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o4 Mini vs Beam 1.0 501B A23B

Updated October 21, 2026. 25 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace o4 Mini Replace Beam 1.0 501B A23B
o4 MiniOpenAI
Coding
68.6
Overall
16.7
Output $/M
$4.40
0
R Beam 1.0 501B A23BReflection
Coding
33.8
Overall
No data
Output $/M
$1.00
25
vs boards won of 25 shared

Decision reading

Pick o4 Mini for coding: it scores 68.6 on the Vibe Coding Index against 33.8 for Beam 1.0 501B A23B.

Pick Beam 1.0 501B A23B when output tokens cost 4.4x less, or when the context window is larger, 1.05M against 200K tokens.

Model Ao4 MiniOpenAI68.6/1002 independent benchmarksNo cost per solved taskModel BBeam 1.0 501B A23BReflection33.8/1001 independent benchmarkNo cost per solved task
Shared results
25
o4 Mini only
69
Beam 1.0 501B A23B only
3
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
o4 Mini 68.6 from 2 benchmarks, Beam 1.0 501B A23B 33.8 from 1 benchmark.
Widest category
Web design, 30.4 points apart on average over 2 shared benchmarks.
Widest single gap
Design Arena: websites: o4 Mini 985 against Beam 1.0 501B A23B 1253, 33.5 points apart on a 0 to 100 scale.
Output price
o4 Mini $4.40 against Beam 1.0 501B A23B $1.00 per million output tokens, 4.4x apart.
Context window
o4 Mini takes 200K 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
Categoryo4 MiniBarsBeam 1.0 501B A23BTies
Coding02
Reasoning03
Math02
Knowledge04
Web design02
General012
All shared boards025
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
Coding benchmarks for o4 Mini and Beam 1.0 501B A23B
Benchmarko4 MiniBeam 1.0 501B A23BLeader
Aider polyglot72.0%Not measuredOnly o4 Mini measured
SWE-bench Verified64.6%Not measuredOnly o4 Mini measured
SWE-bench Multimodal33.9%Not measuredOnly o4 Mini measured
LMArena WebDevNot measured1437Only Beam 1.0 501B A23B measured
LiveCodeBench (Vals AI)82.2%Not measuredOnly o4 Mini measured
LiveCodeBench (Artificial Analysis run)85.9%Not measuredOnly o4 Mini measured
Terminal-Bench Hard (Artificial Analysis run)15.2%Not measuredOnly o4 Mini measured
GSO-Bench3.6%Not measuredOnly o4 Mini measured
WeirdML52.6%Not measuredOnly o4 Mini measured
LMArena Text: coding13681473Beam 1.0 501B A23B
LMArena Text: software and IT13671461Beam 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 25 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for o4 Mini and Beam 1.0 501B A23B
Benchmarko4 MiniBeam 1.0 501B A23BLeader
AA Intelligence Index16.7Not measuredOnly o4 Mini measured
Epoch Capabilities Index145.5Not measuredOnly o4 Mini measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for o4 Mini and Beam 1.0 501B A23B
Benchmarko4 MiniBeam 1.0 501B A23BLeader
τ²-Bench Telecom55.6%Not measuredOnly o4 Mini measured
METR time horizons63.9%Not measuredOnly o4 Mini measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for o4 Mini and Beam 1.0 501B A23B
Benchmarko4 MiniBeam 1.0 501B A23BLeader
GPQA Diamond74.5%Not measuredOnly o4 Mini measured
MMMU Pro (Vals AI)79.7%Not measuredOnly o4 Mini measured
GPQA Diamond (Artificial Analysis run)78.4%Not measuredOnly o4 Mini measured
Humanity's Last Exam (Artificial Analysis run)16.5%Not measuredOnly o4 Mini measured
GPQA Diamond (Epoch AI run)79.6%Not measuredOnly o4 Mini measured
ARC-AGI58.7%Not measuredOnly o4 Mini measured
ARC-AGI-26.1%Not measuredOnly o4 Mini measured
SimpleBench38.7%Not measuredOnly o4 Mini measured
Chess puzzles22.0%Not measuredOnly o4 Mini measured
Mystery game puzzles5.0%Not measuredOnly o4 Mini measured
VPCT57.5%Not measuredOnly o4 Mini measured
LMArena Text: hard prompts13511442Beam 1.0 501B A23B
LMArena Text: expert13431447Beam 1.0 501B A23B
LMArena Text: hard prompts in English13661451Beam 1.0 501B A23B
LMArena Vision: diagrams1197Not measuredOnly o4 Mini measured
LMArena Vision: homework1234Not measuredOnly o4 Mini measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for o4 Mini and Beam 1.0 501B A23B
Benchmarko4 MiniBeam 1.0 501B A23BLeader
AIME83.7%Not measuredOnly o4 Mini measured
MATH 500 (Vals AI)94.2%Not measuredOnly o4 Mini measured
