GLM 4.5 Air vs GPT-5.4 Nano
GPT-5.4 Nano leads GLM 4.5 Air on the Artificial Analysis Intelligence Index, 20.7 to 11.1, at about the same output price ($1.25 vs $1.10 per million). Updated October 22, 2026; 36 benchmarks have a result for both.
GLM 4.5 Air or GPT-5.4 Nano: which to pick
Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; GLM 4.5 Air has none, so the two cannot be ranked on coding.
Pick GLM 4.5 Air for output tokens 1.1x cheaper ($1.10 vs $1.25 per million) and work measured by LMArena Text: hard prompts in English or Kagi LLM Benchmark, where it leads.
- Shared results
- 36
- GLM 4.5 Air only
- 13
- GPT-5.4 Nano only
- 49
- Like-for-like categories
- 7 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
Only GPT-5.4 Nano has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
GPT-5.4 Nano
GPT-5.4 Nano leads, 20.7 against 11.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.4 Nano has a AA Agentic Index result, 16.0.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-5.4 Nano has a GPQA Diamond result, 77.5%.
Directional only
Math
AIME
No call
Only GPT-5.4 Nano has a AIME result, 88.8%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.4 Nano has a MMLU Pro result, 77.2%.
Directional only
Web design
Design Arena: websites
No call
Only GLM 4.5 Air has a Design Arena: websites result, 1146.
Directional only
Long documents
Listed context window
GPT-5.4 Nano
GPT-5.4 Nano takes 400K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 4.5 Air
GLM 4.5 Air $0.0008, GPT-5.4 Nano $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.4 Nano has the number, $0.14.
Directional only
At a glance
- Coding index
- GLM 4.5 Air not benchmarked, GPT-5.4 Nano 44.8 from 2 benchmarks.
- Widest category
- Agentic work, 29.5 points apart on average over 1 shared benchmark.
- Widest single gap
- IFBench: GLM 4.5 Air 37.6% against GPT-5.4 Nano 75.9%, 38.4 points apart on a 0 to 100 scale.
- Output price
- GLM 4.5 Air $1.10 against GPT-5.4 Nano $1.25 per million output tokens, 1.1x apart.
- Context window
- GLM 4.5 Air takes 131K tokens, GPT-5.4 Nano 400K.
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 | GPT-5.4 Nano | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 2 | 4 | ||
| Math | 0 | 2 | ||
| Knowledge | 4 | 0 | ||
| General | 14 | 5 | ||
| All shared boards | 20 | 16 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | GLM 4.5 Air | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 56.1 | Only GPT-5.4 Nano measured |
| LiveCodeBench (Vals AI) | Not measured | 84.0% | Only GPT-5.4 Nano measured |
| SWE-bench Verified (Vals AI) | Not measured | 69.8% | Only GPT-5.4 Nano measured |
| Vibe Code Bench (Vals AI) | Not measured | 26.1% | Only GPT-5.4 Nano measured |
| Code migration (Vals AI) | Not measured | 14.5% | Only GPT-5.4 Nano measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 41.6% | Only GPT-5.4 Nano measured |
| LiveCodeBench (Artificial Analysis run) | 68.4% | Not measured | Only GLM 4.5 Air measured |
| SciCode | Not measured | 47.2% | Only GPT-5.4 Nano measured |
| Terminal-Bench Hard (Artificial Analysis run) | 20.5% | 42.4% | GPT-5.4 Nano |
| GSO-Bench | 2.9% | Not measured | Only GLM 4.5 Air measured |
| WeirdML | Not measured | 49.2% | Only GPT-5.4 Nano measured |
| ALE-Bench | Not measured | 1004.5 | Only GPT-5.4 Nano measured |
| LMArena Text: coding | 1397 | 1404 | GPT-5.4 Nano |
| LMArena Text: software and IT | 1401 | 1402 | GPT-5.4 Nano |
| Neither model has a result on the other 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GLM 4.5 Air | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Intelligence Index | 11.1 | 20.7 | GPT-5.4 Nano |
| Epoch Capabilities Index | Not measured | 146.0 | Only GPT-5.4 Nano measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GLM 4.5 Air | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 16.0 | Only GPT-5.4 Nano measured |
