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Claude Opus 4.7 vs Nemotron 3 Ultra

Claude Opus 4.7 leads Nemotron 3 Ultra on coding, 67.5 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; 62 benchmarks have a result for both.

Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
58
Nemotron 3 UltraNVIDIA
Coding
30.0
Overall
53.1
Output $/M
$2.40
3
vs boards won of 62 shared, 1 tied

Claude Opus 4.7 or Nemotron 3 Ultra: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 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 LiveCodeBench (Vals AI) or IFBench, where it leads.

Shared results
62
Claude Opus 4.7 only
47
Nemotron 3 Ultra only
9
Like-for-like categories
7 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 4.7 67.5 from 4 benchmarks, Nemotron 3 Ultra 30.0 from 3 benchmarks.
Widest category
Coding, 22.0 points apart on average over 12 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.7 71.0% against Nemotron 3 Ultra 7.6%, 63.4 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Nemotron 3 Ultra $2.40 per million output tokens, 10.4x apart.
Context window
Claude Opus 4.7 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 4.7BarsNemotron 3 UltraTies
Coding1011 tie
Intelligence20
Agentic work70
Reasoning80
Math40
Knowledge90
General182
All shared boards5831 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index101
Coding benchmarks for Claude Opus 4.7 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.7Nemotron 3 UltraLeader
LMArena WebDev1558Not measuredOnly Claude Opus 4.7 measured
AA Coding Index73.649.3Claude Opus 4.7
LiveCodeBench (Vals AI)85.1%86.0%Nemotron 3 Ultra
SWE-bench Verified (Vals AI)82.0%69.0%Claude Opus 4.7
Vibe Code Bench (Vals AI)71.0%7.6%Claude Opus 4.7
Code migration (Vals AI)43.9%4.9%Claude Opus 4.7
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)68.5%50.9%Claude Opus 4.7
SciCodeNot measured40.3%Only Nemotron 3 Ultra measured
Terminal-Bench Hard (Artificial Analysis run)54.5%36.4%Claude Opus 4.7
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%13.6%Claude Opus 4.7
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%43.5%Claude Opus 4.7
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: coding15191468Claude Opus 4.7
LMArena Text: software and IT15161468Claude Opus 4.7
LMArena WebDev: React1560Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: HTML1554Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: from an image1577Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Codebase QnA40.3%Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Refactoring48.6%Not measuredOnly Claude Opus 4.7 measured
SWE Atlas: Test Writing38.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.7 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.7Nemotron 3 UltraLeader
AA Intelligence Index40.722.9Claude Opus 4.7
Epoch Capabilities Index156.8146.0Claude Opus 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index70
Agentic work benchmarks for Claude Opus 4.7 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.7Nemotron 3 UltraLeader
AA Agentic Index38.620.1Claude Opus 4.7
Finance Agent (Vals AI)51.5%37.7%Claude Opus 4.7
Tax Agent Bench (Vals AI)23.7%Not measuredOnly Claude Opus 4.7 measured
Legal Research Bench (Vals AI)38.5%15.4%Claude Opus 4.7
Excel Modeling Benchmark (Vals AI)63.7%31.7%Claude Opus 4.7
τ²-Bench Telecom88.6%83.3%Claude Opus 4.7
APEX-Agents49.2%22.7%Claude Opus 4.7
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
MCP Atlas79.1%63.1%Claude Opus 4.7
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Claude Opus 4.7 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.7Nemotron 3 UltraLeader
GPQA Diamond90.2%86.1%Claude Opus 4.7
MMMU Pro (Vals AI)85.5%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)91.4%86.7%Claude Opus 4.7
Humanity's Last Exam (Artificial Analysis run)42.3%28.4%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%85.4%Claude Opus 4.7
ARC-AGI93.5%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI-275.8%Not measuredOnly Claude Opus 4.7 measured
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%Not measuredOnly Claude Opus 4.7 measured
Mystery game puzzles28.0%20.0%Claude Opus 4.7
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061452Claude Opus 4.7
LMArena Text: expert15211472Claude Opus 4.7
LMArena Text: hard prompts in English15081453Claude Opus 4.7
LMArena Vision: diagrams1336Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.7 measured
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Opus 4.7 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.7Nemotron 3 UltraLeader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%86.7%Claude Opus 4.7
FrontierMath, tiers 1 to 370.2%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tier 431.7%Not measuredOnly Claude Opus 4.7 measured
ProofBench54.0%2.0%Claude Opus 4.7
