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Nova Lite 1.0 vs GLM 4.6V

Updated October 21, 2026. 33 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Nova Lite 1.0Amazon
Coding
No data
Overall
6.7
Output $/M
$0.24
1
GLM 4.6VZ.ai
Coding
No data
Overall
11.2
Output $/M
$0.90
32
vs boards won of 33 shared

Decision reading

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

Nova Lite 1.0 has the edge where output tokens cost 3.8x less, and where the context window is larger, 300K against 131K tokens.

Shared results
33
Nova Lite 1.0 only
8
GLM 4.6V only
5
Like-for-like categories
7 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 Lite 1.0 not benchmarked, GLM 4.6V not benchmarked.
Widest category
Math, 78.3 points apart on average over 2 shared benchmarks.
Widest single gap
AIME 2025 (Artificial Analysis run): Nova Lite 1.0 7.0% against GLM 4.6V 85.3%, 78.3 points apart on a 0 to 100 scale.
Output price
Nova Lite 1.0 $0.24 against GLM 4.6V $0.90 per million output tokens, 3.8x apart.
Context window
Nova Lite 1.0 takes 300K tokens, GLM 4.6V 131K.

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 Lite 1.0BarsGLM 4.6VTies
Coding04
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge05
General114
All shared boards132
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Nova Lite 1.0 and GLM 4.6V
BenchmarkNova Lite 1.0GLM 4.6VLeader
LiveCodeBench (Artificial Analysis run)16.7%41.1%GLM 4.6V
Terminal-Bench Hard (Artificial Analysis run)0.8%14.4%GLM 4.6V
LMArena Text: coding12391389GLM 4.6V
LMArena Text: software and IT12411391GLM 4.6V
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Lite 1.0 and GLM 4.6V
BenchmarkNova Lite 1.0GLM 4.6VLeader
AA Intelligence Index6.711.2GLM 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 Nova Lite 1.0 and GLM 4.6V
BenchmarkNova Lite 1.0GLM 4.6VLeader
τ²-Bench Telecom17.5%31.6%GLM 4.6V
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Nova Lite 1.0 and GLM 4.6V
BenchmarkNova Lite 1.0GLM 4.6VLeader
GPQA Diamond (Artificial Analysis run)43.3%71.9%GLM 4.6V
Humanity's Last Exam (Artificial Analysis run)4.3%9.6%GLM 4.6V
LMArena Text: hard prompts12201367GLM 4.6V
LMArena Text: expert12011371GLM 4.6V
LMArena Text: hard prompts in English12261391GLM 4.6V
LMArena Vision: diagramsNot measured1182Only GLM 4.6V measured
LMArena Vision: homeworkNot measured1155Only GLM 4.6V measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Nova Lite 1.0 and GLM 4.6V
BenchmarkNova Lite 1.0GLM 4.6VLeader
AA Math Index7.085.3GLM 4.6V
AIME 2025 (Artificial Analysis run)7.0%85.3%GLM 4.6V
LMArena Text: math1227Not measuredOnly Nova Lite 1.0 measured
LMArena Text: mathematical work1235Not measuredOnly Nova Lite 1.0 measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Nova Lite 1.0 and GLM 4.6V
BenchmarkNova Lite 1.0GLM 4.6VLeader
MMLU Pro (Artificial Analysis run)59.0%79.9%GLM 4.6V
MMLU77.0%Not measuredOnly Nova Lite 1.0 measured
LMArena Text: science12321389GLM 4.6V
LMArena Text: medicine and healthcare12131389GLM 4.6V
LMArena Text: legal and government12381393GLM 4.6V
LMArena Text: business and finance12191359GLM 4.6V
Neither model has a result on the other 11 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Nova Lite 1.0 and GLM 4.6V
BenchmarkNova Lite 1.0GLM 4.6VLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index114
General benchmarks for Nova Lite 1.0 and GLM 4.6V
BenchmarkNova Lite 1.0GLM 4.6VLeader
IFBench34.1%30.1%Nova Lite 1.0
Long context reasoning (AA-LCR)19.0%48.7%GLM 4.6V
LMArena Text12291376GLM 4.6V
LMArena Text: instruction following12051350GLM 4.6V
LMArena Text: creative writing11971347GLM 4.6V
LMArena Vision9901164GLM 4.6V
LMArena Text: English12431395GLM 4.6V
LMArena Text: non-English12081358GLM 4.6V
LMArena Text: Chinese12251425GLM 4.6V
LMArena Text: German1229Not measuredOnly Nova Lite 1.0 measured
LMArena Text: Japanese1153Not measuredOnly Nova Lite 1.0 measured
LMArena Text: Korean1153Not measuredOnly Nova Lite 1.0 measured
LMArena Text: French1238Not measuredOnly Nova Lite 1.0 measured
LMArena Text: Spanish1226Not measuredOnly Nova Lite 1.0 measured
LMArena Text: Russian12161339GLM 4.6V
LMArena Text: multi-turn11991359GLM 4.6V
LMArena Text: longer queries12341357GLM 4.6V
LMArena Text: writing and language12111347GLM 4.6V
LMArena Text: entertainment and media11761343GLM 4.6V
LMArena Vision: English9991179GLM 4.6V
LMArena Vision: ChineseNot measured1217Only GLM 4.6V measured
LMArena Vision: reading textNot measured1171Only GLM 4.6V measured
LMArena Vision: creative writingNot measured1113Only GLM 4.6V measured
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 Nova Lite 1.0 and GLM 4.6V
BenchmarkNova Lite 1.0GLM 4.6VLeader
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 Lite 1.0$0.0002Fits in one request
GLM 4.6V$0.0008Fits in one request

Nova Lite 1.0 costs less

Repository review

50K input + 3K output tokens

Nova Lite 1.0$0.0037Fits in one request
GLM 4.6V$0.018Fits in one request

Nova Lite 1.0 costs less

Agent loop

200K input + 10K output tokens

Nova Lite 1.0$0.014Fits in one request
GLM 4.6V$0.069Exceeds the context window

Nova Lite 1.0 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 Lite 1.0 and GLM 4.6V
SpecificationAmazon Nova Lite 1.0Z.ai GLM 4.6V
MakerAmazonZ.ai
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024December 8, 2025
Context window300K131K
Input $/Mtok$0.06$0.30
Output $/Mtok$0.24$0.90
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Lite 1.0 better than GLM 4.6V for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Nova Lite 1.0 has the edge where output tokens cost 3.8x less, and where the context window is larger, 300K against 131K tokens.

Which is cheaper, Nova Lite 1.0 or GLM 4.6V?

Nova Lite 1.0 costs $0.06 per million input tokens and $0.24 per million output tokens; GLM 4.6V costs $0.30 and $0.90. Cost per solved task is known for neither of them.

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

Nova Lite 1.0, with 300K tokens against 131K.

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

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

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