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Claude Opus 4.8 vs Nemotron 3 Ultra

Claude Opus 4.8 leads Nemotron 3 Ultra on coding, 65.0 to 30.0 on the Vibe Coding Index, and Nemotron 3 Ultra costs 10.4x less per output token ($2.40 vs $25.00 per million). Updated October 22, 2026; 71 benchmarks have a result for both.

Replace Claude Opus 4.8 Replace Nemotron 3 Ultra
Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
69
Nemotron 3 UltraNVIDIA
Coding
30.0
Overall
53.1
Output $/M
$2.40
2
vs boards won of 71 shared

Claude Opus 4.8 or Nemotron 3 Ultra: which to pick

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra.

Pick Nemotron 3 Ultra for output tokens 10.4x cheaper ($2.40 vs $25.00 per million) and work measured by IFBench or Long context reasoning (AA-LCR), where it leads.

Model AClaude Opus 4.8Anthropic65.0/1006 independent benchmarks$2.17 per solved taskModel BNemotron 3 UltraNVIDIA30.0/1003 independent benchmarksNo cost per solved task
Shared results
71
Claude Opus 4.8 only
65
Nemotron 3 Ultra only
0
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.

At a glance

Coding index
Claude Opus 4.8 65.0 from 6 benchmarks, Nemotron 3 Ultra 30.0 from 3 benchmarks.
Widest category
Coding, 24.5 points apart on average over 13 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.8 82.7% against Nemotron 3 Ultra 7.6%, 75.1 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against Nemotron 3 Ultra $2.40 per million output tokens, 10.4x apart.
Context window
Claude Opus 4.8 takes 1M 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
CategoryClaude Opus 4.8BarsNemotron 3 UltraTies
Coding130
Intelligence20
Agentic work70
Reasoning80
Math40
Knowledge90
Web design80
General182
All shared boards692
CodingLike-for-likeSix of these boards feed the Vibe Coding Index130
Coding benchmarks for Claude Opus 4.8 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.8Nemotron 3 UltraLeader
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev1556Not measuredOnly Claude Opus 4.8 measured
AA Coding Index74.349.3Claude Opus 4.8
LiveCodeBench (Vals AI)87.8%86.0%Claude Opus 4.8
SWE-bench Verified (Vals AI)88.6%69.0%Claude Opus 4.8
Terminal-Bench 4 (Vals AI)23.2%Not measuredOnly Claude Opus 4.8 measured
Vibe Code Bench (Vals AI)82.7%7.6%Claude Opus 4.8
Code migration (Vals AI)47.3%4.9%Claude Opus 4.8
ProgramBench (Vals AI)1.0%0.0%Claude Opus 4.8
Terminal-Bench 2.1 (Vals AI)71.9%50.9%Claude Opus 4.8
SkillsBench (Vals AI)59.2%Not measuredOnly Claude Opus 4.8 measured
SciCode54.4%40.3%Claude Opus 4.8
Terminal-Bench Hard (Artificial Analysis run)58.3%36.4%Claude Opus 4.8
FrontierCode46.5%13.6%Claude Opus 4.8
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%43.5%Claude Opus 4.8
LMArena Text: coding14901468Claude Opus 4.8
LMArena Text: software and IT14881468Claude Opus 4.8
LMArena WebDev: React1557Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev: HTML1543Not measuredOnly Claude Opus 4.8 measured
SciCode12.3%Not measuredOnly Claude Opus 4.8 measured
SWE Atlas: Codebase QnA57.3%Not measuredOnly Claude Opus 4.8 measured
SWE Atlas: Refactoring46.7%Not measuredOnly Claude Opus 4.8 measured
SWE Atlas: Test Writing49.6%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.8 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.8Nemotron 3 UltraLeader
AA Intelligence Index41.822.9Claude Opus 4.8
Epoch Capabilities Index159.0146.0Claude Opus 4.8
Agentic workLike-for-likePublic boards, shown as published, kept out of the index70
Agentic work benchmarks for Claude Opus 4.8 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.8Nemotron 3 UltraLeader
AA Agentic Index41.920.1Claude Opus 4.8
Design Arena: agents building web apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building full-stack apps1249Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building mobile apps1222Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Android apps1231Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Godot games1231Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building games1238Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1160Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides1201Not measuredOnly Claude Opus 4.8 measured
Design Arena: spreadsheets1314Not measuredOnly Claude Opus 4.8 measured
LiveBench research81.8%Not measuredOnly Claude Opus 4.8 measured
LiveBench browser96.0%Not measuredOnly Claude Opus 4.8 measured
LiveBench long agentic48.3%Not measuredOnly Claude Opus 4.8 measured
Finance Agent (Vals AI)53.9%37.7%Claude Opus 4.8
Tax Agent Bench (Vals AI)30.0%Not measuredOnly Claude Opus 4.8 measured
Legal Research Bench (Vals AI)43.8%15.4%Claude Opus 4.8
Excel Modeling Benchmark (Vals AI)69.4%31.7%Claude Opus 4.8
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Claude Opus 4.8 measured
Time Horizon Index (Vals AI)11.8%Not measuredOnly Claude Opus 4.8 measured
τ²-Bench Telecom94.4%83.3%Claude Opus 4.8
APEX-Agents48.9%22.7%Claude Opus 4.8
Remote Labor Index8.3%Not measuredOnly Claude Opus 4.8 measured
OSWorld 2.020.6%Not measuredOnly Claude Opus 4.8 measured
DeepResearch Bench50.2%Not measuredOnly Claude Opus 4.8 measured
PostTrainBench33.8%Not measuredOnly Claude Opus 4.8 measured
