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MiniMax-01 vs o1-pro

MiniMax-01 costs 545.5x less per output token than o1-pro ($1.10 vs $600.00 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
o1-proOpenAI
Coding
No data
Overall
No data
Output $/M
$600.00
vs $1.10 vs $600.00 per 1M output tokens. MiniMax-01 is 545.5x cheaper.

MiniMax-01 or o1-pro: which to pick

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

Pick MiniMax-01 for output tokens 545.5x cheaper ($1.10 vs $600.00 per million) and a larger context window (1M against 200K tokens).

No benchmark has tested both yet. MiniMax-01 has results on Kagi LLM Benchmark; o1-pro on AA Intelligence Index and ARC-AGI. 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, o1-pro 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 o1-pro $600.00 per million output tokens, 545.5x apart.
Context window
MiniMax-01 takes 1M tokens, o1-pro 200K.

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.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for MiniMax-01 and o1-pro
BenchmarkMiniMax-01o1-proLeader
AA Intelligence IndexNot measured12.4Only o1-pro measured
Neither model has a result on the other 1 board here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for MiniMax-01 and o1-pro
BenchmarkMiniMax-01o1-proLeader
ARC-AGINot measured23.3%Only o1-pro measured
Kagi LLM Benchmark42.5%Not measuredOnly MiniMax-01 measured
Neither model has a result on the other 20 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
o1-pro$0.450Fits in one request

MiniMax-01 costs less

Repository review

50K input + 3K output tokens

MiniMax-01$0.013Fits in one request
o1-pro$9.30Fits in one request

MiniMax-01 costs less

Agent loop

200K input + 10K output tokens

MiniMax-01$0.051Fits in one request
o1-pro$36.00Exceeds the context window

MiniMax-01 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 o1-pro
SpecificationMiniMax-01OpenAI o1-pro
MakerMiniMaxOpenAI
WeightsOpen weightsNo public weights listed
ReleasedJanuary 15, 2025March 19, 2025
Context window1M200K
Input $/Mtok$0.20$150.00
Output $/Mtok$1.10$600.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax-01 better than o1-pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick MiniMax-01 for output tokens 545.5x cheaper ($1.10 vs $600.00 per million) and a larger context window (1M against 200K tokens).

Which is cheaper, MiniMax-01 or o1-pro?

MiniMax-01 costs $0.20 per million input tokens and $1.10 per million output tokens; o1-pro costs $150.00 and $600.00. Cost per solved task is known for neither of them.

Which has the bigger context window, MiniMax-01 or o1-pro?

MiniMax-01, with 1M tokens against 200K.

Has any benchmark tested both MiniMax-01 and o1-pro?

No benchmark has tested both yet. MiniMax-01 has results on Kagi LLM Benchmark; o1-pro on AA Intelligence Index and ARC-AGI. Compare them on price and context instead. Data as of October 22, 2026.

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