Nemotron 3.5 Super VL 120B A12B vs Nemotron 3.5 Lightning 30B A3B
Too close to call on our weighted score (Nemotron 3.5 Super VL 120B A12B 71, Nemotron 3.5 Lightning 30B A3B 68). The right pick depends on what you value most.
NVIDIANemotron 3.5 Super VL 120B A12B
71/100- ECI—
- Price$0.15 / $0.50
- Context1.05M
- NVIDIA
Nemotron 3.5 Lightning 30B A3B
68/100- ECI—
- Price$0.055 / $0.20
- Context262K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 3 points (Nemotron 3.5 Super VL 120B A12B 71/100, Nemotron 3.5 Lightning 30B A3B 68/100), so choose by what matters most for your work: Nemotron 3.5 Lightning 30B A3B on price and Nemotron 3.5 Super VL 120B A12B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceNemotron 3.5 Lightning 30B A3BNemotron 3.5 Lightning 30B A3B $0.091 · Nemotron 3.5 Super VL 120B A12B $0.237 per 1M tokens (3:1 blend)
- Longest contextNemotron 3.5 Super VL 120B A12BNemotron 3.5 Super VL 120B A12B 1,048,576 · Nemotron 3.5 Lightning 30B A3B 262,144 tokens
- Widest inputsNemotron 3.5 Super VL 120B A12BNemotron 3.5 Super VL 120B A12B: Text, Images, Video · Nemotron 3.5 Lightning 30B A3B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron 3.5 Super VL 120B A12B | Nemotron 3.5 Lightning 30B A3B |
|---|---|---|---|
| Price | 50% | 76 | 95 |
| Inputs & features | 30% | 70 | 45 |
| Context window | 20% | 61 | 37 |
| Overall | 100% | 71/100 | 68/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Nemotron 3.5 Super VL 120B A12BNVIDIA | Nemotron 3.5 Lightning 30B A3BNVIDIA |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.15 | $0.055 (best) |
| Output | $0.50 | $0.20 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.237 | $0.091 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 11 providers | Median of 10 providers |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 262,144 tokens |
| Max output | 8,192 tokens | 262,144 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Open |
| API model ID | nvidia/nemotron-3.5-super-vl-120b-a12b | nvidia/nemotron-3.5-lightning-30b-a3b |
| API providers | 13 | 15 (best) |
| Released | Oct 15, 2026 | Aug 11, 2026 |
| Knowledge cutoff | — | Sep 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Nemotron 3.5 Super VL 120B A12B$2.50
- Nemotron 3.5 Lightning 30B A3B$0.95
Which should you choose?
Which is better: Nemotron 3.5 Super VL 120B A12B or Nemotron 3.5 Lightning 30B A3B?
It is close. Our weighted score puts them within 3 points (Nemotron 3.5 Super VL 120B A12B 71/100, Nemotron 3.5 Lightning 30B A3B 68/100), so choose by what matters most for your work: Nemotron 3.5 Lightning 30B A3B on price and Nemotron 3.5 Super VL 120B A12B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Nemotron 3.5 Super VL 120B A12B or Nemotron 3.5 Lightning 30B A3B?
Nemotron 3.5 Lightning 30B A3B is cheaper at $0.055 input / $0.20 output per million tokens (median across 10 API providers; free on Nvidia). Nemotron 3.5 Super VL 120B A12B costs $0.15 input / $0.50 output per million tokens (median across 11 API providers; free on Nvidia). At a typical mix of three input tokens to one output token, that is $0.091 per million tokens for Nemotron 3.5 Lightning 30B A3B versus $0.237 for Nemotron 3.5 Super VL 120B A12B (2.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Nemotron 3.5 Super VL 120B A12B has not been scored yet and Nemotron 3.5 Lightning 30B A3B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron 3.5 Super VL 120B A12B and Nemotron 3.5 Lightning 30B A3B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Nemotron 3.5 Super VL 120B A12B has the largest context window at 1,048,576 tokens, against 262,144 for Nemotron 3.5 Lightning 30B A3B. Maximum output per response: Nemotron 3.5 Super VL 120B A12B up to 8,192, Nemotron 3.5 Lightning 30B A3B up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Nemotron 3.5 Super VL 120B A12B accepts text, images and video; Nemotron 3.5 Lightning 30B A3B accepts text. Nemotron 3.5 Super VL 120B A12B handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Nemotron 3.5 Super VL 120B A12B is the newest, released Oct 15, 2026. Nemotron 3.5 Lightning 30B A3B came out Aug 11, 2026. Knowledge cutoff: Nemotron 3.5 Lightning 30B A3B Sep 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
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