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GPT-4.1 Nano vs Beam 1.0 501B A23B

Updated October 21, 2026. 24 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4.1 Nano Replace Beam 1.0 501B A23B
GPT-4.1 NanoOpenAI
Coding
8.9
Overall
7.8
Output $/M
$0.40
0
R Beam 1.0 501B A23BReflection
Coding
33.8
Overall
No data
Output $/M
$1.00
24
vs boards won of 24 shared

Decision reading

Pick Beam 1.0 501B A23B for coding: it scores 33.8 on the Vibe Coding Index against 8.9 for GPT-4.1 Nano.

Pick GPT-4.1 Nano when output tokens cost 2.5x less.

Model AGPT-4.1 NanoOpenAI8.9/1001 independent benchmarkNo cost per solved taskModel BBeam 1.0 501B A23BReflection33.8/1001 independent benchmarkNo cost per solved task
Shared results
24
GPT-4.1 Nano only
45
Beam 1.0 501B A23B only
4
Like-for-like categories
6 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
GPT-4.1 Nano 8.9 from 1 benchmark, Beam 1.0 501B A23B 33.8 from 1 benchmark.
Widest category
Web design, 33.2 points apart on average over 2 shared benchmarks.
Widest single gap
Design Arena: websites: GPT-4.1 Nano 973 against Beam 1.0 501B A23B 1253, 35.0 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against Beam 1.0 501B A23B $1.00 per million output tokens, 2.5x apart.
Context window
GPT-4.1 Nano takes 1.05M tokens, Beam 1.0 501B A23B 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
CategoryGPT-4.1 NanoBarsBeam 1.0 501B A23BTies
Coding02
Reasoning03
Math02
Knowledge04
Web design02
General011
All shared boards024
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4.1 Nano and Beam 1.0 501B A23B
BenchmarkGPT-4.1 NanoBeam 1.0 501B A23BLeader
Aider polyglot8.9%Not measuredOnly GPT-4.1 Nano measured
LMArena WebDevNot measured1437Only Beam 1.0 501B A23B measured
AA Coding Index11.1Not measuredOnly GPT-4.1 Nano measured
LiveCodeBench (Vals AI)42.7%Not measuredOnly GPT-4.1 Nano measured
LiveCodeBench (Artificial Analysis run)32.6%Not measuredOnly GPT-4.1 Nano measured
Terminal-Bench Hard (Artificial Analysis run)3.8%Not measuredOnly GPT-4.1 Nano measured
WeirdML19.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: coding13061473Beam 1.0 501B A23B
LMArena Text: software and IT13051461Beam 1.0 501B A23B
LMArena WebDev: ReactNot measured1443Only Beam 1.0 501B A23B measured
LMArena WebDev: HTMLNot measured1436Only Beam 1.0 501B A23B measured
Neither model has a result on the other 27 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for GPT-4.1 Nano and Beam 1.0 501B A23B
BenchmarkGPT-4.1 NanoBeam 1.0 501B A23BLeader
AA Intelligence Index7.8Not measuredOnly GPT-4.1 Nano measured
Epoch Capabilities Index129.5Not measuredOnly GPT-4.1 Nano measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GPT-4.1 Nano and Beam 1.0 501B A23B
BenchmarkGPT-4.1 NanoBeam 1.0 501B A23BLeader
τ²-Bench Telecom17.3%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for GPT-4.1 Nano and Beam 1.0 501B A23B
BenchmarkGPT-4.1 NanoBeam 1.0 501B A23BLeader
GPQA Diamond50.8%Not measuredOnly GPT-4.1 Nano measured
MMMU Pro (Vals AI)55.0%Not measuredOnly GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)51.2%Not measuredOnly GPT-4.1 Nano measured
Humanity's Last Exam (Artificial Analysis run)3.8%Not measuredOnly GPT-4.1 Nano measured
GPQA Diamond (Epoch AI run)48.9%Not measuredOnly GPT-4.1 Nano measured
ARC-AGI0.0%Not measuredOnly GPT-4.1 Nano measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Nano measured
Chess puzzles0.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: hard prompts12861442Beam 1.0 501B A23B
LMArena Text: expert12711447Beam 1.0 501B A23B
LMArena Text: hard prompts in English12931451Beam 1.0 501B A23B
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4.1 Nano and Beam 1.0 501B A23B
BenchmarkGPT-4.1 NanoBeam 1.0 501B A23BLeader
AIME26.5%Not measuredOnly GPT-4.1 Nano measured
MATH 500 (Vals AI)80.2%Not measuredOnly GPT-4.1 Nano measured
MGSM (Vals AI)69.3%Not measuredOnly GPT-4.1 Nano measured
AA Math Index24.0Not measuredOnly GPT-4.1 Nano measured
AIME 2025 (Artificial Analysis run)24.0%Not measuredOnly GPT-4.1 Nano measured
OTIS Mock AIME28.9%Not measuredOnly GPT-4.1 Nano measured
MATH level 570.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: math12741459Beam 1.0 501B A23B
LMArena Text: mathematical work12741475Beam 1.0 501B A23B
