Grok 4.1 Fast (Reasoning) vs Nemotron Nano 12B v2 VL vs GLM-4.6V-Flash
Grok 4.1 Fast (Reasoning) comes out ahead, 69 to 63 and 62 on our weighted score, though GLM-4.6V-Flash is 5% cheaper per token.
- Our pick
xAIGrok 4.1 Fast (Reasoning)
69/100- ECI—
- Price$0.20 / $0.50
- Context2M
NVIDIANemotron Nano 12B v2 VL
62/100- ECI—
- Price$0.20 / $0.60
- Context128K
Z.ai (Zhipu)GLM-4.6V-Flash
63/100- ECI—
- Price$0.161 / $0.559
- Context128K
Grok 4.1 Fast (Reasoning) is our pick
Grok 4.1 Fast (Reasoning) is the better all-round choice, scoring 69/100 against GLM-4.6V-Flash (63) and Nemotron Nano 12B v2 VL (62). 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 (Reasoning) $0.275 · Nemotron Nano 12B v2 VL $0.30 per 1M tokens (3:1 blend)
- Longest contextGrok 4.1 Fast (Reasoning)Grok 4.1 Fast (Reasoning) 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-FlashGrok 4.1 Fast (Reasoning): Text, Images · Nemotron Nano 12B v2 VL: Text, Images, Video · GLM-4.6V-Flash: Text, Images, Video
- Self-hostingNemotron Nano 12B v2 VL and GLM-4.6V-FlashPublishes downloadable weights
| Measure | Weight | Grok 4.1 Fast (Reasoning) | Nemotron Nano 12B v2 VL | GLM-4.6V-Flash |
|---|---|---|---|---|
| Price | 50% | 73 | 72 | 74 |
| Inputs & features | 30% | 60 | 70 | 70 |
| Context window | 20% | 72 | 24 | 24 |
| Overall | 100% | 69/100 | 62/100 | 63/100 |
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 | Grok 4.1 Fast (Reasoning)xAI | Nemotron Nano 12B v2 VLNVIDIA | GLM-4.6V-FlashZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.20 | $0.20 | $0.161 (best) |
| Output | $0.50 (best) | $0.60 | $0.559 |
| Cached input | — | — | — |
| Blended (3:1) | $0.275 | $0.30 | $0.261 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 7 providers | Median of 4 providers | Median of 2 providers |
| Limits | |||
| Context window | 2,000,000 tokens (best) | 128,000 tokens | 128,000 tokens |
| Max output | 30,000 tokens | 128,000 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | — | — | glm-4.6v-flash |
| API providers | 9 (best) | 4 | 6 |
| Released | Nov 19, 2025 | 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.
- Grok 4.1 Fast (Reasoning)$3.00
- Nemotron Nano 12B v2 VL$3.20
- GLM-4.6V-Flash$2.73
Which should you choose?
Which is better: Grok 4.1 Fast (Reasoning), Nemotron Nano 12B v2 VL or GLM-4.6V-Flash?
Grok 4.1 Fast (Reasoning) is the better all-round choice, scoring 69/100 against GLM-4.6V-Flash (63) and Nemotron Nano 12B v2 VL (62). 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, Grok 4.1 Fast (Reasoning), 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). Grok 4.1 Fast (Reasoning) costs $0.20 input / $0.50 output per million tokens (median across 7 API providers); Nemotron Nano 12B v2 VL costs $0.20 input / $0.60 output per million tokens (median across 4 API providers). 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 (Reasoning) (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. Grok 4.1 Fast (Reasoning) has not been scored 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 Grok 4.1 Fast (Reasoning), 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. All three support tool calling for agent workflows.
Which has the bigger context window?
Grok 4.1 Fast (Reasoning) 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: Grok 4.1 Fast (Reasoning) up to 30,000, 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?
Grok 4.1 Fast (Reasoning) accepts text and images; Nemotron Nano 12B v2 VL accepts text, images and video; GLM-4.6V-Flash accepts text, images and video. 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 (Reasoning) is proprietary.
Which is newer?
GLM-4.6V-Flash is the newest, released Dec 8, 2025. Grok 4.1 Fast (Reasoning) 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 Nov 2, 2026.
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