| Finance Agent (Vals AI) | Not measured | 38.2% | Only GPT-5.4 Nano measured |
| Tax Agent Bench (Vals AI) | Not measured | 5.0% | Only GPT-5.4 Nano measured |
| Legal Research Bench (Vals AI) | Not measured | 6.3% | Only GPT-5.4 Nano measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 44.8% | Only GPT-5.4 Nano measured |
| τ²-Bench Telecom | 46.5% | 76.0% | GPT-5.4 Nano |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | GLM 4.5 Air | GPT-5.4 Nano | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 77.5% | Only GPT-5.4 Nano measured |
| MMMU Pro (Vals AI) | Not measured | 73.6% | Only GPT-5.4 Nano measured |
| GPQA Diamond (Artificial Analysis run) | 73.3% | 81.7% | GPT-5.4 Nano |
| Humanity's Last Exam (Artificial Analysis run) | 7.0% | 28.3% | GPT-5.4 Nano |
| GPQA Diamond (Epoch AI run) | Not measured | 78.5% | Only GPT-5.4 Nano measured |
| ARC-AGI | Not measured | 51.5% | Only GPT-5.4 Nano measured |
| ARC-AGI-2 | Not measured | 5.7% | Only GPT-5.4 Nano measured |
| Chess puzzles | Not measured | 45.0% | Only GPT-5.4 Nano measured |
| Mystery game puzzles | Not measured | 9.0% | Only GPT-5.4 Nano measured |
| LMArena Text: hard prompts | 1379 | 1381 | GPT-5.4 Nano |
| LMArena Text: expert | 1370 | 1396 | GPT-5.4 Nano |
| LMArena Text: hard prompts in English | 1388 | 1387 | GLM 4.5 Air |
| LMArena Vision: diagrams | Not measured | 1210 | Only GPT-5.4 Nano measured |
| LMArena Vision: homework | Not measured | 1225 | Only GPT-5.4 Nano measured |
| Kagi LLM Benchmark | 43.0% | 39.7% | GLM 4.5 Air |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GLM 4.5 Air | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AIME | Not measured | 88.8% | Only GPT-5.4 Nano measured |
| AA Math Index | 80.7 | Not measured | Only GLM 4.5 Air measured |
| AIME 2025 (Artificial Analysis run) | 80.7% | Not measured | Only GLM 4.5 Air measured |
| OTIS Mock AIME | Not measured | 87.8% | Only GPT-5.4 Nano measured |
| FrontierMath, tiers 1 to 3 | Not measured | 44.9% | Only GPT-5.4 Nano measured |
| FrontierMath, tier 4 | Not measured | 12.2% | Only GPT-5.4 Nano measured |
| ProofBench | Not measured | 5.0% | Only GPT-5.4 Nano measured |
| LMArena Text: math | 1396 | 1405 | GPT-5.4 Nano |
| LMArena Text: mathematical work | 1396 | 1409 | GPT-5.4 Nano |
| MathArena | 12.0% | Not measured | Only GLM 4.5 Air measured |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | GLM 4.5 Air | GPT-5.4 Nano | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 77.2% | Only GPT-5.4 Nano measured |
| LegalBench (Vals AI) | Not measured | 77.9% | Only GPT-5.4 Nano measured |
| CaseLaw (Vals AI) | Not measured | 51.9% | Only GPT-5.4 Nano measured |
| CorpFin (Vals AI) | Not measured | 61.2% | Only GPT-5.4 Nano measured |
| TaxEval (Vals AI) | Not measured | 67.4% | Only GPT-5.4 Nano measured |
| MortgageTax (Vals AI) | Not measured | 59.1% | Only GPT-5.4 Nano measured |
| MedCode (Vals AI) | Not measured | 41.0% | Only GPT-5.4 Nano measured |
| MMLU Pro (Artificial Analysis run) | 81.5% | Not measured | Only GLM 4.5 Air measured |
| SimpleQA Verified | Not measured | 11.7% | Only GPT-5.4 Nano measured |
| LMArena Text: science | 1407 | 1374 | GLM 4.5 Air |
| LMArena Text: medicine and healthcare | 1402 | 1369 | GLM 4.5 Air |
| LMArena Text: legal and government | 1382 | 1368 | GLM 4.5 Air |
| LMArena Text: business and finance | 1371 | 1366 | GLM 4.5 Air |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | GLM 4.5 Air | GPT-5.4 Nano | Leader |
|---|---|---|---|
| Design Arena: websites | 1146 | Not measured | Only GLM 4.5 Air measured |
| Design Arena: UI components | 1121 | Not measured | Only GLM 4.5 Air measured |
| Design Arena: game dev | 1093 | Not measured | Only GLM 4.5 Air measured |
