o3-deep-research vs Llama 3.1 Nemotron Ultra 253B
o3-deep-research comes out ahead, 49 to 31 on our weighted score.
- Our pick
OpenAIo3-deep-research
49/100- ECI—
- Price—
- Context200K
NVIDIALlama 3.1 Nemotron Ultra 253B
31/100- ECI—
- PriceFree / Free
- Context128K
Add a model
Make it a three-way comparison.
o3-deep-research is our pick
o3-deep-research is the better all-round choice, scoring 49/100 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) · o3-deep-research unpriced
- Longest contexto3-deep-researcho3-deep-research 200,000 · Llama 3.1 Nemotron Ultra 253B 128,000 tokens
- Widest inputso3-deep-researcho3-deep-research: Text, Images · Llama 3.1 Nemotron Ultra 253B: Text
- Self-hostingLlama 3.1 Nemotron Ultra 253BPublishes downloadable weights
| Measure | Weight | o3-deep-research | Llama 3.1 Nemotron Ultra 253B |
|---|---|---|---|
| Inputs & features | 60% | 60 | 35 |
| Context window | 40% | 32 | 24 |
| Overall | 100% | 49/100 | 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 | o3-deep-researchOpenAI | 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 | 200,000 tokens (best) | 128,000 tokens |
| Max output | 100,000 tokens (best) | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | — | nvidia/llama-3.1-nemotron-ultra-253b-v1 |
| API providers | — | 1 |
| Released | Jun 26, 2024 | Apr 7, 2025 |
| Knowledge cutoff | May 2024 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- o3-deep-research—
- Llama 3.1 Nemotron Ultra 253BFree
Which should you choose?
Which is better: o3-deep-research or Llama 3.1 Nemotron Ultra 253B?
o3-deep-research is the better all-round choice, scoring 49/100 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, o3-deep-research 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. o3-deep-research has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. o3-deep-research 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 o3-deep-research 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. Both support tool calling for agent workflows.
Which has the bigger context window?
o3-deep-research has the largest context window at 200,000 tokens, against 128,000 for Llama 3.1 Nemotron Ultra 253B. Maximum output per response: o3-deep-research up to 100,000, Llama 3.1 Nemotron Ultra 253B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
o3-deep-research accepts text and images; Llama 3.1 Nemotron Ultra 253B accepts text. o3-deep-research 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; o3-deep-research is proprietary.
Which is newer?
Llama 3.1 Nemotron Ultra 253B is the newest, released Apr 7, 2025. o3-deep-research came out Jun 26, 2024. Knowledge cutoff: o3-deep-research May 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.
