Enter opens the highlighted result. Esc closes.

GLM 5.3 vs Nemotron 3 Ultra

GLM 5.3 leads Nemotron 3 Ultra on coding, 70.6 to 30.0 on the Vibe Coding Index, and Nemotron 3 Ultra costs 1.8x less per output token ($2.40 vs $4.40 per million). Updated October 22, 2026; 67 benchmarks have a result for both.

Replace GLM 5.3 Replace Nemotron 3 Ultra
GLM 5.3Z.ai
Coding
70.6
Overall
67.9
Output $/M
$4.40
64
Nemotron 3 UltraNVIDIA
Coding
30.0
Overall
53.1
Output $/M
$2.40
3
vs boards won of 67 shared

GLM 5.3 or Nemotron 3 Ultra: which to pick

Pick GLM 5.3 for coding: it scores 70.6 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra.

Pick Nemotron 3 Ultra for output tokens 1.8x cheaper ($2.40 vs $4.40 per million) and work measured by LiveCodeBench (Vals AI) or TaxEval (Vals AI), where it leads.

Model AGLM 5.3Z.ai70.6/1006 independent benchmarks$0.36 per solved taskModel BNemotron 3 UltraNVIDIA30.0/1003 independent benchmarksNo cost per solved task
Shared results
67
GLM 5.3 only
36
Nemotron 3 Ultra only
4
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 5.3 70.6 from 6 benchmarks, Nemotron 3 Ultra 30.0 from 3 benchmarks.
Widest category
Agentic work, 27.4 points apart on average over 6 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 5.3 78.1% against Nemotron 3 Ultra 7.6%, 70.5 points apart on a 0 to 100 scale.
Output price
GLM 5.3 $4.40 against Nemotron 3 Ultra $2.40 per million output tokens, 1.8x apart.
Context window
GLM 5.3 takes 1.05M 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 5.3BarsNemotron 3 UltraTies
Coding111
Intelligence20
Agentic work60
Reasoning80
Math40
Knowledge71
Web design80
General181
All shared boards643
CodingLike-for-likeSix of these boards feed the Vibe Coding Index111
Coding benchmarks for GLM 5.3 and Nemotron 3 Ultra
BenchmarkGLM 5.3Nemotron 3 UltraLeader
LiveBench coding82.8%Not measuredOnly GLM 5.3 measured
LMArena WebDev1621Not measuredOnly GLM 5.3 measured
AA Coding Index74.849.3GLM 5.3
LiveCodeBench (Vals AI)80.5%86.0%Nemotron 3 Ultra
SWE-bench Verified (Vals AI)95.4%69.0%GLM 5.3
Terminal-Bench 4 (Vals AI)38.9%Not measuredOnly GLM 5.3 measured
Vibe Code Bench (Vals AI)78.1%7.6%GLM 5.3
Code migration (Vals AI)44.2%4.9%GLM 5.3
ProgramBench (Vals AI)1.5%0.0%GLM 5.3
IOI (Vals AI)68.4%Not measuredOnly GLM 5.3 measured
Terminal-Bench 2.1 (Vals AI)71.5%50.9%GLM 5.3
Vibe Code Bench 1-100 (Vals AI)20.0%Not measuredOnly GLM 5.3 measured
SkillsBench (Vals AI)47.5%Not measuredOnly GLM 5.3 measured
CyberBench (Vals AI)72.1%Not measuredOnly GLM 5.3 measured
SciCode59.0%40.3%GLM 5.3
Terminal-Bench Hard (Artificial Analysis run)Not measured36.4%Only Nemotron 3 Ultra measured
FrontierCode40.1%13.6%GLM 5.3
FrontierSWE30.2%Not measuredOnly GLM 5.3 measured
WeirdML75.4%43.5%GLM 5.3
ALE-Bench1317.4Not measuredOnly GLM 5.3 measured
LMArena Text: coding14971468GLM 5.3
LMArena Text: software and IT14931468GLM 5.3
LMArena WebDev: React1641Not measuredOnly GLM 5.3 measured
LMArena WebDev: HTML1595Not measuredOnly GLM 5.3 measured
SWE-Bench Pro V295.6%Not measuredOnly GLM 5.3 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GLM 5.3 and Nemotron 3 Ultra
BenchmarkGLM 5.3Nemotron 3 UltraLeader
AA Intelligence Index44.822.9GLM 5.3
Epoch Capabilities Index156.0146.0GLM 5.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
Agentic work benchmarks for GLM 5.3 and Nemotron 3 Ultra
BenchmarkGLM 5.3Nemotron 3 UltraLeader
AA Agentic Index53.120.1GLM 5.3
Design Arena: agents building mobile apps1193Not measuredOnly GLM 5.3 measured
Design Arena: HTML slides1189Not measuredOnly GLM 5.3 measured
Design Arena: PowerPoint slides1229Not measuredOnly GLM 5.3 measured
LiveBench research73.2%Not measuredOnly GLM 5.3 measured
LiveBench browser0.0%Not measuredOnly GLM 5.3 measured
LiveBench long agentic35.9%Not measuredOnly GLM 5.3 measured
SREBench (Vals AI)9.2%Not measuredOnly GLM 5.3 measured
Finance Agent (Vals AI)55.8%37.7%GLM 5.3
Tax Agent Bench (Vals AI)39.7%Not measuredOnly GLM 5.3 measured
Legal Research Bench (Vals AI)49.0%15.4%GLM 5.3
Harvey's Legal Agent Benchmark (Vals AI)14.6%Not measuredOnly GLM 5.3 measured