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4.1 Nano and Beam 1.0 501B A23B
BenchmarkGPT-4.1 NanoBeam 1.0 501B A23BLeader
MMLU Pro63.5%Not measuredOnly GPT-4.1 Nano measured
LegalBench (Vals AI)61.1%Not measuredOnly GPT-4.1 Nano measured
CorpFin (Vals AI)42.1%Not measuredOnly GPT-4.1 Nano measured
TaxEval (Vals AI)60.8%Not measuredOnly GPT-4.1 Nano measured
MortgageTax (Vals AI)52.8%Not measuredOnly GPT-4.1 Nano measured
MedQA (Vals AI)68.2%Not measuredOnly GPT-4.1 Nano measured
MMLU Pro (Artificial Analysis run)65.7%Not measuredOnly GPT-4.1 Nano measured
SimpleQA Verified6.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: science12971430Beam 1.0 501B A23B
LMArena Text: medicine and healthcare12761376Beam 1.0 501B A23B
LMArena Text: legal and government13001433Beam 1.0 501B A23B
LMArena Text: business and finance12671430Beam 1.0 501B A23B
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for GPT-4.1 Nano and Beam 1.0 501B A23B
BenchmarkGPT-4.1 NanoBeam 1.0 501B A23BLeader
Design Arena: websites9731253Beam 1.0 501B A23B
Design Arena: UI components916Not measuredOnly GPT-4.1 Nano measured
Design Arena: game dev9711222Beam 1.0 501B A23B
Design Arena: data viz891Not measuredOnly GPT-4.1 Nano measured
Design Arena: 3D925Not measuredOnly GPT-4.1 Nano measured
Design Arena: all code categories963Not measuredOnly 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 index011
General benchmarks for GPT-4.1 Nano and Beam 1.0 501B A23B
BenchmarkGPT-4.1 NanoBeam 1.0 501B A23BLeader
IFBench32.0%Not measuredOnly GPT-4.1 Nano measured
Long context reasoning (AA-LCR)20.3%Not measuredOnly GPT-4.1 Nano measured
DTBench52.5%Not measuredOnly GPT-4.1 Nano measured
LMCA5.5%Not measuredOnly GPT-4.1 Nano measured
Fiction.LiveBench25.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text12851425Beam 1.0 501B A23B
LMArena Text: instruction following12661430Beam 1.0 501B A23B
LMArena Text: creative writing12601390Beam 1.0 501B A23B
LMArena Vision1063Not measuredOnly GPT-4.1 Nano measured
LMArena Text: English13031436Beam 1.0 501B A23B
LMArena Text: non-English12601413Beam 1.0 501B A23B
LMArena Text: Chinese12701424Beam 1.0 501B A23B
LMArena Text: German1288Not measuredOnly GPT-4.1 Nano measured
LMArena Text: Japanese1198Not measuredOnly GPT-4.1 Nano measured
LMArena Text: FrenchNot measured1461Only Beam 1.0 501B A23B measured
LMArena Text: Russian12611412Beam 1.0 501B A23B
LMArena Text: multi-turn12771414Beam 1.0 501B A23B
LMArena Text: longer queries12831429Beam 1.0 501B A23B
LMArena Text: writing and language12611400Beam 1.0 501B A23B
LMArena Text: entertainment and media12431399Beam 1.0 501B A23B
LMArena Vision: English1101Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Nano and Beam 1.0 501B A23B
BenchmarkGPT-4.1 NanoBeam 1.0 501B A23BLeader
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$0.0003Fits in one request
Beam 1.0 501B A23B$0.0008Fits in one request

GPT-4.1 Nano costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Nano$0.0062Fits in one request
Beam 1.0 501B A23B$0.018Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Nano$0.024Fits in one request
Beam 1.0 501B A23B$0.070Fits in one request

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.

Specifications of GPT-4.1 Nano and Beam 1.0 501B A23B
SpecificationOpenAI GPT-4.1 NanoReflection Beam 1.0 501B A23B
MakerOpenAIReflection
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025October 16, 2026
Context window1.05M1.05M
Input $/Mtok$0.10$0.30
Output $/Mtok$0.40$1.00
Coding index8.933.8
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Nano better than Beam 1.0 501B A23B for coding?

Pick Beam 1.0 501B A23B for coding: it scores 33.8 on the Vibe Coding Index against 8.9 for GPT-4.1 Nano. Pick GPT-4.1 Nano when output tokens cost 2.5x less.

Which is cheaper, GPT-4.1 Nano or Beam 1.0 501B A23B?

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; Beam 1.0 501B A23B costs $0.30 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4.1 Nano or Beam 1.0 501B A23B?

Beam 1.0 501B A23B, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-4.1 Nano vs Beam 1.0 501B A23B comparison based on?

24 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 Beam 1.0 501B A23B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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