MGSM (Vals AI)93.4%Not measuredOnly o4 Mini measured
AA Math Index90.7Not measuredOnly o4 Mini measured
AIME 2025 (Artificial Analysis run)90.7%Not measuredOnly o4 Mini measured
OTIS Mock AIME81.7%Not measuredOnly o4 Mini measured
FrontierMath, tiers 1 to 336.1%Not measuredOnly o4 Mini measured
FrontierMath, tier 44.9%Not measuredOnly o4 Mini measured
MATH level 597.8%Not measuredOnly o4 Mini measured
LMArena Text: math13891459Beam 1.0 501B A23B
LMArena Text: mathematical work13791475Beam 1.0 501B A23B
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for o4 Mini and Beam 1.0 501B A23B
Benchmarko4 MiniBeam 1.0 501B A23BLeader
MMLU Pro80.6%Not measuredOnly o4 Mini measured
LegalBench (Vals AI)79.2%Not measuredOnly o4 Mini measured
CorpFin (Vals AI)59.0%Not measuredOnly o4 Mini measured
TaxEval (Vals AI)74.8%Not measuredOnly o4 Mini measured
MortgageTax (Vals AI)64.8%Not measuredOnly o4 Mini measured
MedQA (Vals AI)96.0%Not measuredOnly o4 Mini measured
MedCode (Vals AI)33.8%Not measuredOnly o4 Mini measured
MMLU Pro (Artificial Analysis run)83.2%Not measuredOnly o4 Mini measured
SimpleQA Verified19.6%Not measuredOnly o4 Mini measured
GeoBench64.0%Not measuredOnly o4 Mini measured
LMArena Text: science13541430Beam 1.0 501B A23B
LMArena Text: medicine and healthcare13611376Beam 1.0 501B A23B
LMArena Text: legal and government13501433Beam 1.0 501B A23B
LMArena Text: business and finance13251430Beam 1.0 501B A23B
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for o4 Mini and Beam 1.0 501B A23B
Benchmarko4 MiniBeam 1.0 501B A23BLeader
Design Arena: websites9851253Beam 1.0 501B A23B
Design Arena: UI components983Not measuredOnly o4 Mini measured
Design Arena: game dev10041222Beam 1.0 501B A23B
Design Arena: data viz990Not measuredOnly o4 Mini measured
Design Arena: 3D854Not measuredOnly o4 Mini measured
Design Arena: all code categories977Not measuredOnly o4 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index012
General benchmarks for o4 Mini and Beam 1.0 501B A23B
Benchmarko4 MiniBeam 1.0 501B A23BLeader
SAGE (Vals AI)41.1%Not measuredOnly o4 Mini measured
MedScribe (Vals AI)69.1%Not measuredOnly o4 Mini measured
IFBench68.7%Not measuredOnly o4 Mini measured
Long context reasoning (AA-LCR)61.0%Not measuredOnly o4 Mini measured
DTBench77.6%Not measuredOnly o4 Mini measured
LMCA26.5%Not measuredOnly o4 Mini measured
Fiction.LiveBench77.8%Not measuredOnly o4 Mini measured
Creative writing (Lech Mazur)75.0%Not measuredOnly o4 Mini measured
LMArena Text13531425Beam 1.0 501B A23B
LMArena Text: instruction following13201430Beam 1.0 501B A23B
LMArena Text: creative writing12941390Beam 1.0 501B A23B
LMArena Vision1194Not measuredOnly o4 Mini measured
LMArena Text: English13671436Beam 1.0 501B A23B
LMArena Text: non-English13371413Beam 1.0 501B A23B
LMArena Text: Chinese13541424Beam 1.0 501B A23B
LMArena Text: German1336Not measuredOnly o4 Mini measured
LMArena Text: Japanese1308Not measuredOnly o4 Mini measured
LMArena Text: Korean1312Not measuredOnly o4 Mini measured
LMArena Text: French13641461Beam 1.0 501B A23B
LMArena Text: Spanish1346Not measuredOnly o4 Mini measured
LMArena Text: Russian13341412Beam 1.0 501B A23B
LMArena Text: Polish1358Not measuredOnly o4 Mini measured
LMArena Text: multi-turn13501414Beam 1.0 501B A23B
LMArena Text: longer queries13151429Beam 1.0 501B A23B
LMArena Text: writing and language13161400Beam 1.0 501B A23B
LMArena Text: entertainment and media13081399Beam 1.0 501B A23B
LMArena Vision: English1200Not measuredOnly o4 Mini measured
LMArena Vision: Chinese1218Not measuredOnly o4 Mini measured
LMArena Vision: reading text1197Not measuredOnly o4 Mini measured
LMArena Vision: humor1199Not measuredOnly o4 Mini measured
LMArena Vision: captioning1204Not measuredOnly o4 Mini measured
LMArena Vision: recognizing things1218Not measuredOnly o4 Mini measured
LMArena Vision: creative writing1166Not measuredOnly o4 Mini measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for o4 Mini and Beam 1.0 501B A23B
Benchmarko4 MiniBeam 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

