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GLM 5.3 vs Nemotron 3 Super

GLM 5.3 leads Nemotron 3 Super on the Artificial Analysis Intelligence Index, 44.8 to 12.8, and Nemotron 3 Super costs 9.8x less per output token ($0.45 vs $4.40 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace GLM 5.3 Replace Nemotron 3 Super
GLM 5.3Z.ai
Coding
70.6
Overall
67.9
Output $/M
$4.40
35
Nemotron 3 SuperNVIDIA
Coding
No data
Overall
No data
Output $/M
$0.45
0
vs boards won of 35 shared

GLM 5.3 or Nemotron 3 Super: which to pick

Only GLM 5.3 has a coding score, 70.6 on the Vibe Coding Index; Nemotron 3 Super has none, so the two cannot be ranked on coding.

Pick Nemotron 3 Super for output tokens 9.8x cheaper ($0.45 vs $4.40 per million).

Model AGLM 5.3Z.ai70.6/1006 independent benchmarks$0.36 per solved taskModel BNemotron 3 SuperNVIDIANot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
35
GLM 5.3 only
68
Nemotron 3 Super only
4
Like-for-like categories
7 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 Super not benchmarked.
Widest category
Agentic work, 51.4 points apart on average over 1 shared benchmark.
Widest single gap
AA Agentic Index: GLM 5.3 53.1 against Nemotron 3 Super 1.7, 51.4 points apart on a 0 to 100 scale.
Output price
GLM 5.3 $4.40 against Nemotron 3 Super $0.45 per million output tokens, 9.8x apart.
Context window
GLM 5.3 takes 1.05M tokens, Nemotron 3 Super 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 SuperTies
Coding60
Intelligence10
Agentic work10
Reasoning50
Math20
Knowledge40
General160
All shared boards350
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for GLM 5.3 and Nemotron 3 Super
BenchmarkGLM 5.3Nemotron 3 SuperLeader
LiveBench coding82.8%Not measuredOnly GLM 5.3 measured
LMArena WebDev1621Not measuredOnly GLM 5.3 measured
AA Coding Index74.837.7GLM 5.3
LiveCodeBench (Vals AI)80.5%Not measuredOnly GLM 5.3 measured
SWE-bench Verified (Vals AI)95.4%Not measuredOnly GLM 5.3 measured
Terminal-Bench 4 (Vals AI)38.9%Not measuredOnly GLM 5.3 measured
Vibe Code Bench (Vals AI)78.1%Not measuredOnly GLM 5.3 measured
Code migration (Vals AI)44.2%Not measuredOnly GLM 5.3 measured
ProgramBench (Vals AI)1.5%Not measuredOnly GLM 5.3 measured
IOI (Vals AI)68.4%Not measuredOnly GLM 5.3 measured
Terminal-Bench 2.1 (Vals AI)71.5%Not measuredOnly GLM 5.3 measured
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%36.2%GLM 5.3
Terminal-Bench Hard (Artificial Analysis run)Not measured28.8%Only Nemotron 3 Super measured
FrontierCode40.1%Not measuredOnly GLM 5.3 measured
FrontierSWE30.2%Not measuredOnly GLM 5.3 measured
WeirdML75.4%38.0%GLM 5.3
ALE-Bench1317.4213.9GLM 5.3
LMArena Text: coding14971403GLM 5.3
LMArena Text: software and IT14931409GLM 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 index10
Intelligence benchmarks for GLM 5.3 and Nemotron 3 Super
BenchmarkGLM 5.3Nemotron 3 SuperLeader
AA Intelligence Index44.812.8GLM 5.3
Epoch Capabilities Index156.0Not measuredOnly GLM 5.3 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5.3 and Nemotron 3 Super
BenchmarkGLM 5.3Nemotron 3 SuperLeader
AA Agentic Index53.11.7GLM 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%Not measuredOnly GLM 5.3 measured
Tax Agent Bench (Vals AI)39.7%Not measuredOnly GLM 5.3 measured
Legal Research Bench (Vals AI)49.0%Not measuredOnly GLM 5.3 measured
Harvey's Legal Agent Benchmark (Vals AI)14.6%Not measuredOnly GLM 5.3 measured
Excel Modeling Benchmark (Vals AI)56.3%Not measuredOnly GLM 5.3 measured
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly GLM 5.3 measured
τ²-Bench TelecomNot measured67.8%Only Nemotron 3 Super measured
APEX-Agents56.6%Not measuredOnly GLM 5.3 measured
Vending-Bench 2$8,164Not measuredOnly GLM 5.3 measured
MCP Atlas84.2%Not measuredOnly GLM 5.3 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GLM 5.3 and Nemotron 3 Super
BenchmarkGLM 5.3Nemotron 3 SuperLeader
GPQA Diamond88.1%Not measuredOnly GLM 5.3 measured
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%80.0%GLM 5.3
Humanity's Last Exam (Artificial Analysis run)42.3%20.8%GLM 5.3
GPQA Diamond (Epoch AI run)90.9%Not measuredOnly GLM 5.3 measured
Chess puzzles37.0%Not measuredOnly GLM 5.3 measured
Mystery game puzzles33.0%Not measuredOnly GLM 5.3 measured
LMArena Text: hard prompts14901386GLM 5.3
LMArena Text: expert15141398GLM 5.3
LMArena Text: hard prompts in English14961397GLM 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 index20
Math benchmarks for GLM 5.3 and Nemotron 3 Super
BenchmarkGLM 5.3Nemotron 3 SuperLeader
OTIS Mock AIME91.1%Not measuredOnly GLM 5.3 measured
FrontierMath, tiers 1 to 368.8%Not measuredOnly GLM 5.3 measured
FrontierMath, tier 429.3%Not measuredOnly GLM 5.3 measured
ProofBench49.0%Not measuredOnly GLM 5.3 measured
LMArena Text: math14951380GLM 5.3
LMArena Text: mathematical work14971405GLM 5.3
MathArenaNot measured16.6%Only Nemotron 3 Super measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 5.3 and Nemotron 3 Super
BenchmarkGLM 5.3Nemotron 3 SuperLeader
MMLU Pro86.8%Not measuredOnly GLM 5.3 measured
LegalBench (Vals AI)84.8%Not measuredOnly GLM 5.3 measured
TaxEval (Vals AI)72.4%Not measuredOnly GLM 5.3 measured
MedCode (Vals AI)42.9%Not measuredOnly GLM 5.3 measured
SimpleQA Verified41.0%Not measuredOnly GLM 5.3 measured
LMArena Text: science14981387GLM 5.3
LMArena Text: medicine and healthcare14811383GLM 5.3
LMArena Text: legal and government14731392GLM 5.3
LMArena Text: business and finance14591364GLM 5.3
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for GLM 5.3 and Nemotron 3 Super
BenchmarkGLM 5.3Nemotron 3 SuperLeader
Design Arena: websites1294Not measuredOnly GLM 5.3 measured
Design Arena: UI components1311Not measuredOnly GLM 5.3 measured
Design Arena: game dev1311Not measuredOnly GLM 5.3 measured
Design Arena: data viz1261Not measuredOnly GLM 5.3 measured
Design Arena: 3D1331Not measuredOnly GLM 5.3 measured
Design Arena: all code categories1303Not measuredOnly GLM 5.3 measured
Design Arena: SVG1292Not measuredOnly GLM 5.3 measured
Design Arena: ASCII art1208Not measuredOnly GLM 5.3 measured
LiveBench design77.3%Not measuredOnly GLM 5.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index160
General benchmarks for GLM 5.3 and Nemotron 3 Super
BenchmarkGLM 5.3Nemotron 3 SuperLeader
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 measured71.5%Only Nemotron 3 Super measured
Long context reasoning (AA-LCR)79.7%65.7%GLM 5.3
DTBench87.7%Not measuredOnly GLM 5.3 measured
LMCA55.5%Not measuredOnly GLM 5.3 measured
LMArena Text14741378GLM 5.3
LMArena Text: instruction following14791347GLM 5.3
LMArena Text: creative writing14581317GLM 5.3
LMArena Text: English14821400GLM 5.3
LMArena Text: non-English14591356GLM 5.3
LMArena Text: Chinese15321431GLM 5.3
LMArena Text: German14881341GLM 5.3
LMArena Text: Japanese1460Not measuredOnly GLM 5.3 measured
LMArena Text: Korean1460Not measuredOnly GLM 5.3 measured
LMArena Text: French15031403GLM 5.3
LMArena Text: Spanish14621418GLM 5.3
LMArena Text: Russian14691336GLM 5.3
LMArena Text: Polish14661346GLM 5.3
LMArena Text: multi-turn14721369GLM 5.3
LMArena Text: longer queries14831362GLM 5.3
LMArena Text: writing and language14691332GLM 5.3
LMArena Text: entertainment and media14471336GLM 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 Super
BenchmarkGLM 5.3Nemotron 3 SuperLeader
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 Super$0.0003Fits in one request

