| Signal | Claude 3 Haiku | Delta | Llama 3 8B Instruct |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 50 | +1 | |
Pricing | 99 | -1 | |
Context window size | 84 | +22 | |
Recency | 0 | -2 | |
Output Capacity | 60 | -10 | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
52
current score
Claude 3 Haiku
right now
49.5
current score
Anthropic
Meta
Llama 3 8B Instruct saves you $82.50/month
That's $990.00/year compared to Claude 3 Haiku at your current usage level of 100K calls/month.
| Metric | Claude 3 Haiku | Llama 3 8B Instruct | Winner |
|---|---|---|---|
| Overall Score | 52 | 50 | Claude 3 Haiku |
| Rank | #110 | #112 | Claude 3 Haiku |
| Quality Rank | #110 | #112 | Claude 3 Haiku |
| Adoption Rank | #110 | #112 | Claude 3 Haiku |
| Parameters | -- | 8B | -- |
| Context Window | 200K | 8K | Claude 3 Haiku |
| Pricing | $0.25/$1.25/M | $0.03/$0.04/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Claude 3 Haiku |
| Benchmarks | 50 | 49 | Claude 3 Haiku |
| Pricing | 99 | 100 | Llama 3 8B Instruct |
| Context window size | 84 | 62 | Claude 3 Haiku |
| Recency | 0 | 2 | Llama 3 8B Instruct |
| Output Capacity | 60 | 70 | Llama 3 8B Instruct |
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 52/100 (rank #110), placing it in the top 62% of all 290 models tracked.
Scores 50/100 (rank #112), placing it in the top 62% of all 290 models tracked.
With only a 3-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 8B Instruct offers 95% better value per quality point. At 1M tokens/day, you'd spend $1.05/month with Llama 3 8B Instruct vs $22.50/month with Claude 3 Haiku - a $21.45 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 8B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (200K 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 (52/100) 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
Claude 3 Haiku and Llama 3 8B Instruct are extremely close in overall performance (only 2.5 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Claude 3 Haiku
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3 8B Instruct
95% lower pricing; better value at scale
Best for Reliability
Claude 3 Haiku
Higher uptime and faster response speeds
Best for Prototyping
Claude 3 Haiku
Stronger community support and better developer experience
Best for Production
Claude 3 Haiku
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude 3 Haiku | Llama 3 8B Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
Meta
Llama 3 8B Instruct saves you $1.85/month
That's 95% cheaper than Claude 3 Haiku 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 | Claude 3 Haiku | Llama 3 8B Instruct |
|---|---|---|
| Context Window | 200K | 8K |
| Max Output Tokens | 4,096 | 16,384 |
| Open Source | No | Yes |
| Created | Mar 13, 2024 | Apr 18, 2024 |
Claude 3 Haiku scores 52/100 (rank #110) compared to Llama 3 8B Instruct's 50/100 (rank #112), giving it a 3-point advantage. Claude 3 Haiku is the stronger overall choice, though Llama 3 8B Instruct may excel in specific areas like cost efficiency.
Claude 3 Haiku is ranked #110 and Llama 3 8B Instruct is ranked #112 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.
Llama 3 8B Instruct is cheaper at $0.04/M output tokens vs Claude 3 Haiku's $1.25/M output tokens - 31.3x more expensive. Input token pricing: Claude 3 Haiku at $0.25/M vs Llama 3 8B Instruct at $0.03/M.
Claude 3 Haiku has a larger context window of 200,000 tokens compared to Llama 3 8B Instruct's 8,192 tokens. A larger context window means the model can process longer documents and conversations.