Enter opens the highlighted result. Esc closes.

GLM 4.6 vs Nemotron 3 Nano 30B A3B

GLM 4.6 leads Nemotron 3 Nano 30B A3B on the Artificial Analysis Intelligence Index, 18.5 to 8.9, and Nemotron 3 Nano 30B A3B costs 10.0x less per output token ($0.22 vs $2.20 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

GLM 4.6Z.ai
Coding
8.8
Overall
33.4
Output $/M
$2.20
36
Nemotron 3 Nano 30B A3BNVIDIA
Coding
No data
Overall
No data
Output $/M
$0.22
4
vs boards won of 40 shared

GLM 4.6 or Nemotron 3 Nano 30B A3B: which to pick

Only GLM 4.6 has a coding score, 8.8 on the Vibe Coding Index; Nemotron 3 Nano 30B A3B has none, so the two cannot be ranked on coding.

Pick Nemotron 3 Nano 30B A3B for output tokens 10.0x cheaper ($0.22 vs $2.20 per million) and a larger context window (262K against 205K tokens).

Shared results
40
GLM 4.6 only
30
Nemotron 3 Nano 30B A3B only
2
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 4.6 8.8 from 2 benchmarks, Nemotron 3 Nano 30B A3B not benchmarked.
Widest category
Agentic work, 36.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 4.6 76.9% against Nemotron 3 Nano 30B A3B 40.9%, 36.0 points apart on a 0 to 100 scale.
Output price
GLM 4.6 $2.20 against Nemotron 3 Nano 30B A3B $0.22 per million output tokens, 10.0x apart.
Context window
GLM 4.6 takes 205K tokens, Nemotron 3 Nano 30B A3B 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 Nano 30B A3BTies
Coding41
Intelligence10
Agentic work10
Reasoning50
Math22
Knowledge50
General181
All shared boards364
CodingLike-for-likeSix of these boards feed the Vibe Coding Index41
Coding benchmarks for GLM 4.6 and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6Nemotron 3 Nano 30B A3BLeader
SWE-bench Verified68.2%Not measuredOnly GLM 4.6 measured
LMArena WebDev1341Not measuredOnly GLM 4.6 measured
AA Coding Index45.814.4GLM 4.6
LiveCodeBench (Vals AI)81.0%Not measuredOnly GLM 4.6 measured
Vibe Code Bench (Vals AI)3.1%Not measuredOnly GLM 4.6 measured
LiveCodeBench (Artificial Analysis run)69.5%74.1%Nemotron 3 Nano 30B A3B
SciCodeNot measured30.6%Only Nemotron 3 Nano 30B A3B measured
Terminal-Bench Hard (Artificial Analysis run)28.8%13.6%GLM 4.6
Terminal-Bench24.5%Not measuredOnly GLM 4.6 measured
ALE-Bench340.8Not measuredOnly GLM 4.6 measured
LMArena Text: coding14491378GLM 4.6
LMArena Text: software and IT14551383GLM 4.6
LMArena WebDev: HTML1350Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.6 and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6Nemotron 3 Nano 30B A3BLeader
AA Intelligence Index18.58.9GLM 4.6
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 4.6 and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6Nemotron 3 Nano 30B A3BLeader
AA Agentic IndexNot measured1.0Only Nemotron 3 Nano 30B A3B 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
τ²-Bench Telecom76.9%40.9%GLM 4.6
Berkeley Function Calling Leaderboard (BFCL)72.4%Not measuredOnly GLM 4.6 measured
BrowseComp-Plus48.2%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GLM 4.6 and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6Nemotron 3 Nano 30B A3BLeader
GPQA Diamond74.5%Not measuredOnly GLM 4.6 measured
GPQA Diamond (Artificial Analysis run)78.0%75.7%GLM 4.6
Humanity's Last Exam (Artificial Analysis run)14.5%11.4%GLM 4.6
LMArena Text: hard prompts14401348GLM 4.6
LMArena Text: expert14321355GLM 4.6
LMArena Text: hard prompts in English14451376GLM 4.6
Kagi LLM Benchmark45.7%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for GLM 4.6 and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6Nemotron 3 Nano 30B A3BLeader
AIME92.7%Not measuredOnly GLM 4.6 measured
MGSM (Vals AI)89.8%Not measuredOnly GLM 4.6 measured
AA Math Index86.091.0Nemotron 3 Nano 30B A3B
AIME 2025 (Artificial Analysis run)86.0%91.0%Nemotron 3 Nano 30B A3B
LMArena Text: math14321371GLM 4.6
LMArena Text: mathematical work14471375GLM 4.6
MathArena16.3%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for GLM 4.6 and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6Nemotron 3 Nano 30B A3BLeader
MMLU Pro82.2%Not measuredOnly GLM 4.6 measured
LegalBench (Vals AI)79.6%Not measuredOnly GLM 4.6 measured
CorpFin (Vals AI)56.8%Not measuredOnly GLM 4.6 measured
TaxEval (Vals AI)66.2%Not measuredOnly GLM 4.6 measured
MedQA (Vals AI)92.2%Not measuredOnly GLM 4.6 measured
MMLU Pro (Artificial Analysis run)82.9%79.4%GLM 4.6
LMArena Text: science14561353GLM 4.6
LMArena Text: medicine and healthcare14551349GLM 4.6
LMArena Text: legal and government14481341GLM 4.6
LMArena Text: business and finance14161346GLM 4.6
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GLM 4.6 and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6Nemotron 3 Nano 30B A3BLeader
Design Arena: websites1174Not measuredOnly GLM 4.6 measured
Design Arena: UI components1145Not measuredOnly GLM 4.6 measured
Design Arena: game dev1150Not measuredOnly GLM 4.6 measured
Design Arena: data viz1161Not measuredOnly GLM 4.6 measured
Design Arena: 3D1128Not measuredOnly GLM 4.6 measured
Design Arena: all code categories1165Not measuredOnly GLM 4.6 measured
Design Arena: SVG1108Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index181
General benchmarks for GLM 4.6 and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6Nemotron 3 Nano 30B A3BLeader
IFBench43.4%71.1%Nemotron 3 Nano 30B A3B
Long context reasoning (AA-LCR)54.0%38.0%GLM 4.6
LMArena Text14401348GLM 4.6
LMArena Text: instruction following14101303GLM 4.6
LMArena Text: creative writing14121269GLM 4.6
LMArena Text: English14491377GLM 4.6
LMArena Text: non-English14261320GLM 4.6
LMArena Text: Chinese14991383GLM 4.6
LMArena Text: German14471348GLM 4.6
LMArena Text: Japanese13931268GLM 4.6
LMArena Text: Korean14001269GLM 4.6
LMArena Text: French14591396GLM 4.6
LMArena Text: Spanish14361376GLM 4.6
LMArena Text: Russian14181304GLM 4.6
LMArena Text: Polish14471303GLM 4.6
LMArena Text: multi-turn14271319GLM 4.6
LMArena Text: longer queries14221300GLM 4.6
LMArena Text: writing and language14151283GLM 4.6
LMArena Text: entertainment and media14091293GLM 4.6
Neither model has a result on the other 29 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 Nano 30B A3B
BenchmarkGLM 4.6Nemotron 3 Nano 30B A3BLeader
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 Nano 30B A3B$0.0002Fits in one request

