Nova Premier 1.0 vs GLM 4.5 Air
GLM 4.5 Air leads Nova Premier 1.0 on the Artificial Analysis Intelligence Index, 11.1 to 9.2, and GLM 4.5 Air costs 11.4x less per output token ($1.10 vs $12.50 per million). Updated October 21, 2026; 13 benchmarks have a result for both.
Nova Premier 1.0 or GLM 4.5 Air: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Nova Premier 1.0 for a larger context window (1M against 131K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
- Shared results
- 13
- Nova Premier 1.0 only
- 1
- GLM 4.5 Air only
- 35
- Like-for-like categories
- 8 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
GLM 4.5 Air
GLM 4.5 Air leads, 11.1 against 9.2.
Same board, both measured
Web design
Design Arena: websites
GLM 4.5 Air
GLM 4.5 Air leads, 1146 against 835.
Same board, both measured
Long documents
Listed context window
Nova Premier 1.0
Nova Premier 1.0 takes 1M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 4.5 Air
Nova Premier 1.0 $0.0088, GLM 4.5 Air $0.0008 per turn.
List prices
At a glance
- Coding index
- Nova Premier 1.0 not benchmarked, GLM 4.5 Air not benchmarked.
- Widest category
- Math, 63.4 points apart on average over 2 shared benchmarks.
- Widest single gap
- AA Math Index: Nova Premier 1.0 17.3 against GLM 4.5 Air 80.7, 63.4 points apart on a 0 to 100 scale.
- Output price
- Nova Premier 1.0 $12.50 against GLM 4.5 Air $1.10 per million output tokens, 11.4x apart.
- Context window
- Nova Premier 1.0 takes 1M tokens, GLM 4.5 Air 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.
| Category | Nova Premier 1.0 | Bars | GLM 4.5 Air | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 1 | 2 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 1 | ||
| Web design | 0 | 1 | ||
| General | 0 | 2 | ||
| All shared boards | 1 | 12 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
| Benchmark | Nova Premier 1.0 | GLM 4.5 Air | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | 31.7% | 68.4% | GLM 4.5 Air |
| Terminal-Bench Hard (Artificial Analysis run) | 6.8% | 20.5% | GLM 4.5 Air |
| GSO-Bench | Not measured | 2.9% | Only GLM 4.5 Air measured |
| ALE-Bench | 147.4 | Not measured | Only Nova Premier 1.0 measured |
| LMArena Text: coding | Not measured | 1397 | Only GLM 4.5 Air measured |
| LMArena Text: software and IT | Not measured | 1401 | Only GLM 4.5 Air measured |
| Neither model has a result on the other 33 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Premier 1.0 | GLM 4.5 Air | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.2 | 11.1 | GLM 4.5 Air |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Premier 1.0 | GLM 4.5 Air | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 38.3% | 46.5% | GLM 4.5 Air |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Nova Premier 1.0 | GLM 4.5 Air | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 56.9% | 73.3% | GLM 4.5 Air |
| Humanity's Last Exam (Artificial Analysis run) | 4.2% | 7.0% | GLM 4.5 Air |
| LMArena Text: hard prompts | Not measured | 1379 | Only GLM 4.5 Air measured |
| LMArena Text: expert | Not measured | 1370 | Only GLM 4.5 Air measured |
| LMArena Text: hard prompts in English | Not measured | 1388 | Only GLM 4.5 Air measured |
| Kagi LLM Benchmark | 44.8% | 43.0% | Nova Premier 1.0 |
| Neither model has a result on the other 16 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Premier 1.0 | GLM 4.5 Air | Leader |
|---|---|---|---|
| AA Math Index | 17.3 | 80.7 | GLM 4.5 Air |
| AIME 2025 (Artificial Analysis run) | 17.3% | 80.7% | GLM 4.5 Air |
| LMArena Text: math | Not measured | 1396 | Only GLM 4.5 Air measured |
| LMArena Text: mathematical work | Not measured | 1396 | Only GLM 4.5 Air measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Premier 1.0 | GLM 4.5 Air | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 73.3% | 81.5% | GLM 4.5 Air |
| LMArena Text: science | Not measured | 1407 | Only GLM 4.5 Air measured |
