Llama-3.2-11B-Vision-Instruct vs Nemotron Mini 4B Instruct
Llama-3.2-11B-Vision-Instruct comes out ahead, 40 to 25 on our weighted score, and it is the cheaper option too.
- Our pick
MetaLlama-3.2-11B-Vision-Instruct
40/100- ECI—
- Price$0.055 / $0.345
- Context128K
NVIDIANemotron Mini 4B Instruct
25/100- ECI—
- Price—
- Context128K
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Make it a three-way comparison.
Llama-3.2-11B-Vision-Instruct is our pick
Llama-3.2-11B-Vision-Instruct is the better all-round choice, scoring 40/100 against Nemotron Mini 4B Instruct (25). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. 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 priceLlama-3.2-11B-Vision-InstructLlama-3.2-11B-Vision-Instruct $0.128 per 1M tokens (3:1 blend) · Nemotron Mini 4B Instruct unpriced
- Longest contextAbout the sameLlama-3.2-11B-Vision-Instruct 128,000 · Nemotron Mini 4B Instruct 128,000 tokens
- Widest inputsLlama-3.2-11B-Vision-InstructLlama-3.2-11B-Vision-Instruct: Text, Images · Nemotron Mini 4B Instruct: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Llama-3.2-11B-Vision-Instruct | Nemotron Mini 4B Instruct |
|---|---|---|---|
| Inputs & features | 60% | 50 | 25 |
| Context window | 40% | 24 | 24 |
| Overall | 100% | 40/100 | 25/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Llama-3.2-11B-Vision-InstructMeta | Nemotron Mini 4B InstructNVIDIA |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.055 | — |
| Output | $0.345 | — |
| Cached input | — | — |
| Blended (3:1) | $0.128 | — |
| Long-context rate | Same rate | — |
| Price source | Median of 3 providers | — |
| Limits | ||
| Context window | 128,000 tokens | 128,000 tokens |
| Max output | 4,096 tokens | 8,192 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | — | — |
| API providers | 4 | — |
| Released | Sep 25, 2024 | Aug 21, 2024 |
| Knowledge cutoff | Dec 2023 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Llama-3.2-11B-Vision-Instruct$1.24
- Nemotron Mini 4B Instruct—
Which should you choose?
Which is better: Llama-3.2-11B-Vision-Instruct or Nemotron Mini 4B Instruct?
Llama-3.2-11B-Vision-Instruct is the better all-round choice, scoring 40/100 against Nemotron Mini 4B Instruct (25). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Llama-3.2-11B-Vision-Instruct or Nemotron Mini 4B Instruct?
Llama-3.2-11B-Vision-Instruct is cheaper at $0.055 input / $0.345 output per million tokens (median across 3 API providers). . At a typical mix of three input tokens to one output token, that is $0.128 per million tokens for Llama-3.2-11B-Vision-Instruct versus . Nemotron Mini 4B Instruct has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Llama-3.2-11B-Vision-Instruct has not been scored yet and Nemotron Mini 4B Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Llama-3.2-11B-Vision-Instruct and Nemotron Mini 4B Instruct 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?
Llama-3.2-11B-Vision-Instruct and Nemotron Mini 4B Instruct share the same 128,000-token context window. Maximum output per response: Llama-3.2-11B-Vision-Instruct up to 4,096, Nemotron Mini 4B Instruct up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Llama-3.2-11B-Vision-Instruct accepts text and images; Nemotron Mini 4B Instruct accepts text. Llama-3.2-11B-Vision-Instruct 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?
Llama-3.2-11B-Vision-Instruct is the newest, released Sep 25, 2024. Nemotron Mini 4B Instruct came out Aug 21, 2024. Knowledge cutoff: Llama-3.2-11B-Vision-Instruct Dec 2023.
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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