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Claude Sonnet 4.5 vs Nemotron 3.5 Super VL

Nemotron 3.5 Super VL leads Claude Sonnet 4.5 on the Artificial Analysis Intelligence Index, 26.5 to 20.7, and Nemotron 3.5 Super VL costs 30.0x less per output token ($0.50 vs $15.00 per million). Updated October 22, 2026; 6 benchmarks have a result for both.

Claude Sonnet 4.5Anthropic
Coding
39.5
Overall
49.5
Output $/M
$15.00
5
Nemotron 3.5 Super VLNVIDIA
Coding
No data
Overall
35.6
Output $/M
$0.50
1
vs boards won of 6 shared

Claude Sonnet 4.5 or Nemotron 3.5 Super VL: which to pick

Only Claude Sonnet 4.5 has a coding score, 39.5 on the Vibe Coding Index; Nemotron 3.5 Super VL has none, so the two cannot be ranked on coding.

Pick Nemotron 3.5 Super VL for output tokens 30.0x cheaper ($0.50 vs $15.00 per million) and a larger context window (1.05M against 1M tokens).

Shared results
6
Claude Sonnet 4.5 only
94
Nemotron 3.5 Super VL only
10
Like-for-like categories
2 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 Sonnet 4.5 39.5 from 3 benchmarks, Nemotron 3.5 Super VL not benchmarked.
Widest category
Intelligence, 5.8 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: game dev: Claude Sonnet 4.5 1166 against Nemotron 3.5 Super VL 1110, 7.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against Nemotron 3.5 Super VL $0.50 per million output tokens, 30.0x apart.
Context window
Claude Sonnet 4.5 takes 1M tokens, Nemotron 3.5 Super VL 1.05M.

