GPT-5.4 Mini vs GPT-5 Nano
GPT-5.4 Mini leads GPT-5 Nano on the Artificial Analysis Intelligence Index, 24.1 to 13.0, and GPT-5 Nano costs 11.3x less per output token ($0.40 vs $4.50 per million). Updated October 22, 2026; 65 benchmarks have a result for both.
GPT-5.4 Mini or GPT-5 Nano: which to pick
Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; GPT-5 Nano has none, so the two cannot be ranked on coding.
Pick GPT-5 Nano for output tokens 11.3x cheaper ($0.40 vs $4.50 per million) and a lower cost per solved task ($0.109 against $0.70).
- Shared results
- 65
- GPT-5.4 Mini only
- 24
- GPT-5 Nano only
- 22
- 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 Mini has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
GPT-5.4 Mini
GPT-5.4 Mini leads, 24.1 against 13.0.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.4 Mini has a AA Agentic Index result, 17.9.
Directional only
Reasoning
GPQA Diamond
GPT-5.4 Mini
GPT-5.4 Mini leads, 83.1% against 63.4%.
Same board, both measured
Math
AIME
GPT-5.4 Mini
GPT-5.4 Mini leads, 95.6% against 81.2%.
Same board, both measured
Knowledge
MMLU Pro
GPT-5.4 Mini
GPT-5.4 Mini leads, 84.5% against 76.1%.
Same board, both measured
Web design
Design Arena: websites
No call
Only GPT-5 Nano has a Design Arena: websites result, 1101.
Directional only
Long documents
Listed context window
No call
Both take 400K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5 Nano
GPT-5.4 Mini $0.0030, GPT-5 Nano $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5 Nano
GPT-5.4 Mini $0.70, GPT-5 Nano $0.109.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5.4 Mini 35.8 from 5 benchmarks, GPT-5 Nano not benchmarked.
- Widest category
- Agentic work, 46.8 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: GPT-5.4 Mini 83.3% against GPT-5 Nano 36.5%, 46.8 points apart on a 0 to 100 scale.
- Output price
- GPT-5.4 Mini $4.50 against GPT-5 Nano $0.40 per million output tokens, 11.3x 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 Nano | Ties |
|---|---|---|---|---|
| Coding | 5 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 14 | 1 | ||
| Math | 7 | 0 | ||
| Knowledge | 8 | 1 | ||
| General | 26 | 0 | ||
| All shared boards | 63 | 2 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
| Benchmark | GPT-5.4 Mini | GPT-5 Nano | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 34.8% | Only GPT-5 Nano measured |
| LMArena WebDev | 1397 | Not measured | Only GPT-5.4 Mini measured |
| AA Coding Index | 56.1 | Not measured | Only GPT-5.4 Mini measured |
| LiveCodeBench (Vals AI) | 81.5% | 70.2% | GPT-5.4 Mini |
| SWE-bench Verified (Vals AI) | 73.0% | Not measured | Only GPT-5.4 Mini measured |
| Terminal-Bench 4 (Vals AI) | 2.5% | Not measured | Only GPT-5.4 Mini measured |
| Vibe Code Bench (Vals AI) | 48.0% | Not measured | Only GPT-5.4 Mini measured |
| Code migration (Vals AI) | 12.9% | Not measured | Only GPT-5.4 Mini measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only GPT-5.4 Mini measured |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | Not measured | Only GPT-5.4 Mini measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 78.9% | Only GPT-5 Nano measured |
| SciCode | 52.1% | Not measured | Only GPT-5.4 Mini measured |
| Terminal-Bench Hard (Artificial Analysis run) | 52.3% | 17.4% | GPT-5.4 Mini |
| Terminal-Bench | Not measured | 21.8% | Only GPT-5 Nano measured |
| FrontierCode | 27.0% | Not measured | Only GPT-5.4 Mini measured |
| WeirdML | 60.3% | 38.1% | GPT-5.4 Mini |
| ALE-Bench | 1188.6 | Not measured | Only GPT-5.4 Mini measured |
| LMArena Text: coding | 1438 | 1351 | GPT-5.4 Mini |
| LMArena Text: software and IT | 1436 | 1345 | 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 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-5.4 Mini | GPT-5 Nano | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.1 | 13.0 | GPT-5.4 Mini |