Nemotron 3 Nano 30B A3B costs less

Repository review

50K input + 3K output tokens

GLM 4.6$0.037Fits in one request
Nemotron 3 Nano 30B A3B$0.0034Fits in one request

Nemotron 3 Nano 30B A3B costs less

Agent loop

200K input + 10K output tokens

GLM 4.6$0.142Exceeds the context window
Nemotron 3 Nano 30B A3B$0.013Fits in one request

Nemotron 3 Nano 30B A3B 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 Nano 30B A3B
SpecificationZ.ai GLM 4.6NVIDIA Nemotron 3 Nano 30B A3B
MakerZ.aiNVIDIA
WeightsOpen weightsOpen weights
ReleasedSeptember 30, 2025December 14, 2025
Context window205K262K
Input $/Mtok$0.60$0.055
Output $/Mtok$2.20$0.22
Coding index8.8Not benchmarked
Independent measurements behind it20
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6 better than Nemotron 3 Nano 30B A3B for coding?

Only GLM 4.6 has a coding score, 8.8 on the Vibe Coding Index; Nemotron 3 Nano 30B A3B has none, so the two cannot be ranked on coding. Pick Nemotron 3 Nano 30B A3B for output tokens 10.0x cheaper ($0.22 vs $2.20 per million) and a larger context window (262K against 205K tokens).

Which is cheaper, GLM 4.6 or Nemotron 3 Nano 30B A3B?

GLM 4.6 costs $0.60 per million input tokens and $2.20 per million output tokens; Nemotron 3 Nano 30B A3B costs $0.055 and $0.22. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.6 or Nemotron 3 Nano 30B A3B?

Nemotron 3 Nano 30B A3B, with 262K tokens against 205K.

How many benchmarks is the GLM 4.6 vs Nemotron 3 Nano 30B A3B comparison based on?

40 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 Nano 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next