GLM 4.5 Air vs Llama 4 Maverick
GLM 4.5 Air leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 11.1 to 9.3, at about the same output price ($1.10 vs $1.00 per million). Updated October 22, 2026; 46 benchmarks have a result for both.
GLM 4.5 Air or Llama 4 Maverick: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GLM 4.5 Air for work measured by Kagi LLM Benchmark or IFBench, where it leads.
- Shared results
- 46
- GLM 4.5 Air only
- 2
- Llama 4 Maverick only
- 39
- 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 9.3.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Llama 4 Maverick has a AA Agentic Index result, 0.6.
Directional only
Reasoning
GPQA Diamond
No call
Only Llama 4 Maverick has a GPQA Diamond result, 69.4%.
Directional only
Math
AIME
No call
Only Llama 4 Maverick has a AIME result, 25.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Llama 4 Maverick has a MMLU Pro result, 79.4%.
Directional only
Web design
Design Arena: websites
GLM 4.5 Air
GLM 4.5 Air leads, 1146 against 871.
Same board, both measured
Long documents
Listed context window
Llama 4 Maverick
Llama 4 Maverick takes 524K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 4.5 Air
GLM 4.5 Air $0.0008, Llama 4 Maverick $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Llama 4 Maverick has the number, $1.491.
Directional only
At a glance
- Coding index
- GLM 4.5 Air not benchmarked, Llama 4 Maverick not benchmarked.
- Widest category
- Math, 38.9 points apart on average over 4 shared benchmarks.
- Widest single gap
- AA Math Index: GLM 4.5 Air 80.7 against Llama 4 Maverick 19.3, 61.4 points apart on a 0 to 100 scale.
- Output price
- GLM 4.5 Air $1.10 against Llama 4 Maverick $1.00 per million output tokens, 1.1x apart.
- Context window
- GLM 4.5 Air takes 131K tokens, Llama 4 Maverick 524K.
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 | GLM 4.5 Air | Bars | Llama 4 Maverick | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 5 | 1 | ||
| Math | 4 | 0 | ||
| Knowledge | 5 | 0 | ||
| Web design | 6 | 0 | ||
| General | 17 | 2 | ||
| All shared boards | 43 | 3 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
| Benchmark | GLM 4.5 Air | Llama 4 Maverick | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 15.6% | Only Llama 4 Maverick measured |
| SWE-bench Verified | Not measured | 21.0% | Only Llama 4 Maverick measured |
| AA Coding Index | Not measured | 16.3 | Only Llama 4 Maverick measured |
| LiveCodeBench (Vals AI) | Not measured | 47.3% | Only Llama 4 Maverick measured |
| LiveCodeBench (Artificial Analysis run) | 68.4% | 39.7% | GLM 4.5 Air |
| SciCode | Not measured | 31.7% | Only Llama 4 Maverick measured |
| Terminal-Bench Hard (Artificial Analysis run) | 20.5% | 6.8% | GLM 4.5 Air |
| GSO-Bench | 2.9% | Not measured | Only GLM 4.5 Air measured |
| WeirdML | Not measured | 24.5% | Only Llama 4 Maverick measured |
| ALE-Bench | Not measured | 173.0 | Only Llama 4 Maverick measured |
| LMArena Text: coding | 1397 | 1301 | GLM 4.5 Air |
| LMArena Text: software and IT | 1401 | 1299 | GLM 4.5 Air |
| Neither model has a result on the other 27 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GLM 4.5 Air | Llama 4 Maverick | Leader |
|---|---|---|---|
| AA Intelligence Index | 11.1 | 9.3 | GLM 4.5 Air |
| Epoch Capabilities Index | Not measured | 132.2 | Only Llama 4 Maverick measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GLM 4.5 Air | Llama 4 Maverick | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 0.6 | Only Llama 4 Maverick measured |
