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GLM 4.6 vs Nemotron 3 Ultra

Nemotron 3 Ultra leads GLM 4.6 on coding, 30.0 to 8.8 on the Vibe Coding Index, at about the same output price ($2.40 vs $2.20 per million). Updated October 22, 2026; 49 benchmarks have a result for both.

Replace GLM 4.6 Replace Nemotron 3 Ultra
GLM 4.6Z.ai
Coding
8.8
Overall
33.4
Output $/M
$2.20
14
Nemotron 3 UltraNVIDIA
Coding
30.0
Overall
53.1
Output $/M
$2.40
35
vs boards won of 49 shared

GLM 4.6 or Nemotron 3 Ultra: which to pick

Pick Nemotron 3 Ultra for coding: it scores 30.0 on the Vibe Coding Index against 8.8 for GLM 4.6.

Pick GLM 4.6 for output tokens 1.1x cheaper ($2.20 vs $2.40 per million) and work measured by Design Arena: websites or Design Arena: UI components, where it leads.

Model AGLM 4.6Z.ai8.8/1002 independent benchmarksNo cost per solved taskModel BNemotron 3 UltraNVIDIA30.0/1003 independent benchmarksNo cost per solved task
Shared results
49
GLM 4.6 only
21
Nemotron 3 Ultra only
22
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
GLM 4.6 8.8 from 2 benchmarks, Nemotron 3 Ultra 30.0 from 3 benchmarks.
Widest category
Reasoning, 7.4 points apart on average over 6 shared benchmarks.
Widest single gap
IFBench: GLM 4.6 43.4% against Nemotron 3 Ultra 81.4%, 38.0 points apart on a 0 to 100 scale.
Output price
GLM 4.6 $2.20 against Nemotron 3 Ultra $2.40 per million output tokens, 1.1x apart.
Context window
GLM 4.6 takes 205K 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 4.6BarsNemotron 3 UltraTies
Coding06
Intelligence01
Agentic work01
Reasoning06
Math02
Knowledge08
Web design61
General810
All shared boards1435
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for GLM 4.6 and Nemotron 3 Ultra
BenchmarkGLM 4.6Nemotron 3 UltraLeader
SWE-bench Verified68.2%Not measuredOnly GLM 4.6 measured
LMArena WebDev1341Not measuredOnly GLM 4.6 measured
AA Coding Index45.849.3Nemotron 3 Ultra
LiveCodeBench (Vals AI)81.0%86.0%Nemotron 3 Ultra
SWE-bench Verified (Vals AI)Not measured69.0%Only Nemotron 3 Ultra measured
Vibe Code Bench (Vals AI)3.1%7.6%Nemotron 3 Ultra
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)69.5%Not measuredOnly GLM 4.6 measured
SciCodeNot measured40.3%Only Nemotron 3 Ultra measured
Terminal-Bench Hard (Artificial Analysis run)28.8%36.4%Nemotron 3 Ultra
Terminal-Bench24.5%Not measuredOnly GLM 4.6 measured
FrontierCodeNot measured13.6%Only Nemotron 3 Ultra measured
WeirdMLNot measured43.5%Only Nemotron 3 Ultra measured
ALE-Bench340.8Not measuredOnly GLM 4.6 measured
LMArena Text: coding14491468Nemotron 3 Ultra
LMArena Text: software and IT14551468Nemotron 3 Ultra
LMArena WebDev: HTML1350Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.6 and Nemotron 3 Ultra
BenchmarkGLM 4.6Nemotron 3 UltraLeader
AA Intelligence Index18.522.9Nemotron 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 4.6 and Nemotron 3 Ultra
BenchmarkGLM 4.6Nemotron 3 UltraLeader
AA Agentic IndexNot measured20.1Only Nemotron 3 Ultra measured
Design Arena: agents building full-stack apps1029Not measuredOnly GLM 4.6 measured
Design Arena: agents building mobile apps1096Not measuredOnly GLM 4.6 measured
Design Arena: agents building Android apps1084Not measuredOnly GLM 4.6 measured
Design Arena: agents building Godot games1180Not measuredOnly GLM 4.6 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 Telecom76.9%83.3%Nemotron 3 Ultra
APEX-AgentsNot measured22.7%Only Nemotron 3 Ultra measured
Berkeley Function Calling Leaderboard (BFCL)72.4%Not measuredOnly GLM 4.6 measured
BrowseComp-Plus48.2%Not measuredOnly GLM 4.6 measured
MCP AtlasNot measured63.1%Only Nemotron 3 Ultra measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GLM 4.6 and Nemotron 3 Ultra
BenchmarkGLM 4.6Nemotron 3 UltraLeader
GPQA Diamond74.5%86.1%Nemotron 3 Ultra
GPQA Diamond (Artificial Analysis run)78.0%86.7%Nemotron 3 Ultra
Humanity's Last Exam (Artificial Analysis run)14.5%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 prompts14401452Nemotron 3 Ultra
LMArena Text: expert14321472Nemotron 3 Ultra
LMArena Text: hard prompts in English14451453Nemotron 3 Ultra
Kagi LLM Benchmark45.7%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 4.6 and Nemotron 3 Ultra
BenchmarkGLM 4.6Nemotron 3 UltraLeader
AIME92.7%Not measuredOnly GLM 4.6 measured
MGSM (Vals AI)89.8%Not measuredOnly GLM 4.6 measured
AA Math Index86.0Not measuredOnly GLM 4.6 measured
AIME 2025 (Artificial Analysis run)86.0%Not measuredOnly GLM 4.6 measured
OTIS Mock AIMENot measured86.7%Only Nemotron 3 Ultra measured
ProofBenchNot measured2.0%Only Nemotron 3 Ultra measured
LMArena Text: math14321457Nemotron 3 Ultra
LMArena Text: mathematical work14471461Nemotron 3 Ultra
MathArena16.3%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index08
Knowledge benchmarks for GLM 4.6 and Nemotron 3 Ultra
BenchmarkGLM 4.6Nemotron 3 UltraLeader
MMLU Pro82.2%85.8%Nemotron 3 Ultra
LegalBench (Vals AI)79.6%82.1%Nemotron 3 Ultra
CorpFin (Vals AI)56.8%65.5%Nemotron 3 Ultra
TaxEval (Vals AI)66.2%73.1%Nemotron 3 Ultra
MedQA (Vals AI)92.2%Not measuredOnly GLM 4.6 measured
MedCode (Vals AI)Not measured38.6%Only Nemotron 3 Ultra measured
MMLU Pro (Artificial Analysis run)82.9%Not measuredOnly GLM 4.6 measured
LMArena Text: science14561465Nemotron 3 Ultra
LMArena Text: medicine and healthcare14551456Nemotron 3 Ultra
LMArena Text: legal and government14481452Nemotron 3 Ultra
LMArena Text: business and finance14161434Nemotron 3 Ultra
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index61
Web design benchmarks for GLM 4.6 and Nemotron 3 Ultra
BenchmarkGLM 4.6Nemotron 3 UltraLeader
Design Arena: websites11741145GLM 4.6
Design Arena: UI components11451135GLM 4.6
Design Arena: game dev11501138GLM 4.6
Design Arena: data viz11611141GLM 4.6
Design Arena: 3D11281131Nemotron 3 Ultra
Design Arena: all code categories11651146GLM 4.6
Design Arena: SVG11081069GLM 4.6
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 index810
General benchmarks for GLM 4.6 and Nemotron 3 Ultra
BenchmarkGLM 4.6Nemotron 3 UltraLeader
IFBench43.4%81.4%Nemotron 3 Ultra
Long context reasoning (AA-LCR)54.0%79.3%Nemotron 3 Ultra
DTBenchNot measured90.1%Only Nemotron 3 Ultra measured
LMCANot measured36.9%Only Nemotron 3 Ultra measured
LMArena Text14401445Nemotron 3 Ultra
LMArena Text: instruction following14101418Nemotron 3 Ultra
LMArena Text: creative writing14121399GLM 4.6
LMArena Text: English14491455Nemotron 3 Ultra
LMArena Text: non-English14261427Nemotron 3 Ultra
LMArena Text: Chinese14991497GLM 4.6
LMArena Text: German14471472Nemotron 3 Ultra
LMArena Text: Japanese1393Not measuredOnly GLM 4.6 measured
LMArena Text: Korean14001384GLM 4.6
LMArena Text: French14591472Nemotron 3 Ultra
LMArena Text: Spanish14361455Nemotron 3 Ultra
LMArena Text: Russian14181417GLM 4.6
LMArena Text: Polish14471385GLM 4.6
LMArena Text: multi-turn14271411GLM 4.6
LMArena Text: longer queries14221437Nemotron 3 Ultra
LMArena Text: writing and language14151406GLM 4.6
LMArena Text: entertainment and media14091397GLM 4.6
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.6 and Nemotron 3 Ultra
BenchmarkGLM 4.6Nemotron 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 4.6$0.0017Fits in one request
Nemotron 3 Ultra$0.0018Fits in one request

