| Signal | Llama 3 8B Instruct | Delta | Nova Pro 1.0 |
|---|---|---|---|
Capabilities | 33 | -17 | |
Benchmarks | 32 | +32 | |
Pricing | 100 | +3 | |
Context window size | 56 | -22 | |
Recency | 0 | -30 | |
Output Capacity | 20 | -42 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
34.2
current score
Nova Pro 1.0
right now
40
current score
Meta
Amazon
Llama 3 8B Instruct saves you $219.00/month
That's $2628.00/year compared to Nova Pro 1.0 at your current usage level of 100K calls/month.
| Metric | Llama 3 8B Instruct | Nova Pro 1.0 | Winner |
|---|---|---|---|
| Overall Score | 34 | 40 | Nova Pro 1.0 |
| Rank | #304 | #281 | Nova Pro 1.0 |
| Quality Rank | #304 | #281 | Nova Pro 1.0 |
| Adoption Rank | #304 | #281 | Nova Pro 1.0 |
| Parameters | 8B | -- | -- |
| Context Window | 8K | 300K | Nova Pro 1.0 |
| Pricing | $0.14/$0.14/M | $0.80/$3.20/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 50 | Nova Pro 1.0 |
| Benchmarks | 32 | -- | Llama 3 8B Instruct |
| Pricing | 100 | 97 | Llama 3 8B Instruct |
| Context window size | 56 | 78 | Nova Pro 1.0 |
| Recency | 0 | 30 | Nova Pro 1.0 |
| Output Capacity | 20 | 62 | Nova Pro 1.0 |
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 34/100 (rank #304), placing it in the top -4% of all 290 models tracked.
Scores 40/100 (rank #281), placing it in the top 3% of all 290 models tracked.
Nova Pro 1.0 has a 6-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Llama 3 8B Instruct offers 93% better value per quality point. At 1M tokens/day, you'd spend $4.20/month with Llama 3 8B Instruct vs $60.00/month with Nova Pro 1.0 - a $55.80 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Llama 3 8B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (300K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.14/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Nova Pro 1.0 has a moderate advantage with a 5.799999999999997-point lead in composite score. It wins on more signal dimensions, but Llama 3 8B Instruct has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Llama 3 8B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3 8B Instruct
93% lower pricing; better value at scale
Best for Reliability
Llama 3 8B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Llama 3 8B Instruct
Stronger community support and better developer experience
Best for Production
Llama 3 8B Instruct
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 3 8B Instruct | Nova Pro 1.0 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Amazon
Llama 3 8B Instruct saves you $4.86/month
That's 92% cheaper than Nova Pro 1.0 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 8B Instruct | Nova Pro 1.0 |
|---|---|---|
| Context Window | 8K | 300K |
| Max Output Tokens | -- | 5,120 |
| Open Source | Yes | No |
| Created | Apr 18, 2024 | Dec 5, 2024 |