Instruction following
Like-for-like- Nemotron 3.5 Lightning 30B A3B NVFP4
- 68.5
- #67/124
- Ternary Bonsai 2 27B
- 71.0
- #64/124
- Basis
- Provisional lane · 1 vs 1 weighted rows
- Reading
- Ternary Bonsai 2 27B leads
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Follow model changesDecision reading
Ternary Bonsai 2 27B has the higher public score, 50.78 versus 20.46, and the 90% score intervals do not overlap.
4 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
NVIDIA
20.46/100
Estimated · Public rank #239
90% interval 10.6–30.3
Updated September 18, 2026. Rank says Ternary Bonsai 2 27B is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.
Both of these models will change. Get the price, version and retirement notices for the pair, each with its source. Follow model changes
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Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Prompts that approach the documented context limit
Nemotron 3.5 Lightning 30B A3B NVFP4
Nemotron 3.5 Lightning 30B A3B NVFP4 has the larger documented context window.
Confidence: documented
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Nemotron 3.5 Lightning 30B A3B NVFP4 and Ternary Bonsai 2 27B are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limited
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Nemotron 3.5 Lightning 30B A3B NVFP4 and Ternary Bonsai 2 27B are scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
Confidence: limited
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
| Category | Nemotron 3.5 Lightning 30B A3B NVFP4 | Ternary Bonsai 2 27B | Basis | Reading |
|---|---|---|---|---|
| Instruction following | 68.5#67/124 | 71.0#64/124 | Like-for-likeProvisional lane · 1 vs 1 weighted rows | Ternary Bonsai 2 27B leads |
| Agentic | 25.7Estimated · #150/154 | 49.9Estimated · #59/154 | Directional onlyBenchAlign lane · 4 vs 3 public rows | Directional only |
| Coding | 30.1Estimated · #143/154 | 49.9Estimated · #64/154 | Directional onlyBenchAlign lane · 4 vs 4 public rows | Directional only |
| Knowledge | 30.0Estimated · #179/184 | 50.6Estimated · #78/184 | Directional onlyBenchAlign lane · 4 vs 3 public rows | Directional only |
| Reasoning | 54.8Unranked · 1 rankable row | 73.9Unranked · 1 rankable row | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | 76.8Unranked · 4 rankable rows | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
GPQA
Knowledge
SWE-bench Verified
Coding
IFBench
Instruction following
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
1K fresh input + 500 output tokens
Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate. Ternary Bonsai 2 27B has no comparable published API token rate.
50K fresh input + 3K output tokens
Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate. Ternary Bonsai 2 27B has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate. Ternary Bonsai 2 27B has no comparable published API token rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Nemotron 3.5 Lightning 30B A3B NVFP4
Ternary Bonsai 2 27B
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Ternary Bonsai 2 27B
prism-ml/Ternary-Bonsai-2-27B-gguf
PrismML Bonsai 2 collectionA missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Nemotron 3.5 Lightning 30B A3B NVFP4
No comparable hosted API rate
NVIDIA Nemotron 3.5 Lightning model cardTernary Bonsai 2 27B
No comparable hosted API rate
PrismML Bonsai 2 collectionNemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Ternary Bonsai 2 27B
Not sourced
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Ternary Bonsai 2 27B
Not sourced
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Ternary Bonsai 2 27B
Not sourced
Nemotron 3.5 Lightning 30B A3B NVFP4
Reasoning
Ternary Bonsai 2 27B
Reasoning
Nemotron 3.5 Lightning 30B A3B NVFP4
Open Weight
Ternary Bonsai 2 27B
Open Weight
Nemotron 3.5 Lightning 30B A3B NVFP4
Open Weight
Ternary Bonsai 2 27B
Open Weight
Nemotron 3.5 Lightning 30B A3B NVFP4
2026-08-11
Ternary Bonsai 2 27B
2026-09-17
Run the same representative tasks against both endpoints before changing production traffic.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.0
Not directly comparable
PinchBench
Not directly comparable
BrowseComp
Not directly comparable
τ³-bench results
Not directly comparable
τ²-bench results
Not directly comparable
BFCL v3
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
SWE-bench Verified
Ternary Bonsai 2 27B leads this result
SWE Multilingual
Not directly comparable
Terminal-Bench 2.0
Not directly comparable
SciCode
Not directly comparable
LiveCodeBench v6
Not directly comparable
BigCodeBench
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
GPQA
Ternary Bonsai 2 27B leads this result
GPQA-D
Ternary Bonsai 2 27B leads this result
HLE w/o tools
Not directly comparable
MMLU-Pro
Not directly comparable
MMLU-Redux
Not directly comparable
GSM8K
Not directly comparable
MATH-500
Not directly comparable
AIME 2025
Not directly comparable
AIME26
Not directly comparable
CharXiv (overall)
Not directly comparable
A-OKVQA
Not directly comparable
OmniDocBench 1.6
Not directly comparable
RealWorldQA
Not directly comparable
OCRBench V2
Not directly comparable
Ternary Bonsai 2 27B has the higher public score, 50.78 versus 20.46, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.
Ternary Bonsai 2 27B scores higher for coding on the public lane, 49.9 to 30.1. Nemotron 3.5 Lightning 30B A3B NVFP4 and Ternary Bonsai 2 27B are scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Ternary Bonsai 2 27B scores higher for agentic tasks on the public lane, 49.9 to 25.7. Nemotron 3.5 Lightning 30B A3B NVFP4 and Ternary Bonsai 2 27B are scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Nemotron 3.5 Lightning 30B A3B NVFP4 has the larger documented context window: 1M, compared with 262K.
Last updated September 18, 2026
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