GPT-4.1 Nano vs GPT-4o-mini (2024-07-18)
Updated October 21, 2026. 33 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GPT-4.1 Nano for coding: it scores 8.9 on the Vibe Coding Index against 3.6 for GPT-4o-mini (2024-07-18).
Pick GPT-4o-mini (2024-07-18) when what matters is Chess puzzles or SimpleQA Verified, where it leads.
- Shared results
- 33
- GPT-4.1 Nano only
- 36
- GPT-4o-mini (2024-07-18) only
- 13
- Like-for-like categories
- 5 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
GPT-4.1 Nano
GPT-4.1 Nano scores 8.9 against 3.6.
One benchmark behind each score
Intelligence
AA Intelligence Index
No call
Only GPT-4.1 Nano has a AA Intelligence Index result, 7.8.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-4.1 Nano has a GPQA Diamond result, 50.8%.
Directional only
Math
AIME
No call
Only GPT-4.1 Nano has a AIME result, 26.5%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-4.1 Nano has a MMLU Pro result, 63.5%.
Directional only
Web design
Design Arena: websites
No call
Only GPT-4.1 Nano has a Design Arena: websites result, 973.
Directional only
Long documents
Listed context window
GPT-4.1 Nano
GPT-4.1 Nano takes 1.05M tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-4.1 Nano
GPT-4.1 Nano $0.0003, GPT-4o-mini (2024-07-18) $0.0004 per turn.
List prices
At a glance
- Coding index
- GPT-4.1 Nano 8.9 from 1 benchmark, GPT-4o-mini (2024-07-18) 3.6 from 1 benchmark.
- Widest category
- Math, 10.2 points apart on average over 4 shared benchmarks.
- Widest single gap
- OTIS Mock AIME: GPT-4.1 Nano 28.9% against GPT-4o-mini (2024-07-18) 6.9%, 21.9 points apart on a 0 to 100 scale.
- Output price
- GPT-4.1 Nano $0.40 against GPT-4o-mini (2024-07-18) $0.60 per million output tokens, 1.5x apart.
- Context window
- GPT-4.1 Nano takes 1.05M tokens, GPT-4o-mini (2024-07-18) 128K.
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-4.1 Nano | Bars | GPT-4o-mini (2024-07-18) | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Reasoning | 4 | 1 | ||
| Math | 4 | 0 | ||
| Knowledge | 2 | 3 | ||
| General | 5 | 10 | ||
| All shared boards | 19 | 14 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index40
| Benchmark | GPT-4.1 Nano | GPT-4o-mini (2024-07-18) | Leader |
|---|---|---|---|
| Aider polyglot | 8.9% | 3.6% | GPT-4.1 Nano |
| AA Coding Index | 11.1 | Not measured | Only GPT-4.1 Nano measured |
| LiveCodeBench (Vals AI) | 42.7% | Not measured | Only GPT-4.1 Nano measured |
| LiveCodeBench (Artificial Analysis run) | 32.6% | Not measured | Only GPT-4.1 Nano measured |
| Terminal-Bench Hard (Artificial Analysis run) | 3.8% | Not measured | Only GPT-4.1 Nano measured |
| WeirdML | 19.0% | 11.8% | GPT-4.1 Nano |
| LMArena Text: coding | 1306 | 1290 | GPT-4.1 Nano |
| LMArena Text: software and IT | 1305 | 1291 | GPT-4.1 Nano |
| Neither model has a result on the other 30 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-4.1 Nano | GPT-4o-mini (2024-07-18) | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.8 | Not measured | Only GPT-4.1 Nano measured |
| Epoch Capabilities Index | 129.5 | Not measured | Only GPT-4.1 Nano measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-4.1 Nano | GPT-4o-mini (2024-07-18) | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 17.3% | Not measured | Only GPT-4.1 Nano measured |
| BALROG | Not measured | 17.4% | Only GPT-4o-mini (2024-07-18) measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | GPT-4.1 Nano | GPT-4o-mini (2024-07-18) | Leader |
|---|---|---|---|
| GPQA Diamond | 50.8% | Not measured | Only GPT-4.1 Nano measured |
