Coding Index; Nemotron 3.5 Super VL has none, so the two cannot be ranked on coding.

Pick Nemotron 3.5 Super VL for output tokens 5.0x cheaper ($0.50 vs $2.50 per million) and work measured by SciCode or AA Intelligence Index, where it leads.

Shared results
4
Gemini 3.5 Flash Lite only
81
Nemotron 3.5 Super VL only
12
Like-for-like categories
4 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 3.5 Flash Lite 49.0 from 3 benchmarks, Nemotron 3.5 Super VL not benchmarked.
Widest category
Reasoning, 11.9 points apart on average over 1 shared benchmark.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Gemini 3.5 Flash Lite 18.8% against Nemotron 3.5 Super VL 30.7%, 11.9 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash Lite $2.50 against Nemotron 3.5 Super VL $0.50 per million output tokens, 5.0x apart.
Context window
Both take 1.05M tokens.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemini 3.5 Flash LiteBarsNemotron 3.5 Super VLTies
Coding01
Intelligence01
Reasoning01
General10
All shared boards13
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Gemini 3.5 Flash Lite and Nemotron 3.5 Super VL
BenchmarkGemini 3.5 Flash LiteNemotron 3.5 Super VLLeader
LiveBench codingNot measured65.5%Only Nemotron 3.5 Super VL measured
LMArena WebDev1435Not measuredOnly Gemini 3.5 Flash Lite measured
AA Coding Index49.3Not measuredOnly Gemini 3.5 Flash Lite measured
LiveCodeBench (Vals AI)79.0%Not measuredOnly Gemini 3.5 Flash Lite measured
SWE-bench Verified (Vals AI)75.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Vibe Code Bench (Vals AI)37.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Code migration (Vals AI)6.2%Not measuredOnly Gemini 3.5 Flash Lite measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Terminal-Bench 2.1 (Vals AI)50.2%Not measuredOnly Gemini 3.5 Flash Lite measured
CyberBench (Vals AI)59.1%Not measuredOnly Gemini 3.5 Flash Lite measured
SciCode41.3%47.8%Nemotron 3.5 Super VL
WeirdML39.0%Not measuredOnly Gemini 3.5 Flash Lite measured
ALE-Bench765.3Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: coding1453Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: software and IT1451Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena WebDev: React1408Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena WebDev: from an image1448Not measuredOnly Gemini 3.5 Flash Lite measured
SciCode6.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 3.5 Flash Lite and Nemotron 3.5 Super VL
BenchmarkGemini 3.5 Flash LiteNemotron 3.5 Super VLLeader
AA Intelligence Index22.226.5Nemotron 3.5 Super VL
Epoch Capabilities Index144.9Not measuredOnly Gemini 3.5 Flash Lite measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Agentic work benchmarks for Gemini 3.5 Flash Lite and Nemotron 3.5 Super VL
BenchmarkGemini 3.5 Flash LiteNemotron 3.5 Super VLLeader
AA Agentic Index14.3Not measuredOnly Gemini 3.5 Flash Lite measured
LiveBench researchNot measured70.9%Only Nemotron 3.5 Super VL measured
LiveBench browserNot measured4.0%Only Nemotron 3.5 Super VL measured
LiveBench long agenticNot measured15.8%Only Nemotron 3.5 Super VL measured
Finance Agent (Vals AI)47.4%Not measuredOnly Gemini 3.5 Flash Lite measured
Tax Agent Bench (Vals AI)7.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Legal Research Bench (Vals AI)13.9%Not measuredOnly Gemini 3.5 Flash Lite measured
Excel Modeling Benchmark (Vals AI)43.2%Not measuredOnly Gemini 3.5 Flash Lite measured
APEX-Agents29.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for Gemini 3.5 Flash Lite and Nemotron 3.5 Super VL
BenchmarkGemini 3.5 Flash LiteNemotron 3.5 Super VLLeader
GPQA Diamond83.8%Not measuredOnly Gemini 3.5 Flash Lite measured
LiveBench reasoningNot measured78.8%Only Nemotron 3.5 Super VL measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)83.8%Not measuredOnly Gemini 3.5 Flash Lite measured
Humanity's Last Exam (Artificial Analysis run)18.8%30.7%Nemotron 3.5 Super VL
GPQA Diamond (Epoch AI run)83.3%Not measuredOnly Gemini 3.5 Flash Lite measured
ARC-AGI53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
ARC-AGI-210.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Chess puzzles21.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Mystery game puzzles19.0%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: hard prompts1441Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: expert1434Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: hard prompts in English1440Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: diagrams1284Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: homework1291Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 8 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Gemini 3.5 Flash Lite and Nemotron 3.5 Super VL
BenchmarkGemini 3.5 Flash LiteNemotron 3.5 Super VLLeader
OTIS Mock AIME71.1%Not measuredOnly Gemini 3.5 Flash Lite measured
FrontierMath, tiers 1 to 326.0%Not measuredOnly Gemini 3.5 Flash Lite measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 3.5 Flash Lite measured
ProofBench13.0%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: math1434Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: mathematical work1433Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 8 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Knowledge benchmarks for Gemini 3.5 Flash Lite and Nemotron 3.5 Super VL
BenchmarkGemini 3.5 Flash LiteNemotron 3.5 Super VLLeader
MMLU Pro85.8%Not measuredOnly Gemini 3.5 Flash Lite measured
LegalBench (Vals AI)84.1%Not measuredOnly Gemini 3.5 Flash Lite measured
CorpFin (Vals AI)60.7%Not measuredOnly Gemini 3.5 Flash Lite measured
TaxEval (Vals AI)72.6%Not measuredOnly Gemini 3.5 Flash Lite measured
MortgageTax (Vals AI)68.7%Not measuredOnly Gemini 3.5 Flash Lite measured
MedCode (Vals AI)43.5%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: science1451Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: medicine and healthcare1438Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: legal and government1431Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: business and finance1423Not measuredOnly Gemini 3.5 Flash Lite measured
FACTS Benchmark Suite53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 9 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Gemini 3.5 Flash Lite and Nemotron 3.5 Super VL
BenchmarkGemini 3.5 Flash LiteNemotron 3.5 Super VLLeader
Design Arena: websitesNot measured1173Only Nemotron 3.5 Super VL measured
Design Arena: UI componentsNot measured1149Only Nemotron 3.5 Super VL measured
Design Arena: game devNot measured1110Only Nemotron 3.5 Super VL measured
Design Arena: 3DNot measured1128Only Nemotron 3.5 Super VL measured
Design Arena: all code categoriesNot measured1154Only Nemotron 3.5 Super VL measured
LiveBench designNot measured60.7%Only Nemotron 3.5 Super VL measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Gemini 3.5 Flash Lite and Nemotron 3.5 Super VL
BenchmarkGemini 3.5 Flash LiteNemotron 3.5 Super VLLeader
LiveBench data analysisNot measured64.6%Only Nemotron 3.5 Super VL measured
Public Benefits Bench (Vals AI)51.8%Not measuredOnly Gemini 3.5 Flash Lite measured
SAGE (Vals AI)47.3%Not measuredOnly Gemini 3.5 Flash Lite measured
MedScribe (Vals AI)70.9%Not measuredOnly Gemini 3.5 Flash Lite measured
Long context reasoning (AA-LCR)76.0%69.0%Gemini 3.5 Flash Lite
DTBench83.5%Not measuredOnly Gemini 3.5 Flash Lite measured
LMCA37.6%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text1435Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: instruction following1419Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: creative writing1421Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision1269Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: English1438Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: non-English1427Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Chinese1468Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: German1454Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Japanese1426Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Korean1407Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: French1451Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Spanish1441Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Russian1443Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Polish1437Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: multi-turn1445Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: longer queries1435Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: writing and language1428Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: entertainment and media1414Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: English1269Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: Chinese1311Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: reading text1280Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: humor1287Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: creative writing1260Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.5 Flash Lite and Nemotron 3.5 Super VL
BenchmarkGemini 3.5 Flash LiteNemotron 3.5 Super VLLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 3.5 Flash Lite$0.0015Fits in one request
Nemotron 3.5 Super VL$0.0004Fits in one request

