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Nova Premier 1.0 vs GLM 4.6

Updated October 21, 2026. 13 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Nova Premier 1.0Amazon
Coding
No data
Overall
9.2
Output $/M
$12.50
0
GLM 4.6Z.ai
Coding
8.8
Overall
18.5
Output $/M
$2.20
13
vs boards won of 13 shared

Decision reading

Only GLM 4.6 has a coding score, 8.8 on the Vibe Coding Index; Nova Premier 1.0 has none, so the two cannot be ranked on coding.

Nova Premier 1.0 has the edge where the context window is larger, 1M against 205K tokens.

Shared results
13
Nova Premier 1.0 only
0
GLM 4.6 only
53
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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
Nova Premier 1.0 not benchmarked, GLM 4.6 8.8 from 2 benchmarks.
Widest category
Math, 68.7 points apart on average over 2 shared benchmarks.
Widest single gap
AA Math Index: Nova Premier 1.0 17.3 against GLM 4.6 86.0, 68.7 points apart on a 0 to 100 scale.
Output price
Nova Premier 1.0 $12.50 against GLM 4.6 $2.20 per million output tokens, 5.7x apart.
Context window
Nova Premier 1.0 takes 1M tokens, GLM 4.6 205K.

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
CategoryNova Premier 1.0BarsGLM 4.6Ties
Coding03
Intelligence01
Agentic work01
Reasoning02
Math02
Knowledge01
Web design01
General02
All shared boards013
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Nova Premier 1.0 and GLM 4.6
BenchmarkNova Premier 1.0GLM 4.6Leader
SWE-bench VerifiedNot measured68.2%Only GLM 4.6 measured
LMArena WebDevNot measured1341Only GLM 4.6 measured
AA Coding IndexNot measured45.8Only GLM 4.6 measured
LiveCodeBench (Vals AI)Not measured81.0%Only GLM 4.6 measured
Vibe Code Bench (Vals AI)Not measured3.1%Only GLM 4.6 measured
LiveCodeBench (Artificial Analysis run)31.7%69.5%GLM 4.6
Terminal-Bench Hard (Artificial Analysis run)6.8%28.8%GLM 4.6
Terminal-BenchNot measured24.5%Only GLM 4.6 measured
ALE-Bench147.4340.8GLM 4.6
LMArena Text: codingNot measured1449Only GLM 4.6 measured
LMArena Text: software and ITNot measured1455Only GLM 4.6 measured
LMArena WebDev: HTMLNot measured1350Only GLM 4.6 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Premier 1.0 and GLM 4.6
BenchmarkNova Premier 1.0GLM 4.6Leader
AA Intelligence Index9.218.5GLM 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 index01
Agentic work benchmarks for Nova Premier 1.0 and GLM 4.6
BenchmarkNova Premier 1.0GLM 4.6Leader
Design Arena: agents building full-stack appsNot measured1029Only GLM 4.6 measured
Design Arena: agents building mobile appsNot measured1096Only GLM 4.6 measured
Design Arena: agents building Android appsNot measured1091Only GLM 4.6 measured
Design Arena: agents building Godot gamesNot measured1180Only GLM 4.6 measured
τ²-Bench Telecom38.3%76.9%GLM 4.6
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Nova Premier 1.0 and GLM 4.6
BenchmarkNova Premier 1.0GLM 4.6Leader
GPQA DiamondNot measured74.5%Only GLM 4.6 measured
GPQA Diamond (Artificial Analysis run)56.9%78.0%GLM 4.6
Humanity's Last Exam (Artificial Analysis run)4.2%14.5%GLM 4.6
LMArena Text: hard promptsNot measured1440Only GLM 4.6 measured
LMArena Text: expertNot measured1432Only GLM 4.6 measured
LMArena Text: hard prompts in EnglishNot measured1445Only GLM 4.6 measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Nova Premier 1.0 and GLM 4.6
BenchmarkNova Premier 1.0GLM 4.6Leader
AIMENot measured92.7%Only GLM 4.6 measured
MGSM (Vals AI)Not measured89.8%Only GLM 4.6 measured
AA Math Index17.386.0GLM 4.6
AIME 2025 (Artificial Analysis run)17.3%86.0%GLM 4.6
LMArena Text: mathNot measured1432Only GLM 4.6 measured
LMArena Text: mathematical workNot measured1447Only 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 index01
Knowledge benchmarks for Nova Premier 1.0 and GLM 4.6
BenchmarkNova Premier 1.0GLM 4.6Leader
MMLU ProNot measured82.2%Only GLM 4.6 measured
LegalBench (Vals AI)Not measured79.6%Only GLM 4.6 measured
CorpFin (Vals AI)Not measured56.8%Only GLM 4.6 measured
TaxEval (Vals AI)Not measured66.2%Only GLM 4.6 measured
MedQA (Vals AI)Not measured92.2%Only GLM 4.6 measured
MMLU Pro (Artificial Analysis run)73.3%82.9%GLM 4.6
LMArena Text: scienceNot measured1456Only GLM 4.6 measured
LMArena Text: medicine and healthcareNot measured1455Only GLM 4.6 measured
LMArena Text: legal and governmentNot measured1448Only GLM 4.6 measured
LMArena Text: business and financeNot measured1416Only GLM 4.6 measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Nova Premier 1.0 and GLM 4.6
BenchmarkNova Premier 1.0GLM 4.6Leader
Design Arena: websites8351174GLM 4.6
Design Arena: UI componentsNot measured1148Only GLM 4.6 measured
Design Arena: game devNot measured1151Only GLM 4.6 measured
Design Arena: data vizNot measured1161Only GLM 4.6 measured
Design Arena: 3DNot measured1129Only GLM 4.6 measured
Design Arena: all code categoriesNot measured1166Only GLM 4.6 measured
Design Arena: SVGNot measured1109Only 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 index02
General benchmarks for Nova Premier 1.0 and GLM 4.6
BenchmarkNova Premier 1.0GLM 4.6Leader
IFBench36.2%43.4%GLM 4.6
Long context reasoning (AA-LCR)34.3%54.0%GLM 4.6
LMArena TextNot measured1440Only GLM 4.6 measured
LMArena Text: instruction followingNot measured1410Only GLM 4.6 measured
LMArena Text: creative writingNot measured1412Only GLM 4.6 measured
LMArena Text: EnglishNot measured1449Only GLM 4.6 measured
LMArena Text: non-EnglishNot measured1426Only GLM 4.6 measured
LMArena Text: ChineseNot measured1499Only GLM 4.6 measured
LMArena Text: GermanNot measured1447Only GLM 4.6 measured
LMArena Text: JapaneseNot measured1393Only GLM 4.6 measured
LMArena Text: KoreanNot measured1400Only GLM 4.6 measured
LMArena Text: FrenchNot measured1459Only GLM 4.6 measured
LMArena Text: SpanishNot measured1436Only GLM 4.6 measured
LMArena Text: RussianNot measured1418Only GLM 4.6 measured
LMArena Text: PolishNot measured1447Only GLM 4.6 measured
LMArena Text: multi-turnNot measured1427Only GLM 4.6 measured
LMArena Text: longer queriesNot measured1422Only GLM 4.6 measured
LMArena Text: writing and languageNot measured1415Only GLM 4.6 measured
LMArena Text: entertainment and mediaNot measured1409Only GLM 4.6 measured
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nova Premier 1.0 and GLM 4.6
BenchmarkNova Premier 1.0GLM 4.6Leader
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

