Enter opens the highlighted result. Esc closes.

GLM 4.6V vs Nemotron 3 Nano 30B A3B

GLM 4.6V leads Nemotron 3 Nano 30B A3B on the Artificial Analysis Intelligence Index, 11.2 to 8.9, and Nemotron 3 Nano 30B A3B costs 4.1x less per output token ($0.22 vs $0.90 per million). Updated October 22, 2026; 31 benchmarks have a result for both.

GLM 4.6VZ.ai
Coding
No data
Overall
No data
Output $/M
$0.90
24
Nemotron 3 Nano 30B A3BNVIDIA
Coding
No data
Overall
No data
Output $/M
$0.22
7
vs boards won of 31 shared

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

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GLM 4.6V for work measured by LiveCodeBench (Artificial Analysis run) or τ²-Bench Telecom, where it leads.

Shared results
31
GLM 4.6V only
7
Nemotron 3 Nano 30B A3B only
11
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 4.6V not benchmarked, Nemotron 3 Nano 30B A3B not benchmarked.
Widest category
General, 10.4 points apart on average over 13 shared benchmarks.
Widest single gap
IFBench: GLM 4.6V 30.1% against Nemotron 3 Nano 30B A3B 71.1%, 41.0 points apart on a 0 to 100 scale.
Output price
GLM 4.6V $0.90 against Nemotron 3 Nano 30B A3B $0.22 per million output tokens, 4.1x apart.
Context window
GLM 4.6V takes 131K 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 4.6VBarsNemotron 3 Nano 30B A3BTies
Coding31
Intelligence10
Agentic work01
Reasoning32
Math02
Knowledge50
General121
All shared boards247
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
Coding benchmarks for GLM 4.6V and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6VNemotron 3 Nano 30B A3BLeader
AA Coding IndexNot measured14.4Only Nemotron 3 Nano 30B A3B measured
LiveCodeBench (Artificial Analysis run)41.1%74.1%Nemotron 3 Nano 30B A3B
SciCodeNot measured30.6%Only Nemotron 3 Nano 30B A3B measured
Terminal-Bench Hard (Artificial Analysis run)14.4%13.6%GLM 4.6V
LMArena Text: coding13891378GLM 4.6V
LMArena Text: software and IT13911383GLM 4.6V
Neither model has a result on the other 37 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.6V and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6VNemotron 3 Nano 30B A3BLeader
AA Intelligence Index11.28.9GLM 4.6V
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.6V and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6VNemotron 3 Nano 30B A3BLeader
AA Agentic IndexNot measured1.0Only Nemotron 3 Nano 30B A3B measured
τ²-Bench Telecom31.6%40.9%Nemotron 3 Nano 30B A3B
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for GLM 4.6V and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6VNemotron 3 Nano 30B A3BLeader
GPQA Diamond (Artificial Analysis run)71.9%75.7%Nemotron 3 Nano 30B A3B
Humanity's Last Exam (Artificial Analysis run)9.6%11.4%Nemotron 3 Nano 30B A3B
LMArena Text: hard prompts13671348GLM 4.6V
LMArena Text: expert13711355GLM 4.6V
LMArena Text: hard prompts in English13911376GLM 4.6V
LMArena Vision: diagrams1182Not measuredOnly GLM 4.6V measured
LMArena Vision: homework1155Not measuredOnly GLM 4.6V measured
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 4.6V and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6VNemotron 3 Nano 30B A3BLeader
AA Math Index85.391.0Nemotron 3 Nano 30B A3B
AIME 2025 (Artificial Analysis run)85.3%91.0%Nemotron 3 Nano 30B A3B
LMArena Text: mathNot measured1371Only Nemotron 3 Nano 30B A3B measured
LMArena Text: mathematical workNot measured1375Only Nemotron 3 Nano 30B A3B measured
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for GLM 4.6V and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6VNemotron 3 Nano 30B A3BLeader
MMLU Pro (Artificial Analysis run)79.9%79.4%GLM 4.6V
LMArena Text: science13891353GLM 4.6V
LMArena Text: medicine and healthcare13891349GLM 4.6V
LMArena Text: legal and government13931341GLM 4.6V
LMArena Text: business and finance13591346GLM 4.6V
Neither model has a result on the other 15 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GLM 4.6V and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6VNemotron 3 Nano 30B A3BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index121
General benchmarks for GLM 4.6V and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6VNemotron 3 Nano 30B A3BLeader
IFBench30.1%71.1%Nemotron 3 Nano 30B A3B
Long context reasoning (AA-LCR)48.7%38.0%GLM 4.6V
LMArena Text13761348GLM 4.6V
LMArena Text: instruction following13501303GLM 4.6V
LMArena Text: creative writing13471269GLM 4.6V
LMArena Vision1164Not measuredOnly GLM 4.6V measured
LMArena Text: English13951377GLM 4.6V
LMArena Text: non-English13581320GLM 4.6V
LMArena Text: Chinese14251383GLM 4.6V
LMArena Text: GermanNot measured1348Only Nemotron 3 Nano 30B A3B measured
LMArena Text: JapaneseNot measured1268Only Nemotron 3 Nano 30B A3B measured
LMArena Text: KoreanNot measured1269Only Nemotron 3 Nano 30B A3B measured
LMArena Text: FrenchNot measured1396Only Nemotron 3 Nano 30B A3B measured
LMArena Text: SpanishNot measured1376Only Nemotron 3 Nano 30B A3B measured
LMArena Text: Russian13391304GLM 4.6V
LMArena Text: PolishNot measured1303Only Nemotron 3 Nano 30B A3B measured
LMArena Text: multi-turn13591319GLM 4.6V
LMArena Text: longer queries13571300GLM 4.6V
LMArena Text: writing and language13471283GLM 4.6V
LMArena Text: entertainment and media13431293GLM 4.6V
LMArena Vision: English1179Not measuredOnly GLM 4.6V measured
LMArena Vision: Chinese1217Not measuredOnly GLM 4.6V measured
LMArena Vision: reading text1171Not measuredOnly GLM 4.6V measured
LMArena Vision: creative writing1113Not measuredOnly GLM 4.6V measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.6V and Nemotron 3 Nano 30B A3B
BenchmarkGLM 4.6VNemotron 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 4.6V$0.0008Fits 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 4.6V$0.018Fits 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 4.6V$0.069Exceeds 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 4.6V and Nemotron 3 Nano 30B A3B
SpecificationZ.ai GLM 4.6VNVIDIA Nemotron 3 Nano 30B A3B
MakerZ.aiNVIDIA
WeightsOpen weightsOpen weights
ReleasedDecember 8, 2025December 14, 2025
Context window131K262K
Input $/Mtok$0.30$0.055
Output $/Mtok$0.90$0.22
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.6V for work measured by LiveCodeBench (Artificial Analysis run) or τ²-Bench Telecom, where it leads.

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

GLM 4.6V costs $0.30 per million input tokens and $0.90 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 4.6V or Nemotron 3 Nano 30B A3B?

Nemotron 3 Nano 30B A3B, with 262K tokens against 131K.

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

31 benchmarks have a result for both models as of October 22, 2026. GLM 4.6V's coding index rests on 0 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