Nemotron 3.5 Super VL costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash Lite$0.022Fits in one request
Nemotron 3.5 Super VL$0.0090Fits in one request

Nemotron 3.5 Super VL costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash Lite$0.085Fits in one request
Nemotron 3.5 Super VL$0.035Fits in one request

Nemotron 3.5 Super VL costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 3.5 Flash Lite and Nemotron 3.5 Super VL
SpecificationGoogle Gemini 3.5 Flash LiteNVIDIA Nemotron 3.5 Super VL
MakerGoogleNVIDIA
WeightsNo public weights listedOpen weights
ReleasedJuly 21, 2026October 15, 2026
Context window1.05M1.05M
Input $/Mtok$0.30$0.15
Output $/Mtok$2.50$0.50
Coding index49.0Not benchmarked
Independent measurements behind it31
Cost per solved task$0.41Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash Lite better than Nemotron 3.5 Super VL for coding?

Only Gemini 3.5 Flash Lite has a coding score, 49.0 on the Vibe Coding Index; Nemotron 3.5 Super VL has none, so the two cannot be ranked on coding. Pick Nemotron 3.5 Super VL for output tokens 5.0x cheaper ($0.50 vs $2.50 per million) and work measured by SciCode or AA Intelligence Index, where it leads.

Which is cheaper, Gemini 3.5 Flash Lite or Nemotron 3.5 Super VL?

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Nemotron 3.5 Super VL costs $0.15 and $0.50. Cost per solved task is known for Gemini 3.5 Flash Lite only.

Which has the bigger context window, Gemini 3.5 Flash Lite or Nemotron 3.5 Super VL?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.5 Flash Lite vs Nemotron 3.5 Super VL comparison based on?

4 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 independent benchmarks and Nemotron 3.5 Super VL's on 1. Where only one model has a result, the page says so instead of naming a winner.

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