| Signal | GPT-4o-mini Search Preview | Delta | Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 74 | +15 | |
Pricing | 99 | 0 | |
Context window size | 81 | 0 | |
Recency | 61 | -38 | |
Output Capacity | 70 | +50 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
60.8
current score
GPT-4o-mini Search Preview
right now
60.6
current score
OpenAI
NVIDIA
Llama 3.3 Nemotron Super 49B V1.5 saves you $15.00/month
That's $180.00/year compared to GPT-4o-mini Search Preview at your current usage level of 100K calls/month.
| Metric | GPT-4o-mini Search Preview | Llama 3.3 Nemotron Super 49B V1.5 | Winner |
|---|---|---|---|
| Overall Score | 61 | 61 | GPT-4o-mini Search Preview |
| Rank | #134 | #136 | GPT-4o-mini Search Preview |
| Quality Rank | #134 | #136 | GPT-4o-mini Search Preview |
| Adoption Rank | #134 | #136 | GPT-4o-mini Search Preview |
| Parameters | -- | 49B | -- |
| Context Window | 128K | 131K | Llama 3.3 Nemotron Super 49B V1.5 |
| Pricing | $0.15/$0.60/M | $0.10/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Llama 3.3 Nemotron Super 49B V1.5 |
| Benchmarks | 74 | 59 | GPT-4o-mini Search Preview |
| Pricing | 99 | 100 | Llama 3.3 Nemotron Super 49B V1.5 |
| Context window size | 81 | 81 | Llama 3.3 Nemotron Super 49B V1.5 |
| Recency | 61 | 100 | Llama 3.3 Nemotron Super 49B V1.5 |
| Output Capacity | 70 | 20 | GPT-4o-mini Search 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%). Learn more about our methodology.
Scores 61/100 (rank #134), placing it in the top 54% of all 290 models tracked.
Scores 61/100 (rank #136), placing it in the top 53% 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 3.3 Nemotron Super 49B V1.5 offers 33% better value per quality point. At 1M tokens/day, you'd spend $7.50/month with Llama 3.3 Nemotron Super 49B V1.5 vs $11.25/month with GPT-4o-mini Search Preview - a $3.75 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 3.3 Nemotron Super 49B V1.5 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 ($0.40/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (61/100) correlates with better nuance, coherence, and style in long-form content
GPT-4o-mini Search Preview and Llama 3.3 Nemotron Super 49B V1.5 are extremely close in overall performance (only 0.19999999999999574 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o-mini Search Preview
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.3 Nemotron Super 49B V1.5
33% lower pricing; better value at scale
Best for Reliability
GPT-4o-mini Search Preview
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o-mini Search Preview
Stronger community support and better developer experience
Best for Production
GPT-4o-mini Search Preview
Wider enterprise adoption and proven at scale
by OpenAI
by NVIDIA
| Capability | GPT-4o-mini Search Preview | Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
NVIDIA
Llama 3.3 Nemotron Super 49B V1.5 saves you $0.3300/month
That's 33% cheaper than GPT-4o-mini Search 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-4o-mini Search Preview | Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 16,384 | -- |
| Open Source | No | Yes |
| Created | Mar 12, 2025 | Oct 10, 2025 |