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GLM 4.6V vs Nemotron 3 Ultra

Nemotron 3 Ultra leads GLM 4.6V on the Artificial Analysis Intelligence Index, 22.9 to 11.2, and GLM 4.6V costs 2.7x less per output token ($0.90 vs $2.40 per million). Updated October 22, 2026; 27 benchmarks have a result for both.

Replace GLM 4.6V Replace Nemotron 3 Ultra
GLM 4.6VZ.ai
Coding
No data
Overall
No data
Output $/M
$0.90
0
Nemotron 3 UltraNVIDIA
Coding
30.0
Overall
53.1
Output $/M
$2.40
27
vs boards won of 27 shared

GLM 4.6V or Nemotron 3 Ultra: which to pick

Only Nemotron 3 Ultra has a coding score, 30.0 on the Vibe Coding Index; GLM 4.6V has none, so the two cannot be ranked on coding.

Pick GLM 4.6V for output tokens 2.7x cheaper ($0.90 vs $2.40 per million).

Model AGLM 4.6VZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BNemotron 3 UltraNVIDIA30.0/1003 independent benchmarksNo cost per solved task
Shared results
27
GLM 4.6V only
11
Nemotron 3 Ultra only
44
Like-for-like categories
6 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
GLM 4.6V not benchmarked, Nemotron 3 Ultra 30.0 from 3 benchmarks.
Widest category
Agentic work, 51.8 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 4.6V 31.6% against Nemotron 3 Ultra 83.3%, 51.8 points apart on a 0 to 100 scale.
Output price
GLM 4.6V $0.90 against Nemotron 3 Ultra $2.40 per million output tokens, 2.7x apart.
Context window
GLM 4.6V takes 131K 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
CategoryGLM 4.6VBarsNemotron 3 UltraTies
Coding03
Intelligence01
Agentic work01
Reasoning05
Knowledge04
General013
All shared boards027
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GLM 4.6V and Nemotron 3 Ultra
BenchmarkGLM 4.6VNemotron 3 UltraLeader
AA Coding IndexNot measured49.3Only Nemotron 3 Ultra measured
LiveCodeBench (Vals AI)Not measured86.0%Only Nemotron 3 Ultra measured
SWE-bench Verified (Vals AI)Not measured69.0%Only Nemotron 3 Ultra measured
Vibe Code Bench (Vals AI)Not measured7.6%Only Nemotron 3 Ultra measured
Code migration (Vals AI)Not measured4.9%Only Nemotron 3 Ultra measured
ProgramBench (Vals AI)Not measured0.0%Only Nemotron 3 Ultra measured
Terminal-Bench 2.1 (Vals AI)Not measured50.9%Only Nemotron 3 Ultra measured
LiveCodeBench (Artificial Analysis run)41.1%Not measuredOnly GLM 4.6V measured
SciCodeNot measured40.3%Only Nemotron 3 Ultra measured
Terminal-Bench Hard (Artificial Analysis run)14.4%36.4%Nemotron 3 Ultra
FrontierCodeNot measured13.6%Only Nemotron 3 Ultra measured
WeirdMLNot measured43.5%Only Nemotron 3 Ultra measured
LMArena Text: coding13891468Nemotron 3 Ultra
LMArena Text: software and IT13911468Nemotron 3 Ultra
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.6V and Nemotron 3 Ultra
BenchmarkGLM 4.6VNemotron 3 UltraLeader
AA Intelligence Index11.222.9Nemotron 3 Ultra
Epoch Capabilities IndexNot measured146.0Only Nemotron 3 Ultra measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.6V and Nemotron 3 Ultra
BenchmarkGLM 4.6VNemotron 3 UltraLeader
AA Agentic IndexNot measured20.1Only Nemotron 3 Ultra measured
Finance Agent (Vals AI)Not measured37.7%Only Nemotron 3 Ultra measured
Legal Research Bench (Vals AI)Not measured15.4%Only Nemotron 3 Ultra measured
Excel Modeling Benchmark (Vals AI)Not measured31.7%Only Nemotron 3 Ultra measured
τ²-Bench Telecom31.6%83.3%Nemotron 3 Ultra
APEX-AgentsNot measured22.7%Only Nemotron 3 Ultra measured
MCP AtlasNot measured63.1%Only Nemotron 3 Ultra measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GLM 4.6V and Nemotron 3 Ultra
BenchmarkGLM 4.6VNemotron 3 UltraLeader
GPQA DiamondNot measured86.1%Only Nemotron 3 Ultra measured
GPQA Diamond (Artificial Analysis run)71.9%86.7%Nemotron 3 Ultra
Humanity's Last Exam (Artificial Analysis run)9.6%28.4%Nemotron 3 Ultra
GPQA Diamond (Epoch AI run)Not measured85.4%Only Nemotron 3 Ultra measured
Mystery game puzzlesNot measured20.0%Only Nemotron 3 Ultra measured
LMArena Text: hard prompts13671452Nemotron 3 Ultra
LMArena Text: expert13711472Nemotron 3 Ultra
LMArena Text: hard prompts in English13911453Nemotron 3 Ultra
LMArena Vision: diagrams1182Not measuredOnly GLM 4.6V measured
LMArena Vision: homework1155Not measuredOnly GLM 4.6V measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for GLM 4.6V and Nemotron 3 Ultra
BenchmarkGLM 4.6VNemotron 3 UltraLeader
AA Math Index85.3Not measuredOnly GLM 4.6V measured
AIME 2025 (Artificial Analysis run)85.3%Not measuredOnly GLM 4.6V measured
OTIS Mock AIMENot measured86.7%Only Nemotron 3 Ultra measured
ProofBenchNot measured2.0%Only Nemotron 3 Ultra measured
LMArena Text: mathNot measured1457Only Nemotron 3 Ultra measured
LMArena Text: mathematical workNot measured1461Only Nemotron 3 Ultra measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.6V and Nemotron 3 Ultra
BenchmarkGLM 4.6VNemotron 3 UltraLeader
MMLU ProNot measured85.8%Only Nemotron 3 Ultra measured
LegalBench (Vals AI)Not measured82.1%Only Nemotron 3 Ultra measured
CorpFin (Vals AI)Not measured65.5%Only Nemotron 3 Ultra measured
TaxEval (Vals AI)Not measured73.1%Only Nemotron 3 Ultra measured
MedCode (Vals AI)Not measured38.6%Only Nemotron 3 Ultra measured
MMLU Pro (Artificial Analysis run)79.9%Not measuredOnly GLM 4.6V measured
LMArena Text: science13891465Nemotron 3 Ultra
LMArena Text: medicine and healthcare13891456Nemotron 3 Ultra
LMArena Text: legal and government13931452Nemotron 3 Ultra
LMArena Text: business and finance13591434Nemotron 3 Ultra
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GLM 4.6V and Nemotron 3 Ultra
BenchmarkGLM 4.6VNemotron 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 index013
General benchmarks for GLM 4.6V and Nemotron 3 Ultra
BenchmarkGLM 4.6VNemotron 3 UltraLeader
IFBench30.1%81.4%Nemotron 3 Ultra
Long context reasoning (AA-LCR)48.7%79.3%Nemotron 3 Ultra
DTBenchNot measured90.1%Only Nemotron 3 Ultra measured
LMCANot measured36.9%Only Nemotron 3 Ultra measured
LMArena Text13761445Nemotron 3 Ultra
LMArena Text: instruction following13501418Nemotron 3 Ultra
LMArena Text: creative writing13471399Nemotron 3 Ultra
LMArena Vision1164Not measuredOnly GLM 4.6V measured
LMArena Text: English13951455Nemotron 3 Ultra
LMArena Text: non-English13581427Nemotron 3 Ultra
LMArena Text: Chinese14251497Nemotron 3 Ultra
LMArena Text: GermanNot measured1472Only Nemotron 3 Ultra measured
LMArena Text: KoreanNot measured1384Only Nemotron 3 Ultra measured
LMArena Text: FrenchNot measured1472Only Nemotron 3 Ultra measured
LMArena Text: SpanishNot measured1455Only Nemotron 3 Ultra measured
LMArena Text: Russian13391417Nemotron 3 Ultra
LMArena Text: PolishNot measured1385Only Nemotron 3 Ultra measured
LMArena Text: multi-turn13591411Nemotron 3 Ultra
LMArena Text: longer queries13571437Nemotron 3 Ultra
LMArena Text: writing and language13471406Nemotron 3 Ultra
LMArena Text: entertainment and media13431397Nemotron 3 Ultra
LMArena Vision: English1179Not measuredOnly GLM 4.6V measured
LMArena Vision: Chinese1217Not measuredOnly GLM 4.6V measured
LMArena Vision: reading text1171Not measuredOnly GLM 4.6V measured
LMArena Vision: creative writing1113Not measuredOnly GLM 4.6V 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 GLM 4.6V and Nemotron 3 Ultra
BenchmarkGLM 4.6VNemotron 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

