GPT-4.1 Nano vs GPT-4o (2024-11-20)
GPT-4o (2024-11-20) leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 8.4 to 7.8, and GPT-4.1 Nano costs 25.0x less per output token ($0.40 vs $10.00 per million). Updated October 23, 2026; 17 benchmarks have a result for both.
GPT-4.1 Nano or GPT-4o (2024-11-20): which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-4.1 Nano for output tokens 25.0x cheaper ($0.40 vs $10.00 per million) and a larger context window (1.05M against 128K tokens).
- Shared results
- 17
- GPT-4.1 Nano only
- 54
- GPT-4o (2024-11-20) only
- 7
- Like-for-like categories
- 5 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
GPT-4o (2024-11-20)
GPT-4o (2024-11-20) leads, 8.4 against 7.8.
Same board, both measured
Reasoning
GPQA Diamond
GPT-4o (2024-11-20)
GPT-4o (2024-11-20) leads, 53.8% against 50.8%.
Same board, both measured
Math
AIME
GPT-4.1 Nano
GPT-4.1 Nano leads, 26.5% against 11.9%.
Same board, both measured
Knowledge
MMLU Pro
GPT-4o (2024-11-20)
GPT-4o (2024-11-20) leads, 72.6% against 63.5%.
Same board, both measured
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 (2024-11-20) $0.0075 per turn.
List prices
At a glance
- Coding index
- GPT-4.1 Nano not benchmarked, GPT-4o (2024-11-20) not benchmarked.
- Widest category
- Math, 16.9 points apart on average over 5 shared benchmarks.
- Widest single gap
- OTIS Mock AIME: GPT-4.1 Nano 28.9% against GPT-4o (2024-11-20) 6.3%, 22.6 points apart on a 0 to 100 scale.
- Output price
- GPT-4.1 Nano $0.40 against GPT-4o (2024-11-20) $10.00 per million output tokens, 25.0x apart.
- Context window
- GPT-4.1 Nano takes 1.05M tokens, GPT-4o (2024-11-20) 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 (2024-11-20) | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 1 | 2 | ||
| Math | 4 | 1 | ||
| Knowledge | 0 | 5 | ||
| All shared boards | 5 | 12 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | GPT-4.1 Nano | GPT-4o (2024-11-20) | Leader |
|---|---|---|---|
| Aider polyglot | 8.9% | 18.2% | GPT-4o (2024-11-20) |
| AA Coding Index | 11.1 | Not measured | Only GPT-4.1 Nano measured |
| LiveCodeBench (Vals AI) | 42.7% | 43.4% | GPT-4o (2024-11-20) |
| 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 |
| GSO-Bench | Not measured | 0.0% | Only GPT-4o (2024-11-20) measured |
| WeirdML | 19.0% | 25.1% | GPT-4o (2024-11-20) |
| Cybench | Not measured | 12.5% | Only GPT-4o (2024-11-20) measured |
| LMArena Text: coding | 1305 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: software and IT | 1305 | Not measured | Only GPT-4.1 Nano measured |
| Neither model has a result on the other 33 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4.1 Nano | GPT-4o (2024-11-20) | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.8 | 8.4 | GPT-4o (2024-11-20) |
| Epoch Capabilities Index | 129.5 | Not measured | Only GPT-4.1 Nano measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | GPT-4.1 Nano | GPT-4o (2024-11-20) | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 17.3% | Not measured | Only GPT-4.1 Nano measured |
| TheAgentCompany | Not measured | 8.6% | Only GPT-4o (2024-11-20) measured |
| Berkeley Function Calling Leaderboard (BFCL) | 33.1% | Not measured | Only GPT-4.1 Nano measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | GPT-4.1 Nano | GPT-4o (2024-11-20) | Leader |
|---|---|---|---|
| GPQA Diamond | 50.8% | 53.8% | GPT-4o (2024-11-20) |
| MMMU Pro (Vals AI) | 55.0% | 62.2% | GPT-4o (2024-11-20) |
| 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% | 47.9% | 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 |
| Chess puzzles | 0.0% | Not measured | Only GPT-4.1 Nano measured |
| VPCT | Not measured | 40.0% | Only GPT-4o (2024-11-20) measured |
| LMArena Text: hard prompts | 1286 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: expert | 1272 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: hard prompts in English | 1292 | Not measured | Only GPT-4.1 Nano measured |
| Kagi LLM Benchmark | 33.3% | Not measured | Only GPT-4.1 Nano measured |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | GPT-4.1 Nano | GPT-4o (2024-11-20) | Leader |
|---|---|---|---|
| AIME | 26.5% | 11.9% | GPT-4.1 Nano |
| MATH 500 (Vals AI) | 80.2% | 74.0% | GPT-4.1 Nano |
| MGSM (Vals AI) | 69.3% | 90.4% | GPT-4o (2024-11-20) |
| 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% | 6.3% | GPT-4.1 Nano |