Excel Modeling Benchmark (Vals AI)56.3%31.7%GLM 5.3
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly GLM 5.3 measured
τ²-Bench TelecomNot measured83.3%Only Nemotron 3 Ultra measured
APEX-Agents56.6%22.7%GLM 5.3
Vending-Bench 2$8,164Not measuredOnly GLM 5.3 measured
MCP Atlas84.2%63.1%GLM 5.3
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for GLM 5.3 and Nemotron 3 Ultra
BenchmarkGLM 5.3Nemotron 3 UltraLeader
GPQA Diamond88.1%86.1%GLM 5.3
LiveBench reasoning85.8%Not measuredOnly GLM 5.3 measured
MysteryMechanism (Vals AI)23.0%Not measuredOnly GLM 5.3 measured
GPQA Diamond (Artificial Analysis run)91.7%86.7%GLM 5.3
Humanity's Last Exam (Artificial Analysis run)42.3%28.4%GLM 5.3
GPQA Diamond (Epoch AI run)90.9%85.4%GLM 5.3
Chess puzzles37.0%Not measuredOnly GLM 5.3 measured
Mystery game puzzles33.0%20.0%GLM 5.3
LMArena Text: hard prompts14901452GLM 5.3
LMArena Text: expert15141472GLM 5.3
LMArena Text: hard prompts in English14961453GLM 5.3
Humanity's Last Exam (Scale run)16.4%Not measuredOnly GLM 5.3 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for GLM 5.3 and Nemotron 3 Ultra
BenchmarkGLM 5.3Nemotron 3 UltraLeader
OTIS Mock AIME91.1%86.7%GLM 5.3
FrontierMath, tiers 1 to 368.8%Not measuredOnly GLM 5.3 measured
FrontierMath, tier 429.3%Not measuredOnly GLM 5.3 measured
ProofBench49.0%2.0%GLM 5.3
LMArena Text: math14951457GLM 5.3
LMArena Text: mathematical work14971461GLM 5.3
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index71
Knowledge benchmarks for GLM 5.3 and Nemotron 3 Ultra
BenchmarkGLM 5.3Nemotron 3 UltraLeader
MMLU Pro86.8%85.8%GLM 5.3
LegalBench (Vals AI)84.8%82.1%GLM 5.3
CorpFin (Vals AI)Not measured65.5%Only Nemotron 3 Ultra measured
TaxEval (Vals AI)72.4%73.1%Nemotron 3 Ultra
MedCode (Vals AI)42.9%38.6%GLM 5.3
SimpleQA Verified41.0%Not measuredOnly GLM 5.3 measured
LMArena Text: science14981465GLM 5.3
LMArena Text: medicine and healthcare14811456GLM 5.3
LMArena Text: legal and government14731452GLM 5.3
LMArena Text: business and finance14591434GLM 5.3
Neither model has a result on the other 10 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for GLM 5.3 and Nemotron 3 Ultra
BenchmarkGLM 5.3Nemotron 3 UltraLeader
Design Arena: websites12941145GLM 5.3
Design Arena: UI components13111135GLM 5.3
Design Arena: game dev13111138GLM 5.3
Design Arena: data viz12611141GLM 5.3
Design Arena: 3D13311131GLM 5.3
Design Arena: all code categories13031146GLM 5.3
Design Arena: SVG12921069GLM 5.3
Design Arena: ASCII art12081100GLM 5.3
LiveBench design77.3%Not measuredOnly GLM 5.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index181
General benchmarks for GLM 5.3 and Nemotron 3 Ultra
BenchmarkGLM 5.3Nemotron 3 UltraLeader
Vals Index59.7%Not measuredOnly GLM 5.3 measured
LiveBench data analysis70.2%Not measuredOnly GLM 5.3 measured
Public Benefits Bench (Vals AI)68.5%Not measuredOnly GLM 5.3 measured
MedScribe (Vals AI)88.8%Not measuredOnly GLM 5.3 measured
IFBenchNot measured81.4%Only Nemotron 3 Ultra measured
Long context reasoning (AA-LCR)79.7%79.3%GLM 5.3
DTBench87.7%90.1%Nemotron 3 Ultra
LMCA55.5%36.9%GLM 5.3
LMArena Text14741445GLM 5.3
LMArena Text: instruction following14791418GLM 5.3
LMArena Text: creative writing14581399GLM 5.3
LMArena Text: English14821455GLM 5.3
LMArena Text: non-English14591427GLM 5.3
LMArena Text: Chinese15321497GLM 5.3
LMArena Text: German14881472GLM 5.3
LMArena Text: Japanese1460Not measuredOnly GLM 5.3 measured
LMArena Text: Korean14601384GLM 5.3
LMArena Text: French15031472GLM 5.3
LMArena Text: Spanish14621455GLM 5.3
LMArena Text: Russian14691417GLM 5.3
LMArena Text: Polish14661385GLM 5.3
LMArena Text: multi-turn14721411GLM 5.3
LMArena Text: longer queries14831437GLM 5.3
LMArena Text: writing and language14691406GLM 5.3
LMArena Text: entertainment and media14471397GLM 5.3
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 5.3 and Nemotron 3 Ultra
BenchmarkGLM 5.3Nemotron 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 5.3$0.0036Fits in one request
Nemotron 3 Ultra$0.0018Fits in one request

