| Signal | Llama 3.1 8B Instruct | Delta | Llama 3 70B Instruct |
|---|---|---|---|
Capabilities | 50 | +17 | |
Benchmarks | 41 | -10 | |
Pricing | 0 | -1 | |
Context window size | 67 | +5 | |
Recency | 21 | +17 | |
Output Capacity | 70 | +5 | |
| Overall Result | 4 wins | of 6 | 2 wins |
16
days higher
4
days
10
days higher
Meta
Meta
Llama 3.1 8B Instruct saves you $83.50/month
That's $1002.00/year compared to Llama 3 70B Instruct at your current usage level of 100K calls/month.
| Metric | Llama 3.1 8B Instruct | Llama 3 70B Instruct | Winner |
|---|---|---|---|
| Overall Score | 42 | 40 | Llama 3.1 8B Instruct |
| Rank | #291 | #292 | Llama 3.1 8B Instruct |
| Quality Rank | #291 | #292 | Llama 3.1 8B Instruct |
| Adoption Rank | #291 | #292 | Llama 3.1 8B Instruct |
| Parameters | 8B | 70B | -- |
| Context Window | 16K | 8K | Llama 3.1 8B Instruct |
| Pricing | $0.02/$0.05/M | $0.51/$0.74/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 33 | Llama 3.1 8B Instruct |
| Benchmarks | 41 | 50 | Llama 3 70B Instruct |
| Pricing | 0 | 1 | Llama 3 70B Instruct |
| Context window size | 67 | 62 | Llama 3.1 8B Instruct |
| Recency | 21 | 3 | Llama 3.1 8B Instruct |
| Output Capacity | 70 | 65 | Llama 3.1 8B Instruct |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 42/100 (rank #291), placing it in the top 0% of all 290 models tracked.
Scores 40/100 (rank #292), placing it in the top 0% of all 290 models tracked.
With only a 2-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 8B Instruct offers 94% better value per quality point. At 1M tokens/day, you'd spend $1.05/month with Llama 3.1 8B Instruct vs $18.75/month with Llama 3 70B Instruct - a $17.70 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 8B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (16K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.05/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (42/100) correlates with better nuance, coherence, and style in long-form content
Llama 3.1 8B Instruct and Llama 3 70B Instruct are extremely close in overall performance (only 1.8999999999999986 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Llama 3.1 8B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.1 8B Instruct
94% lower pricing; better value at scale
Best for Reliability
Llama 3.1 8B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Llama 3.1 8B Instruct
Stronger community support and better developer experience
Best for Production
Llama 3.1 8B Instruct
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 3.1 8B Instruct | Llama 3 70B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Meta
Llama 3.1 8B Instruct saves you $1.71/month
That's 95% cheaper than Llama 3 70B Instruct 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 8B Instruct | Llama 3 70B Instruct |
|---|---|---|
| Context Window | 16K | 8K |
| Max Output Tokens | 16,384 | 8,000 |
| Open Source | Yes | Yes |
| Created | Jul 23, 2024 | Apr 18, 2024 |
Llama 3.1 8B Instruct scores 42/100 (rank #291) compared to Llama 3 70B Instruct's 40/100 (rank #292), giving it a 2-point advantage. Llama 3.1 8B Instruct is the stronger overall choice, though Llama 3 70B Instruct may excel in specific areas like certain benchmarks.
Llama 3.1 8B Instruct is ranked #291 and Llama 3 70B Instruct is ranked #292 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Llama 3.1 8B Instruct is cheaper at $0.05/M output tokens vs Llama 3 70B Instruct's $0.74/M output tokens - 14.8x more expensive. Input token pricing: Llama 3.1 8B Instruct at $0.02/M vs Llama 3 70B Instruct at $0.51/M.
Llama 3.1 8B Instruct has a larger context window of 16,384 tokens compared to Llama 3 70B Instruct's 8,192 tokens. A larger context window means the model can process longer documents and conversations.