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Nova Micro 1.0 vs GPT-4.1 Nano

GPT-4.1 Nano leads Nova Micro 1.0 on the Artificial Analysis Intelligence Index, 7.8 to 5.9, and Nova Micro 1.0 costs 2.9x less per output token ($0.14 vs $0.40 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace Nova Micro 1.0 Replace GPT-4.1 Nano
Nova Micro 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$0.14
1
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
34
vs boards won of 35 shared

Nova Micro 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 Micro 1.0 for output tokens 2.9x cheaper ($0.14 vs $0.40 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model ANova Micro 1.0AmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
35
Nova Micro 1.0 only
4
GPT-4.1 Nano only
36
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.

At a glance

Coding index
Nova Micro 1.0 not benchmarked, GPT-4.1 Nano not benchmarked.
Widest category
Math, 14.4 points apart on average over 4 shared benchmarks.
Widest single gap
LiveCodeBench (Artificial Analysis run): Nova Micro 1.0 14.0% against GPT-4.1 Nano 32.6%, 18.6 points apart on a 0 to 100 scale.
Output price
Nova Micro 1.0 $0.14 against GPT-4.1 Nano $0.40 per million output tokens, 2.9x apart.
Context window
Nova Micro 1.0 takes 128K 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.

Boards won, where both have a result
CategoryNova Micro 1.0BarsGPT-4.1 NanoTies
Coding04
Intelligence01
Agentic work01
Reasoning14
Math04
Knowledge05
General015
All shared boards134
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Nova Micro 1.0 and GPT-4.1 Nano
BenchmarkNova Micro 1.0GPT-4.1 NanoLeader
Aider polyglotNot measured8.9%Only GPT-4.1 Nano measured
AA Coding IndexNot measured11.1Only GPT-4.1 Nano measured
LiveCodeBench (Vals AI)Not measured42.7%Only GPT-4.1 Nano measured
LiveCodeBench (Artificial Analysis run)14.0%32.6%GPT-4.1 Nano
Terminal-Bench Hard (Artificial Analysis run)1.5%3.8%GPT-4.1 Nano
WeirdMLNot measured19.0%Only GPT-4.1 Nano measured
LMArena Text: coding12181306GPT-4.1 Nano
LMArena Text: software and IT12151305GPT-4.1 Nano
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Micro 1.0 and GPT-4.1 Nano
BenchmarkNova Micro 1.0GPT-4.1 NanoLeader
AA Intelligence Index5.97.8GPT-4.1 Nano
Epoch Capabilities IndexNot measured129.5Only GPT-4.1 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Nova Micro 1.0 and GPT-4.1 Nano
BenchmarkNova Micro 1.0GPT-4.1 NanoLeader
τ²-Bench Telecom14.0%17.3%GPT-4.1 Nano
Berkeley Function Calling Leaderboard (BFCL)Not measured33.1%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 index14
Reasoning benchmarks for Nova Micro 1.0 and GPT-4.1 Nano
BenchmarkNova Micro 1.0GPT-4.1 NanoLeader
GPQA DiamondNot measured50.8%Only GPT-4.1 Nano measured
MMMU Pro (Vals AI)Not measured55.0%Only GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)35.8%51.2%GPT-4.1 Nano
Humanity's Last Exam (Artificial Analysis run)4.6%3.8%Nova Micro 1.0
GPQA Diamond (Epoch AI run)Not measured48.9%Only GPT-4.1 Nano measured
ARC-AGINot measured0.0%Only GPT-4.1 Nano measured
ARC-AGI-2Not measured0.0%Only GPT-4.1 Nano measured
Chess puzzlesNot measured0.0%Only GPT-4.1 Nano measured
LMArena Text: hard prompts11911286GPT-4.1 Nano
LMArena Text: expert11831271GPT-4.1 Nano
LMArena Text: hard prompts in English12031293GPT-4.1 Nano
Kagi LLM BenchmarkNot measured33.3%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 index04
Math benchmarks for Nova Micro 1.0 and GPT-4.1 Nano
BenchmarkNova Micro 1.0GPT-4.1 NanoLeader
AIMENot measured26.5%Only GPT-4.1 Nano measured
MATH 500 (Vals AI)Not measured80.2%Only GPT-4.1 Nano measured
MGSM (Vals AI)Not measured69.3%Only GPT-4.1 Nano measured
AA Math Index6.024.0GPT-4.1 Nano
AIME 2025 (Artificial Analysis run)6.0%24.0%GPT-4.1 Nano
OTIS Mock AIMENot measured28.9%Only GPT-4.1 Nano measured
MATH level 5Not measured70.0%Only GPT-4.1 Nano measured
LMArena Text: math12061274GPT-4.1 Nano
LMArena Text: mathematical work12121274GPT-4.1 Nano
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Nova Micro 1.0 and GPT-4.1 Nano
BenchmarkNova Micro 1.0GPT-4.1 NanoLeader
MMLU ProNot measured63.5%Only GPT-4.1 Nano measured
LegalBench (Vals AI)Not measured61.1%Only GPT-4.1 Nano measured
CorpFin (Vals AI)Not measured42.1%Only GPT-4.1 Nano measured
TaxEval (Vals AI)Not measured60.8%Only GPT-4.1 Nano measured
MortgageTax (Vals AI)Not measured52.8%Only GPT-4.1 Nano measured
MedQA (Vals AI)Not measured68.2%Only GPT-4.1 Nano measured
MMLU Pro (Artificial Analysis run)53.1%65.7%GPT-4.1 Nano
SimpleQA VerifiedNot measured6.0%Only GPT-4.1 Nano measured
MMLU70.8%Not measuredOnly Nova Micro 1.0 measured
LMArena Text: science12101297GPT-4.1 Nano
LMArena Text: medicine and healthcare12071276GPT-4.1 Nano
LMArena Text: legal and government12211300GPT-4.1 Nano
LMArena Text: business and finance11821267GPT-4.1 Nano
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Nova Micro 1.0 and GPT-4.1 Nano
BenchmarkNova Micro 1.0GPT-4.1 NanoLeader
Design Arena: websitesNot measured972Only GPT-4.1 Nano measured
Design Arena: UI componentsNot measured913Only GPT-4.1 Nano measured
Design Arena: game devNot measured970Only GPT-4.1 Nano measured
Design Arena: data vizNot measured891Only GPT-4.1 Nano measured
Design Arena: 3DNot measured924Only GPT-4.1 Nano measured
Design Arena: all code categoriesNot measured962Only 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 index015
General benchmarks for Nova Micro 1.0 and GPT-4.1 Nano
BenchmarkNova Micro 1.0GPT-4.1 NanoLeader
IFBench29.4%32.0%GPT-4.1 Nano
Long context reasoning (AA-LCR)13.0%20.3%GPT-4.1 Nano
DTBenchNot measured52.5%Only GPT-4.1 Nano measured
LMCANot measured5.5%Only GPT-4.1 Nano measured
Fiction.LiveBenchNot measured25.0%Only GPT-4.1 Nano measured
LMArena Text12081285GPT-4.1 Nano
LMArena Text: instruction following11741266GPT-4.1 Nano
LMArena Text: creative writing11721260GPT-4.1 Nano
LMArena VisionNot measured1063Only GPT-4.1 Nano measured
LMArena Text: English12241303GPT-4.1 Nano
LMArena Text: non-English11861260GPT-4.1 Nano
LMArena Text: Chinese12091270GPT-4.1 Nano
LMArena Text: German11921288GPT-4.1 Nano
LMArena Text: Japanese11541198GPT-4.1 Nano
LMArena Text: Korean1150Not measuredOnly Nova Micro 1.0 measured
LMArena Text: French1238Not measuredOnly Nova Micro 1.0 measured
LMArena Text: Spanish1225Not measuredOnly Nova Micro 1.0 measured
LMArena Text: Russian11851261GPT-4.1 Nano
LMArena Text: multi-turn11781277GPT-4.1 Nano
LMArena Text: longer queries12051283GPT-4.1 Nano
LMArena Text: writing and language11921261GPT-4.1 Nano
LMArena Text: entertainment and media11631243GPT-4.1 Nano
LMArena Vision: EnglishNot measured1101Only GPT-4.1 Nano measured
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nova Micro 1.0 and GPT-4.1 Nano
BenchmarkNova Micro 1.0GPT-4.1 NanoLeader
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

