Nova Premier 1.0 vs GPT-4.1 Nano
Nova Premier 1.0 leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 9.2 to 7.8, and GPT-4.1 Nano costs 31.3x less per output token ($0.40 vs $12.50 per million). Updated October 22, 2026; 13 benchmarks have a result for both.
Nova Premier 1.0 or GPT-4.1 Nano: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Nova Premier 1.0 for work measured by LiveCodeBench (Artificial Analysis run) or AA Math Index, where it leads.
- Shared results
- 13
- Nova Premier 1.0 only
- 1
- GPT-4.1 Nano only
- 58
- Like-for-like categories
- 8 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
Nova Premier 1.0
Nova Premier 1.0 leads, 9.2 against 7.8.
Same board, both measured
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
GPT-4.1 Nano
GPT-4.1 Nano leads, 972 against 835.
Same board, both measured
Long documents
Listed context window
GPT-4.1 Nano
GPT-4.1 Nano takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-4.1 Nano
Nova Premier 1.0 $0.0088, GPT-4.1 Nano $0.0003 per turn.
List prices
At a glance
- Coding index
- Nova Premier 1.0 not benchmarked, GPT-4.1 Nano not benchmarked.
- Widest category
- Agentic work, 21.1 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Nova Premier 1.0 38.3% against GPT-4.1 Nano 17.3%, 21.1 points apart on a 0 to 100 scale.
- Output price
- Nova Premier 1.0 $12.50 against GPT-4.1 Nano $0.40 per million output tokens, 31.3x apart.
- Context window
- Nova Premier 1.0 takes 1M tokens, GPT-4.1 Nano 1.05M.
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 | Nova Premier 1.0 | Bars | GPT-4.1 Nano | Ties |
|---|---|---|---|---|
| Coding | 1 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 0 | ||
| Web design | 0 | 1 | ||
| General | 2 | 0 | ||
| All shared boards | 9 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
| Benchmark | Nova Premier 1.0 | GPT-4.1 Nano | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 8.9% | Only GPT-4.1 Nano measured |
| AA Coding Index | Not measured | 11.1 | Only GPT-4.1 Nano measured |
| LiveCodeBench (Vals AI) | Not measured | 42.7% | Only GPT-4.1 Nano measured |
| LiveCodeBench (Artificial Analysis run) | 31.7% | 32.6% | GPT-4.1 Nano |
| Terminal-Bench Hard (Artificial Analysis run) | 6.8% | 3.8% | Nova Premier 1.0 |
| WeirdML | Not measured | 19.0% | Only GPT-4.1 Nano measured |
| ALE-Bench | 147.4 | Not measured | Only Nova Premier 1.0 measured |
| LMArena Text: coding | Not measured | 1306 | Only GPT-4.1 Nano measured |
| LMArena Text: software and IT | Not measured | 1305 | Only GPT-4.1 Nano measured |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nova Premier 1.0 | GPT-4.1 Nano | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.2 | 7.8 | Nova Premier 1.0 |
| Epoch Capabilities Index | Not measured | 129.5 | Only GPT-4.1 Nano measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nova Premier 1.0 | GPT-4.1 Nano | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 38.3% | 17.3% | Nova Premier 1.0 |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 33.1% | 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 index30
| Benchmark | Nova Premier 1.0 | GPT-4.1 Nano | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 50.8% | Only GPT-4.1 Nano measured |
| MMMU Pro (Vals AI) | Not measured | 55.0% | Only GPT-4.1 Nano measured |
| GPQA Diamond (Artificial Analysis run) | 56.9% | 51.2% | Nova Premier 1.0 |
| Humanity's Last Exam (Artificial Analysis run) | 4.2% | 3.8% | Nova Premier 1.0 |
| GPQA Diamond (Epoch AI run) | Not measured | 48.9% | Only GPT-4.1 Nano measured |
| ARC-AGI | Not measured | 0.0% | Only GPT-4.1 Nano measured |
| ARC-AGI-2 | Not measured | 0.0% | Only GPT-4.1 Nano measured |
| Chess puzzles | Not measured | 0.0% | Only GPT-4.1 Nano measured |
| LMArena Text: hard prompts | Not measured | 1286 | Only GPT-4.1 Nano measured |
| LMArena Text: expert | Not measured | 1271 | Only GPT-4.1 Nano measured |
| LMArena Text: hard prompts in English | Not measured | 1293 | Only GPT-4.1 Nano measured |
| Kagi LLM Benchmark | 44.8% | 33.3% | Nova Premier 1.0 |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Premier 1.0 | GPT-4.1 Nano | Leader |
|---|---|---|---|
| AIME | Not measured | 26.5% | Only GPT-4.1 Nano measured |
| MATH 500 (Vals AI) | Not measured | 80.2% | Only GPT-4.1 Nano measured |
| MGSM (Vals AI) | Not measured | 69.3% | Only GPT-4.1 Nano measured |
| AA Math Index | 17.3 | 24.0 | GPT-4.1 Nano |
| AIME 2025 (Artificial Analysis run) | 17.3% | 24.0% | GPT-4.1 Nano |
| OTIS Mock AIME | Not measured | 28.9% | Only GPT-4.1 Nano measured |
| MATH level 5 | Not measured | 70.0% | Only GPT-4.1 Nano measured |
| LMArena Text: math | Not measured | 1274 | Only GPT-4.1 Nano measured |