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 Sonnet 4.5BarsNemotron 3.5 Super VLTies
Intelligence01
Web design50
All shared boards51
CodingDirectional onlySix of these boards feed the Vibe Coding Index17 boards, none shared
Coding benchmarks for Claude Sonnet 4.5 and Nemotron 3.5 Super VL
BenchmarkClaude Sonnet 4.5Nemotron 3.5 Super VLLeader
SWE-bench Verified74.8%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LiveBench codingNot measured65.5%Only Nemotron 3.5 Super VL measured
LMArena WebDev1394Not measuredOnly Claude Sonnet 4.5 measured
AA Coding Index52.1Not measuredOnly Claude Sonnet 4.5 measured
LiveCodeBench (Vals AI)73.0%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Claude Sonnet 4.5 measured
Vibe Code Bench (Vals AI)22.6%Not measuredOnly Claude Sonnet 4.5 measured
SciCodeNot measured47.8%Only Nemotron 3.5 Super VL measured
Terminal-Bench46.5%Not measuredOnly Claude Sonnet 4.5 measured
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%Not measuredOnly Claude Sonnet 4.5 measured
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: coding1488Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: software and IT1473Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev: React1386Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev: HTML1399Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Claude Sonnet 4.5 and Nemotron 3.5 Super VL
BenchmarkClaude Sonnet 4.5Nemotron 3.5 Super VLLeader
AA Intelligence Index20.726.5Nemotron 3.5 Super VL
Epoch Capabilities Index146.7Not measuredOnly Claude Sonnet 4.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
Agentic work benchmarks for Claude Sonnet 4.5 and Nemotron 3.5 Super VL
BenchmarkClaude Sonnet 4.5Nemotron 3.5 Super VLLeader
AA Agentic Index15.8Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building web apps1060Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building full-stack apps1050Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building mobile apps1136Not measuredOnly Claude Sonnet 4.5 measured
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
METR time horizons67.4%Not measuredOnly Claude Sonnet 4.5 measured
Remote Labor Index2.1%Not measuredOnly Claude Sonnet 4.5 measured
GDPval42.5%Not measuredOnly Claude Sonnet 4.5 measured
DeepResearch Bench52.6%Not measuredOnly Claude Sonnet 4.5 measured
OSWorld62.9%Not measuredOnly Claude Sonnet 4.5 measured
Vending-Bench 2$3,839Not measuredOnly Claude Sonnet 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)73.2%Not measuredOnly Claude Sonnet 4.5 measured
MCP Atlas59.5%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 27 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Reasoning benchmarks for Claude Sonnet 4.5 and Nemotron 3.5 Super VL
BenchmarkClaude Sonnet 4.5Nemotron 3.5 Super VLLeader
GPQA Diamond81.6%Not measuredOnly Claude Sonnet 4.5 measured
LiveBench reasoningNot measured78.8%Only Nemotron 3.5 Super VL measured
MMMU Pro (Vals AI)79.3%Not measuredOnly Claude Sonnet 4.5 measured
Humanity's Last Exam (Artificial Analysis run)Not measured30.7%Only Nemotron 3.5 Super VL measured
GPQA Diamond (Epoch AI run)82.3%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI63.7%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI-213.6%Not measuredOnly Claude Sonnet 4.5 measured
SimpleBench54.3%Not measuredOnly Claude Sonnet 4.5 measured
Chess puzzles10.0%Not measuredOnly Claude Sonnet 4.5 measured
Mystery game puzzles17.0%Not measuredOnly Claude Sonnet 4.5 measured
EBR-bench2.4%Not measuredOnly Claude Sonnet 4.5 measured
VPCT39.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts1462Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: expert1483Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts in English1471Not measuredOnly Claude Sonnet 4.5 measured
Kagi LLM Benchmark57.9%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 7 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Math benchmarks for Claude Sonnet 4.5 and Nemotron 3.5 Super VL
BenchmarkClaude Sonnet 4.5Nemotron 3.5 Super VLLeader
AIME88.2%Not measuredOnly Claude Sonnet 4.5 measured
MGSM (Vals AI)94.3%Not measuredOnly Claude Sonnet 4.5 measured
OTIS Mock AIME77.8%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tiers 1 to 323.9%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Sonnet 4.5 measured
ProofBench19.0%Not measuredOnly Claude Sonnet 4.5 measured
MATH level 597.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: math1449Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: mathematical work1462Not measuredOnly Claude Sonnet 4.5 measured
MathArena12.6%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 4 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Knowledge benchmarks for Claude Sonnet 4.5 and Nemotron 3.5 Super VL
BenchmarkClaude Sonnet 4.5Nemotron 3.5 Super VLLeader
MMLU Pro87.4%Not measuredOnly Claude Sonnet 4.5 measured
LegalBench (Vals AI)84.1%Not measuredOnly Claude Sonnet 4.5 measured
CaseLaw (Vals AI)62.2%Not measuredOnly Claude Sonnet 4.5 measured
CorpFin (Vals AI)62.0%Not measuredOnly Claude Sonnet 4.5 measured
TaxEval (Vals AI)73.3%Not measuredOnly Claude Sonnet 4.5 measured
MortgageTax (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.5 measured
MedQA (Vals AI)94.7%Not measuredOnly Claude Sonnet 4.5 measured
MedCode (Vals AI)44.1%Not measuredOnly Claude Sonnet 4.5 measured
SimpleQA Verified30.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: science1448Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: medicine and healthcare1444Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: legal and government1451Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: business and finance1440Not measuredOnly Claude Sonnet 4.5 measured
FACTS Benchmark Suite40.6%Not measuredOnly Claude Sonnet 4.5 measured
PRBench Finance43.8%Not measuredOnly Claude Sonnet 4.5 measured
PRBench Legal40.8%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Claude Sonnet 4.5 and Nemotron 3.5 Super VL
BenchmarkClaude Sonnet 4.5Nemotron 3.5 Super VLLeader
Design Arena: websites11891173Claude Sonnet 4.5
Design Arena: UI components11701149Claude Sonnet 4.5
Design Arena: game dev11661110Claude Sonnet 4.5
Design Arena: data viz1167Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: 3D11571128Claude Sonnet 4.5
Design Arena: all code categories11821154Claude Sonnet 4.5
Design Arena: SVG1114Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: ASCII art1205Not measuredOnly Claude Sonnet 4.5 measured
LiveBench designNot measured60.7%Only Nemotron 3.5 Super VL measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index25 boards, none shared
General benchmarks for Claude Sonnet 4.5 and Nemotron 3.5 Super VL
BenchmarkClaude Sonnet 4.5Nemotron 3.5 Super VLLeader
LiveBench data analysisNot measured64.6%Only Nemotron 3.5 Super VL measured
SAGE (Vals AI)36.1%Not measuredOnly Claude Sonnet 4.5 measured
MedScribe (Vals AI)84.5%Not measuredOnly Claude Sonnet 4.5 measured
Long context reasoning (AA-LCR)Not measured69.0%Only Nemotron 3.5 Super VL measured
DTBench83.2%Not measuredOnly Claude Sonnet 4.5 measured
LMCA38.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text1438Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: instruction following1459Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: creative writing1442Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: English1450Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: non-English1425Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Chinese1460Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: German1427Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Japanese1390Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Korean1402Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: French1459Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Spanish1458Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Russian1437Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Polish1423Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: multi-turn1465Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: longer queries1475Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: writing and language1442Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: entertainment and media1428Not measuredOnly Claude Sonnet 4.5 measured
LMArena Document1450Not measuredOnly Claude Sonnet 4.5 measured
MultiChallenge55.3%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.5 and Nemotron 3.5 Super VL
BenchmarkClaude Sonnet 4.5Nemotron 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

Claude Sonnet 4.5$0.011Fits 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

Claude Sonnet 4.5$0.195Fits 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

Claude Sonnet 4.5$0.750Fits 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 Claude Sonnet 4.5 and Nemotron 3.5 Super VL
SpecificationAnthropic Claude Sonnet 4.5NVIDIA Nemotron 3.5 Super VL
MakerAnthropicNVIDIA
WeightsNo public weights listedOpen weights
ReleasedSeptember 29, 2025October 15, 2026
Context window1M1.05M
Input $/Mtok$3.00$0.15
Output $/Mtok$15.00$0.50
Coding index39.5Not benchmarked
Independent measurements behind it31
Cost per solved task$1.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 better than Nemotron 3.5 Super VL for coding?

Only Claude Sonnet 4.5 has a coding score, 39.5 on the Vibe Coding Index; Nemotron 3.5 Super VL has none, so the two cannot be ranked on coding. Pick Nemotron 3.5 Super VL for output tokens 30.0x cheaper ($0.50 vs $15.00 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Claude Sonnet 4.5 or Nemotron 3.5 Super VL?

Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; Nemotron 3.5 Super VL costs $0.15 and $0.50. Cost per solved task is known for Claude Sonnet 4.5 only.

Which has the bigger context window, Claude Sonnet 4.5 or Nemotron 3.5 Super VL?

Nemotron 3.5 Super VL, with 1.05M tokens against 1M.

How many benchmarks is the Claude Sonnet 4.5 vs Nemotron 3.5 Super VL comparison based on?

6 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.5's coding index rests on 3 independent benchmarks 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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