Gemini 3.7 Flash vs Nemotron 3 Ultra

Gemini 3.7 Flash leads Nemotron 3 Ultra on coding, 58.0 to 30.0 on the Vibe Coding Index, and Nemotron 3 Ultra costs 1.6x less per output token ($2.40 vs $3.75 per million). Updated October 22, 2026; 64 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace Nemotron 3 Ultra

Gemini 3.7 FlashGoogle

Coding: 58.0
Overall: 65.7
Output $/M: $3.75

Nemotron 3 UltraNVIDIA

Coding: 30.0
Overall: 53.1
Output $/M: $2.40

vs boards won of 64 shared, 1 tied

Gemini 3.7 Flash or Nemotron 3 Ultra: which to pick

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra.

Pick Nemotron 3 Ultra for output tokens 1.6x cheaper ($2.40 vs $3.75 per million).

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved task Model BNemotron 3 UltraNVIDIA30.0/1003 independent benchmarksNo cost per solved task

64517

Shared results: 64
Gemini 3.7 Flash only: 51
Nemotron 3 Ultra only: 7
Like-for-like categories: 8 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.

Coding
Vibe Coding Index, six public coding benchmarks
Gemini 3.7 Flash
Gemini 3.7 Flash scores 58.0 against 30.0.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 39.6 against 22.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Nemotron 3 Ultra has a AA Agentic Index result, 20.1.
Directional only
Reasoning
GPQA Diamond
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 93.9% against 86.1%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 90.1% against 85.8%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 1303 against 1145.
Same board, both measured
Long documents
Listed context window
Gemini 3.7 Flash
Gemini 3.7 Flash takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3 Ultra
Gemini 3.7 Flash $0.0026, Nemotron 3 Ultra $0.0018 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.7 Flash has the number, $1.78.
Directional only

At a glance

Coding index: Gemini 3.7 Flash 58.0 from 6 benchmarks, Nemotron 3 Ultra 30.0 from 3 benchmarks.
Widest category: Agentic work, 31.3 points apart on average over 4 shared benchmarks.
Widest single gap: Vibe Code Bench (Vals AI): Gemini 3.7 Flash 70.4% against Nemotron 3 Ultra 7.6%, 62.8 points apart on a 0 to 100 scale.
Output price: Gemini 3.7 Flash $3.75 against Nemotron 3 Ultra $2.40 per million output tokens, 1.6x apart.
Context window: Gemini 3.7 Flash takes 1.05M tokens, Nemotron 3 Ultra 262K.

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
Category	Gemini 3.7 Flash	Ties
Coding	10	1 tie
Intelligence	2
Agentic work	4
Reasoning	8
Math	4
Knowledge	8
Web design	8
General	19
All shared boards	63	1 tie