| MMMU Pro (Vals AI) | 55.0% | Not measured | Only GPT-4.1 Nano measured |
| GPQA Diamond (Artificial Analysis run) | 51.2% | Not measured | Only GPT-4.1 Nano measured |
| Humanity's Last Exam (Artificial Analysis run) | 3.8% | Not measured | Only GPT-4.1 Nano measured |
| GPQA Diamond (Epoch AI run) | 48.9% | 37.7% | GPT-4.1 Nano |
| ARC-AGI | 0.0% | Not measured | Only GPT-4.1 Nano measured |
| ARC-AGI-2 | 0.0% | Not measured | Only GPT-4.1 Nano measured |
| SimpleBench | Not measured | 10.7% | Only GPT-4o-mini (2024-07-18) measured |
| Chess puzzles | 0.0% | 3.0% | GPT-4o-mini (2024-07-18) |
| Mystery game puzzles | Not measured | 12.0% | Only GPT-4o-mini (2024-07-18) measured |
| VPCT | Not measured | 34.0% | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: hard prompts | 1286 | 1267 | GPT-4.1 Nano |
| LMArena Text: expert | 1271 | 1234 | GPT-4.1 Nano |
| LMArena Text: hard prompts in English | 1293 | 1278 | GPT-4.1 Nano |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | GPT-4.1 Nano | GPT-4o-mini (2024-07-18) | Leader |
|---|---|---|---|
| AIME | 26.5% | Not measured | Only GPT-4.1 Nano measured |
| MATH 500 (Vals AI) | 80.2% | Not measured | Only GPT-4.1 Nano measured |
| MGSM (Vals AI) | 69.3% | Not measured | Only GPT-4.1 Nano measured |
| AA Math Index | 24.0 | Not measured | Only GPT-4.1 Nano measured |
| AIME 2025 (Artificial Analysis run) | 24.0% | Not measured | Only GPT-4.1 Nano measured |
| OTIS Mock AIME | 28.9% | 6.9% | GPT-4.1 Nano |
| FrontierMath, tiers 1 to 3 | Not measured | 0.7% | Only GPT-4o-mini (2024-07-18) measured |
| MATH level 5 | 70.0% | 52.6% | GPT-4.1 Nano |
| LMArena Text: math | 1274 | 1267 | GPT-4.1 Nano |
| LMArena Text: mathematical work | 1274 | 1271 | GPT-4.1 Nano |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | GPT-4.1 Nano | GPT-4o-mini (2024-07-18) | Leader |
|---|---|---|---|
| MMLU Pro | 63.5% | Not measured | Only GPT-4.1 Nano measured |
| LegalBench (Vals AI) | 61.1% | Not measured | Only GPT-4.1 Nano measured |
| CorpFin (Vals AI) | 42.1% | Not measured | Only GPT-4.1 Nano measured |
| TaxEval (Vals AI) | 60.8% | Not measured | Only GPT-4.1 Nano measured |
| MortgageTax (Vals AI) | 52.8% | Not measured | Only GPT-4.1 Nano measured |
| MedQA (Vals AI) | 68.2% | Not measured | Only GPT-4.1 Nano measured |
| MMLU Pro (Artificial Analysis run) | 65.7% | Not measured | Only GPT-4.1 Nano measured |
| SimpleQA Verified | 6.0% | 8.3% | GPT-4o-mini (2024-07-18) |
| MMLU | Not measured | 76.7% | Only GPT-4o-mini (2024-07-18) measured |
| GeoBench | Not measured | 64.0% | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: science | 1297 | 1286 | GPT-4.1 Nano |
| LMArena Text: medicine and healthcare | 1276 | 1282 | GPT-4o-mini (2024-07-18) |
| LMArena Text: legal and government | 1300 | 1305 | GPT-4o-mini (2024-07-18) |
| LMArena Text: business and finance | 1267 | 1265 | GPT-4.1 Nano |
| Neither model has a result on the other 3 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | GPT-4.1 Nano | GPT-4o-mini (2024-07-18) | Leader |
|---|---|---|---|
| Design Arena: websites | 973 | Not measured | Only GPT-4.1 Nano measured |
| Design Arena: UI components | 916 | Not measured | Only GPT-4.1 Nano measured |
| Design Arena: game dev | 971 | Not measured | Only GPT-4.1 Nano measured |
| Design Arena: data viz | 891 | Not measured | Only GPT-4.1 Nano measured |
| Design Arena: 3D | 925 | Not measured | Only GPT-4.1 Nano measured |
| Design Arena: all code categories | 963 | Not measured | Only GPT-4.1 Nano measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index510