GLM 4.6 costs less

Repository review

50K input + 3K output tokens

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

GLM 4.6 costs less

Agent loop

200K input + 10K output tokens

GLM 4.6$0.142Exceeds the context window
Nemotron 3 Ultra$0.144Fits in one request

GLM 4.6 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 4.6 and Nemotron 3 Ultra
SpecificationZ.ai GLM 4.6NVIDIA Nemotron 3 Ultra
MakerZ.aiNVIDIA
WeightsOpen weightsOpen weights
ReleasedSeptember 30, 2025June 4, 2026
Context window205K262K
Input $/Mtok$0.60$0.60
Output $/Mtok$2.20$2.40
Coding index8.830.0
Independent measurements behind it23
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6 better than Nemotron 3 Ultra for coding?

Pick Nemotron 3 Ultra for coding: it scores 30.0 on the Vibe Coding Index against 8.8 for GLM 4.6. Pick GLM 4.6 for output tokens 1.1x cheaper ($2.20 vs $2.40 per million) and work measured by Design Arena: websites or Design Arena: UI components, where it leads.

Which is cheaper, GLM 4.6 or Nemotron 3 Ultra?

GLM 4.6 costs $0.60 per million input tokens and $2.20 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 4.6 or Nemotron 3 Ultra?

Nemotron 3 Ultra, with 262K tokens against 205K.

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

49 benchmarks have a result for both models as of October 22, 2026. GLM 4.6's coding index rests on 2 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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<iframe src="https://llmbenchmark.ai/embed/compare/glm-4-6-vs-nvidia-nemotron-3-ultra-550b-a55b" title="GLM 4.6 vs Nemotron 3 Ultra, 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/glm-4-6-vs-nvidia-nemotron-3-ultra-550b-a55b">LLMBenchmark.ai, GLM 4.6 vs Nemotron 3 Ultra</a></p>