Nemotron Nano 12B v2 VL vs Nemotron Nano 9B v2
Too close to call on our weighted score (Nemotron Nano 9B v2 64, Nemotron Nano 12B v2 VL 63). The right pick depends on what you value most.
NVIDIA
Nemotron Nano 12B v2 VL
63/100- ECI—
- Price$0.20 / $0.60
- Context128K
NVIDIA
Nemotron Nano 9B v2
64/100- ECI—
- Price$0.06 / $0.23
- Context131K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (Nemotron Nano 9B v2 64/100, Nemotron Nano 12B v2 VL 63/100), so choose by what matters most for your work: Nemotron Nano 9B v2 on price and Nemotron Nano 9B v2 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 Nano 9B v2Nemotron Nano 9B v2 $0.102 · Nemotron Nano 12B v2 VL $0.30 per 1M tokens (3:1 blend)
- Longest contextNemotron Nano 9B v2Nemotron Nano 9B v2 131,072 · Nemotron Nano 12B v2 VL 128,000 tokens
- Widest inputsNemotron Nano 12B v2 VLNemotron Nano 12B v2 VL: Text, Images, Video · Nemotron Nano 9B v2: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron Nano 12B v2 VL | Nemotron Nano 9B v2 |
|---|---|---|---|
| Price | 50% | 75 | 97 |
| Inputs & features | 30% | 70 | 35 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 63/100 | 64/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.20 | $0.06 (best) |
| Output | $0.60 | $0.23 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.30 | $0.102 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 3 providers |
| Limits | ||
| Context window | 128,000 tokens | 131,072 tokens (best) |
| Max output | 128,000 tokens | 131,072 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 | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | nvidia/nemotron-nano-12b-v2-vl | nvidia/nvidia-nemotron-nano-9b-v2 |
| API providers | 4 | 4 |
| Released | Oct 28, 2025 | Aug 18, 2025 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Nemotron Nano 12B v2 VL$3.20
Nemotron Nano 9B v2$1.06
Which should you choose?
Which is better: Nemotron Nano 12B v2 VL or Nemotron Nano 9B v2?
It is close. Our weighted score puts them within a point (Nemotron Nano 9B v2 64/100, Nemotron Nano 12B v2 VL 63/100), so choose by what matters most for your work: Nemotron Nano 9B v2 on price and Nemotron Nano 9B v2 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 Nano 12B v2 VL or Nemotron Nano 9B v2?
Nemotron Nano 9B v2 is cheaper at $0.06 input / $0.23 output per million tokens (median across 3 API providers; free on Nvidia). Nemotron Nano 12B v2 VL costs $0.20 input / $0.60 output per million tokens (median across 3 API providers; free on Nvidia). At a typical mix of three input tokens to one output token, that is $0.102 per million tokens for Nemotron Nano 9B v2 versus $0.30 for Nemotron Nano 12B v2 VL (2.9× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Nemotron Nano 12B v2 VL has not been scored yet and Nemotron Nano 9B v2 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron Nano 12B v2 VL and Nemotron Nano 9B v2 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 Nano 9B v2 has the largest context window at 131,072 tokens, against 128,000 for Nemotron Nano 12B v2 VL. Maximum output per response: Nemotron Nano 12B v2 VL up to 128,000, Nemotron Nano 9B v2 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Nemotron Nano 12B v2 VL accepts text, images and video; Nemotron Nano 9B v2 accepts text. Nemotron Nano 12B v2 VL 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 Nano 12B v2 VL is the newest, released Oct 28, 2025. Nemotron Nano 9B v2 came out Aug 18, 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 Oct 4, 2026.