Morph V3 Large vs Ternary Bonsai 2 27B
Ternary Bonsai 2 27B costs 3.8x less per output token than Morph V3 Large ($0.50 vs $1.90 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.90
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.50
Morph V3 Large or Ternary Bonsai 2 27B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
No benchmark has tested either model yet, so price and context are the only way to compare them.
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
Long documents
Listed context window
No call
Both take 262K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Ternary Bonsai 2 27B
Morph V3 Large $0.0019, Ternary Bonsai 2 27B $0.0003 per turn.
List prices
At a glance
- Coding index
- Morph V3 Large 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
- Morph V3 Large $1.90 against Ternary Bonsai 2 27B $0.50 per million output tokens, 3.8x apart.
- Context window
- Both take 262K tokens.
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.
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 | Morph V3 Large | PrismML Ternary Bonsai 2 27B |
|---|---|---|
| Maker | Morph | Prism-ml |
| Weights | No public weights listed | Open weights |
| Released | July 7, 2025 | September 18, 2026 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.90 | $0.075 |
| Output $/Mtok | $1.90 | $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 Morph V3 Large better than Ternary Bonsai 2 27B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Morph V3 Large or Ternary Bonsai 2 27B?
Morph V3 Large costs $0.90 per million input tokens and $1.90 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, Morph V3 Large or Ternary Bonsai 2 27B?
Neither: both take 262K tokens.
Has any benchmark tested both Morph V3 Large and Ternary Bonsai 2 27B?
No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 22, 2026.