CodingLike-for-likeSix of these boards feed the Vibe Coding Index100

Coding benchmarks for Gemini 3.7 Flash and Nemotron 3 Ultra
Benchmark	Gemini 3.7 Flash	Nemotron 3 Ultra	Leader
LiveBench coding	80.5%	Not measured	Only Gemini 3.7 Flash measured
LMArena WebDev	1591	Not measured	Only Gemini 3.7 Flash measured
AA Coding Index	71.5	49.3	Gemini 3.7 Flash
LiveCodeBench (Vals AI)	88.7%	86.0%	Gemini 3.7 Flash
SWE-bench Verified (Vals AI)	80.8%	69.0%	Gemini 3.7 Flash
Terminal-Bench 4 (Vals AI)	12.1%	Not measured	Only Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)	70.4%	7.6%	Gemini 3.7 Flash
Code migration (Vals AI)	34.8%	4.9%	Gemini 3.7 Flash
ProgramBench (Vals AI)	0.0%	0.0%	Tie
IOI (Vals AI)	67.8%	Not measured	Only Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)	77.5%	50.9%	Gemini 3.7 Flash
SkillsBench (Vals AI)	65.9%	Not measured	Only Gemini 3.7 Flash measured
CyberBench (Vals AI)	43.8%	Not measured	Only Gemini 3.7 Flash measured
SciCode	59.8%	40.3%	Gemini 3.7 Flash
Terminal-Bench Hard (Artificial Analysis run)	Not measured	36.4%	Only Nemotron 3 Ultra measured
FrontierCode	43.6%	13.6%	Gemini 3.7 Flash
FrontierSWE	20.3%	Not measured	Only Gemini 3.7 Flash measured
WeirdML	Not measured	43.5%	Only Nemotron 3 Ultra measured
ALE-Bench	904.3	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: coding	1499	1468	Gemini 3.7 Flash
LMArena Text: software and IT	1498	1468	Gemini 3.7 Flash
LMArena WebDev: React	1587	Not measured	Only Gemini 3.7 Flash measured
LMArena WebDev: HTML	1593	Not measured	Only Gemini 3.7 Flash measured
LMArena WebDev: from an image	1599	Not measured	Only Gemini 3.7 Flash measured
SciCode	13.8%	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 18 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20

Intelligence benchmarks for Gemini 3.7 Flash and Nemotron 3 Ultra
Benchmark	Gemini 3.7 Flash	Nemotron 3 Ultra	Leader
AA Intelligence Index	39.6	22.9	Gemini 3.7 Flash
Epoch Capabilities Index	158.0	146.0	Gemini 3.7 Flash

Agentic workLike-for-likePublic boards, shown as published, kept out of the index40

Agentic work benchmarks for Gemini 3.7 Flash and Nemotron 3 Ultra
Benchmark	Gemini 3.7 Flash	Nemotron 3 Ultra	Leader
AA Agentic Index	Not measured	20.1	Only Nemotron 3 Ultra measured
Design Arena: agents building web apps	1223	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building full-stack apps	1208	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building mobile apps	1230	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building Android apps	1242	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building Godot games	1264	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building games	1235	Not measured	Only Gemini 3.7 Flash measured
Design Arena: spreadsheets	1094	Not measured	Only Gemini 3.7 Flash measured
LiveBench research	76.5%	Not measured	Only Gemini 3.7 Flash measured
LiveBench browser	56.0%	Not measured	Only Gemini 3.7 Flash measured
LiveBench long agentic	28.3%	Not measured	Only Gemini 3.7 Flash measured
SREBench (Vals AI)	4.6%	Not measured	Only Gemini 3.7 Flash measured
Finance Agent (Vals AI)	59.0%	37.7%	Gemini 3.7 Flash
Tax Agent Bench (Vals AI)	22.8%	Not measured	Only Gemini 3.7 Flash measured
Legal Research Bench (Vals AI)	34.6%	15.4%	Gemini 3.7 Flash
Excel Modeling Benchmark (Vals AI)	71.3%	31.7%	Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)	7.1%	Not measured	Only Gemini 3.7 Flash measured
τ²-Bench Telecom	Not measured	83.3%	Only Nemotron 3 Ultra measured
APEX-Agents	67.8%	22.7%	Gemini 3.7 Flash
Remote Labor Index	5.0%	Not measured	Only Gemini 3.7 Flash measured
MCP Atlas	Not measured	63.1%	Only Nemotron 3 Ultra measured
Neither model has a result on the other 21 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index80