| MATH level 5 | 70.0% | 49.8% | GPT-4.1 Nano |
| LMArena Text: math | 1274 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: mathematical work | 1274 | Not measured | Only GPT-4.1 Nano measured |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | GPT-4.1 Nano | GPT-4o (2024-11-20) | Leader |
|---|---|---|---|
| MMLU Pro | 63.5% | 72.6% | GPT-4o (2024-11-20) |
| LegalBench (Vals AI) | 61.1% | 82.2% | GPT-4o (2024-11-20) |
| CaseLaw (Vals AI) | Not measured | 59.7% | Only GPT-4o (2024-11-20) measured |
| CorpFin (Vals AI) | 42.1% | 45.9% | GPT-4o (2024-11-20) |
| TaxEval (Vals AI) | 60.8% | 74.5% | GPT-4o (2024-11-20) |
| MortgageTax (Vals AI) | 52.8% | 57.4% | GPT-4o (2024-11-20) |
| 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% | Not measured | Only GPT-4.1 Nano measured |
| GeoBench | Not measured | 71.0% | Only GPT-4o (2024-11-20) measured |
| LMArena Text: science | 1297 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: medicine and healthcare | 1276 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: legal and government | 1300 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: business and finance | 1266 | Not measured | Only GPT-4.1 Nano measured |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | GPT-4.1 Nano | GPT-4o (2024-11-20) | Leader |
|---|---|---|---|
| Design Arena: websites | 973 | Not measured | Only GPT-4.1 Nano measured |
| Design Arena: UI components | 913 | Not measured | Only GPT-4.1 Nano measured |
| Design Arena: game dev | 970 | Not measured | Only GPT-4.1 Nano measured |
| Design Arena: data viz | 891 | Not measured | Only GPT-4.1 Nano measured |
| Design Arena: 3D | 926 | Not measured | Only GPT-4.1 Nano measured |
| Design Arena: all code categories | 962 | Not measured | Only GPT-4.1 Nano measured |
| Neither model has a result on the other 3 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
| Benchmark | GPT-4.1 Nano | GPT-4o (2024-11-20) | 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 | 81.8% | Only GPT-4o (2024-11-20) measured |
| LMArena Text | 1285 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: instruction following | 1266 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: creative writing | 1260 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Vision | 1063 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: English | 1303 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: non-English | 1260 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: Chinese | 1270 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: German | 1288 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: Japanese | 1198 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: Russian | 1261 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: multi-turn | 1277 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: longer queries | 1282 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: writing and language | 1261 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Text: entertainment and media | 1243 | Not measured | Only GPT-4.1 Nano measured |
| LMArena Vision: English | 1101 | Not measured | Only GPT-4.1 Nano measured |
| Neither model has a result on the other 27 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4.1 Nano | GPT-4o (2024-11-20) | 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 (2024-11-20) |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | April 14, 2025 | November 20, 2024 |
| Context window | 1.05M | 128K |
| Input $/Mtok | $0.10 | $2.50 |
| Output $/Mtok | $0.40 | $10.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4.1 Nano better than GPT-4o (2024-11-20) for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Nano for output tokens 25.0x cheaper ($0.40 vs $10.00 per million) and a larger context window (1.05M against 128K tokens).
Which is cheaper, GPT-4.1 Nano or GPT-4o (2024-11-20)?
GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; GPT-4o (2024-11-20) costs $2.50 and $10.00. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-4.1 Nano or GPT-4o (2024-11-20)?
GPT-4.1 Nano, with 1.05M tokens against 128K.
How many benchmarks is the GPT-4.1 Nano vs GPT-4o (2024-11-20) comparison based on?
17 benchmarks have a result for both models as of October 23, 2026. GPT-4.1 Nano's coding index rests on 0 independent benchmarks and GPT-4o (2024-11-20)'s on 0. Where only one model has a result, the page says so instead of naming a winner.