Nemotron 3 Super costs less

Repository review

50K input + 3K output tokens

GLM 5.3$0.083Fits in one request
Nemotron 3 Super$0.0056Fits in one request

Nemotron 3 Super costs less

Agent loop

200K input + 10K output tokens

GLM 5.3$0.324Fits in one request
Nemotron 3 Super$0.021Fits in one request

Nemotron 3 Super 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 Super
SpecificationZ.ai GLM 5.3NVIDIA Nemotron 3 Super
MakerZ.aiNVIDIA
WeightsOpen weightsOpen weights
ReleasedAugust 18, 2026March 11, 2026
Context window1.05M262K
Input $/Mtok$1.40$0.085
Output $/Mtok$4.40$0.45
Coding index70.6Not benchmarked
Independent measurements behind it60
Cost per solved task$0.36Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 better than Nemotron 3 Super for coding?

Only GLM 5.3 has a coding score, 70.6 on the Vibe Coding Index; Nemotron 3 Super has none, so the two cannot be ranked on coding. Pick Nemotron 3 Super for output tokens 9.8x cheaper ($0.45 vs $4.40 per million).

Which is cheaper, GLM 5.3 or Nemotron 3 Super?

GLM 5.3 costs $1.40 per million input tokens and $4.40 per million output tokens; Nemotron 3 Super costs $0.085 and $0.45. Cost per solved task is known for GLM 5.3 only.

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

GLM 5.3, with 1.05M tokens against 262K.

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

35 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 Super's on 0. Where only one model has a result, the page says so instead of naming a winner.

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