| Epoch Capabilities Index | 148.7 | 139.2 | GPT-5.4 Mini |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-5.4 Mini | GPT-5 Nano | Leader |
|---|---|---|---|
| AA Agentic Index | 17.9 | Not measured | Only GPT-5.4 Mini measured |
| Finance Agent (Vals AI) | 45.4% | Not measured | Only GPT-5.4 Mini measured |
| Tax Agent Bench (Vals AI) | 8.8% | Not measured | Only GPT-5.4 Mini measured |
| Legal Research Bench (Vals AI) | 12.5% | Not measured | Only GPT-5.4 Mini measured |
| Excel Modeling Benchmark (Vals AI) | 45.4% | Not measured | Only GPT-5.4 Mini measured |
| τ²-Bench Telecom | 83.3% | 36.5% | GPT-5.4 Mini |
| DeepResearch Bench | 36.3% | Not measured | Only GPT-5.4 Mini measured |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 51.4% | Only GPT-5 Nano measured |
| Neither model has a result on the other 33 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index141
| Benchmark | GPT-5.4 Mini | GPT-5 Nano | Leader |
|---|---|---|---|
| GPQA Diamond | 83.1% | 63.4% | GPT-5.4 Mini |
| MMMU Pro (Vals AI) | 79.3% | 70.9% | GPT-5.4 Mini |
| GPQA Diamond (Artificial Analysis run) | 87.5% | 67.6% | GPT-5.4 Mini |
| Humanity's Last Exam (Artificial Analysis run) | 28.1% | 9.5% | GPT-5.4 Mini |
| GPQA Diamond (Epoch AI run) | 86.9% | 69.4% | GPT-5.4 Mini |
| ARC-AGI | 63.7% | 20.7% | GPT-5.4 Mini |
| ARC-AGI-2 | 18.9% | 2.6% | GPT-5.4 Mini |
| Chess puzzles | 23.0% | 22.0% | GPT-5.4 Mini |
| Mystery game puzzles | 11.0% | 9.0% | GPT-5.4 Mini |
| VPCT | Not measured | 37.2% | Only GPT-5 Nano measured |
| LMArena Text: hard prompts | 1424 | 1328 | GPT-5.4 Mini |
| LMArena Text: expert | 1435 | 1321 | GPT-5.4 Mini |
| LMArena Text: hard prompts in English | 1420 | 1338 | GPT-5.4 Mini |
| LMArena Vision: diagrams | 1266 | 1141 | GPT-5.4 Mini |
| LMArena Vision: homework | 1285 | 1157 | GPT-5.4 Mini |
| Kagi LLM Benchmark | 37.9% | 62.2% | GPT-5 Nano |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | GPT-5.4 Mini | GPT-5 Nano | Leader |
|---|---|---|---|
| AIME | 95.6% | 81.2% | GPT-5.4 Mini |
| MATH 500 (Vals AI) | Not measured | 93.8% | Only GPT-5 Nano measured |
| MGSM (Vals AI) | Not measured | 89.3% | Only GPT-5 Nano measured |
| AA Math Index | Not measured | 83.7 | Only GPT-5 Nano measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 83.7% | Only GPT-5 Nano measured |
| OTIS Mock AIME | 88.9% | 81.1% | GPT-5.4 Mini |
| FrontierMath, tiers 1 to 3 | 51.2% | 20.0% | GPT-5.4 Mini |
| FrontierMath, tier 4 | 9.8% | 2.4% | GPT-5.4 Mini |
| ProofBench | 21.0% | 12.0% | GPT-5.4 Mini |
| MATH level 5 | Not measured | 95.2% | Only GPT-5 Nano measured |
| LMArena Text: math | 1418 | 1317 | GPT-5.4 Mini |
| LMArena Text: mathematical work | 1429 | 1326 | GPT-5.4 Mini |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index81
| Benchmark | GPT-5.4 Mini | GPT-5 Nano | Leader |
|---|---|---|---|
| MMLU Pro | 84.5% | 76.1% | GPT-5.4 Mini |
| LegalBench (Vals AI) | Not measured | 50.1% | Only GPT-5 Nano measured |
| CaseLaw (Vals AI) | 51.7% | 52.6% | GPT-5 Nano |
| CorpFin (Vals AI) | 60.9% | Not measured | Only GPT-5.4 Mini measured |
| TaxEval (Vals AI) | 71.2% | 67.4% | GPT-5.4 Mini |
| MortgageTax (Vals AI) | 63.5% | 53.6% | GPT-5.4 Mini |
| MedQA (Vals AI) | Not measured | 93.3% | Only GPT-5 Nano measured |
| MedCode (Vals AI) | Not measured | 30.4% | Only GPT-5 Nano measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 78.0% | Only GPT-5 Nano measured |
| SimpleQA Verified | 29.4% | 11.7% | GPT-5.4 Mini |
| LMArena Text: science | 1417 | 1318 | GPT-5.4 Mini |
| LMArena Text: medicine and healthcare | 1395 | 1335 | GPT-5.4 Mini |
| LMArena Text: legal and government | 1414 | 1298 | GPT-5.4 Mini |
| LMArena Text: business and finance | 1418 | 1311 | GPT-5.4 Mini |
| Neither model has a result on the other 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | GPT-5.4 Mini | GPT-5 Nano | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1101 | Only GPT-5 Nano measured |