GLM 4.6V$0.0008Fits in one request
Nemotron 3 Ultra$0.0018Fits in one request

GLM 4.6V costs less

Repository review

50K input + 3K output tokens

GLM 4.6V$0.018Fits in one request
Nemotron 3 Ultra$0.037Fits in one request

GLM 4.6V costs less

Agent loop

200K input + 10K output tokens

GLM 4.6V$0.069Exceeds the context window
Nemotron 3 Ultra$0.144Fits in one request

GLM 4.6V 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 GLM 4.6V and Nemotron 3 Ultra
SpecificationZ.ai GLM 4.6VNVIDIA Nemotron 3 Ultra
MakerZ.aiNVIDIA
WeightsOpen weightsOpen weights
ReleasedDecember 8, 2025June 4, 2026
Context window131K262K
Input $/Mtok$0.30$0.60
Output $/Mtok$0.90$2.40
Coding indexNot benchmarked30.0
Independent measurements behind it03
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6V better than Nemotron 3 Ultra for coding?

Only Nemotron 3 Ultra has a coding score, 30.0 on the Vibe Coding Index; GLM 4.6V has none, so the two cannot be ranked on coding. Pick GLM 4.6V for output tokens 2.7x cheaper ($0.90 vs $2.40 per million).

Which is cheaper, GLM 4.6V or Nemotron 3 Ultra?

GLM 4.6V costs $0.30 per million input tokens and $0.90 per million output tokens; Nemotron 3 Ultra costs $0.60 and $2.40. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.6V or Nemotron 3 Ultra?

Nemotron 3 Ultra, with 262K tokens against 131K.

How many benchmarks is the GLM 4.6V vs Nemotron 3 Ultra comparison based on?

27 benchmarks have a result for both models as of October 22, 2026. GLM 4.6V's coding index rests on 0 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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