| LMArena Text: mathematical work | Not measured | 1274 | Only GPT-4.1 Nano measured |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nova Premier 1.0 | GPT-4.1 Nano | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 63.5% | Only GPT-4.1 Nano measured |
| LegalBench (Vals AI) | Not measured | 61.1% | Only GPT-4.1 Nano measured |
| CorpFin (Vals AI) | Not measured | 42.1% | Only GPT-4.1 Nano measured |
| TaxEval (Vals AI) | Not measured | 60.8% | Only GPT-4.1 Nano measured |
| MortgageTax (Vals AI) | Not measured | 52.8% | Only GPT-4.1 Nano measured |
| MedQA (Vals AI) | Not measured | 68.2% | Only GPT-4.1 Nano measured |
| MMLU Pro (Artificial Analysis run) | 73.3% | 65.7% | Nova Premier 1.0 |
| SimpleQA Verified | Not measured | 6.0% | Only GPT-4.1 Nano measured |
| LMArena Text: science | Not measured | 1297 | Only GPT-4.1 Nano measured |
| LMArena Text: medicine and healthcare | Not measured | 1276 | Only GPT-4.1 Nano measured |
| LMArena Text: legal and government | Not measured | 1300 | Only GPT-4.1 Nano measured |
| LMArena Text: business and finance | Not measured | 1267 | Only GPT-4.1 Nano measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Premier 1.0 | GPT-4.1 Nano | Leader |
|---|---|---|---|
| Design Arena: websites | 835 | 972 | GPT-4.1 Nano |
| Design Arena: UI components | Not measured | 913 | Only GPT-4.1 Nano measured |
| Design Arena: game dev | Not measured | 970 | Only GPT-4.1 Nano measured |
| Design Arena: data viz | Not measured | 891 | Only GPT-4.1 Nano measured |
| Design Arena: 3D | Not measured | 924 | Only GPT-4.1 Nano measured |
| Design Arena: all code categories | Not measured | 962 | 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 index20
| Benchmark | Nova Premier 1.0 | GPT-4.1 Nano | Leader |
|---|---|---|---|
| IFBench | 36.2% | 32.0% | Nova Premier 1.0 |
| Long context reasoning (AA-LCR) | 34.3% | 20.3% | Nova Premier 1.0 |
| DTBench | Not measured | 52.5% | Only GPT-4.1 Nano measured |
| LMCA | Not measured | 5.5% | Only GPT-4.1 Nano measured |
| Fiction.LiveBench | Not measured | 25.0% | Only GPT-4.1 Nano measured |
| LMArena Text | Not measured | 1285 | Only GPT-4.1 Nano measured |
| LMArena Text: instruction following | Not measured | 1266 | Only GPT-4.1 Nano measured |
| LMArena Text: creative writing | Not measured | 1260 | Only GPT-4.1 Nano measured |
| LMArena Vision | Not measured | 1063 | Only GPT-4.1 Nano measured |
| LMArena Text: English | Not measured | 1303 | Only GPT-4.1 Nano measured |
| LMArena Text: non-English | Not measured | 1260 | Only GPT-4.1 Nano measured |
| LMArena Text: Chinese | Not measured | 1270 | Only GPT-4.1 Nano measured |
| LMArena Text: German | Not measured | 1288 | Only GPT-4.1 Nano measured |
| LMArena Text: Japanese | Not measured | 1198 | Only GPT-4.1 Nano measured |
| LMArena Text: Russian | Not measured | 1261 | Only GPT-4.1 Nano measured |
| LMArena Text: multi-turn | Not measured | 1277 | Only GPT-4.1 Nano measured |
| LMArena Text: longer queries | Not measured | 1283 | Only GPT-4.1 Nano measured |
| LMArena Text: writing and language | Not measured | 1261 | Only GPT-4.1 Nano measured |
| LMArena Text: entertainment and media | Not measured | 1243 | Only GPT-4.1 Nano measured |
| LMArena Vision: English | Not measured | 1101 | Only GPT-4.1 Nano measured |
| Neither model has a result on the other 26 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Premier 1.0 | GPT-4.1 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-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 | Amazon Nova Premier 1.0 | OpenAI GPT-4.1 Nano |
|---|---|---|
| Maker | Amazon | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | October 31, 2025 | April 14, 2025 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $2.50 | $0.10 |
| Output $/Mtok | $12.50 | $0.40 |
| 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 Nova Premier 1.0 better than GPT-4.1 Nano for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Premier 1.0 for work measured by LiveCodeBench (Artificial Analysis run) or AA Math Index, where it leads.
Which is cheaper, Nova Premier 1.0 or GPT-4.1 Nano?
Nova Premier 1.0 costs $2.50 per million input tokens and $12.50 per million output tokens; GPT-4.1 Nano costs $0.10 and $0.40. Cost per solved task is known for neither of them.
Which has the bigger context window, Nova Premier 1.0 or GPT-4.1 Nano?
GPT-4.1 Nano, with 1.05M tokens against 1M.
How many benchmarks is the Nova Premier 1.0 vs GPT-4.1 Nano comparison based on?
13 benchmarks have a result for both models as of October 22, 2026. Nova Premier 1.0's coding index rests on 0 independent benchmarks and GPT-4.1 Nano's on 0. Where only one model has a result, the page says so instead of naming a winner.