| τ²-Bench Telecom | 46.5% | 17.8% | GLM 4.5 Air |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | GLM 4.5 Air | Llama 4 Maverick | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 69.4% | Only Llama 4 Maverick measured |
| MMMU Pro (Vals AI) | Not measured | 71.7% | Only Llama 4 Maverick measured |
| GPQA Diamond (Artificial Analysis run) | 73.3% | 67.1% | GLM 4.5 Air |
| Humanity's Last Exam (Artificial Analysis run) | 7.0% | 4.9% | GLM 4.5 Air |
| ARC-AGI | Not measured | 4.4% | Only Llama 4 Maverick measured |
| ARC-AGI-2 | Not measured | 0.0% | Only Llama 4 Maverick measured |
| SimpleBench | Not measured | 27.7% | Only Llama 4 Maverick measured |
| LMArena Text: hard prompts | 1379 | 1281 | GLM 4.5 Air |
| LMArena Text: expert | 1370 | 1259 | GLM 4.5 Air |
| LMArena Text: hard prompts in English | 1388 | 1295 | GLM 4.5 Air |
| LMArena Vision: diagrams | Not measured | 1134 | Only Llama 4 Maverick measured |
| LMArena Vision: homework | Not measured | 1164 | Only Llama 4 Maverick measured |
| Kagi LLM Benchmark | 43.0% | 55.9% | Llama 4 Maverick |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | GLM 4.5 Air | Llama 4 Maverick | Leader |
|---|---|---|---|
| AIME | Not measured | 25.2% | Only Llama 4 Maverick measured |
| MATH 500 (Vals AI) | Not measured | 85.2% | Only Llama 4 Maverick measured |
| MGSM (Vals AI) | Not measured | 92.4% | Only Llama 4 Maverick measured |
| AA Math Index | 80.7 | 19.3 | GLM 4.5 Air |
| AIME 2025 (Artificial Analysis run) | 80.7% | 19.3% | GLM 4.5 Air |
| LMArena Text: math | 1396 | 1299 | GLM 4.5 Air |
| LMArena Text: mathematical work | 1396 | 1295 | GLM 4.5 Air |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | GLM 4.5 Air | Llama 4 Maverick | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 79.4% | Only Llama 4 Maverick measured |
| LegalBench (Vals AI) | Not measured | 77.8% | Only Llama 4 Maverick measured |
| CorpFin (Vals AI) | Not measured | 49.7% | Only Llama 4 Maverick measured |
| TaxEval (Vals AI) | Not measured | 66.6% | Only Llama 4 Maverick measured |
| MortgageTax (Vals AI) | Not measured | 58.5% | Only Llama 4 Maverick measured |
| MedQA (Vals AI) | Not measured | 43.3% | Only Llama 4 Maverick measured |
| MedCode (Vals AI) | Not measured | 36.5% | Only Llama 4 Maverick measured |
| MMLU Pro (Artificial Analysis run) | 81.5% | 80.9% | GLM 4.5 Air |
| GeoBench | Not measured | 52.0% | Only Llama 4 Maverick measured |
| LMArena Text: science | 1407 | 1288 | GLM 4.5 Air |
| LMArena Text: medicine and healthcare | 1402 | 1275 | GLM 4.5 Air |
| LMArena Text: legal and government | 1382 | 1286 | GLM 4.5 Air |
| LMArena Text: business and finance | 1371 | 1260 | GLM 4.5 Air |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | GLM 4.5 Air | Llama 4 Maverick | Leader |
|---|---|---|---|
| Design Arena: websites | 1146 | 871 | GLM 4.5 Air |
| Design Arena: UI components | 1120 | 896 | GLM 4.5 Air |
| Design Arena: game dev | 1094 | 837 | GLM 4.5 Air |
| Design Arena: data viz | 1186 | 882 | GLM 4.5 Air |
| Design Arena: 3D | 1122 | 900 | GLM 4.5 Air |
| Design Arena: all code categories | 1137 | 879 | GLM 4.5 Air |
| Design Arena: SVG | 1071 | Not measured | 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 index172
