| Signal | GPT-4 Turbo Preview | Delta | Llama 3.1 Nemotron Ultra 253B v1 |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 66 | +6 | |
Pricing | 70 | -28 | |
Context window size | 81 | 0 | |
Recency | 0 | -67 | |
Output Capacity | 60 | +40 | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
59.8
current score
Llama 3.1 Nemotron Ultra 253B v1
right now
60.2
current score
OpenAI
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1 saves you $2350.00/month
That's $28200.00/year compared to GPT-4 Turbo Preview at your current usage level of 100K calls/month.
| Metric | GPT-4 Turbo Preview | Llama 3.1 Nemotron Ultra 253B v1 | Winner |
|---|---|---|---|
| Overall Score | 60 | 60 | Llama 3.1 Nemotron Ultra 253B v1 |
| Rank | #97 | #95 | Llama 3.1 Nemotron Ultra 253B v1 |
| Quality Rank | #97 | #95 | Llama 3.1 Nemotron Ultra 253B v1 |
| Adoption Rank | #97 | #95 | Llama 3.1 Nemotron Ultra 253B v1 |
| Parameters | -- | 253B | -- |
| Context Window | 128K | 131K | Llama 3.1 Nemotron Ultra 253B v1 |
| Pricing | $10.00/$30.00/M | $0.60/$1.80/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | GPT-4 Turbo Preview |
| Benchmarks | 66 | 60 | GPT-4 Turbo Preview |
| Pricing | 70 | 98 | Llama 3.1 Nemotron Ultra 253B v1 |
| Context window size | 81 | 81 | Llama 3.1 Nemotron Ultra 253B v1 |
| Recency | 0 | 67 | Llama 3.1 Nemotron Ultra 253B v1 |
| Output Capacity | 60 | 20 | GPT-4 Turbo Preview |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Here's what the scores mean for these two models:
Scores 60/100 (rank #97), placing it in the top 67% of all 290 models tracked.
Scores 60/100 (rank #95), placing it in the top 68% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Llama 3.1 Nemotron Ultra 253B v1 offers 94% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with Llama 3.1 Nemotron Ultra 253B v1 vs $600.00/month with GPT-4 Turbo Preview - a $564.00 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Llama 3.1 Nemotron Ultra 253B v1 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.80/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (60/100) correlates with better nuance, coherence, and style in long-form content
GPT-4 Turbo Preview and Llama 3.1 Nemotron Ultra 253B v1 are extremely close in overall performance (only 0.4000000000000057 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4 Turbo Preview
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.1 Nemotron Ultra 253B v1
94% lower pricing; better value at scale
Best for Reliability
GPT-4 Turbo Preview
Higher uptime and faster response speeds
Best for Prototyping
GPT-4 Turbo Preview
Stronger community support and better developer experience
Best for Production
GPT-4 Turbo Preview
Wider enterprise adoption and proven at scale
by OpenAI
by NVIDIA
| Capability | GPT-4 Turbo Preview | Llama 3.1 Nemotron Ultra 253B v1 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
OpenAI
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1 saves you $50.76/month
That's 94% cheaper than GPT-4 Turbo Preview at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-4 Turbo Preview | Llama 3.1 Nemotron Ultra 253B v1 |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 4,096 | -- |
| Open Source | No | Yes |
| Created | Jan 25, 2024 | Apr 8, 2025 |
Llama 3.1 Nemotron Ultra 253B v1 scores 60/100 (rank #95) compared to GPT-4 Turbo Preview's 60/100 (rank #97), giving it a 0-point advantage. Llama 3.1 Nemotron Ultra 253B v1 is the stronger overall choice, though GPT-4 Turbo Preview may excel in specific areas like certain benchmarks.
GPT-4 Turbo Preview is ranked #97 and Llama 3.1 Nemotron Ultra 253B v1 is ranked #95 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Llama 3.1 Nemotron Ultra 253B v1 is cheaper at $1.80/M output tokens vs GPT-4 Turbo Preview's $30.00/M output tokens - 16.7x more expensive. Input token pricing: GPT-4 Turbo Preview at $10.00/M vs Llama 3.1 Nemotron Ultra 253B v1 at $0.60/M.
Llama 3.1 Nemotron Ultra 253B v1 has a larger context window of 131,072 tokens compared to GPT-4 Turbo Preview's 128,000 tokens. A larger context window means the model can process longer documents and conversations.