Nemotron 3 Ultra vs Qwen3.8 Max (0902)

Qwen3.8 Max (0902) leads Nemotron 3 Ultra on coding, 67.1 to 30.0 on the Vibe Coding Index, and Nemotron 3 Ultra costs 2.5x less per output token ($2.40 vs $6.00 per million). Updated October 23, 2026; 64 benchmarks have a result for both.

Replace Nemotron 3 Ultra Replace Qwen3.8 Max (0902)

Nemotron 3 UltraNVIDIA

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

Qwen3.8 Max (0902)Qwen

Coding: 67.1
Overall: 70.1
Output $/M: $6.00

vs boards won of 64 shared, 1 tied

Nemotron 3 Ultra or Qwen3.8 Max (0902): which to pick

Pick Qwen3.8 Max (0902) for coding: it scores 67.1 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra.

Pick Nemotron 3 Ultra for output tokens 2.5x cheaper ($2.40 vs $6.00 per million).

Model ANemotron 3 UltraNVIDIA30.0/1003 independent benchmarksNo cost per solved task Model BQwen3.8 Max (0902)Qwen67.1/1005 independent benchmarks$1.32 per solved task

64752

Shared results: 64
Nemotron 3 Ultra only: 7
Qwen3.8 Max (0902) only: 52
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
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) scores 67.1 against 30.0.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 45.4 against 22.9.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 56.0 against 20.1.
Same board, both measured
Reasoning
GPQA Diamond
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 93.7% against 86.1%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 88.6% against 85.8%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) leads, 1276 against 1145.
Same board, both measured
General
Vals Index
No call
Only Qwen3.8 Max (0902) has a Vals Index result, 59.1%.
Directional only
Long documents
Listed context window
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3 Ultra
Nemotron 3 Ultra $0.0018, Qwen3.8 Max (0902) $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.8 Max (0902) has the number, $1.32.
Directional only

At a glance

Coding index: Nemotron 3 Ultra 30.0 from 3 benchmarks, Qwen3.8 Max (0902) 67.1 from 5 benchmarks.
Widest category: Agentic work, 33.8 points apart on average over 5 shared benchmarks.
Widest single gap: Vibe Code Bench (Vals AI): Nemotron 3 Ultra 7.6% against Qwen3.8 Max (0902) 77.1%, 69.5 points apart on a 0 to 100 scale.
Output price: Nemotron 3 Ultra $2.40 against Qwen3.8 Max (0902) $6.00 per million output tokens, 2.5x apart.
Context window: Nemotron 3 Ultra takes 262K tokens, Qwen3.8 Max (0902) 1M.

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	Qwen3.8 Max (0902)	Ties
Coding	9	1 tie
Intelligence	2
Agentic work	5
Reasoning	8
Math	4
Knowledge	9
Web design	7
General	19
All shared boards	63	1 tie

CodingLike-for-likeSix of these boards feed the Vibe Coding Index09

Coding benchmarks for Nemotron 3 Ultra and Qwen3.8 Max (0902)
Benchmark	Nemotron 3 Ultra	Qwen3.8 Max (0902)	Leader
LiveBench coding	Not measured	60.3%	Only Qwen3.8 Max (0902) measured
LMArena WebDev	Not measured	1673	Only Qwen3.8 Max (0902) measured
AA Coding Index	49.3	76.2	Qwen3.8 Max (0902)
LiveCodeBench (Vals AI)	86.0%	87.8%	Qwen3.8 Max (0902)
SWE-bench Verified (Vals AI)	69.0%	85.6%	Qwen3.8 Max (0902)
Terminal-Bench 4 (Vals AI)	Not measured	38.9%	Only Qwen3.8 Max (0902) measured
Vibe Code Bench (Vals AI)	7.6%	77.1%	Qwen3.8 Max (0902)
Code migration (Vals AI)	4.9%	24.0%	Qwen3.8 Max (0902)
ProgramBench (Vals AI)	0.0%	0.0%	Tie
IOI (Vals AI)	Not measured	68.9%	Only Qwen3.8 Max (0902) measured
Terminal-Bench 2.1 (Vals AI)	50.9%	67.4%	Qwen3.8 Max (0902)
SWE-bench Multimodal (Vals AI)	Not measured	42.5%	Only Qwen3.8 Max (0902) measured
Vibe Code Bench 1-100 (Vals AI)	Not measured	24.8%	Only Qwen3.8 Max (0902) measured
SkillsBench (Vals AI)	Not measured	42.0%	Only Qwen3.8 Max (0902) measured
CyberBench (Vals AI)	Not measured	28.6%	Only Qwen3.8 Max (0902) measured
SciCode	40.3%	53.2%	Qwen3.8 Max (0902)
Terminal-Bench Hard (Artificial Analysis run)	36.4%	Not measured	Only Nemotron 3 Ultra measured
FrontierCode	13.6%	Not measured	Only Nemotron 3 Ultra measured
FrontierSWE	Not measured	17.8%	Only Qwen3.8 Max (0902) measured
WeirdML	43.5%	Not measured	Only Nemotron 3 Ultra measured
LMArena Text: coding	1467	1503	Qwen3.8 Max (0902)
LMArena Text: software and IT	1468	1498	Qwen3.8 Max (0902)
LMArena WebDev: React	Not measured	1690	Only Qwen3.8 Max (0902) measured
LMArena WebDev: HTML	Not measured	1652	Only Qwen3.8 Max (0902) measured
LMArena WebDev: from an image	Not measured	1637	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 18 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02

