Agentic
Not comparable- Kanana-2 1.3B Instruct
- Not ranked
- Nemotron 3.5 Lightning 30B A3B NVFP4
- 26.1
- Estimated · #146/152
- Basis
- BenchAlign lane · 0 vs 4 public rows
- Reading
- Not comparable
Kanana-2 1.3B Instruct vs Nemotron 3.5 Lightning 30B A3B NVFP4
Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
NVIDIA
21.01/100
Estimated · Public rank #239
90% interval 11.1–30.9
Decision reading
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Share or export
Which one for your work
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.
Long documents
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
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Kanana-2 1.3B Instruct is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Kanana-2 1.3B Instruct is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
Chat turn cost
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
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Kanana-2 1.3B Instruct does not fit this workload in one request. Kanana-2 1.3B Instruct has no comparable published API token rate. Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate.
Confidence: listed-rates
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Kanana-2 1.3B Instruct does not fit this workload in one request. Kanana-2 1.3B Instruct has no comparable published API token rate. Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate.
Confidence: listed-rates
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 Kanana-2 1.3B Instruct only
1 Shared
12 Nemotron 3.5 Lightning 30B A3B NVFP4 only
- Shared results
- 1
- Kanana-2 1.3B Instruct only
- 2
- Nemotron 3.5 Lightning 30B A3B NVFP4 only
- 12
- Like-for-like categories
- 0 / 8
Category results, on a stated basis
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.
Coding
Not comparable- Kanana-2 1.3B Instruct
- Not ranked
- Nemotron 3.5 Lightning 30B A3B NVFP4
- 30.2
- Estimated · #137/151
- Basis
- BenchAlign lane · 0 vs 4 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Kanana-2 1.3B Instruct
- Not ranked
- Nemotron 3.5 Lightning 30B A3B NVFP4
- 54.8
- Unranked · 1 rankable row
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- Kanana-2 1.3B Instruct
- Not ranked
- Nemotron 3.5 Lightning 30B A3B NVFP4
- 30.2
- Estimated · #176/183
- Basis
- BenchAlign lane · 0 vs 4 public rows
- Reading
- Not comparable
Math
Not comparable- Kanana-2 1.3B Instruct
- Not ranked
- Nemotron 3.5 Lightning 30B A3B NVFP4
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Kanana-2 1.3B Instruct
- Not ranked
- Nemotron 3.5 Lightning 30B A3B NVFP4
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Kanana-2 1.3B Instruct
- Not ranked
- Nemotron 3.5 Lightning 30B A3B NVFP4
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Kanana-2 1.3B Instruct
- Not ranked
- Nemotron 3.5 Lightning 30B A3B NVFP4
- 72.6
- #64/123
- Basis
- Provisional lane · 1 vs 1 weighted rows
- Reading
- Not comparable
| Category | Kanana-2 1.3B Instruct | Nemotron 3.5 Lightning 30B A3B NVFP4 | Basis | Reading |
|---|---|---|---|---|
| Agentic | Not ranked | 26.1Estimated · #146/152 | Not comparableBenchAlign lane · 0 vs 4 public rows | Not comparable |
| Coding | Not ranked | 30.2Estimated · #137/151 | Not comparableBenchAlign lane · 0 vs 4 public rows | Not comparable |
| Reasoning | Not ranked | 54.8Unranked · 1 rankable row | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Knowledge | Not ranked | 30.2Estimated · #176/183 | Not comparableBenchAlign lane · 0 vs 4 public rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 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 |
| Instruction following | Not ranked | 72.6#64/123 | Not comparableProvisional lane · 1 vs 1 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.
Shape of the matched evidence
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.
IFBench
Instruction following
Kanana-2 1.3B Instruct: 34.7%Nemotron 3.5 Lightning 30B A3B NVFP4: 72.9%Normalized gap 38.2Kanana-2 1.3B Instruct source Nemotron 3.5 Lightning 30B A3B NVFP4 source
What each workload costs
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.
Chat turn
1K fresh input + 500 output tokens
- Kanana-2 1.3B Instruct
- Self-hosted; infrastructure cost varies
- Fits in one request
- Nemotron 3.5 Lightning 30B A3B NVFP4
- Self-hosted; infrastructure cost varies
- Fits in one request
Kanana-2 1.3B Instruct has no comparable published API token rate. Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Kanana-2 1.3B Instruct
- Self-hosted; infrastructure cost varies
- Does not fit in one request
- Nemotron 3.5 Lightning 30B A3B NVFP4
- Self-hosted; infrastructure cost varies
- Fits in one request
Kanana-2 1.3B Instruct does not fit this workload in one request. Kanana-2 1.3B Instruct has no comparable published API token rate. Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Kanana-2 1.3B Instruct
- Self-hosted; infrastructure cost varies
- Does not fit in one request
- Cached-input rate unavailable
- Nemotron 3.5 Lightning 30B A3B NVFP4
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
Kanana-2 1.3B Instruct does not fit this workload in one request. Kanana-2 1.3B Instruct has no comparable published API token rate. Nemotron 3.5 Lightning 30B A3B NVFP4 has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationKanana-2 1.3B InstructNemotron 3.5 Lightning 30B A3B NVFP4
Context window
Maximum documented context; output-token limits may be lower.