Vending-Bench 2$5,787Not measuredOnly Claude Opus 4.8 measured
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
MCP Atlas82.2%63.1%Claude Opus 4.8
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Claude Opus 4.8 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.8Nemotron 3 UltraLeader
GPQA Diamond92.4%86.1%Claude Opus 4.8
LiveBench reasoning89.2%Not measuredOnly Claude Opus 4.8 measured
MMMU Pro (Vals AI)86.6%Not measuredOnly Claude Opus 4.8 measured
GPQA Diamond (Artificial Analysis run)92.0%86.7%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%28.4%Claude Opus 4.8
GPQA Diamond (Epoch AI run)91.0%85.4%Claude Opus 4.8
ARC-AGI92.5%Not measuredOnly Claude Opus 4.8 measured
ARC-AGI-272.1%Not measuredOnly Claude Opus 4.8 measured
SimpleBench64.8%Not measuredOnly Claude Opus 4.8 measured
Chess puzzles52.0%Not measuredOnly Claude Opus 4.8 measured
Mystery game puzzles36.0%20.0%Claude Opus 4.8
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts14821452Claude Opus 4.8
LMArena Text: expert15031472Claude Opus 4.8
LMArena Text: hard prompts in English14871453Claude Opus 4.8
LMArena Vision: diagrams1315Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.8 measured
Kagi LLM Benchmark88.8%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Opus 4.8 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.8Nemotron 3 UltraLeader
OTIS Mock AIME98.3%86.7%Claude Opus 4.8
FrontierMath, tiers 1 to 380.0%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tier 456.1%Not measuredOnly Claude Opus 4.8 measured
ProofBench69.0%2.0%Claude Opus 4.8
LMArena Text: math14861457Claude Opus 4.8
LMArena Text: mathematical work14971461Claude Opus 4.8
MathArena39.8%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Claude Opus 4.8 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.8Nemotron 3 UltraLeader
MMLU Pro89.6%85.8%Claude Opus 4.8
LegalBench (Vals AI)83.6%82.1%Claude Opus 4.8
CorpFin (Vals AI)66.7%65.5%Claude Opus 4.8
TaxEval (Vals AI)75.6%73.1%Claude Opus 4.8
MortgageTax (Vals AI)69.9%Not measuredOnly Claude Opus 4.8 measured
MedCode (Vals AI)53.2%38.6%Claude Opus 4.8
SimpleQA Verified53.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: science14771465Claude Opus 4.8
LMArena Text: medicine and healthcare14641456Claude Opus 4.8
LMArena Text: legal and government14771452Claude Opus 4.8
LMArena Text: business and finance14581434Claude Opus 4.8
FACTS Benchmark Suite53.5%Not measuredOnly Claude Opus 4.8 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 Claude Opus 4.8 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.8Nemotron 3 UltraLeader
Design Arena: websites12581145Claude Opus 4.8
Design Arena: UI components12551135Claude Opus 4.8
Design Arena: game dev12641138Claude Opus 4.8
Design Arena: data viz12401141Claude Opus 4.8
Design Arena: 3D12221131Claude Opus 4.8
Design Arena: all code categories12551146Claude Opus 4.8
Design Arena: SVG11941069Claude Opus 4.8
Design Arena: ASCII art12771100Claude Opus 4.8
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index182
General benchmarks for Claude Opus 4.8 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.8Nemotron 3 UltraLeader
LiveBench data analysis66.0%Not measuredOnly Claude Opus 4.8 measured
Public Benefits Bench (Vals AI)68.1%Not measuredOnly Claude Opus 4.8 measured
SAGE (Vals AI)54.8%Not measuredOnly Claude Opus 4.8 measured
MedScribe (Vals AI)85.8%Not measuredOnly Claude Opus 4.8 measured
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%81.4%Nemotron 3 Ultra
Long context reasoning (AA-LCR)77.7%79.3%Nemotron 3 Ultra
DTBench94.9%90.1%Claude Opus 4.8
LMCA57.5%36.9%Claude Opus 4.8
Surface Evolver Bench87.5%Not measuredOnly Claude Opus 4.8 measured
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
LMArena Text14611445Claude Opus 4.8
LMArena Text: instruction following14761418Claude Opus 4.8
LMArena Text: creative writing14541399Claude Opus 4.8
LMArena Vision1294Not measuredOnly Claude Opus 4.8 measured
LMArena Text: English14681455Claude Opus 4.8
LMArena Text: non-English14501427Claude Opus 4.8
LMArena Text: Chinese15061497Claude Opus 4.8
LMArena Text: German14721472Claude Opus 4.8
LMArena Text: Japanese1442Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Korean14311384Claude Opus 4.8
LMArena Text: French14811472Claude Opus 4.8
LMArena Text: Spanish14651455Claude Opus 4.8
LMArena Text: Russian14741417Claude Opus 4.8
LMArena Text: Polish14591385Claude Opus 4.8
LMArena Text: multi-turn14761411Claude Opus 4.8
LMArena Text: longer queries14831437Claude Opus 4.8
LMArena Text: writing and language14611406Claude Opus 4.8
LMArena Text: entertainment and media14401397Claude Opus 4.8
LMArena Vision: English1293Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: Chinese1346Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: reading text1303Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: humor1282Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: creative writing1301Not measuredOnly Claude Opus 4.8 measured
LMArena Document1475Not measuredOnly Claude Opus 4.8 measured
EQ-Bench 41281Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.8 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.8Nemotron 3 UltraLeader
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