Reasoning benchmarks for Gemini 3.7 Flash and Nemotron 3 Ultra
Benchmark	Gemini 3.7 Flash	Nemotron 3 Ultra	Leader
GPQA Diamond	93.9%	86.1%	Gemini 3.7 Flash
LiveBench reasoning	87.8%	Not measured	Only Gemini 3.7 Flash measured
MMMU Pro (Vals AI)	89.0%	Not measured	Only Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)	94.5%	86.7%	Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)	47.9%	28.4%	Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)	94.8%	85.4%	Gemini 3.7 Flash
ARC-AGI	95.5%	Not measured	Only Gemini 3.7 Flash measured
ARC-AGI-2	84.6%	Not measured	Only Gemini 3.7 Flash measured
Chess puzzles	66.0%	Not measured	Only Gemini 3.7 Flash measured
Mystery game puzzles	37.0%	20.0%	Gemini 3.7 Flash
LMArena Text: hard prompts	1495	1452	Gemini 3.7 Flash
LMArena Text: expert	1512	1472	Gemini 3.7 Flash
LMArena Text: hard prompts in English	1487	1453	Gemini 3.7 Flash
LMArena Vision: diagrams	1329	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: homework	1320	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 8 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index40

Math benchmarks for Gemini 3.7 Flash and Nemotron 3 Ultra
Benchmark	Gemini 3.7 Flash	Nemotron 3 Ultra	Leader
OTIS Mock AIME	97.2%	86.7%	Gemini 3.7 Flash
FrontierMath, tiers 1 to 3	71.6%	Not measured	Only Gemini 3.7 Flash measured
FrontierMath, tier 4	36.6%	Not measured	Only Gemini 3.7 Flash measured
ProofBench	58.0%	2.0%	Gemini 3.7 Flash
LMArena Text: math	1511	1457	Gemini 3.7 Flash
LMArena Text: mathematical work	1502	1461	Gemini 3.7 Flash
MathArena	25.9%	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80

Knowledge benchmarks for Gemini 3.7 Flash and Nemotron 3 Ultra
Benchmark	Gemini 3.7 Flash	Nemotron 3 Ultra	Leader
MMLU Pro	90.1%	85.8%	Gemini 3.7 Flash
LegalBench (Vals AI)	87.3%	82.1%	Gemini 3.7 Flash
CorpFin (Vals AI)	Not measured	65.5%	Only Nemotron 3 Ultra measured
TaxEval (Vals AI)	74.7%	73.1%	Gemini 3.7 Flash
MortgageTax (Vals AI)	66.7%	Not measured	Only Gemini 3.7 Flash measured
MedCode (Vals AI)	53.4%	38.6%	Gemini 3.7 Flash
SimpleQA Verified	69.2%	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: science	1511	1465	Gemini 3.7 Flash
LMArena Text: medicine and healthcare	1494	1456	Gemini 3.7 Flash
LMArena Text: legal and government	1496	1452	Gemini 3.7 Flash
LMArena Text: business and finance	1479	1434	Gemini 3.7 Flash
FACTS Benchmark Suite	71.2%	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 8 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index80

Web design benchmarks for Gemini 3.7 Flash and Nemotron 3 Ultra
Benchmark	Gemini 3.7 Flash	Nemotron 3 Ultra	Leader
Design Arena: websites	1303	1145	Gemini 3.7 Flash
Design Arena: UI components	1295	1135	Gemini 3.7 Flash
Design Arena: game dev	1317	1138	Gemini 3.7 Flash
Design Arena: data viz	1315	1141	Gemini 3.7 Flash
Design Arena: 3D	1306	1131	Gemini 3.7 Flash
Design Arena: all code categories	1307	1146	Gemini 3.7 Flash
Design Arena: SVG	1284	1069	Gemini 3.7 Flash
Design Arena: ASCII art	1278	1100	Gemini 3.7 Flash
LiveBench design	73.2%	Not measured	Only Gemini 3.7 Flash measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index190

