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Nova Premier 1.0 vs GLM 4.7 Flash

Updated October 21, 2026. 8 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 4.7 FlashZ.ai
Coding
No data
Overall
14.9
Output $/M
$0.40
8
vs boards won of 8 shared

Decision reading

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

Nova Premier 1.0 has the edge where the context window is larger, 1M against 200K tokens, and where what matters is Terminal-Bench Hard (Artificial Analysis run) or AA Intelligence Index, where it leads.

Shared results
8
Nova Premier 1.0 only
5
GLM 4.7 Flash only
35
Like-for-like categories
6 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 4.7 Flash not benchmarked.
Widest category
Agentic work, 60.5 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Nova Premier 1.0 38.3% against GLM 4.7 Flash 98.8%, 60.5 points apart on a 0 to 100 scale.
Output price
Nova Premier 1.0 $12.50 against GLM 4.7 Flash $0.40 per million output tokens, 31.3x apart.
Context window
Nova Premier 1.0 takes 1M tokens, GLM 4.7 Flash 200K.

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 4.7 FlashTies
Coding01
Intelligence01
Agentic work01
Reasoning02
Web design01
General02
All shared boards08
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Nova Premier 1.0 and GLM 4.7 Flash
BenchmarkNova Premier 1.0GLM 4.7 FlashLeader
LiveCodeBench (Artificial Analysis run)31.7%Not measuredOnly Nova Premier 1.0 measured
Terminal-Bench Hard (Artificial Analysis run)6.8%22.0%GLM 4.7 Flash
ALE-Bench147.4Not measuredOnly Nova Premier 1.0 measured
LMArena Text: codingNot measured1382Only GLM 4.7 Flash measured
LMArena Text: software and ITNot measured1389Only GLM 4.7 Flash measured
Neither model has a result on the other 33 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Premier 1.0 and GLM 4.7 Flash
BenchmarkNova Premier 1.0GLM 4.7 FlashLeader
AA Intelligence Index9.214.9GLM 4.7 Flash
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 4.7 Flash
BenchmarkNova Premier 1.0GLM 4.7 FlashLeader
τ²-Bench Telecom38.3%98.8%GLM 4.7 Flash
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Nova Premier 1.0 and GLM 4.7 Flash
BenchmarkNova Premier 1.0GLM 4.7 FlashLeader
GPQA Diamond (Artificial Analysis run)56.9%58.1%GLM 4.7 Flash
Humanity's Last Exam (Artificial Analysis run)4.2%7.6%GLM 4.7 Flash
GPQA Diamond (Epoch AI run)Not measured60.5%Only GLM 4.7 Flash measured
LMArena Text: hard promptsNot measured1356Only GLM 4.7 Flash measured
LMArena Text: expertNot measured1357Only GLM 4.7 Flash measured
LMArena Text: hard prompts in EnglishNot measured1369Only GLM 4.7 Flash measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Math benchmarks for Nova Premier 1.0 and GLM 4.7 Flash
BenchmarkNova Premier 1.0GLM 4.7 FlashLeader
AA Math Index17.3Not measuredOnly Nova Premier 1.0 measured
AIME 2025 (Artificial Analysis run)17.3%Not measuredOnly Nova Premier 1.0 measured
OTIS Mock AIMENot measured58.3%Only GLM 4.7 Flash measured
LMArena Text: mathNot measured1355Only GLM 4.7 Flash measured
LMArena Text: mathematical workNot measured1369Only GLM 4.7 Flash measured
Neither model has a result on the other 8 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for Nova Premier 1.0 and GLM 4.7 Flash
BenchmarkNova Premier 1.0GLM 4.7 FlashLeader
MMLU Pro (Artificial Analysis run)73.3%Not measuredOnly Nova Premier 1.0 measured
LMArena Text: scienceNot measured1358Only GLM 4.7 Flash measured
LMArena Text: medicine and healthcareNot measured1343Only GLM 4.7 Flash measured
LMArena Text: legal and governmentNot measured1357Only GLM 4.7 Flash measured
LMArena Text: business and financeNot measured1343Only GLM 4.7 Flash measured
Neither model has a result on the other 12 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 4.7 Flash
BenchmarkNova Premier 1.0GLM 4.7 FlashLeader
Design Arena: websites8351194GLM 4.7 Flash
Design Arena: UI componentsNot measured1208Only GLM 4.7 Flash measured
Design Arena: game devNot measured1135Only GLM 4.7 Flash measured
Design Arena: data vizNot measured1123Only GLM 4.7 Flash measured
Design Arena: 3DNot measured1121Only GLM 4.7 Flash measured
Design Arena: all code categoriesNot measured1178Only GLM 4.7 Flash measured
Design Arena: SVGNot measured1038Only GLM 4.7 Flash 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 4.7 Flash
BenchmarkNova Premier 1.0GLM 4.7 FlashLeader
IFBench36.2%60.8%GLM 4.7 Flash
Long context reasoning (AA-LCR)34.3%41.7%GLM 4.7 Flash
LMArena TextNot measured1351Only GLM 4.7 Flash measured
LMArena Text: instruction followingNot measured1327Only GLM 4.7 Flash measured
LMArena Text: creative writingNot measured1296Only GLM 4.7 Flash measured
LMArena Text: EnglishNot measured1373Only GLM 4.7 Flash measured
LMArena Text: non-EnglishNot measured1330Only GLM 4.7 Flash measured
LMArena Text: ChineseNot measured1403Only GLM 4.7 Flash measured
LMArena Text: GermanNot measured1336Only GLM 4.7 Flash measured
LMArena Text: KoreanNot measured1283Only GLM 4.7 Flash measured
LMArena Text: FrenchNot measured1332Only GLM 4.7 Flash measured
LMArena Text: SpanishNot measured1350Only GLM 4.7 Flash measured
LMArena Text: RussianNot measured1333Only GLM 4.7 Flash measured
LMArena Text: PolishNot measured1291Only GLM 4.7 Flash measured
LMArena Text: multi-turnNot measured1342Only GLM 4.7 Flash measured
LMArena Text: longer queriesNot measured1345Only GLM 4.7 Flash measured
LMArena Text: writing and languageNot measured1320Only GLM 4.7 Flash measured
LMArena Text: entertainment and mediaNot measured1304Only GLM 4.7 Flash measured
Neither model has a result on the other 28 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 4.7 Flash
BenchmarkNova Premier 1.0GLM 4.7 FlashLeader
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 4.7 Flash$0.0003Fits in one request

