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Nova Micro 1.0 vs GPT-4.1

Updated October 21, 2026. 38 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Nova Micro 1.0 Replace GPT-4.1
Nova Micro 1.0Amazon
Coding
No data
Overall
5.9
Output $/M
$0.14
1
GPT-4.1OpenAI
Coding
No data
Overall
12.7
Output $/M
$8.00
37
vs boards won of 38 shared

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

Nova Micro 1.0 has the edge where output tokens cost 57.1x less, and where what matters is 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-4.1OpenAINot benchmarkedNo coding benchmark$0.37 per solved task
Shared results
38
Nova Micro 1.0 only
1
GPT-4.1 only
49
Like-for-like categories
7 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.

At a glance

Coding index
Nova Micro 1.0 not benchmarked, GPT-4.1 not benchmarked.
Widest category
Agentic work, 33.0 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Nova Micro 1.0 13.0% against GPT-4.1 68.3%, 55.3 points apart on a 0 to 100 scale.
Output price
Nova Micro 1.0 $0.14 against GPT-4.1 $8.00 per million output tokens, 57.1x apart.
Context window
Nova Micro 1.0 takes 128K tokens, GPT-4.1 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-4.1Ties
Coding04
Intelligence01
Agentic work01
Reasoning14
Math04
Knowledge05
General018
All shared boards137
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Nova Micro 1.0 and GPT-4.1
BenchmarkNova Micro 1.0GPT-4.1Leader
Aider polyglotNot measured52.4%Only GPT-4.1 measured
SWE-bench VerifiedNot measured39.6%Only GPT-4.1 measured
SWE-bench MultimodalNot measured31.1%Only GPT-4.1 measured
LiveCodeBench (Vals AI)Not measured54.7%Only GPT-4.1 measured
LiveCodeBench (Artificial Analysis run)14.0%45.7%GPT-4.1
Terminal-Bench Hard (Artificial Analysis run)1.5%13.6%GPT-4.1
WeirdMLNot measured39.0%Only GPT-4.1 measured
ALE-BenchNot measured558.1Only GPT-4.1 measured
LMArena Text: coding12181390GPT-4.1
LMArena Text: software and IT12151391GPT-4.1
Neither model has a result on the other 28 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
BenchmarkNova Micro 1.0GPT-4.1Leader
AA Intelligence Index5.912.7GPT-4.1
Epoch Capabilities IndexNot measured136.7Only GPT-4.1 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
BenchmarkNova Micro 1.0GPT-4.1Leader
τ²-Bench Telecom14.0%47.1%GPT-4.1
Neither model has a result on the other 38 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
BenchmarkNova Micro 1.0GPT-4.1Leader
GPQA DiamondNot measured65.4%Only GPT-4.1 measured
MMMU Pro (Vals AI)Not measured72.4%Only GPT-4.1 measured
GPQA Diamond (Artificial Analysis run)35.8%66.6%GPT-4.1
Humanity's Last Exam (Artificial Analysis run)4.6%4.2%Nova Micro 1.0
GPQA Diamond (Epoch AI run)Not measured66.9%Only GPT-4.1 measured
ARC-AGINot measured5.5%Only GPT-4.1 measured
ARC-AGI-2Not measured0.4%Only GPT-4.1 measured
SimpleBenchNot measured27.0%Only GPT-4.1 measured
Chess puzzlesNot measured3.0%Only GPT-4.1 measured
LMArena Text: hard prompts11911384GPT-4.1
LMArena Text: expert11831364GPT-4.1
LMArena Text: hard prompts in English12031393GPT-4.1
LMArena Vision: diagramsNot measured1215Only GPT-4.1 measured
LMArena Vision: homeworkNot measured1248Only GPT-4.1 measured
Neither model has a result on the other 7 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
BenchmarkNova Micro 1.0GPT-4.1Leader
AIMENot measured39.6%Only GPT-4.1 measured
MATH 500 (Vals AI)Not measured87.2%Only GPT-4.1 measured
MGSM (Vals AI)Not measured87.7%Only GPT-4.1 measured
AA Math Index6.034.7GPT-4.1
AIME 2025 (Artificial Analysis run)6.0%34.7%GPT-4.1
OTIS Mock AIMENot measured38.3%Only GPT-4.1 measured
FrontierMath, tiers 1 to 3Not measured6.0%Only GPT-4.1 measured
MATH level 5Not measured83.0%Only GPT-4.1 measured
LMArena Text: math12061369GPT-4.1
LMArena Text: mathematical work12121360GPT-4.1
Neither model has a result on the other 3 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
BenchmarkNova Micro 1.0GPT-4.1Leader
MMLU ProNot measured80.5%Only GPT-4.1 measured
LegalBench (Vals AI)Not measured83.1%Only GPT-4.1 measured
CaseLaw (Vals AI)Not measured69.9%Only GPT-4.1 measured
CorpFin (Vals AI)Not measured63.0%Only GPT-4.1 measured