Intelligence benchmarks for Nemotron 3 Ultra and Qwen3.8 Max (0902)
Benchmark	Nemotron 3 Ultra	Qwen3.8 Max (0902)	Leader
AA Intelligence Index	22.9	45.4	Qwen3.8 Max (0902)
Epoch Capabilities Index	146.0	157.4	Qwen3.8 Max (0902)

Agentic workLike-for-likePublic boards, shown as published, kept out of the index05

Agentic work benchmarks for Nemotron 3 Ultra and Qwen3.8 Max (0902)
Benchmark	Nemotron 3 Ultra	Qwen3.8 Max (0902)	Leader
AA Agentic Index	20.1	56.0	Qwen3.8 Max (0902)
Design Arena: agents building web apps	Not measured	1300	Only Qwen3.8 Max (0902) measured
Design Arena: agents building full-stack apps	Not measured	1305	Only Qwen3.8 Max (0902) measured
Design Arena: agents building mobile apps	Not measured	1224	Only Qwen3.8 Max (0902) measured
Design Arena: agents building Android apps	Not measured	1194	Only Qwen3.8 Max (0902) measured
Design Arena: agents building Godot games	Not measured	1234	Only Qwen3.8 Max (0902) measured
Design Arena: PowerPoint slides	Not measured	1226	Only Qwen3.8 Max (0902) measured
Design Arena: spreadsheets	Not measured	995	Only Qwen3.8 Max (0902) measured
LiveBench research	Not measured	69.9%	Only Qwen3.8 Max (0902) measured
LiveBench browser	Not measured	32.0%	Only Qwen3.8 Max (0902) measured
LiveBench long agentic	Not measured	42.3%	Only Qwen3.8 Max (0902) measured
Finance Agent (Vals AI)	37.7%	57.9%	Qwen3.8 Max (0902)
Tax Agent Bench (Vals AI)	Not measured	49.7%	Only Qwen3.8 Max (0902) measured
Legal Research Bench (Vals AI)	15.4%	47.6%	Qwen3.8 Max (0902)
Harvey's Legal Agent Benchmark (Vals AI)	Not measured	15.4%	Only Qwen3.8 Max (0902) measured
Excel Modeling Benchmark (Vals AI)	31.7%	72.0%	Qwen3.8 Max (0902)
Terminal-Bench-Science (Vals AI)	Not measured	12.9%	Only Qwen3.8 Max (0902) measured
τ²-Bench Telecom	83.3%	Not measured	Only Nemotron 3 Ultra measured
APEX-Agents	22.7%	63.3%	Qwen3.8 Max (0902)
LMArena Search	Not measured	1261	Only Qwen3.8 Max (0902) measured
MCP Atlas	63.1%	Not measured	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 index08

Reasoning benchmarks for Nemotron 3 Ultra and Qwen3.8 Max (0902)
Benchmark	Nemotron 3 Ultra	Qwen3.8 Max (0902)	Leader
GPQA Diamond	86.1%	93.7%	Qwen3.8 Max (0902)
LiveBench reasoning	Not measured	88.2%	Only Qwen3.8 Max (0902) measured
MysteryMechanism (Vals AI)	Not measured	23.9%	Only Qwen3.8 Max (0902) measured
MMMU Pro (Vals AI)	Not measured	88.0%	Only Qwen3.8 Max (0902) measured
GPQA Diamond (Artificial Analysis run)	86.7%	92.8%	Qwen3.8 Max (0902)
Humanity's Last Exam (Artificial Analysis run)	28.4%	43.1%	Qwen3.8 Max (0902)
GPQA Diamond (Epoch AI run)	85.4%	92.7%	Qwen3.8 Max (0902)
Chess puzzles	Not measured	46.0%	Only Qwen3.8 Max (0902) measured
Mystery game puzzles	20.0%	38.0%	Qwen3.8 Max (0902)
LMArena Text: hard prompts	1452	1497	Qwen3.8 Max (0902)
LMArena Text: expert	1472	1507	Qwen3.8 Max (0902)
LMArena Text: hard prompts in English	1453	1504	Qwen3.8 Max (0902)
LMArena Vision: diagrams	Not measured	1323	Only Qwen3.8 Max (0902) measured
LMArena Vision: homework	Not measured	1336	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 9 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index04

