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GLM 5.3 Flash vs Nemotron 3 Ultra

GLM 5.3 Flash leads Nemotron 3 Ultra on coding, 57.7 to 30.0 on the Vibe Coding Index, and GLM 5.3 Flash costs 4.8x less per output token ($0.50 vs $2.40 per million). Updated October 22, 2026; 62 benchmarks have a result for both.

GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
58
Nemotron 3 UltraNVIDIA
Coding
30.0
Overall
53.1
Output $/M
$2.40
3
vs boards won of 62 shared, 1 tied

GLM 5.3 Flash or Nemotron 3 Ultra: which to pick

Pick GLM 5.3 Flash for coding: it scores 57.7 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra.

Pick Nemotron 3 Ultra for work measured by LiveCodeBench (Vals AI) or Mystery game puzzles, where it leads.

Shared results
62
GLM 5.3 Flash only
40
Nemotron 3 Ultra only
9
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 Flash 57.7 from 6 benchmarks, Nemotron 3 Ultra 30.0 from 3 benchmarks.
Widest category
Agentic work, 27.0 points apart on average over 5 shared benchmarks.
Widest single gap
AA Agentic Index: GLM 5.3 Flash 50.9 against Nemotron 3 Ultra 20.1, 30.8 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against Nemotron 3 Ultra $2.40 per million output tokens, 4.8x apart.
Context window
GLM 5.3 Flash 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 5.3 FlashBarsNemotron 3 UltraTies
Coding911 tie
Intelligence20
Agentic work50
Reasoning71
Math40
Knowledge70
Web design80
General161
All shared boards5831 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index91
Coding benchmarks for GLM 5.3 Flash and Nemotron 3 Ultra
BenchmarkGLM 5.3 FlashNemotron 3 UltraLeader
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev1607Not measuredOnly GLM 5.3 Flash measured
AA Coding Index71.549.3GLM 5.3 Flash
LiveCodeBench (Vals AI)80.5%86.0%Nemotron 3 Ultra
SWE-bench Verified (Vals AI)92.0%69.0%GLM 5.3 Flash
Terminal-Bench 4 (Vals AI)37.4%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)30.8%7.6%GLM 5.3 Flash
Code migration (Vals AI)20.5%4.9%GLM 5.3 Flash
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)52.5%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)62.9%50.9%GLM 5.3 Flash
Vibe Code Bench 1-100 (Vals AI)16.0%Not measuredOnly GLM 5.3 Flash measured
SkillsBench (Vals AI)40.2%Not measuredOnly GLM 5.3 Flash measured
CyberBench (Vals AI)67.9%Not measuredOnly GLM 5.3 Flash measured
SciCode51.6%40.3%GLM 5.3 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured36.4%Only Nemotron 3 Ultra measured
FrontierCode31.8%13.6%GLM 5.3 Flash
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
WeirdMLNot measured43.5%Only Nemotron 3 Ultra measured
ALE-Bench303.6Not measuredOnly GLM 5.3 Flash measured
LMArena Text: coding15071468GLM 5.3 Flash
LMArena Text: software and IT15001468GLM 5.3 Flash
LMArena WebDev: React1624Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev: HTML1577Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev: from an image1578Not measuredOnly GLM 5.3 Flash 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 Flash and Nemotron 3 Ultra
BenchmarkGLM 5.3 FlashNemotron 3 UltraLeader
AA Intelligence Index41.822.9GLM 5.3 Flash
Epoch Capabilities Index153.1146.0GLM 5.3 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for GLM 5.3 Flash and Nemotron 3 Ultra
BenchmarkGLM 5.3 FlashNemotron 3 UltraLeader
AA Agentic Index50.920.1GLM 5.3 Flash
LiveBench research70.1%Not measuredOnly GLM 5.3 Flash measured
LiveBench browser84.0%Not measuredOnly GLM 5.3 Flash measured
LiveBench long agentic28.4%Not measuredOnly GLM 5.3 Flash measured
SREBench (Vals AI)0.8%Not measuredOnly GLM 5.3 Flash measured
Finance Agent (Vals AI)57.9%37.7%GLM 5.3 Flash
Tax Agent Bench (Vals AI)31.6%Not measuredOnly GLM 5.3 Flash measured
Legal Research Bench (Vals AI)45.2%15.4%GLM 5.3 Flash
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)55.9%31.7%GLM 5.3 Flash
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
τ²-Bench TelecomNot measured83.3%Only Nemotron 3 Ultra measured
APEX-Agents52.8%22.7%GLM 5.3 Flash
MCP AtlasNot measured63.1%Only Nemotron 3 Ultra measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index71
Reasoning benchmarks for GLM 5.3 Flash and Nemotron 3 Ultra
BenchmarkGLM 5.3 FlashNemotron 3 UltraLeader
GPQA Diamond86.4%86.1%GLM 5.3 Flash
LiveBench reasoning77.6%Not measuredOnly GLM 5.3 Flash measured
MMMU Pro (Vals AI)86.0%Not measuredOnly GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)91.2%86.7%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)39.9%28.4%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)90.2%85.4%GLM 5.3 Flash
ARC-AGI91.0%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI-265.8%Not measuredOnly GLM 5.3 Flash measured
Chess puzzles21.0%Not measuredOnly GLM 5.3 Flash measured
Mystery game puzzles8.0%20.0%Nemotron 3 Ultra
LMArena Text: hard prompts14901452GLM 5.3 Flash
LMArena Text: expert15111472GLM 5.3 Flash
LMArena Text: hard prompts in English14881453GLM 5.3 Flash