| LMArena Text: medicine and healthcare | Not measured | 1402 | Only GLM 4.5 Air measured |
| LMArena Text: legal and government | Not measured | 1382 | Only GLM 4.5 Air measured |
| LMArena Text: business and finance | Not measured | 1371 | Only GLM 4.5 Air measured |
| Neither model has a result on the other 13 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Premier 1.0 | GLM 4.5 Air | Leader |
|---|---|---|---|
| Design Arena: websites | 835 | 1146 | GLM 4.5 Air |
| Design Arena: UI components | Not measured | 1123 | Only GLM 4.5 Air measured |
| Design Arena: game dev | Not measured | 1094 | Only GLM 4.5 Air measured |
| Design Arena: data viz | Not measured | 1186 | Only GLM 4.5 Air measured |
| Design Arena: 3D | Not measured | 1123 | Only GLM 4.5 Air measured |
| Design Arena: all code categories | Not measured | 1137 | Only GLM 4.5 Air measured |
| Design Arena: SVG | Not measured | 1071 | Only GLM 4.5 Air measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Premier 1.0 | GLM 4.5 Air | Leader |
|---|---|---|---|
| IFBench | 36.2% | 37.6% | GLM 4.5 Air |
| Long context reasoning (AA-LCR) | 34.3% | 46.7% | GLM 4.5 Air |
| LMArena Text | Not measured | 1384 | Only GLM 4.5 Air measured |
| LMArena Text: instruction following | Not measured | 1354 | Only GLM 4.5 Air measured |
| LMArena Text: creative writing | Not measured | 1343 | Only GLM 4.5 Air measured |
| LMArena Text: English | Not measured | 1397 | Only GLM 4.5 Air measured |
| LMArena Text: non-English | Not measured | 1366 | Only GLM 4.5 Air measured |
| LMArena Text: Chinese | Not measured | 1426 | Only GLM 4.5 Air measured |
| LMArena Text: German | Not measured | 1377 | Only GLM 4.5 Air measured |
| LMArena Text: Japanese | Not measured | 1348 | Only GLM 4.5 Air measured |
| LMArena Text: Korean | Not measured | 1308 | Only GLM 4.5 Air measured |
| LMArena Text: French | Not measured | 1400 | Only GLM 4.5 Air measured |
| LMArena Text: Spanish | Not measured | 1385 | Only GLM 4.5 Air measured |
| LMArena Text: Russian | Not measured | 1373 | Only GLM 4.5 Air measured |
| LMArena Text: Polish | Not measured | 1368 | Only GLM 4.5 Air measured |
| LMArena Text: multi-turn | Not measured | 1371 | Only GLM 4.5 Air measured |
| LMArena Text: longer queries | Not measured | 1366 | Only GLM 4.5 Air measured |
| LMArena Text: writing and language | Not measured | 1354 | Only GLM 4.5 Air measured |
| LMArena Text: entertainment and media | Not measured | 1339 | Only GLM 4.5 Air 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
| Benchmark | Nova Premier 1.0 | GLM 4.5 Air | Leader |
|---|---|---|---|
| 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 4.5 Air costs less
Repository review
50K input + 3K output tokens
GLM 4.5 Air costs less
Agent loop
200K input + 10K output tokens
GLM 4.5 Air 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.
| Specification | Amazon Nova Premier 1.0 | Z.ai GLM 4.5 Air |
|---|---|---|
| Maker | Amazon | Z.ai |
| Weights | No public weights listed | Open weights |
| Released | October 31, 2025 | July 25, 2025 |
| Context window | 1M | 131K |
| Input $/Mtok | $2.50 | $0.20 |
| Output $/Mtok | $12.50 | $1.10 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nova Premier 1.0 better than GLM 4.5 Air for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Premier 1.0 for a larger context window (1M against 131K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
Which is cheaper, Nova Premier 1.0 or GLM 4.5 Air?
Nova Premier 1.0 costs $2.50 per million input tokens and $12.50 per million output tokens; GLM 4.5 Air costs $0.20 and $1.10. Cost per solved task is known for neither of them.
Which has the bigger context window, Nova Premier 1.0 or GLM 4.5 Air?
Nova Premier 1.0, with 1M tokens against 131K.
How many benchmarks is the Nova Premier 1.0 vs GLM 4.5 Air 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 4.5 Air's on 0. Where only one model has a result, the page says so instead of naming a winner.