TaxEval (Vals AI)Not measured75.1%Only GPT-4.1 measured
MortgageTax (Vals AI)Not measured65.9%Only GPT-4.1 measured
MedQA (Vals AI)Not measured91.2%Only GPT-4.1 measured
MMLU Pro (Artificial Analysis run)53.1%80.6%GPT-4.1
SimpleQA VerifiedNot measured31.1%Only GPT-4.1 measured
MMLU70.8%Not measuredOnly Nova Micro 1.0 measured
GeoBenchNot measured72.0%Only GPT-4.1 measured
LMArena Text: science12101382GPT-4.1
LMArena Text: medicine and healthcare12071379GPT-4.1
LMArena Text: legal and government12211399GPT-4.1
LMArena Text: business and finance11821369GPT-4.1
Neither model has a result on the other 2 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
BenchmarkNova Micro 1.0GPT-4.1Leader
Design Arena: websitesNot measured1039Only GPT-4.1 measured
Design Arena: UI componentsNot measured1000Only GPT-4.1 measured
Design Arena: game devNot measured1079Only GPT-4.1 measured
Design Arena: data vizNot measured1104Only GPT-4.1 measured
Design Arena: 3DNot measured850Only GPT-4.1 measured
Design Arena: all code categoriesNot measured1026Only GPT-4.1 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Nova Micro 1.0 and GPT-4.1
BenchmarkNova Micro 1.0GPT-4.1Leader
IFBench29.4%43.0%GPT-4.1
Long context reasoning (AA-LCR)13.0%68.3%GPT-4.1
DTBenchNot measured68.3%Only GPT-4.1 measured
LMCANot measured25.6%Only GPT-4.1 measured
Fiction.LiveBenchNot measured63.9%Only GPT-4.1 measured
LMArena Text12081383GPT-4.1
LMArena Text: instruction following11741367GPT-4.1
LMArena Text: creative writing11721363GPT-4.1
LMArena VisionNot measured1210Only GPT-4.1 measured
LMArena Text: English12241392GPT-4.1
LMArena Text: non-English11861370GPT-4.1
LMArena Text: Chinese12091382GPT-4.1
LMArena Text: German11921381GPT-4.1
LMArena Text: Japanese11541319GPT-4.1
LMArena Text: Korean11501338GPT-4.1
LMArena Text: French12381382GPT-4.1
LMArena Text: Spanish12251376GPT-4.1
LMArena Text: Russian11851377GPT-4.1
LMArena Text: PolishNot measured1389Only GPT-4.1 measured
LMArena Text: multi-turn11781397GPT-4.1
LMArena Text: longer queries12051385GPT-4.1
LMArena Text: writing and language11921371GPT-4.1
LMArena Text: entertainment and media11631365GPT-4.1
LMArena Vision: EnglishNot measured1209Only GPT-4.1 measured
LMArena Vision: ChineseNot measured1226Only GPT-4.1 measured
LMArena Vision: reading textNot measured1218Only GPT-4.1 measured
LMArena Vision: humorNot measured1196Only GPT-4.1 measured
LMArena Vision: captioningNot measured1207Only GPT-4.1 measured
LMArena Vision: recognizing thingsNot measured1208Only GPT-4.1 measured
LMArena Vision: creative writingNot measured1210Only GPT-4.1 measured
Neither model has a result on the other 16 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
BenchmarkNova Micro 1.0GPT-4.1Leader
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$0.0060Fits 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$0.124Fits 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$0.480Fits 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
SpecificationAmazon Nova Micro 1.0OpenAI GPT-4.1
MakerAmazonOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedDecember 5, 2024April 14, 2025
Context window128K1.05M
Input $/Mtok$0.035$2.00
Output $/Mtok$0.14$8.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computable$0.37
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Micro 1.0 better than GPT-4.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Nova Micro 1.0 has the edge where output tokens cost 57.1x less, and where what matters is 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?

Nova Micro 1.0 costs $0.035 per million input tokens and $0.14 per million output tokens; GPT-4.1 costs $2.00 and $8.00. Cost per solved task is known for GPT-4.1 only.

Which has the bigger context window, Nova Micro 1.0 or GPT-4.1?

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

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

38 benchmarks have a result for both models as of October 21, 2026. Nova Micro 1.0's coding index rests on 0 independent benchmarks and GPT-4.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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