Claude Opus 4.8$0.018Fits in one request
Nemotron 3 Ultra$0.0018Fits in one request

Nemotron 3 Ultra costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.8$0.325Fits in one request
Nemotron 3 Ultra$0.037Fits in one request

Nemotron 3 Ultra costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.8$1.25Fits 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 Claude Opus 4.8 and Nemotron 3 Ultra
SpecificationAnthropic Claude Opus 4.8NVIDIA Nemotron 3 Ultra
MakerAnthropicNVIDIA
WeightsNo public weights listedOpen weights
ReleasedMay 27, 2026June 4, 2026
Context window1M262K
Input $/Mtok$5.00$0.60
Output $/Mtok$25.00$2.40
Coding index65.030.0
Independent measurements behind it63
Cost per solved task$2.17Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than Nemotron 3 Ultra for coding?

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra. Pick Nemotron 3 Ultra for output tokens 10.4x cheaper ($2.40 vs $25.00 per million) and work measured by IFBench or Long context reasoning (AA-LCR), where it leads.

Which is cheaper, Claude Opus 4.8 or Nemotron 3 Ultra?

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; Nemotron 3 Ultra costs $0.60 and $2.40. Cost per solved task is known for Claude Opus 4.8 only.

Which has the bigger context window, Claude Opus 4.8 or Nemotron 3 Ultra?

Claude Opus 4.8, with 1M tokens against 262K.

How many benchmarks is the Claude Opus 4.8 vs Nemotron 3 Ultra comparison based on?

71 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.8'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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