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Nova 2 Lite vs GLM 4.7

GLM 4.7 leads Nova 2 Lite on the Artificial Analysis Intelligence Index, 22.2 to 13.4, at about the same output price ($2.20 vs $2.50 per million). Updated October 22, 2026; 31 benchmarks have a result for both.

Replace Nova 2 Lite Replace GLM 4.7
Nova 2 LiteAmazon
Coding
No data
Overall
No data
Output $/M
$2.50
0
GLM 4.7Z.ai
Coding
55.1
Overall
56.9
Output $/M
$2.20
31
vs boards won of 31 shared

Nova 2 Lite or GLM 4.7: which to pick

Only GLM 4.7 has a coding score, 55.1 on the Vibe Coding Index; Nova 2 Lite has none, so the two cannot be ranked on coding.

Pick Nova 2 Lite for a larger context window (1M against 205K tokens).

Model ANova 2 LiteAmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGLM 4.7Z.ai55.1/1002 independent benchmarks$0.29 per solved task
Shared results
31
Nova 2 Lite only
0
GLM 4.7 only
50
Like-for-like categories
6 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
Nova 2 Lite not benchmarked, GLM 4.7 55.1 from 2 benchmarks.
Widest category
General, 15.6 points apart on average over 17 shared benchmarks.
Widest single gap
LMArena Text: Japanese: Nova 2 Lite 1273 against GLM 4.7 1439, 27.6 points apart on a 0 to 100 scale.
Output price
Nova 2 Lite $2.50 against GLM 4.7 $2.20 per million output tokens, 1.1x apart.
Context window
Nova 2 Lite takes 1M tokens, GLM 4.7 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 2 LiteBarsGLM 4.7Ties
Coding04
Intelligence01
Reasoning03
Math02
Knowledge04
General017
All shared boards031
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Nova 2 Lite and GLM 4.7
BenchmarkNova 2 LiteGLM 4.7Leader
LMArena WebDevNot measured1435Only GLM 4.7 measured
AA Coding Index23.045.3GLM 4.7
LiveCodeBench (Vals AI)Not measured82.2%Only GLM 4.7 measured
SWE-bench Verified (Vals AI)Not measured69.4%Only GLM 4.7 measured
LiveCodeBench (Artificial Analysis run)Not measured89.4%Only GLM 4.7 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured31.8%Only GLM 4.7 measured
Terminal-BenchNot measured33.4%Only GLM 4.7 measured
ALE-Bench236.3399.5GLM 4.7
LMArena Text: coding13851454GLM 4.7
LMArena Text: software and IT13941453GLM 4.7
LMArena WebDev: ReactNot measured1420Only GLM 4.7 measured
LMArena WebDev: HTMLNot measured1447Only GLM 4.7 measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova 2 Lite and GLM 4.7
BenchmarkNova 2 LiteGLM 4.7Leader
AA Intelligence Index13.422.2GLM 4.7
Epoch Capabilities IndexNot measured143.6Only GLM 4.7 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Agentic work benchmarks for Nova 2 Lite and GLM 4.7
BenchmarkNova 2 LiteGLM 4.7Leader
Design Arena: agents building full-stack appsNot measured1050Only GLM 4.7 measured
Design Arena: agents building mobile appsNot measured1105Only GLM 4.7 measured
Design Arena: agents building Android appsNot measured1112Only GLM 4.7 measured
Design Arena: agents building Godot gamesNot measured1058Only GLM 4.7 measured
τ²-Bench TelecomNot measured95.9%Only GLM 4.7 measured
Vending-Bench 2Not measured$2,377Only GLM 4.7 measured
BrowseComp-PlusNot measured64.7%Only GLM 4.7 measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Nova 2 Lite and GLM 4.7
BenchmarkNova 2 LiteGLM 4.7Leader
GPQA DiamondNot measured80.0%Only GLM 4.7 measured
GPQA Diamond (Artificial Analysis run)Not measured85.9%Only GLM 4.7 measured
Humanity's Last Exam (Artificial Analysis run)Not measured27.4%Only GLM 4.7 measured
GPQA Diamond (Epoch AI run)Not measured83.3%Only GLM 4.7 measured
SimpleBenchNot measured47.7%Only GLM 4.7 measured
Chess puzzlesNot measured21.0%Only GLM 4.7 measured
LMArena Text: hard prompts13641443GLM 4.7
LMArena Text: expert13591424GLM 4.7
LMArena Text: hard prompts in English13851452GLM 4.7
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Nova 2 Lite and GLM 4.7
BenchmarkNova 2 LiteGLM 4.7Leader
AIMENot measured93.3%Only GLM 4.7 measured
MGSM (Vals AI)Not measured88.2%Only GLM 4.7 measured
AA Math IndexNot measured95.0Only GLM 4.7 measured
AIME 2025 (Artificial Analysis run)Not measured95.0%Only GLM 4.7 measured
OTIS Mock AIMENot measured83.3%Only GLM 4.7 measured
ProofBenchNot measured6.0%Only GLM 4.7 measured
LMArena Text: math13591424GLM 4.7
LMArena Text: mathematical work13691411GLM 4.7
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Nova 2 Lite and GLM 4.7
BenchmarkNova 2 LiteGLM 4.7Leader
MMLU ProNot measured82.7%Only GLM 4.7 measured
LegalBench (Vals AI)Not measured83.4%Only GLM 4.7 measured
CaseLaw (Vals AI)Not measured54.9%Only GLM 4.7 measured
CorpFin (Vals AI)Not measured46.4%Only GLM 4.7 measured
TaxEval (Vals AI)Not measured68.8%Only GLM 4.7 measured
MedQA (Vals AI)Not measured93.7%Only GLM 4.7 measured
MedCode (Vals AI)Not measured32.8%Only GLM 4.7 measured
MMLU Pro (Artificial Analysis run)Not measured85.6%Only GLM 4.7 measured
SimpleQA VerifiedNot measured32.2%Only GLM 4.7 measured
LMArena Text: science13821457GLM 4.7
LMArena Text: medicine and healthcare13861469GLM 4.7
LMArena Text: legal and government13591444GLM 4.7
LMArena Text: business and finance13691429GLM 4.7
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Nova 2 Lite and GLM 4.7
BenchmarkNova 2 LiteGLM 4.7Leader
Design Arena: websitesNot measured1225Only GLM 4.7 measured
Design Arena: UI componentsNot measured1196Only GLM 4.7 measured
Design Arena: game devNot measured1188Only GLM 4.7 measured
Design Arena: data vizNot measured1195Only GLM 4.7 measured
Design Arena: 3DNot measured1190Only GLM 4.7 measured
Design Arena: all code categoriesNot measured1216Only GLM 4.7 measured
Design Arena: SVGNot measured1142Only GLM 4.7 measured
Design Arena: ASCII artNot measured1165Only GLM 4.7 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
General benchmarks for Nova 2 Lite and GLM 4.7
BenchmarkNova 2 LiteGLM 4.7Leader
MedScribe (Vals AI)Not measured68.6%Only GLM 4.7 measured
IFBenchNot measured67.9%Only GLM 4.7 measured
Long context reasoning (AA-LCR)Not measured71.0%Only GLM 4.7 measured
CL-benchNot measured15.9%Only GLM 4.7 measured
CL-bench LifeNot measured10.9%Only GLM 4.7 measured
LMArena Text13621435GLM 4.7
LMArena Text: instruction following13351412GLM 4.7
LMArena Text: creative writing12921401GLM 4.7
LMArena Text: English13851453GLM 4.7
LMArena Text: non-English13371417GLM 4.7
LMArena Text: Chinese13641495GLM 4.7
LMArena Text: German13431426GLM 4.7
LMArena Text: Japanese12731439GLM 4.7
LMArena Text: Korean12811399GLM 4.7
LMArena Text: French13811432GLM 4.7
LMArena Text: Spanish13751434GLM 4.7
LMArena Text: Russian13421423GLM 4.7
LMArena Text: Polish13271435GLM 4.7
LMArena Text: multi-turn13381446GLM 4.7
LMArena Text: longer queries13351432GLM 4.7
LMArena Text: writing and language13181411GLM 4.7
LMArena Text: entertainment and media13091400GLM 4.7
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 Nova 2 Lite and GLM 4.7
BenchmarkNova 2 LiteGLM 4.7Leader
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 2 Lite$0.0015Fits in one request
GLM 4.7$0.0017Fits in one request