GLM 4.7 Flash costs less

Repository review

50K input + 3K output tokens

Nova Premier 1.0$0.163Fits in one request
GLM 4.7 Flash$0.0045Fits in one request

GLM 4.7 Flash costs less

Agent loop

200K input + 10K output tokens

Nova Premier 1.0$0.625Fits in one request
GLM 4.7 Flash$0.017Exceeds the context window

GLM 4.7 Flash 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 4.7 Flash
SpecificationAmazon Nova Premier 1.0Z.ai GLM 4.7 Flash
MakerAmazonZ.ai
WeightsNo public weights listedOpen weights
ReleasedOctober 31, 2025January 19, 2026
Context window1M200K
Input $/Mtok$2.50$0.0653
Output $/Mtok$12.50$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Premier 1.0 better than GLM 4.7 Flash for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Nova Premier 1.0 has the edge where the context window is larger, 1M against 200K tokens, and where what matters is Terminal-Bench Hard (Artificial Analysis run) or AA Intelligence Index, where it leads.

Which is cheaper, Nova Premier 1.0 or GLM 4.7 Flash?

Nova Premier 1.0 costs $2.50 per million input tokens and $12.50 per million output tokens; GLM 4.7 Flash costs $0.0653 and $0.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova Premier 1.0 or GLM 4.7 Flash?

Nova Premier 1.0, with 1M tokens against 200K.

How many benchmarks is the Nova Premier 1.0 vs GLM 4.7 Flash comparison based on?

8 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 4.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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