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Gemini 2.5 Flash vs Nemotron 3.5 Super VL

Updated October 21, 2026. 8 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 FlashGoogle
Coding
28.7
Overall
15.5
Output $/M
$2.50
0
Nemotron 3.5 Super VLNVIDIA
Coding
65.5
Overall
26.5
Output $/M
$0.50
8
vs boards won of 8 shared

Decision reading

Gemini 2.5 Flash scores 28.7 and Nemotron 3.5 Super VL 65.5 on the Vibe Coding Index, but no coding benchmark measured both, so the gap is directional, not a ranking.

Pick Nemotron 3.5 Super VL when output tokens cost 5.0x less, or when what matters is AA Intelligence Index or Humanity's Last Exam (Artificial Analysis run), where it leads.

Shared results
8
Gemini 2.5 Flash only
61
Nemotron 3.5 Super VL only
8
Like-for-like categories
4 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 2.5 Flash 28.7 from 1 benchmark, Nemotron 3.5 Super VL 65.5 from 1 benchmark.
Widest category
Reasoning, 18.6 points apart on average over 1 shared benchmark.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Gemini 2.5 Flash 12.1% against Nemotron 3.5 Super VL 30.7%, 18.6 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $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 2.5 FlashBarsNemotron 3.5 Super VLTies
Intelligence01
Reasoning01
Web design05
General01
All shared boards08
CodingDirectional onlyFour of these boards feed the Vibe Coding Index8 boards, none shared
Coding benchmarks for Gemini 2.5 Flash and Nemotron 3.5 Super VL
BenchmarkGemini 2.5 FlashNemotron 3.5 Super VLLeader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
LiveBench codingNot measured65.5%Only Nemotron 3.5 Super VL measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly Gemini 2.5 Flash measured
SciCodeNot measured47.8%Only Nemotron 3.5 Super VL measured
Terminal-Bench Hard (Artificial Analysis run)13.6%Not measuredOnly Gemini 2.5 Flash measured
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: coding1423Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: software and IT1425Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 2.5 Flash and Nemotron 3.5 Super VL
BenchmarkGemini 2.5 FlashNemotron 3.5 Super VLLeader
AA Intelligence Index15.526.5Nemotron 3.5 Super VL
Epoch Capabilities Index142.9Not measuredOnly Gemini 2.5 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for Gemini 2.5 Flash and Nemotron 3.5 Super VL
BenchmarkGemini 2.5 FlashNemotron 3.5 Super VLLeader
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
τ²-Bench Telecom31.6%Not measuredOnly Gemini 2.5 Flash measured
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash 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 2.5 Flash and Nemotron 3.5 Super VL
BenchmarkGemini 2.5 FlashNemotron 3.5 Super VLLeader
LiveBench reasoningNot measured78.8%Only Nemotron 3.5 Super VL measured
GPQA Diamond (Artificial Analysis run)79.0%Not measuredOnly Gemini 2.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)12.1%30.7%Nemotron 3.5 Super VL
ARC-AGI33.3%Not measuredOnly Gemini 2.5 Flash measured
ARC-AGI-22.5%Not measuredOnly Gemini 2.5 Flash measured
SimpleBench41.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: hard prompts1422Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: expert1426Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: hard prompts in English1420Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: diagrams1245Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: homework1244Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 10 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Gemini 2.5 Flash and Nemotron 3.5 Super VL
BenchmarkGemini 2.5 FlashNemotron 3.5 Super VLLeader
AA Math Index73.3Not measuredOnly Gemini 2.5 Flash measured
AIME 2025 (Artificial Analysis run)73.3%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: math1411Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: mathematical work1422Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Knowledge benchmarks for Gemini 2.5 Flash and Nemotron 3.5 Super VL
BenchmarkGemini 2.5 FlashNemotron 3.5 Super VLLeader
MedCode (Vals AI)40.4%Not measuredOnly Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)83.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: science1433Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: medicine and healthcare1428Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: legal and government1430Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: business and finance1404Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for Gemini 2.5 Flash and Nemotron 3.5 Super VL
BenchmarkGemini 2.5 FlashNemotron 3.5 Super VLLeader
Design Arena: websites10741171Nemotron 3.5 Super VL
Design Arena: UI components10051148Nemotron 3.5 Super VL
Design Arena: game dev10051108Nemotron 3.5 Super VL
Design Arena: data viz1060Not measuredOnly Gemini 2.5 Flash measured
Design Arena: 3D10211132Nemotron 3.5 Super VL
Design Arena: all code categories10591155Nemotron 3.5 Super VL
Design Arena: SVG1018Not measuredOnly Gemini 2.5 Flash measured
LiveBench designNot measured60.7%Only Nemotron 3.5 Super VL measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Gemini 2.5 Flash and Nemotron 3.5 Super VL
BenchmarkGemini 2.5 FlashNemotron 3.5 Super VLLeader
LiveBench data analysisNot measured64.6%Only Nemotron 3.5 Super VL measured
SAGE (Vals AI)44.8%Not measuredOnly Gemini 2.5 Flash measured
MedScribe (Vals AI)83.0%Not measuredOnly Gemini 2.5 Flash measured
IFBench50.3%Not measuredOnly Gemini 2.5 Flash measured
Long context reasoning (AA-LCR)65.3%69.0%Nemotron 3.5 Super VL
DTBench76.5%Not measuredOnly Gemini 2.5 Flash measured
LMCA27.5%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text1417Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: instruction following1405Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: creative writing1400Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision1235Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: English1418Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: non-English1409Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Chinese1449Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: German1417Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Japanese1396Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Korean1385Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: French1432Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Spanish1422Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Russian1415Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Polish1413Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: multi-turn1408Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: longer queries1419Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: writing and language1405Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: entertainment and media1393Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: English1239Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: Chinese1284Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: reading text1237Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: humor1225Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: captioning1277Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: recognizing things1252Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: creative writing1241Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Flash and Nemotron 3.5 Super VL
BenchmarkGemini 2.5 FlashNemotron 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 2.5 Flash$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 2.5 Flash$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 2.5 Flash$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 2.5 Flash and Nemotron 3.5 Super VL
SpecificationGoogle Gemini 2.5 FlashNVIDIA Nemotron 3.5 Super VL
MakerGoogleNVIDIA
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025October 15, 2026
Context window1.05M1.05M
Input $/Mtok$0.30$0.15
Output $/Mtok$2.50$0.50
Coding index28.765.5
Independent measurements behind it11
Cost per solved task$0.466Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash better than Nemotron 3.5 Super VL for coding?

Gemini 2.5 Flash scores 28.7 and Nemotron 3.5 Super VL 65.5 on the Vibe Coding Index, but no coding benchmark measured both, so the gap is directional, not a ranking. Pick Nemotron 3.5 Super VL when output tokens cost 5.0x less, or when what matters is AA Intelligence Index or Humanity's Last Exam (Artificial Analysis run), where it leads.

Which is cheaper, Gemini 2.5 Flash or Nemotron 3.5 Super VL?

Gemini 2.5 Flash 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 2.5 Flash only.

Which has the bigger context window, Gemini 2.5 Flash or Nemotron 3.5 Super VL?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 2.5 Flash vs Nemotron 3.5 Super VL comparison based on?

8 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash's coding index rests on 1 independent benchmark 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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