Nemotron Nano 12B v2 VL vs GLM-4.6V-Flash vs Grok 4.1 Fast
Grok 4.1 Fast comes out ahead, 71 to 65 and 63 on our weighted score, though GLM-4.6V-Flash is 5% cheaper per token.
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
- Our pick
xAIGrok 4.1 Fast
71/100- ECI—
- Price$0.20 / $0.50
- Context2M
Grok 4.1 Fast is our pick
Grok 4.1 Fast is the better all-round choice, scoring 71/100 against GLM-4.6V-Flash (65) and Nemotron Nano 12B v2 VL (63). It leads on context window. 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 · Grok 4.1 Fast $0.275 · Nemotron Nano 12B v2 VL $0.30 per 1M tokens (3:1 blend)
- Longest contextGrok 4.1 FastGrok 4.1 Fast 2,000,000 · Nemotron Nano 12B v2 VL 128,000 · GLM-4.6V-Flash 128,000 tokens
- Widest inputsNemotron Nano 12B v2 VL and GLM-4.6V-FlashNemotron Nano 12B v2 VL: Text, Images, Video · GLM-4.6V-Flash: Text, Images, Video · Grok 4.1 Fast: Text, Images
- Self-hostingNemotron Nano 12B v2 VL and GLM-4.6V-FlashPublishes downloadable weights
| Measure | Weight | Nemotron Nano 12B v2 VL | GLM-4.6V-Flash | Grok 4.1 Fast |
|---|---|---|---|---|
| Price | 50% | 75 | 78 | 76 |
| Inputs & features | 30% | 70 | 70 | 60 |
| Context window | 20% | 24 | 24 | 72 |
| Overall | 100% | 63/100 | 65/100 | 71/100 |
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) | Grok 4.1 FastxAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.20 | $0.161 (best) | $0.20 |
| Output | $0.60 | $0.559 | $0.50 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.30 | $0.261 (best) | $0.275 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 2 providers | Median of 2 providers |
| Limits | |||
| Context window | 128,000 tokens | 128,000 tokens | 2,000,000 tokens (best) |
| Max output | 128,000 tokens (best) | 32,768 tokens | 30,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | Yes | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | nvidia/nemotron-nano-12b-v2-vl | glm-4.6v-flash | — |
| API providers | 4 | 6 (best) | 2 |
| Released | Oct 28, 2025 | Dec 8, 2025 | Nov 19, 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
- Grok 4.1 Fast$3.00
Which should you choose?
Which is better: Nemotron Nano 12B v2 VL, GLM-4.6V-Flash or Grok 4.1 Fast?
Grok 4.1 Fast is the better all-round choice, scoring 71/100 against GLM-4.6V-Flash (65) and Nemotron Nano 12B v2 VL (63). It leads on context window. 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, GLM-4.6V-Flash or Grok 4.1 Fast?
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). Grok 4.1 Fast costs $0.20 input / $0.50 output per million tokens (median across 2 API providers); 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 $0.275 for Grok 4.1 Fast (1.1× as much) and $0.30 for Nemotron Nano 12B v2 VL (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Nemotron Nano 12B v2 VL has not been scored yet, GLM-4.6V-Flash has not been scored yet and Grok 4.1 Fast has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron Nano 12B v2 VL, GLM-4.6V-Flash and Grok 4.1 Fast yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Grok 4.1 Fast has the largest context window at 2,000,000 tokens, against 128,000 for Nemotron Nano 12B v2 VL and 128,000 for GLM-4.6V-Flash. Maximum output per response: Nemotron Nano 12B v2 VL up to 128,000, GLM-4.6V-Flash up to 32,768, Grok 4.1 Fast up to 30,000 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; Grok 4.1 Fast accepts text and images. Nemotron Nano 12B v2 VL handles the widest range of inputs.
Are any of these open source?
Nemotron Nano 12B v2 VL and GLM-4.6V-Flash publishes its weights and can be self-hosted; Grok 4.1 Fast is proprietary.
Which is newer?
GLM-4.6V-Flash is the newest, released Dec 8, 2025. Grok 4.1 Fast came out Nov 19, 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.
