Llama 3.1 Nemotron Ultra 253B vs Nemotron Mini 4B Instruct
Llama 3.1 Nemotron Ultra 253B comes out ahead, 65 to 62 on our weighted score.
- Our pick
NVIDIA
Llama 3.1 Nemotron Ultra 253B
65/100- ECI—
- PriceFree / Free
- Context128K
NVIDIA
Nemotron Mini 4B Instruct
62/100- ECI—
- PriceFree / Free
- Context128K
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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 65/100 against Nemotron Mini 4B Instruct (62). It leads on inputs & features. 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 priceSame priceLlama 3.1 Nemotron Ultra 253B Free · Nemotron Mini 4B Instruct Free per 1M tokens (3:1 blend)
- Longest contextAbout the sameLlama 3.1 Nemotron Ultra 253B 128,000 · Nemotron Mini 4B Instruct 128,000 tokens
- Widest inputsSame inputsLlama 3.1 Nemotron Ultra 253B: Text · Nemotron Mini 4B Instruct: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Llama 3.1 Nemotron Ultra 253B | Nemotron Mini 4B Instruct |
|---|---|---|---|
| Price | 50% | 100 | 100 |
| Inputs & features | 30% | 35 | 25 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 65/100 | 62/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | Free | Free |
| Output | Free | Free |
| Cached input | — | — |
| Blended (3:1) | Free | Free |
| Long-context rate | Same rate | Same rate |
| Price source | Official Nvidia API | Official Nvidia API |
| Limits | ||
| Context window | 128,000 tokens | 128,000 tokens |
| Max output | 8,192 tokens | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | nvidia/llama-3.1-nemotron-ultra-253b-v1 | nvidia/nemotron-mini-4b-instruct |
| API providers | 1 | 1 |
| Released | Apr 7, 2025 | Aug 21, 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
Nemotron Mini 4B InstructFree
Which should you choose?
Which is better: Llama 3.1 Nemotron Ultra 253B or Nemotron Mini 4B Instruct?
Llama 3.1 Nemotron Ultra 253B is the better all-round choice, scoring 65/100 against Nemotron Mini 4B Instruct (62). It leads on inputs & features. 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, Llama 3.1 Nemotron Ultra 253B or Nemotron Mini 4B Instruct?
Llama 3.1 Nemotron Ultra 253B and Nemotron Mini 4B Instruct cost the same: Free input / Free output per million tokens.
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 Nemotron Mini 4B Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Llama 3.1 Nemotron Ultra 253B 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 3.1 Nemotron Ultra 253B and Nemotron Mini 4B Instruct share the same 128,000-token context window. Maximum output per response: Llama 3.1 Nemotron Ultra 253B up to 8,192, Nemotron Mini 4B Instruct up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Llama 3.1 Nemotron Ultra 253B accepts text; Nemotron Mini 4B Instruct accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Llama 3.1 Nemotron Ultra 253B is the newest, released Apr 7, 2025. Nemotron Mini 4B Instruct came out Aug 21, 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.