Math benchmarks for Nemotron 3 Ultra and Qwen3.8 Max (0902)
Benchmark	Nemotron 3 Ultra	Qwen3.8 Max (0902)	Leader
OTIS Mock AIME	86.7%	100.0%	Qwen3.8 Max (0902)
FrontierMath, tiers 1 to 3	Not measured	74.7%	Only Qwen3.8 Max (0902) measured
FrontierMath, tier 4	Not measured	46.3%	Only Qwen3.8 Max (0902) measured
ProofBench	2.0%	58.0%	Qwen3.8 Max (0902)
LMArena Text: math	1457	1501	Qwen3.8 Max (0902)
LMArena Text: mathematical work	1462	1491	Qwen3.8 Max (0902)
MathArena	Not measured	51.6%	Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09

Knowledge benchmarks for Nemotron 3 Ultra and Qwen3.8 Max (0902)
Benchmark	Nemotron 3 Ultra	Qwen3.8 Max (0902)	Leader
MMLU Pro	85.8%	88.6%	Qwen3.8 Max (0902)
LegalBench (Vals AI)	82.1%	83.6%	Qwen3.8 Max (0902)
CorpFin (Vals AI)	65.5%	65.8%	Qwen3.8 Max (0902)
TaxEval (Vals AI)	73.1%	75.5%	Qwen3.8 Max (0902)
MortgageTax (Vals AI)	Not measured	64.0%	Only Qwen3.8 Max (0902) measured
MedCode (Vals AI)	38.6%	40.7%	Qwen3.8 Max (0902)
SimpleQA Verified	Not measured	47.3%	Only Qwen3.8 Max (0902) measured
LMArena Text: science	1465	1512	Qwen3.8 Max (0902)
LMArena Text: medicine and healthcare	1455	1503	Qwen3.8 Max (0902)
LMArena Text: legal and government	1453	1494	Qwen3.8 Max (0902)
LMArena Text: business and finance	1435	1481	Qwen3.8 Max (0902)
Neither model has a result on the other 9 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index07

Web design benchmarks for Nemotron 3 Ultra and Qwen3.8 Max (0902)
Benchmark	Nemotron 3 Ultra	Qwen3.8 Max (0902)	Leader
Design Arena: websites	1145	1276	Qwen3.8 Max (0902)
Design Arena: UI components	1135	1336	Qwen3.8 Max (0902)
Design Arena: game dev	1138	1313	Qwen3.8 Max (0902)
Design Arena: data viz	1142	1282	Qwen3.8 Max (0902)
Design Arena: 3D	1132	1338	Qwen3.8 Max (0902)
Design Arena: all code categories	1146	1293	Qwen3.8 Max (0902)
Design Arena: SVG	1069	Not measured	Only Nemotron 3 Ultra measured
Design Arena: ASCII art	1100	1200	Qwen3.8 Max (0902)
LiveBench design	Not measured	78.6%	Only Qwen3.8 Max (0902) measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index019

