Nemotron 3.5 Super VL vs Ternary Bonsai 2 27B
Nemotron 3.5 Super VL and Ternary Bonsai 2 27B cost about the same per output token ($0.50 vs $0.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- 35.6
- Output $/M
- $0.50
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.50
Nemotron 3.5 Super VL or Ternary Bonsai 2 27B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Nemotron 3.5 Super VL for a larger context window (1.05M against 262K tokens).
No benchmark has tested both yet. Nemotron 3.5 Super VL has results on LiveBench coding, SciCode 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 Nemotron 3.5 Super VL has a AA Intelligence Index result, 26.5.
Directional only
Web design
Design Arena: websites
No call
Only Nemotron 3.5 Super VL has a Design Arena: websites result, 1173.
Directional only
Long documents
Listed context window
Nemotron 3.5 Super VL
Nemotron 3.5 Super VL takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Ternary Bonsai 2 27B
Nemotron 3.5 Super VL $0.0004, Ternary Bonsai 2 27B $0.0003 per turn.
List prices
At a glance
- Coding index
- Nemotron 3.5 Super VL 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
- Both cost $0.50 per million output tokens.
- Context window
- Nemotron 3.5 Super VL takes 1.05M 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 | Nemotron 3.5 Super VL | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| LiveBench coding | 65.5% | Not measured | Only Nemotron 3.5 Super VL measured |
| SciCode | 47.8% | Not measured | Only Nemotron 3.5 Super VL 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 | Nemotron 3.5 Super VL | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 26.5 | Not measured | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Nemotron 3.5 Super VL | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| LiveBench research | 70.9% | Not measured | Only Nemotron 3.5 Super VL measured |
| LiveBench browser | 4.0% | Not measured | Only Nemotron 3.5 Super VL measured |
| LiveBench long agentic | 15.8% | Not measured | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Nemotron 3.5 Super VL | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| LiveBench reasoning | 78.8% | Not measured | Only Nemotron 3.5 Super VL measured |
| Humanity's Last Exam (Artificial Analysis run) | 30.7% | Not measured | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 21 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
| Benchmark | Nemotron 3.5 Super VL | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1173 | Not measured | Only Nemotron 3.5 Super VL measured |
| Design Arena: UI components | 1149 | Not measured | Only Nemotron 3.5 Super VL measured |
| Design Arena: game dev | 1110 | Not measured | Only Nemotron 3.5 Super VL measured |
| Design Arena: 3D | 1128 | Not measured | Only Nemotron 3.5 Super VL measured |
| Design Arena: all code categories | 1154 | Not measured | Only Nemotron 3.5 Super VL measured |
| LiveBench design | 60.7% | Not measured | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 3 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Nemotron 3.5 Super VL | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| LiveBench data analysis | 64.6% | Not measured | Only Nemotron 3.5 Super VL measured |
| Long context reasoning (AA-LCR) | 69.0% | Not measured | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 46 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 | NVIDIA Nemotron 3.5 Super VL | PrismML Ternary Bonsai 2 27B |
|---|---|---|
| Maker | NVIDIA | Prism-ml |
| Weights | Open weights | Open weights |
| Released | October 15, 2026 | September 18, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.15 | $0.075 |
| Output $/Mtok | $0.50 | $0.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nemotron 3.5 Super VL better than Ternary Bonsai 2 27B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nemotron 3.5 Super VL for a larger context window (1.05M against 262K tokens).
Which is cheaper, Nemotron 3.5 Super VL or Ternary Bonsai 2 27B?
Nemotron 3.5 Super VL costs $0.15 per million input tokens and $0.50 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, Nemotron 3.5 Super VL or Ternary Bonsai 2 27B?
Nemotron 3.5 Super VL, with 1.05M tokens against 262K.
Has any benchmark tested both Nemotron 3.5 Super VL and Ternary Bonsai 2 27B?
No benchmark has tested both yet. Nemotron 3.5 Super VL has results on LiveBench coding, SciCode and AA Intelligence Index; Ternary Bonsai 2 27B has none yet. Compare them on price and context instead. Data as of October 22, 2026.