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MiniMax M1 vs Beam 1.0 501B A23B

Beam 1.0 501B A23B costs 1.8x less per output token than MiniMax M1 ($1.20 vs $2.20 per million). Updated October 22, 2026; 23 benchmarks have a result for both.

MiniMax M1MiniMax
Coding
No data
Overall
No data
Output $/M
$2.20
0
R Beam 1.0 501B A23BReflection
Coding
No data
Overall
No data
Output $/M
$1.20
23
vs boards won of 23 shared

MiniMax M1 or Beam 1.0 501B A23B: which to pick

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

Pick MiniMax M1 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
23
MiniMax M1 only
6
Beam 1.0 501B A23B only
5
Like-for-like categories
5 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
MiniMax M1 not benchmarked, Beam 1.0 501B A23B not benchmarked.
Widest category
Reasoning, 18.3 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: expert: MiniMax M1 1317 against Beam 1.0 501B A23B 1447, 21.6 points apart on a 0 to 100 scale.
Output price
MiniMax M1 $2.20 against Beam 1.0 501B A23B $1.20 per million output tokens, 1.8x apart.
Context window
MiniMax M1 takes 1M 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
CategoryMiniMax M1BarsBeam 1.0 501B A23BTies
Coding02
Reasoning03
Math02
Knowledge04
General012
All shared boards023
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for MiniMax M1 and Beam 1.0 501B A23B
BenchmarkMiniMax M1Beam 1.0 501B A23BLeader
LMArena WebDevNot measured1437Only Beam 1.0 501B A23B measured
LMArena Text: coding13591473Beam 1.0 501B A23B
LMArena Text: software and IT13591461Beam 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 38 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for MiniMax M1 and Beam 1.0 501B A23B
BenchmarkMiniMax M1Beam 1.0 501B A23BLeader
AA Intelligence Index11.7Not measuredOnly MiniMax M1 measured
Neither model has a result on the other 1 board here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for MiniMax M1 and Beam 1.0 501B A23B
BenchmarkMiniMax M1Beam 1.0 501B A23BLeader
Neither model has a result on 42 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for MiniMax M1 and Beam 1.0 501B A23B
BenchmarkMiniMax M1Beam 1.0 501B A23BLeader
LMArena Text: hard prompts13391442Beam 1.0 501B A23B
LMArena Text: expert13171447Beam 1.0 501B A23B
LMArena Text: hard prompts in English13531451Beam 1.0 501B A23B
Neither model has a result on the other 20 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for MiniMax M1 and Beam 1.0 501B A23B
BenchmarkMiniMax M1Beam 1.0 501B A23BLeader
LMArena Text: math13611459Beam 1.0 501B A23B
LMArena Text: mathematical work13631475Beam 1.0 501B A23B
Neither model has a result on the other 12 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for MiniMax M1 and Beam 1.0 501B A23B
BenchmarkMiniMax M1Beam 1.0 501B A23BLeader
LMArena Text: science13541430Beam 1.0 501B A23B
LMArena Text: medicine and healthcare13551376Beam 1.0 501B A23B
LMArena Text: legal and government13371433Beam 1.0 501B A23B
LMArena Text: business and finance13191430Beam 1.0 501B A23B
Neither model has a result on the other 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Web design benchmarks for MiniMax M1 and Beam 1.0 501B A23B
BenchmarkMiniMax M1Beam 1.0 501B A23BLeader
Design Arena: websitesNot measured1245Only Beam 1.0 501B A23B measured
Design Arena: game devNot measured1220Only Beam 1.0 501B A23B measured
Neither model has a result on the other 7 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index012
General benchmarks for MiniMax M1 and Beam 1.0 501B A23B
BenchmarkMiniMax M1Beam 1.0 501B A23BLeader
LMArena Text13431425Beam 1.0 501B A23B
LMArena Text: instruction following13121430Beam 1.0 501B A23B
LMArena Text: creative writing12971390Beam 1.0 501B A23B
LMArena Text: English13631436Beam 1.0 501B A23B
LMArena Text: non-English13191413Beam 1.0 501B A23B
LMArena Text: Chinese13601424Beam 1.0 501B A23B
LMArena Text: German1350Not measuredOnly MiniMax M1 measured
LMArena Text: Japanese1217Not measuredOnly MiniMax M1 measured
LMArena Text: Korean1266Not measuredOnly MiniMax M1 measured
LMArena Text: French13701461Beam 1.0 501B A23B
LMArena Text: Spanish1353Not measuredOnly MiniMax M1 measured
LMArena Text: Russian13291412Beam 1.0 501B A23B
LMArena Text: Polish1329Not measuredOnly MiniMax M1 measured
LMArena Text: multi-turn13351414Beam 1.0 501B A23B
LMArena Text: longer queries13261429Beam 1.0 501B A23B
LMArena Text: writing and language13111400Beam 1.0 501B A23B
LMArena Text: entertainment and media13031399Beam 1.0 501B A23B
Neither model has a result on the other 31 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for MiniMax M1 and Beam 1.0 501B A23B
BenchmarkMiniMax M1Beam 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

MiniMax M1$0.0015Fits in one request
Beam 1.0 501B A23B$0.0010Fits in one request

Beam 1.0 501B A23B costs less

Repository review

50K input + 3K output tokens

MiniMax M1$0.027Fits in one request
Beam 1.0 501B A23B$0.024Fits in one request

Beam 1.0 501B A23B costs less

Agent loop

200K input + 10K output tokens

MiniMax M1$0.102Fits in one request
Beam 1.0 501B A23B$0.092Fits 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 MiniMax M1 and Beam 1.0 501B A23B
SpecificationMiniMax M1Reflection Beam 1.0 501B A23B
MakerMiniMaxReflection
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025October 16, 2026
Context window1M1.05M
Input $/Mtok$0.40$0.40
Output $/Mtok$2.20$1.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M1 better than Beam 1.0 501B A23B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick MiniMax M1 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, MiniMax M1 or Beam 1.0 501B A23B?

MiniMax M1 costs $0.40 per million input tokens and $2.20 per million output tokens; Beam 1.0 501B A23B costs $0.40 and $1.20. Cost per solved task is known for neither of them.

Which has the bigger context window, MiniMax M1 or Beam 1.0 501B A23B?

Beam 1.0 501B A23B, with 1.05M tokens against 1M.

How many benchmarks is the MiniMax M1 vs Beam 1.0 501B A23B comparison based on?

23 benchmarks have a result for both models as of October 22, 2026. MiniMax M1's coding index rests on 0 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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