| Design Arena: UI components | Not measured | 1064 | Only GPT-5 Nano measured |
| Design Arena: game dev | Not measured | 1044 | Only GPT-5 Nano measured |
| Design Arena: data viz | Not measured | 1056 | Only GPT-5 Nano measured |
| Design Arena: 3D | Not measured | 965 | Only GPT-5 Nano measured |
| Design Arena: all code categories | Not measured | 1084 | Only GPT-5 Nano measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index260
| Benchmark | GPT-5.4 Mini | GPT-5 Nano | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 50.8% | 30.4% | GPT-5.4 Mini |
| MedScribe (Vals AI) | Not measured | 72.9% | Only GPT-5 Nano measured |
| Vals Multimodal Index | 54.2% | Not measured | Only GPT-5.4 Mini measured |
| IFBench | 73.3% | 67.6% | GPT-5.4 Mini |
| Long context reasoning (AA-LCR) | 77.0% | 45.0% | GPT-5.4 Mini |
| DTBench | 80.0% | 62.7% | GPT-5.4 Mini |
| LMCA | 40.8% | 7.9% | GPT-5.4 Mini |
| Fiction.LiveBench | Not measured | 44.4% | Only GPT-5 Nano measured |
| LMArena Text | 1412 | 1320 | GPT-5.4 Mini |
| LMArena Text: instruction following | 1405 | 1306 | GPT-5.4 Mini |
| LMArena Text: creative writing | 1370 | 1249 | GPT-5.4 Mini |
| LMArena Vision | 1245 | 1159 | GPT-5.4 Mini |
| LMArena Text: English | 1412 | 1321 | GPT-5.4 Mini |
| LMArena Text: non-English | 1405 | 1313 | GPT-5.4 Mini |
| LMArena Text: Chinese | 1446 | 1356 | GPT-5.4 Mini |
| LMArena Text: German | 1408 | 1327 | GPT-5.4 Mini |
| LMArena Text: Japanese | 1375 | 1227 | GPT-5.4 Mini |
| LMArena Text: Korean | 1370 | 1269 | GPT-5.4 Mini |
| LMArena Text: French | 1441 | Not measured | Only GPT-5.4 Mini measured |
| LMArena Text: Spanish | 1405 | 1360 | GPT-5.4 Mini |
| LMArena Text: Russian | 1417 | 1296 | GPT-5.4 Mini |
| LMArena Text: Polish | 1415 | 1314 | GPT-5.4 Mini |
| LMArena Text: multi-turn | 1429 | 1311 | GPT-5.4 Mini |
| LMArena Text: longer queries | 1408 | 1312 | GPT-5.4 Mini |
| LMArena Text: writing and language | 1393 | 1283 | GPT-5.4 Mini |
| LMArena Text: entertainment and media | 1373 | 1268 | GPT-5.4 Mini |
| LMArena Vision: English | 1244 | 1170 | GPT-5.4 Mini |
| LMArena Vision: Chinese | 1286 | 1176 | GPT-5.4 Mini |
| LMArena Vision: reading text | 1253 | 1152 | GPT-5.4 Mini |
| LMArena Vision: humor | 1235 | 1110 | GPT-5.4 Mini |
| LMArena Vision: recognizing things | 1218 | Not measured | Only GPT-5.4 Mini measured |
| LMArena Vision: creative writing | 1222 | Not measured | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.4 Mini | GPT-5 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 Nano costs less
Repository review
50K input + 3K output tokens
GPT-5 Nano costs less
Agent loop
200K input + 10K output tokens
GPT-5 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 Nano |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | March 17, 2026 | August 7, 2025 |
| Context window | 400K | 400K |
| Input $/Mtok | $0.75 | $0.05 |
| Output $/Mtok | $4.50 | $0.40 |
| Coding index | 35.8 | Not benchmarked |
| Independent measurements behind it | 5 | 0 |
| Cost per solved task | $0.70 | $0.109 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.4 Mini better than GPT-5 Nano for coding?
Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; GPT-5 Nano has none, so the two cannot be ranked on coding. Pick GPT-5 Nano for output tokens 11.3x cheaper ($0.40 vs $4.50 per million) and a lower cost per solved task ($0.109 against $0.70).
Which is cheaper, GPT-5.4 Mini or GPT-5 Nano?
GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; GPT-5 Nano costs $0.05 and $0.40. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and GPT-5 Nano $0.109.
Which has the bigger context window, GPT-5.4 Mini or GPT-5 Nano?
Neither: both take 400K tokens.
How many benchmarks is the GPT-5.4 Mini vs GPT-5 Nano comparison based on?
65 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 Nano's on 0. Where only one model has a result, the page says so instead of naming a winner.