Nemotron 3 Ultra costs less

Repository review

50K input + 3K output tokens

GLM 5.3$0.083Fits in one request
Nemotron 3 Ultra$0.037Fits in one request

Nemotron 3 Ultra costs less

Agent loop

200K input + 10K output tokens

GLM 5.3$0.324Fits 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 GLM 5.3 and Nemotron 3 Ultra
SpecificationZ.ai GLM 5.3NVIDIA Nemotron 3 Ultra
MakerZ.aiNVIDIA
WeightsOpen weightsOpen weights
ReleasedAugust 18, 2026June 4, 2026
Context window1.05M262K
Input $/Mtok$1.40$0.60
Output $/Mtok$4.40$2.40
Coding index70.630.0
Independent measurements behind it63
Cost per solved task$0.36Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 better than Nemotron 3 Ultra for coding?

Pick GLM 5.3 for coding: it scores 70.6 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra. Pick Nemotron 3 Ultra for output tokens 1.8x cheaper ($2.40 vs $4.40 per million) and work measured by LiveCodeBench (Vals AI) or TaxEval (Vals AI), where it leads.

Which is cheaper, GLM 5.3 or Nemotron 3 Ultra?

GLM 5.3 costs $1.40 per million input tokens and $4.40 per million output tokens; Nemotron 3 Ultra costs $0.60 and $2.40. Cost per solved task is known for GLM 5.3 only.

Which has the bigger context window, GLM 5.3 or Nemotron 3 Ultra?

GLM 5.3, with 1.05M tokens against 262K.

How many benchmarks is the GLM 5.3 vs Nemotron 3 Ultra comparison based on?

67 benchmarks have a result for both models as of October 22, 2026. GLM 5.3'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.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/glm-5-3-vs-nvidia-nemotron-3-ultra-550b-a55b" title="GLM 5.3 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-5-3-vs-nvidia-nemotron-3-ultra-550b-a55b">LLMBenchmark.ai, GLM 5.3 vs Nemotron 3 Ultra</a></p>