GPT-5.4 Mini vs GPT-5.4 Nano
GPT-5.4 Nano leads GPT-5.4 Mini on coding, 44.8 to 35.8 on the Vibe Coding Index, and GPT-5.4 Nano costs 3.6x less per output token ($1.25 vs $4.50 per million). Updated October 22, 2026; 82 benchmarks have a result for both.
GPT-5.4 Mini or GPT-5.4 Nano: which to pick
Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 35.8 for GPT-5.4 Mini, though on 2 benchmarks against 5.
Pick GPT-5.4 Mini for work measured by SWE-bench Verified (Vals AI) or Vibe Code Bench (Vals AI), where it leads.
- Shared results
- 82
- GPT-5.4 Mini only
- 7
- GPT-5.4 Nano only
- 3
- 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
GPT-5.4 Nano
GPT-5.4 Nano scores 44.8 against 35.8.
5 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.4 Mini
GPT-5.4 Mini leads, 24.1 against 20.7.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.4 Mini
GPT-5.4 Mini leads, 17.9 against 16.0.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.4 Mini
GPT-5.4 Mini leads, 83.1% against 77.5%.
Same board, both measured
Math
AIME
GPT-5.4 Mini
GPT-5.4 Mini leads, 95.6% against 88.8%.
Same board, both measured
Knowledge
MMLU Pro
GPT-5.4 Mini
GPT-5.4 Mini leads, 84.5% against 77.2%.
Same board, both measured
Long documents
Listed context window
No call
Both take 400K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.4 Nano
GPT-5.4 Mini $0.0030, GPT-5.4 Nano $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.4 Nano
GPT-5.4 Mini $0.70, GPT-5.4 Nano $0.14.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5.4 Mini 35.8 from 5 benchmarks, GPT-5.4 Nano 44.8 from 2 benchmarks.
- Widest category
- Reasoning, 7.7 points apart on average over 15 shared benchmarks.
- Widest single gap
- Chess puzzles: GPT-5.4 Mini 23.0% against GPT-5.4 Nano 45.0%, 22.0 points apart on a 0 to 100 scale.
- Output price
- GPT-5.4 Mini $4.50 against GPT-5.4 Nano $1.25 per million output tokens, 3.6x apart.
- Context window
- Both take 400K tokens.
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 | GPT-5.4 Mini | Bars | GPT-5.4 Nano | Ties |
|---|---|---|---|---|
| Coding | 9 | 2 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 6 | 0 | ||
| Reasoning | 12 | 3 | ||
| Math | 6 | 1 | ||
| Knowledge | 8 | 2 | ||
| General | 28 | 2 | ||
| All shared boards | 71 | 10 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index92
| Benchmark | GPT-5.4 Mini | GPT-5.4 Nano | Leader |
|---|---|---|---|
| LMArena WebDev | 1397 | Not measured | Only GPT-5.4 Mini measured |
| AA Coding Index | 56.1 | 56.1 | Tie |
| LiveCodeBench (Vals AI) | 81.5% | 84.0% | GPT-5.4 Nano |
| SWE-bench Verified (Vals AI) | 73.0% | 69.8% | GPT-5.4 Mini |
| Terminal-Bench 4 (Vals AI) | 2.5% | Not measured | Only GPT-5.4 Mini measured |
| Vibe Code Bench (Vals AI) | 48.0% | 26.1% | GPT-5.4 Mini |
| Code migration (Vals AI) | 12.9% | 14.5% | GPT-5.4 Nano |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only GPT-5.4 Mini measured |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | 41.6% | GPT-5.4 Mini |
| SciCode | 52.1% | 47.2% | GPT-5.4 Mini |
| Terminal-Bench Hard (Artificial Analysis run) | 52.3% | 42.4% | GPT-5.4 Mini |
| FrontierCode | 27.0% | Not measured | Only GPT-5.4 Mini measured |
| WeirdML | 60.3% | 49.2% | GPT-5.4 Mini |
| ALE-Bench | 1188.6 | 1004.5 | GPT-5.4 Mini |
| LMArena Text: coding | 1438 | 1404 | GPT-5.4 Mini |
