Nemotron Nano 12B v2 VL vs GLM-4.6V-Flash
Too close to call on our weighted score (GLM-4.6V-Flash 65, Nemotron Nano 12B v2 VL 63). The right pick depends on what you value most.
NVIDIANemotron Nano 12B v2 VL
63/100- ECI—
- Price$0.20 / $0.60
- Context128K
Z.ai (Zhipu)GLM-4.6V-Flash
65/100- ECI—
- Price$0.161 / $0.559
- Context128K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 1 points (GLM-4.6V-Flash 65/100, Nemotron Nano 12B v2 VL 63/100), so choose by what matters most for your work: GLM-4.6V-Flash on price. 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 priceGLM-4.6V-FlashGLM-4.6V-Flash $0.261 · Nemotron Nano 12B v2 VL $0.30 per 1M tokens (3:1 blend)
- Longest contextAbout the sameNemotron Nano 12B v2 VL 128,000 · GLM-4.6V-Flash 128,000 tokens
- Widest inputsSame inputsNemotron Nano 12B v2 VL: Text, Images, Video · GLM-4.6V-Flash: Text, Images, Video
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron Nano 12B v2 VL | GLM-4.6V-Flash |
|---|---|---|---|
| Price | 50% | 75 | 78 |
| Inputs & features | 30% | 70 | 70 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 63/100 | 65/100 |
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 | GLM-4.6V-FlashZ.ai (Zhipu) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.20 | $0.161 (best) |
| Output | $0.60 | $0.559 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.30 | $0.261 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 2 providers |
| Limits | ||
| Context window | 128,000 tokens | 128,000 tokens |
| Max output | 128,000 tokens (best) | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | nvidia/nemotron-nano-12b-v2-vl | glm-4.6v-flash |
| API providers | 4 | 6 (best) |
| Released | Oct 28, 2025 | Dec 8, 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
- GLM-4.6V-Flash$2.73
Which should you choose?
Which is better: Nemotron Nano 12B v2 VL or GLM-4.6V-Flash?
It is close. Our weighted score puts them within 1 points (GLM-4.6V-Flash 65/100, Nemotron Nano 12B v2 VL 63/100), so choose by what matters most for your work: GLM-4.6V-Flash on price. 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 GLM-4.6V-Flash?
GLM-4.6V-Flash is cheaper at $0.161 input / $0.559 output per million tokens (median across 2 API providers; free on Z.AI). 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 $0.261 per million tokens for GLM-4.6V-Flash versus $0.30 for Nemotron Nano 12B v2 VL (1.2× 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 GLM-4.6V-Flash 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 GLM-4.6V-Flash 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 12B v2 VL and GLM-4.6V-Flash share the same 128,000-token context window. Maximum output per response: Nemotron Nano 12B v2 VL up to 128,000, GLM-4.6V-Flash up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Nemotron Nano 12B v2 VL accepts text, images and video; GLM-4.6V-Flash accepts text, images and video. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
GLM-4.6V-Flash is the newest, released Dec 8, 2025. Nemotron Nano 12B v2 VL came out Oct 28, 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.