| Benchmark | GPT-4.1 Nano | GPT-4o-mini (2024-07-18) | Leader |
|---|---|---|---|
| IFBench | 32.0% | Not measured | Only GPT-4.1 Nano measured |
| Long context reasoning (AA-LCR) | 20.3% | Not measured | Only GPT-4.1 Nano measured |
| DTBench | 52.5% | Not measured | Only GPT-4.1 Nano measured |
| LMCA | 5.5% | Not measured | Only GPT-4.1 Nano measured |
| Fiction.LiveBench | 25.0% | Not measured | Only GPT-4.1 Nano measured |
| Creative writing (Lech Mazur) | Not measured | 67.2% | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text | 1285 | 1286 | GPT-4o-mini (2024-07-18) |
| LMArena Text: instruction following | 1266 | 1258 | GPT-4.1 Nano |
| LMArena Text: creative writing | 1260 | 1268 | GPT-4o-mini (2024-07-18) |
| LMArena Vision | 1063 | 1066 | GPT-4o-mini (2024-07-18) |
| LMArena Text: English | 1303 | 1301 | GPT-4.1 Nano |
| LMArena Text: non-English | 1260 | 1266 | GPT-4o-mini (2024-07-18) |
| LMArena Text: Chinese | 1270 | 1265 | GPT-4.1 Nano |
| LMArena Text: German | 1288 | 1272 | GPT-4.1 Nano |
| LMArena Text: Japanese | 1198 | 1216 | GPT-4o-mini (2024-07-18) |
| LMArena Text: Korean | Not measured | 1195 | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: French | Not measured | 1297 | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: Spanish | Not measured | 1276 | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: Russian | 1261 | 1275 | GPT-4o-mini (2024-07-18) |
| LMArena Text: Polish | Not measured | 1244 | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: multi-turn | 1277 | 1285 | GPT-4o-mini (2024-07-18) |
| LMArena Text: longer queries | 1283 | 1289 | GPT-4o-mini (2024-07-18) |
| LMArena Text: writing and language | 1261 | 1282 | GPT-4o-mini (2024-07-18) |
| LMArena Text: entertainment and media | 1243 | 1253 | GPT-4o-mini (2024-07-18) |
| LMArena Vision: English | 1101 | 1072 | GPT-4.1 Nano |
| LMArena Vision: Chinese | Not measured | 1033 | Only GPT-4o-mini (2024-07-18) measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4.1 Nano | GPT-4o-mini (2024-07-18) | 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-4.1 Nano costs less
Repository review
50K input + 3K output tokens
GPT-4.1 Nano costs less
Agent loop
200K input + 10K output tokens
GPT-4.1 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-4.1 Nano | OpenAI GPT-4o-mini (2024-07-18) |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | April 14, 2025 | July 18, 2024 |
| Context window | 1.05M | 128K |
| Input $/Mtok | $0.10 | $0.15 |
| Output $/Mtok | $0.40 | $0.60 |
| Coding index | 8.9 | 3.6 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4.1 Nano better than GPT-4o-mini (2024-07-18) for coding?
Pick GPT-4.1 Nano for coding: it scores 8.9 on the Vibe Coding Index against 3.6 for GPT-4o-mini (2024-07-18). Pick GPT-4o-mini (2024-07-18) when what matters is Chess puzzles or SimpleQA Verified, where it leads.
Which is cheaper, GPT-4.1 Nano or GPT-4o-mini (2024-07-18)?
GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; GPT-4o-mini (2024-07-18) costs $0.15 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-4.1 Nano or GPT-4o-mini (2024-07-18)?
GPT-4.1 Nano, with 1.05M tokens against 128K.
How many benchmarks is the GPT-4.1 Nano vs GPT-4o-mini (2024-07-18) comparison based on?
33 benchmarks have a result for both models as of October 21, 2026. GPT-4.1 Nano's coding index rests on 1 independent benchmark and GPT-4o-mini (2024-07-18)'s on 1. Where only one model has a result, the page says so instead of naming a winner.