| LMArena Text: software and IT | 1436 | 1402 | GPT-5.4 Mini |
| LMArena WebDev: React | 1386 | Not measured | Only GPT-5.4 Mini measured |
| LMArena WebDev: HTML | 1419 | Not measured | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-5.4 Mini | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.1 | 20.7 | GPT-5.4 Mini |
| Epoch Capabilities Index | 148.7 | 146.0 | GPT-5.4 Mini |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | GPT-5.4 Mini | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Agentic Index | 17.9 | 16.0 | GPT-5.4 Mini |
| Finance Agent (Vals AI) | 45.4% | 38.2% | GPT-5.4 Mini |
| Tax Agent Bench (Vals AI) | 8.8% | 5.0% | GPT-5.4 Mini |
| Legal Research Bench (Vals AI) | 12.5% | 6.3% | GPT-5.4 Mini |
| Excel Modeling Benchmark (Vals AI) | 45.4% | 44.8% | GPT-5.4 Mini |
| τ²-Bench Telecom | 83.3% | 76.0% | GPT-5.4 Mini |
| DeepResearch Bench | 36.3% | Not measured | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index123
| Benchmark | GPT-5.4 Mini | GPT-5.4 Nano | Leader |
|---|---|---|---|
| GPQA Diamond | 83.1% | 77.5% | GPT-5.4 Mini |
| MMMU Pro (Vals AI) | 79.3% | 73.6% | GPT-5.4 Mini |
| GPQA Diamond (Artificial Analysis run) | 87.5% | 81.7% | GPT-5.4 Mini |
| Humanity's Last Exam (Artificial Analysis run) | 28.1% | 28.3% | GPT-5.4 Nano |
| GPQA Diamond (Epoch AI run) | 86.9% | 78.5% | GPT-5.4 Mini |
| ARC-AGI | 63.7% | 51.5% | GPT-5.4 Mini |
| ARC-AGI-2 | 18.9% | 5.7% | GPT-5.4 Mini |
| Chess puzzles | 23.0% | 45.0% | GPT-5.4 Nano |
| Mystery game puzzles | 11.0% | 9.0% | GPT-5.4 Mini |
| LMArena Text: hard prompts | 1424 | 1381 | GPT-5.4 Mini |
| LMArena Text: expert | 1435 | 1396 | GPT-5.4 Mini |
| LMArena Text: hard prompts in English | 1420 | 1387 | GPT-5.4 Mini |
| LMArena Vision: diagrams | 1266 | 1210 | GPT-5.4 Mini |
| LMArena Vision: homework | 1285 | 1225 | GPT-5.4 Mini |
| Kagi LLM Benchmark | 37.9% | 39.7% | GPT-5.4 Nano |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index61
| Benchmark | GPT-5.4 Mini | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AIME | 95.6% | 88.8% | GPT-5.4 Mini |
| OTIS Mock AIME | 88.9% | 87.8% | GPT-5.4 Mini |
| FrontierMath, tiers 1 to 3 | 51.2% | 44.9% | GPT-5.4 Mini |
| FrontierMath, tier 4 | 9.8% | 12.2% | GPT-5.4 Nano |
| ProofBench | 21.0% | 5.0% | GPT-5.4 Mini |
| LMArena Text: math | 1418 | 1405 | GPT-5.4 Mini |
| LMArena Text: mathematical work | 1429 | 1409 | GPT-5.4 Mini |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index82
| Benchmark | GPT-5.4 Mini | GPT-5.4 Nano | Leader |
|---|---|---|---|
| MMLU Pro | 84.5% | 77.2% | GPT-5.4 Mini |
| LegalBench (Vals AI) | Not measured | 77.9% | Only GPT-5.4 Nano measured |
| CaseLaw (Vals AI) | 51.7% | 51.9% | GPT-5.4 Nano |
| CorpFin (Vals AI) | 60.9% | 61.2% | GPT-5.4 Nano |
| TaxEval (Vals AI) | 71.2% | 67.4% | GPT-5.4 Mini |
| MortgageTax (Vals AI) | 63.5% | 59.1% | GPT-5.4 Mini |
| MedCode (Vals AI) | Not measured | 41.0% | Only GPT-5.4 Nano measured |
| SimpleQA Verified | 29.4% | 11.7% | GPT-5.4 Mini |
| LMArena Text: science | 1417 | 1374 | GPT-5.4 Mini |
| LMArena Text: medicine and healthcare | 1395 | 1369 | GPT-5.4 Mini |
| LMArena Text: legal and government | 1414 | 1368 | GPT-5.4 Mini |
| LMArena Text: business and finance | 1418 | 1366 | GPT-5.4 Mini |
| Neither model has a result on the other 6 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.4 Mini | GPT-5.4 Nano | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index282