Nova Premier 1.0$0.0088Fits in one request
GLM 4.6$0.0017Fits in one request

GLM 4.6 costs less

Repository review

50K input + 3K output tokens

Nova Premier 1.0$0.163Fits in one request
GLM 4.6$0.037Fits in one request

GLM 4.6 costs less

Agent loop

200K input + 10K output tokens

Nova Premier 1.0$0.625Fits in one request
GLM 4.6$0.142Exceeds the context window

GLM 4.6 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 Nova Premier 1.0 and GLM 4.6
SpecificationAmazon Nova Premier 1.0Z.ai GLM 4.6
MakerAmazonZ.ai
WeightsNo public weights listedOpen weights
ReleasedOctober 31, 2025September 30, 2025
Context window1M205K
Input $/Mtok$2.50$0.60
Output $/Mtok$12.50$2.20
Coding indexNot benchmarked8.8
Independent measurements behind it02
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Premier 1.0 better than GLM 4.6 for coding?

Only GLM 4.6 has a coding score, 8.8 on the Vibe Coding Index; Nova Premier 1.0 has none, so the two cannot be ranked on coding. Nova Premier 1.0 has the edge where the context window is larger, 1M against 205K tokens.

Which is cheaper, Nova Premier 1.0 or GLM 4.6?

Nova Premier 1.0 costs $2.50 per million input tokens and $12.50 per million output tokens; GLM 4.6 costs $0.60 and $2.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova Premier 1.0 or GLM 4.6?

Nova Premier 1.0, with 1M tokens against 205K.

How many benchmarks is the Nova Premier 1.0 vs GLM 4.6 comparison based on?

13 benchmarks have a result for both models as of October 21, 2026. Nova Premier 1.0's coding index rests on 0 independent benchmarks and GLM 4.6's on 2. Where only one model has a result, the page says so instead of naming a winner.

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