| Signal | ERNIE 4.5 300B A47B | Delta | Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|---|
Capabilities | 33 | -33 | |
Benchmarks | 63 | +4 | |
Pricing | 99 | -1 | |
Context window size | 81 | 0 | |
Recency | 81 | -18 | |
Output Capacity | 68 | +48 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
60.4
current score
Llama 3.3 Nemotron Super 49B V1.5
right now
60.6
current score
Baidu
NVIDIA
Llama 3.3 Nemotron Super 49B V1.5 saves you $53.00/month
That's $636.00/year compared to ERNIE 4.5 300B A47B at your current usage level of 100K calls/month.
| Metric | ERNIE 4.5 300B A47B | Llama 3.3 Nemotron Super 49B V1.5 | Winner |
|---|---|---|---|
| Overall Score | 60 | 61 | Llama 3.3 Nemotron Super 49B V1.5 |
| Rank | #138 | #136 | Llama 3.3 Nemotron Super 49B V1.5 |
| Quality Rank | #138 | #136 | Llama 3.3 Nemotron Super 49B V1.5 |
| Adoption Rank | #138 | #136 | Llama 3.3 Nemotron Super 49B V1.5 |
| Parameters | 300B | 49B | -- |
| Context Window | 123K | 131K | Llama 3.3 Nemotron Super 49B V1.5 |
| Pricing | $0.28/$1.10/M | $0.10/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 67 | Llama 3.3 Nemotron Super 49B V1.5 |
| Benchmarks | 63 | 59 | ERNIE 4.5 300B A47B |
| 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 | 81 | 100 | Llama 3.3 Nemotron Super 49B V1.5 |
| Output Capacity | 68 | 20 | ERNIE 4.5 300B A47B |
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 60/100 (rank #138), placing it in the top 53% 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 64% 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 $20.70/month with ERNIE 4.5 300B A47B - a $13.20 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
ERNIE 4.5 300B A47B and Llama 3.3 Nemotron Super 49B V1.5 are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
ERNIE 4.5 300B A47B
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.3 Nemotron Super 49B V1.5
64% lower pricing; better value at scale
Best for Reliability
ERNIE 4.5 300B A47B
Higher uptime and faster response speeds
Best for Prototyping
ERNIE 4.5 300B A47B
Stronger community support and better developer experience
Best for Production
ERNIE 4.5 300B A47B
Wider enterprise adoption and proven at scale
by Baidu
by NVIDIA
| Capability | ERNIE 4.5 300B A47B | Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Baidu
NVIDIA
Llama 3.3 Nemotron Super 49B V1.5 saves you $1.16/month
That's 64% cheaper than ERNIE 4.5 300B A47B 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 | ERNIE 4.5 300B A47B | Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|
| Context Window | 123K | 131K |
| Max Output Tokens | 12,000 | -- |
| Open Source | Yes | Yes |
| Created | Jun 30, 2025 | Oct 10, 2025 |