Nova 2 Lite costs less

Repository review

50K input + 3K output tokens

Nova 2 Lite$0.022Fits in one request
GLM 4.7$0.037Fits in one request

Nova 2 Lite costs less

Agent loop

200K input + 10K output tokens

Nova 2 Lite$0.085Fits in one request
GLM 4.7$0.142Exceeds the context window

Nova 2 Lite 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 2 Lite and GLM 4.7
SpecificationAmazon Nova 2 LiteZ.ai GLM 4.7
MakerAmazonZ.ai
WeightsNo public weights listedOpen weights
ReleasedDecember 2, 2025December 22, 2025
Context window1M205K
Input $/Mtok$0.30$0.60
Output $/Mtok$2.50$2.20
Coding indexNot benchmarked55.1
Independent measurements behind it02
Cost per solved taskNot computable$0.29
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova 2 Lite better than GLM 4.7 for coding?

Only GLM 4.7 has a coding score, 55.1 on the Vibe Coding Index; Nova 2 Lite has none, so the two cannot be ranked on coding. Pick Nova 2 Lite for a larger context window (1M against 205K tokens).

Which is cheaper, Nova 2 Lite or GLM 4.7?

Nova 2 Lite costs $0.30 per million input tokens and $2.50 per million output tokens; GLM 4.7 costs $0.60 and $2.20. Cost per solved task is known for GLM 4.7 only.

Which has the bigger context window, Nova 2 Lite or GLM 4.7?

Nova 2 Lite, with 1M tokens against 205K.

How many benchmarks is the Nova 2 Lite vs GLM 4.7 comparison based on?

31 benchmarks have a result for both models as of October 22, 2026. Nova 2 Lite's coding index rests on 0 independent benchmarks and GLM 4.7's on 2. Where only one model has a result, the page says so instead of naming a winner.

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