| Design Arena: data viz | 1186 | Not measured | Only GLM 4.5 Air measured |
| Design Arena: 3D | 1122 | Not measured | Only GLM 4.5 Air measured |
| Design Arena: all code categories | 1137 | Not measured | Only GLM 4.5 Air measured |
| Design Arena: SVG | 1070 | 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 index145
| Benchmark | GLM 4.5 Air | GPT-5.4 Nano | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 38.1% | Only GPT-5.4 Nano measured |
| MedScribe (Vals AI) | Not measured | 77.1% | Only GPT-5.4 Nano measured |
| Vals Multimodal Index | Not measured | 47.6% | Only GPT-5.4 Nano measured |
| IFBench | 37.6% | 75.9% | GPT-5.4 Nano |
| Long context reasoning (AA-LCR) | 46.7% | 76.7% | GPT-5.4 Nano |
| DTBench | Not measured | 80.3% | Only GPT-5.4 Nano measured |
| LMCA | Not measured | 36.9% | Only GPT-5.4 Nano measured |
| LMArena Text | 1384 | 1372 | GLM 4.5 Air |
| LMArena Text: instruction following | 1354 | 1362 | GPT-5.4 Nano |
| LMArena Text: creative writing | 1343 | 1315 | GLM 4.5 Air |
| LMArena Vision | Not measured | 1196 | Only GPT-5.4 Nano measured |
| LMArena Text: English | 1397 | 1381 | GLM 4.5 Air |
| LMArena Text: non-English | 1366 | 1359 | GLM 4.5 Air |
| LMArena Text: Chinese | 1426 | 1391 | GLM 4.5 Air |
| LMArena Text: German | 1377 | 1368 | GLM 4.5 Air |
| LMArena Text: Japanese | 1348 | 1343 | GLM 4.5 Air |
| LMArena Text: Korean | 1308 | 1321 | GPT-5.4 Nano |
| LMArena Text: French | 1400 | 1395 | GLM 4.5 Air |
| LMArena Text: Spanish | 1385 | 1371 | GLM 4.5 Air |
| LMArena Text: Russian | 1373 | 1363 | GLM 4.5 Air |
| LMArena Text: Polish | 1368 | 1366 | GLM 4.5 Air |
| LMArena Text: multi-turn | 1371 | 1382 | GPT-5.4 Nano |
| LMArena Text: longer queries | 1366 | 1365 | GLM 4.5 Air |
| LMArena Text: writing and language | 1354 | 1338 | GLM 4.5 Air |
| LMArena Text: entertainment and media | 1339 | 1325 | GLM 4.5 Air |
| LMArena Vision: English | Not measured | 1202 | Only GPT-5.4 Nano measured |
| LMArena Vision: Chinese | Not measured | 1232 | Only GPT-5.4 Nano measured |
| LMArena Vision: reading text | Not measured | 1204 | Only GPT-5.4 Nano measured |
| LMArena Vision: humor | Not measured | 1161 | Only GPT-5.4 Nano measured |
| LMArena Vision: recognizing things | Not measured | 1141 | Only GPT-5.4 Nano measured |
| LMArena Vision: creative writing | Not measured | 1159 | Only GPT-5.4 Nano measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GLM 4.5 Air | GPT-5.4 Nano | 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 | OpenAI GPT-5.4 Nano |
|---|---|---|
| Maker | Z.ai | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | July 25, 2025 | March 17, 2026 |
| Context window | 131K | 400K |
| Input $/Mtok | $0.20 | $0.20 |
| Output $/Mtok | $1.10 | $1.25 |
| Coding index | Not benchmarked | 44.8 |
| Independent measurements behind it | 0 | 2 |
| Cost per solved task | Not computable | $0.14 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GLM 4.5 Air better than GPT-5.4 Nano for coding?
Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; GLM 4.5 Air has none, so the two cannot be ranked on coding. Pick GLM 4.5 Air for output tokens 1.1x cheaper ($1.10 vs $1.25 per million) and work measured by LMArena Text: hard prompts in English or Kagi LLM Benchmark, where it leads.
Which is cheaper, GLM 4.5 Air or GPT-5.4 Nano?
GLM 4.5 Air costs $0.20 per million input tokens and $1.10 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Cost per solved task is known for GPT-5.4 Nano only.
Which has the bigger context window, GLM 4.5 Air or GPT-5.4 Nano?
GPT-5.4 Nano, with 400K tokens against 131K.
How many benchmarks is the GLM 4.5 Air vs GPT-5.4 Nano comparison based on?
36 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 GPT-5.4 Nano's on 2. Where only one model has a result, the page says so instead of naming a winner.