| Benchmark | GPT-5.4 Mini | GPT-5.4 Nano | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 50.8% | 38.1% | GPT-5.4 Mini |
| MedScribe (Vals AI) | Not measured | 77.1% | Only GPT-5.4 Nano measured |
| Vals Multimodal Index | 54.2% | 47.6% | GPT-5.4 Mini |
| IFBench | 73.3% | 75.9% | GPT-5.4 Nano |
| Long context reasoning (AA-LCR) | 77.0% | 76.7% | GPT-5.4 Mini |
| DTBench | 80.0% | 80.3% | GPT-5.4 Nano |
| LMCA | 40.8% | 36.9% | GPT-5.4 Mini |
| LMArena Text | 1412 | 1372 | GPT-5.4 Mini |
| LMArena Text: instruction following | 1405 | 1362 | GPT-5.4 Mini |
| LMArena Text: creative writing | 1370 | 1315 | GPT-5.4 Mini |
| LMArena Vision | 1245 | 1196 | GPT-5.4 Mini |
| LMArena Text: English | 1412 | 1381 | GPT-5.4 Mini |
| LMArena Text: non-English | 1405 | 1359 | GPT-5.4 Mini |
| LMArena Text: Chinese | 1446 | 1391 | GPT-5.4 Mini |
| LMArena Text: German | 1408 | 1368 | GPT-5.4 Mini |
| LMArena Text: Japanese | 1375 | 1343 | GPT-5.4 Mini |
| LMArena Text: Korean | 1370 | 1321 | GPT-5.4 Mini |
| LMArena Text: French | 1441 | 1395 | GPT-5.4 Mini |
| LMArena Text: Spanish | 1405 | 1371 | GPT-5.4 Mini |
| LMArena Text: Russian | 1417 | 1363 | GPT-5.4 Mini |
| LMArena Text: Polish | 1415 | 1366 | GPT-5.4 Mini |
| LMArena Text: multi-turn | 1429 | 1382 | GPT-5.4 Mini |
| LMArena Text: longer queries | 1408 | 1365 | GPT-5.4 Mini |
| LMArena Text: writing and language | 1393 | 1338 | GPT-5.4 Mini |
| LMArena Text: entertainment and media | 1373 | 1325 | GPT-5.4 Mini |
| LMArena Vision: English | 1244 | 1202 | GPT-5.4 Mini |
| LMArena Vision: Chinese | 1286 | 1232 | GPT-5.4 Mini |
| LMArena Vision: reading text | 1253 | 1204 | GPT-5.4 Mini |
| LMArena Vision: humor | 1235 | 1161 | GPT-5.4 Mini |
| LMArena Vision: recognizing things | 1218 | 1141 | GPT-5.4 Mini |
| LMArena Vision: creative writing | 1222 | 1159 | GPT-5.4 Mini |
| 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 | GPT-5.4 Mini | 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
GPT-5.4 Nano costs less
Repository review
50K input + 3K output tokens
GPT-5.4 Nano costs less
Agent loop
200K input + 10K output tokens
GPT-5.4 Nano 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 | OpenAI GPT-5.4 Mini | OpenAI GPT-5.4 Nano |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | March 17, 2026 | March 17, 2026 |
| Context window | 400K | 400K |
| Input $/Mtok | $0.75 | $0.20 |
| Output $/Mtok | $4.50 | $1.25 |
| Coding index | 35.8 | 44.8 |
| Independent measurements behind it | 5 | 2 |
| Cost per solved task | $0.70 | $0.14 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.4 Mini better than GPT-5.4 Nano for coding?
Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 35.8 for GPT-5.4 Mini, though on 2 benchmarks against 5. Pick GPT-5.4 Mini for work measured by SWE-bench Verified (Vals AI) or Vibe Code Bench (Vals AI), where it leads.
Which is cheaper, GPT-5.4 Mini or GPT-5.4 Nano?
GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and GPT-5.4 Nano $0.14.
Which has the bigger context window, GPT-5.4 Mini or GPT-5.4 Nano?
Neither: both take 400K tokens.
How many benchmarks is the GPT-5.4 Mini vs GPT-5.4 Nano comparison based on?
82 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Mini's coding index rests on 5 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.