Nova Micro 1.0$0.0001Fits in one request
GPT-4.1 Nano$0.0003Fits in one request

Nova Micro 1.0 costs less

Repository review

50K input + 3K output tokens

Nova Micro 1.0$0.0022Fits in one request
GPT-4.1 Nano$0.0062Fits in one request

Nova Micro 1.0 costs less

Agent loop

200K input + 10K output tokens

Nova Micro 1.0$0.0084Exceeds the context window
GPT-4.1 Nano$0.024Fits in one request

Nova Micro 1.0 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.

Specifications of Nova Micro 1.0 and GPT-4.1 Nano
SpecificationAmazon Nova Micro 1.0OpenAI GPT-4.1 Nano
MakerAmazonOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedDecember 5, 2024April 14, 2025
Context window128K1.05M
Input $/Mtok$0.035$0.10
Output $/Mtok$0.14$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Micro 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 Micro 1.0 for output tokens 2.9x cheaper ($0.14 vs $0.40 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Nova Micro 1.0 or GPT-4.1 Nano?

Nova Micro 1.0 costs $0.035 per million input tokens and $0.14 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 Micro 1.0 or GPT-4.1 Nano?

GPT-4.1 Nano, with 1.05M tokens against 128K.

How many benchmarks is the Nova Micro 1.0 vs GPT-4.1 Nano comparison based on?

35 benchmarks have a result for both models as of October 22, 2026. Nova Micro 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.

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