Vision Large vs Llama-3.2-3B
Vision Large comes out ahead, 84 to 10 on our weighted score.
- Our pick
VisparkVision Large
84/100- ECI—
- Price—
- Context1M
MetaLlama-3.2-3B
10/100- ECI—
- Price$0.10 / $0.335
- Context131K
Add a model
Make it a three-way comparison.
Vision Large is our pick
Vision Large is the better all-round choice, scoring 84/100 against Llama-3.2-3B (10). It leads on inputs & features and context window. 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-3.2-3BLlama-3.2-3B $0.159 per 1M tokens (3:1 blend) · Vision Large unpriced
- Longest contextVision LargeVision Large 1,000,000 · Llama-3.2-3B 131,072 tokens
- Widest inputsVision LargeVision Large: Text, Images, PDFs, Audio, Video · Llama-3.2-3B: Text
- Self-hostingLlama-3.2-3BPublishes downloadable weights (Llama 3.2 Community License)
| Measure | Weight | Vision Large | Llama-3.2-3B |
|---|---|---|---|
| Inputs & features | 60% | 100 | 0 |
| Context window | 40% | 60 | 24 |
| Overall | 100% | 84/100 | 10/100 |
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 | Vision LargeVispark | Llama-3.2-3BMeta |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | $0.10 |
| Output | — | $0.335 |
| Cached input | — | — |
| Blended (3:1) | — | $0.159 |
| Long-context rate | — | Same rate |
| Price source | — | Median of 3 providers |
| Limits | ||
| Context window | 1,000,000 tokens (best) | 131,072 tokens |
| Max output | 65,536 tokens (best) | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | Yes | No |
| Video | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | No |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | OpenLlama 3.2 Community License |
| API model ID | — | — |
| API providers | — | 3 |
| Released | May 15, 2024 | Sep 25, 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.
- Vision Large—
- Llama-3.2-3B$1.67
Which should you choose?
Which is better: Vision Large or Llama-3.2-3B?
Vision Large is the better all-round choice, scoring 84/100 against Llama-3.2-3B (10). It leads on inputs & features and context window. 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, Vision Large or Llama-3.2-3B?
Llama-3.2-3B is cheaper at $0.10 input / $0.335 output per million tokens (median across 3 API providers). . At a typical mix of three input tokens to one output token, that is $0.159 per million tokens for Llama-3.2-3B versus . Vision Large has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Vision Large has not been scored yet and Llama-3.2-3B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Vision Large and Llama-3.2-3B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Llama-3.2-3B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Vision Large has the largest context window at 1,000,000 tokens, against 131,072 for Llama-3.2-3B. Maximum output per response: Vision Large up to 65,536, Llama-3.2-3B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Vision Large accepts text, images, PDFs, audio and video; Llama-3.2-3B accepts text. Vision Large handles the widest range of inputs.
Are any of these open source?
Llama-3.2-3B publishes its weights (Llama 3.2 Community License) and can be self-hosted; Vision Large is proprietary.
Which is newer?
Llama-3.2-3B is the newest, released Sep 25, 2024. Vision Large came out May 15, 2024. Knowledge cutoff: Llama-3.2-3B 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 Oct 4, 2026.
