| Signal | Llama 3.1 Nemotron Ultra 253B v1 | Delta | Qwen3 8B |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 60 | -- | |
Pricing | 2 | +1 | |
Context window size | 81 | +8 | |
Recency | 67 | -4 | |
Output Capacity | 20 | -45 | |
| Overall Result | 2 wins | of 6 | 3 wins |
7
days higher
5
days
18
days higher
NVIDIA
Alibaba
Qwen3 8B saves you $125.00/month
That's $1500.00/year compared to Llama 3.1 Nemotron Ultra 253B v1 at your current usage level of 100K calls/month.
| Metric | Llama 3.1 Nemotron Ultra 253B v1 | Qwen3 8B | Winner |
|---|---|---|---|
| Overall Score | 60 | 61 | Qwen3 8B |
| Rank | #100 | #98 | Qwen3 8B |
| Quality Rank | #100 | #98 | Qwen3 8B |
| Adoption Rank | #100 | #98 | Qwen3 8B |
| Parameters | 253B | 8B | -- |
| Context Window | 131K | 41K | Llama 3.1 Nemotron Ultra 253B v1 |
| Pricing | $0.60/$1.80/M | $0.05/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Qwen3 8B |
| Benchmarks | 60 | 60 | Llama 3.1 Nemotron Ultra 253B v1 |
| Pricing | 2 | 0 | Llama 3.1 Nemotron Ultra 253B v1 |
| Context window size | 81 | 73 | Llama 3.1 Nemotron Ultra 253B v1 |
| Recency | 67 | 71 | Qwen3 8B |
| Output Capacity | 20 | 65 | Qwen3 8B |
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 #100), placing it in the top 66% of all 290 models tracked.
Scores 61/100 (rank #98), placing it in the top 67% 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.
Qwen3 8B offers 81% better value per quality point. At 1M tokens/day, you'd spend $6.75/month with Qwen3 8B vs $36.00/month with Llama 3.1 Nemotron Ultra 253B v1 - a $29.25 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. Qwen3 8B 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
Llama 3.1 Nemotron Ultra 253B v1 and Qwen3 8B are extremely close in overall performance (only 0.3999999999999986 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Llama 3.1 Nemotron Ultra 253B v1
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 8B
81% lower pricing; better value at scale
Best for Reliability
Llama 3.1 Nemotron Ultra 253B v1
Higher uptime and faster response speeds
Best for Prototyping
Llama 3.1 Nemotron Ultra 253B v1
Stronger community support and better developer experience
Best for Production
Llama 3.1 Nemotron Ultra 253B v1
Wider enterprise adoption and proven at scale
by NVIDIA
| Capability | Llama 3.1 Nemotron Ultra 253B v1 | Qwen3 8B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
NVIDIA
Alibaba
Qwen3 8B saves you $2.67/month
That's 82% cheaper than Llama 3.1 Nemotron Ultra 253B v1 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 | Llama 3.1 Nemotron Ultra 253B v1 | Qwen3 8B |
|---|---|---|
| Context Window | 131K | 41K |
| Max Output Tokens | -- | 8,192 |
| Open Source | Yes | Yes |
| Created | Apr 8, 2025 | Apr 28, 2025 |
Qwen3 8B scores 61/100 (rank #98) compared to Llama 3.1 Nemotron Ultra 253B v1's 60/100 (rank #100), giving it a 0-point advantage. Qwen3 8B is the stronger overall choice, though Llama 3.1 Nemotron Ultra 253B v1 may excel in specific areas like certain benchmarks.
Llama 3.1 Nemotron Ultra 253B v1 is ranked #100 and Qwen3 8B is ranked #98 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.
Qwen3 8B is cheaper at $0.40/M output tokens vs Llama 3.1 Nemotron Ultra 253B v1's $1.80/M output tokens - 4.5x more expensive. Input token pricing: Llama 3.1 Nemotron Ultra 253B v1 at $0.60/M vs Qwen3 8B at $0.05/M.
Llama 3.1 Nemotron Ultra 253B v1 has a larger context window of 131,072 tokens compared to Qwen3 8B's 40,960 tokens. A larger context window means the model can process longer documents and conversations.