LMArena Text: math14981457Claude Opus 4.7
LMArena Text: mathematical work15091461Claude Opus 4.7
MathArena20.4%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Claude Opus 4.7 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.7Nemotron 3 UltraLeader
MMLU Pro89.9%85.8%Claude Opus 4.7
LegalBench (Vals AI)85.3%82.1%Claude Opus 4.7
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%65.5%Claude Opus 4.7
TaxEval (Vals AI)75.3%73.1%Claude Opus 4.7
MortgageTax (Vals AI)70.3%Not measuredOnly Claude Opus 4.7 measured
MedCode (Vals AI)54.9%38.6%Claude Opus 4.7
SimpleQA Verified51.7%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: science15081465Claude Opus 4.7
LMArena Text: medicine and healthcare14951456Claude Opus 4.7
LMArena Text: legal and government15041452Claude Opus 4.7
LMArena Text: business and finance14901434Claude Opus 4.7
FACTS Benchmark Suite45.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.7 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.7Nemotron 3 UltraLeader
Design Arena: websitesNot measured1145Only Nemotron 3 Ultra measured
Design Arena: UI componentsNot measured1135Only Nemotron 3 Ultra measured
Design Arena: game devNot measured1138Only Nemotron 3 Ultra measured
Design Arena: data vizNot measured1141Only Nemotron 3 Ultra measured
Design Arena: 3DNot measured1131Only Nemotron 3 Ultra measured
Design Arena: all code categoriesNot measured1146Only Nemotron 3 Ultra measured
Design Arena: SVGNot measured1069Only Nemotron 3 Ultra measured
Design Arena: ASCII artNot measured1100Only Nemotron 3 Ultra measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index182
General benchmarks for Claude Opus 4.7 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.7Nemotron 3 UltraLeader
SAGE (Vals AI)56.1%Not measuredOnly Claude Opus 4.7 measured
MedScribe (Vals AI)83.0%Not measuredOnly Claude Opus 4.7 measured
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%81.4%Nemotron 3 Ultra
Long context reasoning (AA-LCR)78.7%79.3%Nemotron 3 Ultra
DTBench94.7%90.1%Claude Opus 4.7
LMCA52.2%36.9%Claude Opus 4.7
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901445Claude Opus 4.7
LMArena Text: instruction following14981418Claude Opus 4.7
LMArena Text: creative writing14861399Claude Opus 4.7
LMArena Vision1317Not measuredOnly Claude Opus 4.7 measured
LMArena Text: English14961455Claude Opus 4.7
LMArena Text: non-English14801427Claude Opus 4.7
LMArena Text: Chinese15311497Claude Opus 4.7
LMArena Text: German14951472Claude Opus 4.7
LMArena Text: Japanese1474Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Korean14641384Claude Opus 4.7
LMArena Text: French15031472Claude Opus 4.7
LMArena Text: Spanish14941455Claude Opus 4.7
LMArena Text: Russian14941417Claude Opus 4.7
LMArena Text: Polish14891385Claude Opus 4.7
LMArena Text: multi-turn15051411Claude Opus 4.7
LMArena Text: longer queries15051437Claude Opus 4.7
LMArena Text: writing and language14921406Claude Opus 4.7
LMArena Text: entertainment and media14741397Claude Opus 4.7
LMArena Vision: English1322Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: Chinese1371Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: reading text1327Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: humor1309Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing1326Not measuredOnly Claude Opus 4.7 measured
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
EQ-Bench 41311Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.7 and Nemotron 3 Ultra
BenchmarkClaude Opus 4.7Nemotron 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 4.7$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 4.7$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 4.7$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 4.7 and Nemotron 3 Ultra
SpecificationAnthropic Claude Opus 4.7NVIDIA Nemotron 3 Ultra
MakerAnthropicNVIDIA
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2026June 4, 2026
Context window1M262K
Input $/Mtok$5.00$0.60
Output $/Mtok$25.00$2.40
Coding index67.530.0
Independent measurements behind it43
Cost per solved task$2.95Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Nemotron 3 Ultra for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 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 LiveCodeBench (Vals AI) or IFBench, where it leads.

Which is cheaper, Claude Opus 4.7 or Nemotron 3 Ultra?

Claude Opus 4.7 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 4.7 only.

Which has the bigger context window, Claude Opus 4.7 or Nemotron 3 Ultra?

Claude Opus 4.7, with 1M tokens against 262K.

How many benchmarks is the Claude Opus 4.7 vs Nemotron 3 Ultra comparison based on?

62 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-opus-4-7-vs-nvidia-nemotron-3-ultra-550b-a55b">LLMBenchmark.ai, Claude Opus 4.7 vs Nemotron 3 Ultra</a></p>