General benchmarks for Nemotron 3 Ultra and Qwen3.8 Max (0902)
Benchmark	Nemotron 3 Ultra	Qwen3.8 Max (0902)	Leader
Vals Index	Not measured	59.1%	Only Qwen3.8 Max (0902) measured
LiveBench data analysis	Not measured	78.4%	Only Qwen3.8 Max (0902) measured
Public Benefits Bench (Vals AI)	Not measured	67.1%	Only Qwen3.8 Max (0902) measured
SAGE (Vals AI)	Not measured	51.2%	Only Qwen3.8 Max (0902) measured
MedScribe (Vals AI)	Not measured	85.0%	Only Qwen3.8 Max (0902) measured
Vals Multimodal Index	Not measured	65.4%	Only Qwen3.8 Max (0902) measured
IFBench	81.4%	Not measured	Only Nemotron 3 Ultra measured
Long context reasoning (AA-LCR)	79.3%	80.3%	Qwen3.8 Max (0902)
DTBench	90.1%	92.0%	Qwen3.8 Max (0902)
LMCA	36.9%	46.2%	Qwen3.8 Max (0902)
Furniture assembly	Not measured	20.0%	Only Qwen3.8 Max (0902) measured
LMArena Text	1445	1484	Qwen3.8 Max (0902)
LMArena Text: instruction following	1418	1481	Qwen3.8 Max (0902)
LMArena Text: creative writing	1398	1477	Qwen3.8 Max (0902)
LMArena Vision	Not measured	1313	Only Qwen3.8 Max (0902) measured
LMArena Text: English	1454	1492	Qwen3.8 Max (0902)
LMArena Text: non-English	1427	1473	Qwen3.8 Max (0902)
LMArena Text: Chinese	1498	1539	Qwen3.8 Max (0902)
LMArena Text: German	1474	1476	Qwen3.8 Max (0902)
LMArena Text: Japanese	Not measured	1473	Only Qwen3.8 Max (0902) measured
LMArena Text: Korean	1385	1462	Qwen3.8 Max (0902)
LMArena Text: French	1473	1502	Qwen3.8 Max (0902)
LMArena Text: Spanish	1454	1487	Qwen3.8 Max (0902)
LMArena Text: Russian	1417	1482	Qwen3.8 Max (0902)
LMArena Text: Polish	1385	1471	Qwen3.8 Max (0902)
LMArena Text: multi-turn	1411	1490	Qwen3.8 Max (0902)
LMArena Text: longer queries	1437	1489	Qwen3.8 Max (0902)
LMArena Text: writing and language	1405	1477	Qwen3.8 Max (0902)
LMArena Text: entertainment and media	1397	1464	Qwen3.8 Max (0902)
LMArena Vision: English	Not measured	1311	Only Qwen3.8 Max (0902) measured
LMArena Vision: Chinese	Not measured	1358	Only Qwen3.8 Max (0902) measured
LMArena Vision: reading text	Not measured	1322	Only Qwen3.8 Max (0902) measured
LMArena Vision: humor	Not measured	1304	Only Qwen3.8 Max (0902) measured
LMArena Vision: creative writing	Not measured	1312	Only Qwen3.8 Max (0902) 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 Nemotron 3 Ultra and Qwen3.8 Max (0902)
Benchmark	Nemotron 3 Ultra	Qwen3.8 Max (0902)	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

Nemotron 3 Ultra$0.0018Fits in one request

Qwen3.8 Max (0902)$0.0050Fits in one request

Nemotron 3 Ultra costs less

Repository review

50K input + 3K output tokens

Nemotron 3 Ultra$0.037Fits in one request

Qwen3.8 Max (0902)$0.118Fits in one request

Nemotron 3 Ultra costs less

Agent loop

200K input + 10K output tokens

Nemotron 3 Ultra$0.144Fits in one request

Qwen3.8 Max (0902)$0.460Fits 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 Nemotron 3 Ultra and Qwen3.8 Max (0902)
Specification	NVIDIA Nemotron 3 Ultra	Qwen3.8 Max (0902)
Maker	NVIDIA	Qwen
Weights	Open weights	No public weights listed
Released	June 4, 2026	September 3, 2026
Context window	262K	1M
Input $/Mtok	$0.60	$2.00
Output $/Mtok	$2.40	$6.00
Coding index	30.0	67.1
Independent measurements behind it	3	5
Cost per solved task	Not computable	$1.32
Source	OpenRouter listing	OpenRouter listing

Questions

Is Nemotron 3 Ultra better than Qwen3.8 Max (0902) for coding?

Pick Qwen3.8 Max (0902) for coding: it scores 67.1 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra. Pick Nemotron 3 Ultra for output tokens 2.5x cheaper ($2.40 vs $6.00 per million).

Which is cheaper, Nemotron 3 Ultra or Qwen3.8 Max (0902)?

Nemotron 3 Ultra costs $0.60 per million input tokens and $2.40 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Cost per solved task is known for Qwen3.8 Max (0902) only.

Which has the bigger context window, Nemotron 3 Ultra or Qwen3.8 Max (0902)?

Qwen3.8 Max (0902), with 1M tokens against 262K.

How many benchmarks is the Nemotron 3 Ultra vs Qwen3.8 Max (0902) comparison based on?

64 benchmarks have a result for both models as of October 23, 2026. Nemotron 3 Ultra's coding index rests on 3 independent benchmarks and Qwen3.8 Max (0902)'s on 5. 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/nvidia-nemotron-3-ultra-550b-a55b-vs-qwen3-8-max-0902" title="Nemotron 3 Ultra vs Qwen3.8 Max (0902), 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/nvidia-nemotron-3-ultra-550b-a55b-vs-qwen3-8-max-0902">LLMBenchmark.ai, Nemotron 3 Ultra vs Qwen3.8 Max (0902)</a></p>

Nemotron 3 Ultra or Qwen3.8 Max (0902): which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

General

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