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MiniMax-01 vs Perceptron Mk1

MiniMax-01 costs 1.4x less per output token than Perceptron Mk1 ($1.10 vs $1.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.

MiniMax-01MiniMax
Coding
No data
Overall
No data
Output $/M
$1.10
Perceptron Mk1Perceptron
Coding
No data
Overall
No data
Output $/M
$1.50
vs $1.10 vs $1.50 per 1M output tokens. MiniMax-01 is 1.4x cheaper.

MiniMax-01 or Perceptron Mk1: which to pick

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

Pick MiniMax-01 for output tokens 1.4x cheaper ($1.10 vs $1.50 per million) and a larger context window (1M against 33K tokens).

No benchmark has tested both yet. MiniMax-01 has results on Kagi LLM Benchmark; Perceptron Mk1 has none yet. Compare them on price and context instead.

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-01 not benchmarked, Perceptron Mk1 not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
MiniMax-01 $1.10 against Perceptron Mk1 $1.50 per million output tokens, 1.4x apart.
Context window
MiniMax-01 takes 1M tokens, Perceptron Mk1 33K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Reasoning benchmarks for MiniMax-01 and Perceptron Mk1
BenchmarkMiniMax-01Perceptron Mk1Leader
Kagi LLM Benchmark42.5%Not measuredOnly MiniMax-01 measured
Neither model has a result on the other 21 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-01$0.0008Fits in one request
Perceptron Mk1$0.0009Fits in one request

MiniMax-01 costs less

Repository review

50K input + 3K output tokens

MiniMax-01$0.013Fits in one request
Perceptron Mk1$0.012Exceeds the context window

Perceptron Mk1 costs less

Agent loop

200K input + 10K output tokens

MiniMax-01$0.051Fits in one request
Perceptron Mk1$0.045Exceeds the context window

Perceptron Mk1 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-01 and Perceptron Mk1
SpecificationMiniMax-01Perceptron Mk1
MakerMiniMaxPerceptron
WeightsOpen weightsNo public weights listed
ReleasedJanuary 15, 2025May 12, 2026
Context window1M33K
Input $/Mtok$0.20$0.15
Output $/Mtok$1.10$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax-01 better than Perceptron Mk1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick MiniMax-01 for output tokens 1.4x cheaper ($1.10 vs $1.50 per million) and a larger context window (1M against 33K tokens).

Which is cheaper, MiniMax-01 or Perceptron Mk1?

MiniMax-01 costs $0.20 per million input tokens and $1.10 per million output tokens; Perceptron Mk1 costs $0.15 and $1.50. Cost per solved task is known for neither of them.

Which has the bigger context window, MiniMax-01 or Perceptron Mk1?

MiniMax-01, with 1M tokens against 33K.

Has any benchmark tested both MiniMax-01 and Perceptron Mk1?

No benchmark has tested both yet. MiniMax-01 has results on Kagi LLM Benchmark; Perceptron Mk1 has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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