Llama 3.1 Nemotron Ultra 253B vs Vision Large
Vision Large comes out ahead, 84 to 31 on our weighted score.
NVIDIALlama 3.1 Nemotron Ultra 253B
31/100- ECI—
- PriceFree / Free
- Context128K
- Our pick
VisparkVision Large
84/100- ECI—
- Price—
- Context1M
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 3.1 Nemotron Ultra 253B (31). 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) · Vision Large unpriced
- Longest contextVision LargeVision Large 1,000,000 · Llama 3.1 Nemotron Ultra 253B 128,000 tokens
- Widest inputsVision LargeLlama 3.1 Nemotron Ultra 253B: Text · Vision Large: Text, Images, PDFs, Audio, Video
- Self-hostingLlama 3.1 Nemotron Ultra 253BPublishes downloadable weights
| Measure | Weight | Llama 3.1 Nemotron Ultra 253B | Vision Large |
|---|---|---|---|
| Inputs & features | 60% | 35 | 100 |
| Context window | 40% | 24 | 60 |
| Overall | 100% | 31/100 | 84/100 |
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 3.1 Nemotron Ultra 253BNVIDIA | Vision LargeVispark |
|---|---|---|
| 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 | 128,000 tokens | 1,000,000 tokens (best) |
| Max output | 8,192 tokens | 65,536 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | Yes |
| Video | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | nvidia/llama-3.1-nemotron-ultra-253b-v1 | — |
| API providers | 1 | — |
| Released | Apr 7, 2025 | May 15, 2024 |
| 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.
- Llama 3.1 Nemotron Ultra 253BFree
- Vision Large—
Which should you choose?
Which is better: Llama 3.1 Nemotron Ultra 253B or Vision Large?
Vision Large is the better all-round choice, scoring 84/100 against Llama 3.1 Nemotron Ultra 253B (31). 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, Llama 3.1 Nemotron Ultra 253B or Vision Large?
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. Vision Large has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Llama 3.1 Nemotron Ultra 253B has not been scored yet and Vision Large has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Llama 3.1 Nemotron Ultra 253B and Vision Large 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?
Vision Large has the largest context window at 1,000,000 tokens, against 128,000 for Llama 3.1 Nemotron Ultra 253B. Maximum output per response: Llama 3.1 Nemotron Ultra 253B up to 8,192, Vision Large up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Llama 3.1 Nemotron Ultra 253B accepts text; Vision Large accepts text, images, PDFs, audio and video. Vision Large handles the widest range of inputs.
Are any of these open source?
Llama 3.1 Nemotron Ultra 253B publishes its weights and can be self-hosted; Vision Large is proprietary.
Which is newer?
Llama 3.1 Nemotron Ultra 253B is the newest, released Apr 7, 2025. Vision Large came out May 15, 2024.
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.
Related comparisons
- Add GLM-4.5-FlashThree-way comparison
- Llama 3.1 Nemotron Ultra 253B vs GLM-4.5-FlashZ.ai (Zhipu)
- Llama 3.1 Nemotron Ultra 253B vs Nova 2 ProAmazon
- Llama 3.1 Nemotron Ultra 253B vs Laguna M.1Poolside
- Llama 3.1 Nemotron Ultra 253B vs Aya Vision 32BCohere
- Vision Large vs CodestralMistral AI
- Vision Large vs solar-miniUpstage