General benchmarks for Gemini 3.7 Flash and Nemotron 3 Ultra
Benchmark	Gemini 3.7 Flash	Nemotron 3 Ultra	Leader
LiveBench data analysis	68.0%	Not measured	Only Gemini 3.7 Flash measured
SAGE (Vals AI)	49.2%	Not measured	Only Gemini 3.7 Flash measured
MedScribe (Vals AI)	83.9%	Not measured	Only Gemini 3.7 Flash measured
IFBench	Not measured	81.4%	Only Nemotron 3 Ultra measured
Long context reasoning (AA-LCR)	83.0%	79.3%	Gemini 3.7 Flash
DTBench	96.8%	90.1%	Gemini 3.7 Flash
LMCA	50.4%	36.9%	Gemini 3.7 Flash
Furniture assembly	26.7%	Not measured	Only Gemini 3.7 Flash measured
LMArena Text	1489	1445	Gemini 3.7 Flash
LMArena Text: instruction following	1484	1418	Gemini 3.7 Flash
LMArena Text: creative writing	1488	1399	Gemini 3.7 Flash
LMArena Vision	1314	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: English	1483	1455	Gemini 3.7 Flash
LMArena Text: non-English	1487	1427	Gemini 3.7 Flash
LMArena Text: Chinese	1552	1497	Gemini 3.7 Flash
LMArena Text: German	1506	1472	Gemini 3.7 Flash
LMArena Text: Japanese	1511	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: Korean	1481	1384	Gemini 3.7 Flash
LMArena Text: French	1500	1472	Gemini 3.7 Flash
LMArena Text: Spanish	1495	1455	Gemini 3.7 Flash
LMArena Text: Russian	1515	1417	Gemini 3.7 Flash
LMArena Text: Polish	1503	1385	Gemini 3.7 Flash
LMArena Text: multi-turn	1485	1411	Gemini 3.7 Flash
LMArena Text: longer queries	1492	1437	Gemini 3.7 Flash
LMArena Text: writing and language	1491	1406	Gemini 3.7 Flash
LMArena Text: entertainment and media	1477	1397	Gemini 3.7 Flash
LMArena Vision: English	1309	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: Chinese	1394	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: reading text	1322	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: humor	1299	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: creative writing	1312	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 17 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Gemini 3.7 Flash and Nemotron 3 Ultra
Benchmark	Gemini 3.7 Flash	Nemotron 3 Ultra	Leader
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 3.7 Flash$0.0026Fits in one request

Nemotron 3 Ultra$0.0018Fits in one request

Nemotron 3 Ultra costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request

Nemotron 3 Ultra$0.037Fits in one request

Nemotron 3 Ultra costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request

Nemotron 3 Ultra$0.144Fits in one request

Nemotron 3 Ultra 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 3.7 Flash and Nemotron 3 Ultra
Specification	Google Gemini 3.7 Flash	NVIDIA Nemotron 3 Ultra
Maker	Google	NVIDIA
Weights	No public weights listed	Open weights
Released	August 13, 2026	June 4, 2026
Context window	1.05M	262K
Input $/Mtok	$0.75	$0.60
Output $/Mtok	$3.75	$2.40
Coding index	58.0	30.0
Independent measurements behind it	6	3
Cost per solved task	$1.78	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.7 Flash better than Nemotron 3 Ultra for coding?

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra. Pick Nemotron 3 Ultra for output tokens 1.6x cheaper ($2.40 vs $3.75 per million).

Which is cheaper, Gemini 3.7 Flash or Nemotron 3 Ultra?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Nemotron 3 Ultra costs $0.60 and $2.40. Cost per solved task is known for Gemini 3.7 Flash only.

Which has the bigger context window, Gemini 3.7 Flash or Nemotron 3 Ultra?

Gemini 3.7 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 3.7 Flash vs Nemotron 3 Ultra comparison based on?

64 benchmarks have a result for both models as of October 22, 2026. Gemini 3.7 Flash's coding index rests on 6 independent benchmarks and Nemotron 3 Ultra's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-7-flash-vs-nvidia-nemotron-3-ultra-550b-a55b" title="Gemini 3.7 Flash vs Nemotron 3 Ultra, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-7-flash-vs-nvidia-nemotron-3-ultra-550b-a55b">LLMBenchmark.ai, Gemini 3.7 Flash vs Nemotron 3 Ultra</a></p>

Gemini 3.7 Flash or Nemotron 3 Ultra: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next