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MiniMax-01 vs Ternary Bonsai 2 27B

Ternary Bonsai 2 27B costs 2.2x less per output token than MiniMax-01 ($0.50 vs $1.10 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
P Ternary Bonsai 2 27BPrism-ml
Coding
No data
Overall
No data
Output $/M
$0.50
vs $1.10 vs $0.50 per 1M output tokens. Ternary Bonsai 2 27B is 2.2x cheaper.

MiniMax-01 or Ternary Bonsai 2 27B: which to pick

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

Pick MiniMax-01 for a larger context window (1M against 262K tokens).

No benchmark has tested both yet. MiniMax-01 has results on Kagi LLM Benchmark; Ternary Bonsai 2 27B 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, Ternary Bonsai 2 27B 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 Ternary Bonsai 2 27B $0.50 per million output tokens, 2.2x apart.
Context window
MiniMax-01 takes 1M tokens, Ternary Bonsai 2 27B 262K.

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 Ternary Bonsai 2 27B
BenchmarkMiniMax-01Ternary Bonsai 2 27BLeader
Kagi LLM Benchmark42.5%Not measuredOnly MiniMax-01 measured
Neither model has a result on the other 22 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
Ternary Bonsai 2 27B$0.0003Fits in one request

Ternary Bonsai 2 27B costs less

Repository review

50K input + 3K output tokens

MiniMax-01$0.013Fits in one request
Ternary Bonsai 2 27B$0.0053Fits in one request

Ternary Bonsai 2 27B costs less

Agent loop

200K input + 10K output tokens

MiniMax-01$0.051Fits in one request
Ternary Bonsai 2 27B$0.020Fits in one request

Ternary Bonsai 2 27B 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 Ternary Bonsai 2 27B
SpecificationMiniMax-01PrismML Ternary Bonsai 2 27B
MakerMiniMaxPrism-ml
WeightsOpen weightsOpen weights
ReleasedJanuary 15, 2025September 18, 2026
Context window1M262K
Input $/Mtok$0.20$0.075
Output $/Mtok$1.10$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax-01 better than Ternary Bonsai 2 27B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick MiniMax-01 for a larger context window (1M against 262K tokens).

Which is cheaper, MiniMax-01 or Ternary Bonsai 2 27B?

MiniMax-01 costs $0.20 per million input tokens and $1.10 per million output tokens; Ternary Bonsai 2 27B costs $0.075 and $0.50. Cost per solved task is known for neither of them.

Which has the bigger context window, MiniMax-01 or Ternary Bonsai 2 27B?

MiniMax-01, with 1M tokens against 262K.

Has any benchmark tested both MiniMax-01 and Ternary Bonsai 2 27B?

No benchmark has tested both yet. MiniMax-01 has results on Kagi LLM Benchmark; Ternary Bonsai 2 27B has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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