Ternary Bonsai 2 27B vs Hy3
Ternary Bonsai 2 27B and Hy3 cost about the same per output token ($0.50 vs $0.528 per million). Updated October 23, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.50
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.528
Ternary Bonsai 2 27B or Hy3: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Ternary Bonsai 2 27B for output tokens 1.1x cheaper ($0.50 vs $0.528 per million).
No benchmark has tested both yet. Ternary Bonsai 2 27B has none yet; Hy3 on LMArena WebDev, SciCode and ALE-Bench. 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
Web design
Design Arena: websites
No call
Only Hy3 has a Design Arena: websites result, 1230.
Directional only
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
Ternary Bonsai 2 27B $0.0003, Hy3 $0.0004 per turn.
List prices
At a glance
- Coding index
- Ternary Bonsai 2 27B not benchmarked, Hy3 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
- Ternary Bonsai 2 27B $0.50 against Hy3 $0.528 per million output tokens, 1.1x 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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index7 boards measured
| Benchmark | Ternary Bonsai 2 27B | Hy3 | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1506 | Only Hy3 measured |
| SciCode | Not measured | 48.6% | Only Hy3 measured |
| ALE-Bench | Not measured | 838.6 | Only Hy3 measured |
| LMArena Text: coding | Not measured | 1466 | Only Hy3 measured |
| LMArena Text: software and IT | Not measured | 1463 | Only Hy3 measured |
| LMArena WebDev: React | Not measured | 1509 | Only Hy3 measured |
| LMArena WebDev: HTML | Not measured | 1486 | Only Hy3 measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Ternary Bonsai 2 27B | Hy3 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.7% | Only Hy3 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 33.5% | Only Hy3 measured |
| LMArena Text: hard prompts | Not measured | 1448 | Only Hy3 measured |
| LMArena Text: expert | Not measured | 1461 | Only Hy3 measured |
| LMArena Text: hard prompts in English | Not measured | 1454 | Only Hy3 measured |
| Neither model has a result on the other 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Ternary Bonsai 2 27B | Hy3 | Leader |
|---|---|---|---|
| LMArena Text: math | Not measured | 1476 | Only Hy3 measured |
| LMArena Text: mathematical work | Not measured | 1483 | Only Hy3 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 | Ternary Bonsai 2 27B | Hy3 | Leader |
|---|---|---|---|
| LMArena Text: science | Not measured | 1457 | Only Hy3 measured |
| LMArena Text: medicine and healthcare | Not measured | 1449 | Only Hy3 measured |
| LMArena Text: legal and government | Not measured | 1422 | Only Hy3 measured |
| LMArena Text: business and finance | Not measured | 1424 | Only Hy3 measured |
| Neither model has a result on the other 16 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | Ternary Bonsai 2 27B | Hy3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1230 | Only Hy3 measured |
| Design Arena: UI components | Not measured | 1204 | Only Hy3 measured |
| Design Arena: game dev | Not measured | 1208 | Only Hy3 measured |
| Design Arena: data viz | Not measured | 1165 | Only Hy3 measured |
| Design Arena: 3D | Not measured | 1233 | Only Hy3 measured |
| Design Arena: all code categories | Not measured | 1227 | Only Hy3 measured |
| Design Arena: SVG | Not measured | 1201 | Only Hy3 measured |
| Design Arena: ASCII art | Not measured | 1152 | Only Hy3 measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index18 boards measured
| Benchmark | Ternary Bonsai 2 27B | Hy3 | Leader |
|---|---|---|---|
| Long context reasoning (AA-LCR) | Not measured | 79.0% | Only Hy3 measured |
| LMArena Text | Not measured | 1438 | Only Hy3 measured |
| LMArena Text: instruction following | Not measured | 1427 | Only Hy3 measured |
| LMArena Text: creative writing | Not measured | 1405 | Only Hy3 measured |
| LMArena Text: English | Not measured | 1447 | Only Hy3 measured |
| LMArena Text: non-English | Not measured | 1427 | Only Hy3 measured |
| LMArena Text: Chinese | Not measured | 1483 | Only Hy3 measured |
| LMArena Text: German | Not measured | 1444 | Only Hy3 measured |
| LMArena Text: Japanese | Not measured | 1393 | Only Hy3 measured |
| LMArena Text: Korean | Not measured | 1396 | Only Hy3 measured |
| LMArena Text: French | Not measured | 1450 | Only Hy3 measured |
| LMArena Text: Spanish | Not measured | 1456 | Only Hy3 measured |
| LMArena Text: Russian | Not measured | 1436 | Only Hy3 measured |
| LMArena Text: Polish | Not measured | 1446 | Only Hy3 measured |
| LMArena Text: multi-turn | Not measured | 1437 | Only Hy3 measured |
| LMArena Text: longer queries | Not measured | 1442 | Only Hy3 measured |
| LMArena Text: writing and language | Not measured | 1415 | Only Hy3 measured |
| LMArena Text: entertainment and media | Not measured | 1401 | Only Hy3 measured |
| Neither model has a result on the other 30 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 | PrismML Ternary Bonsai 2 27B | Tencent Hy3 |
|---|---|---|
| Maker | Prism-ml | Tencent |
| Weights | Open weights | Open weights |
| Released | September 18, 2026 | July 6, 2026 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.075 | $0.132 |
| Output $/Mtok | $0.50 | $0.528 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Ternary Bonsai 2 27B better than Hy3 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Ternary Bonsai 2 27B for output tokens 1.1x cheaper ($0.50 vs $0.528 per million).
Which is cheaper, Ternary Bonsai 2 27B or Hy3?
Ternary Bonsai 2 27B costs $0.075 per million input tokens and $0.50 per million output tokens; Hy3 costs $0.132 and $0.528. Cost per solved task is known for neither of them.
Which has the bigger context window, Ternary Bonsai 2 27B or Hy3?
Neither: both take 262K tokens.
Has any benchmark tested both Ternary Bonsai 2 27B and Hy3?
No benchmark has tested both yet. Ternary Bonsai 2 27B has none yet; Hy3 on LMArena WebDev, SciCode and ALE-Bench. Compare them on price and context instead. Data as of October 23, 2026.