o4 Mini$0.0033Fits in one request
Beam 1.0 501B A23B$0.0008Fits in one request

Beam 1.0 501B A23B costs less

Repository review

50K input + 3K output tokens

o4 Mini$0.068Fits in one request
Beam 1.0 501B A23B$0.018Fits in one request

Beam 1.0 501B A23B costs less

Agent loop

200K input + 10K output tokens

o4 Mini$0.264Exceeds the context window
Beam 1.0 501B A23B$0.070Fits in one request

Beam 1.0 501B A23B 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 o4 Mini and Beam 1.0 501B A23B
SpecificationOpenAI o4 MiniReflection Beam 1.0 501B A23B
MakerOpenAIReflection
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2025October 16, 2026
Context window200K1.05M
Input $/Mtok$1.10$0.30
Output $/Mtok$4.40$1.00
Coding index68.633.8
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is o4 Mini better than Beam 1.0 501B A23B for coding?

Pick o4 Mini for coding: it scores 68.6 on the Vibe Coding Index against 33.8 for Beam 1.0 501B A23B. Pick Beam 1.0 501B A23B when output tokens cost 4.4x less, or when the context window is larger, 1.05M against 200K tokens.

Which is cheaper, o4 Mini or Beam 1.0 501B A23B?

o4 Mini costs $1.10 per million input tokens and $4.40 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, o4 Mini or Beam 1.0 501B A23B?

Beam 1.0 501B A23B, with 1.05M tokens against 200K.

How many benchmarks is the o4 Mini vs Beam 1.0 501B A23B comparison based on?

25 benchmarks have a result for both models as of October 21, 2026. o4 Mini's coding index rests on 2 independent benchmarks 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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