MiniMax M1 vs Ternary Bonsai 2 27B
Ternary Bonsai 2 27B costs 4.4x less per output token than MiniMax M1 ($0.50 vs $2.20 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $2.20
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.50
MiniMax M1 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 M1 for a larger context window (1M against 262K tokens).
No benchmark has tested both yet. MiniMax M1 has results on LMArena Text: coding, LMArena Text: software and IT and AA Intelligence Index; 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only MiniMax M1 has a AA Intelligence Index result, 11.7.
Directional only
Long documents
Listed context window
MiniMax M1
MiniMax M1 takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Ternary Bonsai 2 27B
MiniMax M1 $0.0015, Ternary Bonsai 2 27B $0.0003 per turn.
List prices
At a glance
- Coding index
- MiniMax M1 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 M1 $2.20 against Ternary Bonsai 2 27B $0.50 per million output tokens, 4.4x apart.
- Context window
- MiniMax M1 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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards measured
| Benchmark | MiniMax M1 | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| LMArena Text: coding | 1359 | Not measured | Only MiniMax M1 measured |
| LMArena Text: software and IT | 1359 | Not measured | Only MiniMax M1 measured |
| Neither model has a result on the other 41 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | MiniMax M1 | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 11.7 | Not measured | Only MiniMax M1 measured |
| Neither model has a result on the other 1 board here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | MiniMax M1 | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| LMArena Text: hard prompts | 1339 | Not measured | Only MiniMax M1 measured |
| LMArena Text: expert | 1317 | Not measured | Only MiniMax M1 measured |
| LMArena Text: hard prompts in English | 1353 | Not measured | Only MiniMax M1 measured |
| Neither model has a result on the other 20 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | MiniMax M1 | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| LMArena Text: math | 1361 | Not measured | Only MiniMax M1 measured |
| LMArena Text: mathematical work | 1363 | Not measured | Only MiniMax M1 measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | MiniMax M1 | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| LMArena Text: science | 1354 | Not measured | Only MiniMax M1 measured |
| LMArena Text: medicine and healthcare | 1355 | Not measured | Only MiniMax M1 measured |
| LMArena Text: legal and government | 1337 | Not measured | Only MiniMax M1 measured |
| LMArena Text: business and finance | 1319 | Not measured | Only MiniMax M1 measured |
| Neither model has a result on the other 16 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index17 boards measured
| Benchmark | MiniMax M1 | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| LMArena Text | 1343 | Not measured | Only MiniMax M1 measured |
| LMArena Text: instruction following | 1312 | Not measured | Only MiniMax M1 measured |
| LMArena Text: creative writing | 1297 | Not measured | Only MiniMax M1 measured |
| LMArena Text: English | 1363 | Not measured | Only MiniMax M1 measured |
| LMArena Text: non-English | 1319 | Not measured | Only MiniMax M1 measured |
| LMArena Text: Chinese | 1360 | Not measured | Only MiniMax M1 measured |
| LMArena Text: German | 1350 | Not measured | Only MiniMax M1 measured |
| LMArena Text: Japanese | 1217 | Not measured | Only MiniMax M1 measured |
| LMArena Text: Korean | 1266 | Not measured | Only MiniMax M1 measured |
| LMArena Text: French | 1370 | Not measured | Only MiniMax M1 measured |
| LMArena Text: Spanish | 1353 | Not measured | Only MiniMax M1 measured |
| LMArena Text: Russian | 1329 | Not measured | Only MiniMax M1 measured |
| LMArena Text: Polish | 1329 | Not measured | Only MiniMax M1 measured |
| LMArena Text: multi-turn | 1335 | Not measured | Only MiniMax M1 measured |
| LMArena Text: longer queries | 1326 | Not measured | Only MiniMax M1 measured |
| LMArena Text: writing and language | 1311 | Not measured | Only MiniMax M1 measured |
| LMArena Text: entertainment and media | 1303 | Not measured | Only MiniMax M1 measured |
| Neither model has a result on the other 31 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
Ternary Bonsai 2 27B costs less
Repository review
50K input + 3K output tokens
Ternary Bonsai 2 27B costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | MiniMax M1 | PrismML Ternary Bonsai 2 27B |
|---|---|---|
| Maker | MiniMax | Prism-ml |
| Weights | No public weights listed | Open weights |
| Released | June 17, 2025 | September 18, 2026 |
| Context window | 1M | 262K |
| Input $/Mtok | $0.40 | $0.075 |
| Output $/Mtok | $2.20 | $0.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is MiniMax M1 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 M1 for a larger context window (1M against 262K tokens).
Which is cheaper, MiniMax M1 or Ternary Bonsai 2 27B?
MiniMax M1 costs $0.40 per million input tokens and $2.20 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 M1 or Ternary Bonsai 2 27B?
MiniMax M1, with 1M tokens against 262K.
Has any benchmark tested both MiniMax M1 and Ternary Bonsai 2 27B?
No benchmark has tested both yet. MiniMax M1 has results on LMArena Text: coding, LMArena Text: software and IT and AA Intelligence Index; Ternary Bonsai 2 27B has none yet. Compare them on price and context instead. Data as of October 22, 2026.