| Benchmark | GLM 4.5 Air | Llama 4 Maverick | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 35.7% | Only Llama 4 Maverick measured |
| MedScribe (Vals AI) | Not measured | 54.2% | Only Llama 4 Maverick measured |
| IFBench | 37.6% | 43.0% | Llama 4 Maverick |
| Long context reasoning (AA-LCR) | 46.7% | 50.0% | Llama 4 Maverick |
| DTBench | Not measured | 61.9% | Only Llama 4 Maverick measured |
| LMCA | Not measured | 15.9% | Only Llama 4 Maverick measured |
| Fiction.LiveBench | Not measured | 46.2% | Only Llama 4 Maverick measured |
| Creative writing (Lech Mazur) | Not measured | 62.0% | Only Llama 4 Maverick measured |
| LMArena Text | 1384 | 1287 | GLM 4.5 Air |
| LMArena Text: instruction following | 1354 | 1267 | GLM 4.5 Air |
| LMArena Text: creative writing | 1343 | 1266 | GLM 4.5 Air |
| LMArena Vision | Not measured | 1142 | Only Llama 4 Maverick measured |
| LMArena Text: English | 1397 | 1303 | GLM 4.5 Air |
| LMArena Text: non-English | 1366 | 1269 | GLM 4.5 Air |
| LMArena Text: Chinese | 1426 | 1277 | GLM 4.5 Air |
| LMArena Text: German | 1377 | 1291 | GLM 4.5 Air |
| LMArena Text: Japanese | 1348 | 1206 | GLM 4.5 Air |
| LMArena Text: Korean | 1308 | 1203 | GLM 4.5 Air |
| LMArena Text: French | 1400 | 1259 | GLM 4.5 Air |
| LMArena Text: Spanish | 1385 | 1293 | GLM 4.5 Air |
| LMArena Text: Russian | 1373 | 1286 | GLM 4.5 Air |
| LMArena Text: Polish | 1368 | 1275 | GLM 4.5 Air |
| LMArena Text: multi-turn | 1371 | 1289 | GLM 4.5 Air |
| LMArena Text: longer queries | 1366 | 1280 | GLM 4.5 Air |
| LMArena Text: writing and language | 1354 | 1277 | GLM 4.5 Air |
| LMArena Text: entertainment and media | 1339 | 1250 | GLM 4.5 Air |
| LMArena Vision: English | Not measured | 1150 | Only Llama 4 Maverick measured |
| LMArena Vision: Chinese | Not measured | 1141 | Only Llama 4 Maverick measured |
| LMArena Vision: reading text | Not measured | 1143 | Only Llama 4 Maverick measured |
| LMArena Vision: humor | Not measured | 1100 | Only Llama 4 Maverick measured |
| LMArena Vision: creative writing | Not measured | 1099 | Only Llama 4 Maverick measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GLM 4.5 Air | Llama 4 Maverick | 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 | Z.ai GLM 4.5 Air | Meta Llama 4 Maverick |
|---|---|---|
| Maker | Z.ai | Meta Llama |
| Weights | Open weights | Open weights |
| Released | July 25, 2025 | April 5, 2025 |
| Context window | 131K | 524K |
| Input $/Mtok | $0.20 | $0.35 |
| Output $/Mtok | $1.10 | $1.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | $1.491 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GLM 4.5 Air better than Llama 4 Maverick for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.5 Air for work measured by Kagi LLM Benchmark or IFBench, where it leads.
Which is cheaper, GLM 4.5 Air or Llama 4 Maverick?
GLM 4.5 Air costs $0.20 per million input tokens and $1.10 per million output tokens; Llama 4 Maverick costs $0.35 and $1.00. Cost per solved task is known for Llama 4 Maverick only.
Which has the bigger context window, GLM 4.5 Air or Llama 4 Maverick?
Llama 4 Maverick, with 524K tokens against 131K.
How many benchmarks is the GLM 4.5 Air vs Llama 4 Maverick comparison based on?
46 benchmarks have a result for both models as of October 22, 2026. GLM 4.5 Air's coding index rests on 0 independent benchmarks and Llama 4 Maverick's on 0. Where only one model has a result, the page says so instead of naming a winner.