| Signal | Llama 3 8B Instruct | Delta | R1 |
|---|---|---|---|
Capabilities | 17 | -33 | |
Benchmarks | 32 | -41 | |
Pricing | 100 | +3 | |
Context window size | 62 | -14 | |
Recency | 0 | -46 | |
Output Capacity | 65 | -5 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
33.6
current score
R1
right now
73
current score
Meta
DeepSeek
Llama 3 8B Instruct saves you $189.00/month
That's $2268.00/year compared to R1 at your current usage level of 100K calls/month.
| Metric | Llama 3 8B Instruct | R1 | Winner |
|---|---|---|---|
| Overall Score | 34 | 73 | R1 |
| Rank | #331 | #76 | R1 |
| Quality Rank | #331 | #76 | R1 |
| Adoption Rank | #331 | #76 | R1 |
| Parameters | 8B | -- | -- |
| Context Window | 8K | 64K | R1 |
| Pricing | $0.04/$0.04/M | $0.70/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 50 | R1 |
| Benchmarks | 32 | 73 | R1 |
| Pricing | 100 | 98 | Llama 3 8B Instruct |
| Context window size | 62 | 76 | R1 |
| Recency | 0 | 46 | R1 |
| Output Capacity | 65 | 70 | R1 |
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 #331), placing it in the top -14% of all 290 models tracked.
Scores 73/100 (rank #76), placing it in the top 74% of all 290 models tracked.
R1 has a 39-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Llama 3 8B Instruct offers 98% better value per quality point. At 1M tokens/day, you'd spend $1.20/month with Llama 3 8B Instruct vs $48.00/month with R1 - a $46.80 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 (64K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.04/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (73/100) correlates with better nuance, coherence, and style in long-form content
R1 clearly outperforms Llama 3 8B Instruct with a significant 39.4-point lead. For most general use cases, R1 is the stronger choice. However, Llama 3 8B Instruct may still excel in niche scenarios.
Best for Quality
Llama 3 8B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3 8B Instruct
98% 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 | R1 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
DeepSeek
Llama 3 8B Instruct saves you $4.14/month
That's 97% cheaper than R1 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 | R1 |
|---|---|---|
| Context Window | 8K | 64K |
| Max Output Tokens | 8,192 | 16,000 |
| Open Source | Yes | Yes |
| Created | Apr 18, 2024 | Jan 20, 2025 |