Aya Vision 32B vs Llama 3.1 Nemotron Ultra 253B
Llama 3.1 Nemotron Ultra 253B comes out ahead, 31 to 15 on our weighted score, and it is the cheaper option too.
CohereAya Vision 32B
15/100- ECI—
- Price—
- Context16K
- Our pick
NVIDIALlama 3.1 Nemotron Ultra 253B
31/100- ECI—
- PriceFree / Free
- Context128K
Add a model
Make it a three-way comparison.
Llama 3.1 Nemotron Ultra 253B is our pick
Llama 3.1 Nemotron Ultra 253B is the better all-round choice, scoring 31/100 against Aya Vision 32B (15). 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 3.1 Nemotron Ultra 253BLlama 3.1 Nemotron Ultra 253B Free per 1M tokens (3:1 blend) · Aya Vision 32B unpriced
- Longest contextLlama 3.1 Nemotron Ultra 253BLlama 3.1 Nemotron Ultra 253B 128,000 · Aya Vision 32B 16,000 tokens
- Widest inputsAya Vision 32BAya Vision 32B: Text, Images · Llama 3.1 Nemotron Ultra 253B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Aya Vision 32B | Llama 3.1 Nemotron Ultra 253B |
|---|---|---|---|
| Inputs & features | 60% | 25 | 35 |
| Context window | 40% | 0 | 24 |
| Overall | 100% | 15/100 | 31/100 |
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 | Aya Vision 32BCohere | Llama 3.1 Nemotron Ultra 253BNVIDIA |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | Free |
| Output | — | Free |
| Cached input | — | — |
| Blended (3:1) | — | Free |
| Long-context rate | — | Same rate |
| Price source | — | Official Nvidia API |
| Limits | ||
| Context window | 16,000 tokens | 128,000 tokens (best) |
| Max output | 4,000 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 | Yes |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenCC-BY-NC-4.0 | Open |
| API model ID | c4ai-aya-vision-32b | nvidia/llama-3.1-nemotron-ultra-253b-v1 |
| API providers | 1 | 1 |
| Released | Mar 4, 2025 | Apr 7, 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.
- Aya Vision 32B—
- Llama 3.1 Nemotron Ultra 253BFree
Which should you choose?
Which is better: Aya Vision 32B or Llama 3.1 Nemotron Ultra 253B?
Llama 3.1 Nemotron Ultra 253B is the better all-round choice, scoring 31/100 against Aya Vision 32B (15). 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, Aya Vision 32B or Llama 3.1 Nemotron Ultra 253B?
Llama 3.1 Nemotron Ultra 253B is cheaper at Free input / Free output per million tokens (official Nvidia API price). . Llama 3.1 Nemotron Ultra 253B is listed as free. Aya Vision 32B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Aya Vision 32B has not been scored yet and Llama 3.1 Nemotron Ultra 253B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Aya Vision 32B and Llama 3.1 Nemotron Ultra 253B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Aya Vision 32B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Llama 3.1 Nemotron Ultra 253B has the largest context window at 128,000 tokens, against 16,000 for Aya Vision 32B. Maximum output per response: Aya Vision 32B up to 4,000, Llama 3.1 Nemotron Ultra 253B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Aya Vision 32B accepts text and images; Llama 3.1 Nemotron Ultra 253B accepts text. Aya Vision 32B handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights (CC-BY-NC-4.0), so you can self-host them.
Which is newer?
Llama 3.1 Nemotron Ultra 253B is the newest, released Apr 7, 2025. Aya Vision 32B came out Mar 4, 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.
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