Nemotron Nano 12B v2 VL vs Gemma-SEA-LION-v4-27B-IT
Nemotron Nano 12B v2 VL comes out ahead, 62 to 45 on our weighted score, and it is the cheaper option too.
- Our pick
NVIDIANemotron Nano 12B v2 VL
62/100- ECI—
- Price$0.20 / $0.60
- Context128K
AI Singapore
Gemma-SEA-LION-v4-27B-IT
45/100- ECI—
- Price$0.351 / $0.555
- Context128K
Add a model
Make it a three-way comparison.
Nemotron Nano 12B v2 VL is our pick
Nemotron Nano 12B v2 VL is the better all-round choice, scoring 62/100 against Gemma-SEA-LION-v4-27B-IT (45). It leads on price and inputs & features. 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 12B v2 VLNemotron Nano 12B v2 VL $0.30 · Gemma-SEA-LION-v4-27B-IT $0.402 per 1M tokens (3:1 blend)
- Longest contextAbout the sameNemotron Nano 12B v2 VL 128,000 · Gemma-SEA-LION-v4-27B-IT 128,000 tokens
- Widest inputsNemotron Nano 12B v2 VLNemotron Nano 12B v2 VL: Text, Images, Video · Gemma-SEA-LION-v4-27B-IT: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron Nano 12B v2 VL | Gemma-SEA-LION-v4-27B-IT |
|---|---|---|---|
| Price | 50% | 72 | 66 |
| Inputs & features | 30% | 70 | 25 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 62/100 | 45/100 |
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 Nano 12B v2 VLNVIDIA | Gemma-SEA-LION-v4-27B-ITAI Singapore |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.20 (best) | $0.351 |
| Output | $0.60 | $0.555 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.30 (best) | $0.402 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 4 providers | Median of 3 providers |
| Limits | ||
| Context window | 128,000 tokens | 128,000 tokens |
| Max output | 128,000 tokens | 128,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | — | — |
| API providers | 4 (best) | 3 |
| Released | Oct 28, 2025 | Sep 23, 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
- Gemma-SEA-LION-v4-27B-IT$4.62
Which should you choose?
Which is better: Nemotron Nano 12B v2 VL or Gemma-SEA-LION-v4-27B-IT?
Nemotron Nano 12B v2 VL is the better all-round choice, scoring 62/100 against Gemma-SEA-LION-v4-27B-IT (45). It leads on price and inputs & features. 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 Gemma-SEA-LION-v4-27B-IT?
Nemotron Nano 12B v2 VL is cheaper at $0.20 input / $0.60 output per million tokens (median across 4 API providers). Gemma-SEA-LION-v4-27B-IT costs $0.351 input / $0.555 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.30 per million tokens for Nemotron Nano 12B v2 VL versus $0.402 for Gemma-SEA-LION-v4-27B-IT (1.3× 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 Gemma-SEA-LION-v4-27B-IT 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 Gemma-SEA-LION-v4-27B-IT yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Gemma-SEA-LION-v4-27B-IT does not support tool calling, which most coding agents need.
Which has the bigger context window?
Nemotron Nano 12B v2 VL and Gemma-SEA-LION-v4-27B-IT share the same 128,000-token context window. Maximum output per response: Nemotron Nano 12B v2 VL up to 128,000, Gemma-SEA-LION-v4-27B-IT up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Nemotron Nano 12B v2 VL accepts text, images and video; Gemma-SEA-LION-v4-27B-IT accepts text and images. 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. Gemma-SEA-LION-v4-27B-IT came out Sep 23, 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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