Kanana-2 1.3B Instruct
Nemotron 3.5 Lightning 30B A3B NVFP4
API model ID
Kanana-2 1.3B Instruct
kakaocorp/kanana-2-1.3b-instruct
Kakao Kanana-2 1.3B Instruct model cardNemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Kanana-2 1.3B Instruct
No comparable hosted API rate
Kakao Kanana-2 1.3B Instruct model cardNemotron 3.5 Lightning 30B A3B NVFP4
No comparable hosted API rate
NVIDIA Nemotron 3.5 Lightning model cardDocumented inputs
Kanana-2 1.3B Instruct
Not sourced
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Documented outputs
Kanana-2 1.3B Instruct
Not sourced
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Provider availability
Kanana-2 1.3B Instruct
Not sourced
Nemotron 3.5 Lightning 30B A3B NVFP4
Not sourced
Reasoning profile
Kanana-2 1.3B Instruct
Non-Reasoning
Nemotron 3.5 Lightning 30B A3B NVFP4
Reasoning
Weight access
Kanana-2 1.3B Instruct
Open Weight
Nemotron 3.5 Lightning 30B A3B NVFP4
Open Weight
License
Kanana-2 1.3B Instruct
Open Weight
Nemotron 3.5 Lightning 30B A3B NVFP4
Open Weight
Release date
Kanana-2 1.3B Instruct
2026-07-24
Nemotron 3.5 Lightning 30B A3B NVFP4
2026-08-11
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Nemotron 3.5 Lightning 30B A3B NVFP4 has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence15 rows
Agentic
Terminal-Bench 2.0
Kanana-2 1.3B Instruct—Nemotron 3.5 Lightning 30B A3B NVFP423.5%SourceNot directly comparable
PinchBench
Kanana-2 1.3B Instruct—Nemotron 3.5 Lightning 30B A3B NVFP483.4%SourceNot directly comparable
BrowseComp
Kanana-2 1.3B Instruct—Nemotron 3.5 Lightning 30B A3B NVFP436.8%SourceNot directly comparable
τ³-bench results
Kanana-2 1.3B Instruct—Nemotron 3.5 Lightning 30B A3B NVFP49.5%SourceNot directly comparable
Coding
SWE-bench Verified
Kanana-2 1.3B Instruct—Nemotron 3.5 Lightning 30B A3B NVFP452.8%SourceNot directly comparable
SWE Multilingual
Kanana-2 1.3B Instruct—Nemotron 3.5 Lightning 30B A3B NVFP436.5%SourceNot directly comparable
Terminal-Bench 2.0
Kanana-2 1.3B Instruct—Nemotron 3.5 Lightning 30B A3B NVFP423.5%SourceNot directly comparable
SciCode
Kanana-2 1.3B Instruct—Nemotron 3.5 Lightning 30B A3B NVFP431.4%SourceNot directly comparable
Knowledge
GPQA
Kanana-2 1.3B Instruct—Nemotron 3.5 Lightning 30B A3B NVFP475.6%SourceNot directly comparable
GPQA-D
Kanana-2 1.3B Instruct—Nemotron 3.5 Lightning 30B A3B NVFP475.6%SourceNot directly comparable
HLE w/o tools
Kanana-2 1.3B Instruct—Nemotron 3.5 Lightning 30B A3B NVFP410.5%SourceNot directly comparable
MMLU-Pro
Kanana-2 1.3B Instruct—Nemotron 3.5 Lightning 30B A3B NVFP481.6%SourceNot directly comparable
Math
MATH-500
Kanana-2 1.3B Instruct61.4%SourceNemotron 3.5 Lightning 30B A3B NVFP4—Not directly comparable
Instruction following
Frequently asked questions
Which is better, Kanana-2 1.3B Instruct or Nemotron 3.5 Lightning 30B A3B NVFP4?
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, Kanana-2 1.3B Instruct or Nemotron 3.5 Lightning 30B A3B NVFP4?
Kanana-2 1.3B Instruct is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Kanana-2 1.3B Instruct or Nemotron 3.5 Lightning 30B A3B NVFP4?
Kanana-2 1.3B Instruct is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Kanana-2 1.3B Instruct or Nemotron 3.5 Lightning 30B A3B NVFP4?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, Kanana-2 1.3B Instruct or Nemotron 3.5 Lightning 30B A3B NVFP4?
Nemotron 3.5 Lightning 30B A3B NVFP4 has the larger documented context window: 1M, compared with 32K.
Related comparisons
Last updated September 10, 2026
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