LMArena Vision: diagrams1317Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: homework1318Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for GLM 5.3 Flash and Nemotron 3 Ultra
BenchmarkGLM 5.3 FlashNemotron 3 UltraLeader
OTIS Mock AIME93.9%86.7%GLM 5.3 Flash
FrontierMath, tiers 1 to 355.8%Not measuredOnly GLM 5.3 Flash measured
FrontierMath, tier 417.1%Not measuredOnly GLM 5.3 Flash measured
ProofBench21.0%2.0%GLM 5.3 Flash
LMArena Text: math15031457GLM 5.3 Flash
LMArena Text: mathematical work14971461GLM 5.3 Flash
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for GLM 5.3 Flash and Nemotron 3 Ultra
BenchmarkGLM 5.3 FlashNemotron 3 UltraLeader
MMLU Pro86.1%85.8%GLM 5.3 Flash
LegalBench (Vals AI)83.9%82.1%GLM 5.3 Flash
CorpFin (Vals AI)Not measured65.5%Only Nemotron 3 Ultra measured
TaxEval (Vals AI)75.6%73.1%GLM 5.3 Flash
MedCode (Vals AI)Not measured38.6%Only Nemotron 3 Ultra measured
LMArena Text: science14841465GLM 5.3 Flash
LMArena Text: medicine and healthcare14751456GLM 5.3 Flash
LMArena Text: legal and government14731452GLM 5.3 Flash
LMArena Text: business and finance14601434GLM 5.3 Flash
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for GLM 5.3 Flash and Nemotron 3 Ultra
BenchmarkGLM 5.3 FlashNemotron 3 UltraLeader
Design Arena: websites12711145GLM 5.3 Flash
Design Arena: UI components13141135GLM 5.3 Flash
Design Arena: game dev12771138GLM 5.3 Flash
Design Arena: data viz12621141GLM 5.3 Flash
Design Arena: 3D13151131GLM 5.3 Flash
Design Arena: all code categories12811146GLM 5.3 Flash
Design Arena: SVG12841069GLM 5.3 Flash
Design Arena: ASCII art12671100GLM 5.3 Flash
LiveBench design77.2%Not measuredOnly GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index161
General benchmarks for GLM 5.3 Flash and Nemotron 3 Ultra
BenchmarkGLM 5.3 FlashNemotron 3 UltraLeader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%Not measuredOnly GLM 5.3 Flash measured
MedScribe (Vals AI)88.9%Not measuredOnly GLM 5.3 Flash measured
IFBenchNot measured81.4%Only Nemotron 3 Ultra measured
Long context reasoning (AA-LCR)80.0%79.3%GLM 5.3 Flash
DTBenchNot measured90.1%Only Nemotron 3 Ultra measured
LMCANot measured36.9%Only Nemotron 3 Ultra measured
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
LMArena Text14711445GLM 5.3 Flash
LMArena Text: instruction following14781418GLM 5.3 Flash
LMArena Text: creative writing14411399GLM 5.3 Flash
LMArena Vision1294Not measuredOnly GLM 5.3 Flash measured
LMArena Text: English14741455GLM 5.3 Flash
LMArena Text: non-English14621427GLM 5.3 Flash
LMArena Text: Chinese15311497GLM 5.3 Flash
LMArena Text: German14621472Nemotron 3 Ultra
LMArena Text: Japanese1444Not measuredOnly GLM 5.3 Flash measured
LMArena Text: Korean14361384GLM 5.3 Flash
LMArena Text: French14911472GLM 5.3 Flash
LMArena Text: Spanish14751455GLM 5.3 Flash
LMArena Text: Russian14651417GLM 5.3 Flash
LMArena Text: Polish14501385GLM 5.3 Flash
LMArena Text: multi-turn14691411GLM 5.3 Flash
LMArena Text: longer queries14811437GLM 5.3 Flash
LMArena Text: writing and language14551406GLM 5.3 Flash
LMArena Text: entertainment and media14401397GLM 5.3 Flash
LMArena Vision: English1295Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: Chinese1363Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: reading text1299Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: humor1279Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: creative writing1270Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.3 Flash and Nemotron 3 Ultra
BenchmarkGLM 5.3 FlashNemotron 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 Flash$0.0004Fits in one request
Nemotron 3 Ultra$0.0018Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

GLM 5.3 Flash$0.0090Fits in one request
Nemotron 3 Ultra$0.037Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Flash$0.035Fits in one request
Nemotron 3 Ultra$0.144Fits in one request

GLM 5.3 Flash 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 Flash and Nemotron 3 Ultra
SpecificationZ.ai GLM 5.3 FlashNVIDIA Nemotron 3 Ultra
MakerZ.aiNVIDIA
WeightsOpen weightsOpen weights
ReleasedAugust 26, 2026June 4, 2026
Context window1.05M262K
Input $/Mtok$0.15$0.60
Output $/Mtok$0.50$2.40
Coding index57.730.0
Independent measurements behind it63
Cost per solved task$0.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than Nemotron 3 Ultra for coding?

Pick GLM 5.3 Flash for coding: it scores 57.7 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra. Pick Nemotron 3 Ultra for work measured by LiveCodeBench (Vals AI) or Mystery game puzzles, where it leads.

Which is cheaper, GLM 5.3 Flash or Nemotron 3 Ultra?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Nemotron 3 Ultra costs $0.60 and $2.40. Cost per solved task is known for GLM 5.3 Flash only.

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

GLM 5.3 Flash, with 1.05M tokens against 262K.

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

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

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