| Signal | Claude 3 Haiku | Delta | Llama 3 70B Instruct |
|---|---|---|---|
Capabilities | 50 | +17 | |
Benchmarks | 48 | -2 | |
Pricing | 1 | +1 | |
Context window size | 84 | +22 | |
Recency | 0 | -3 | |
Output Capacity | 60 | -5 | |
| Overall Result | 3 wins | of 6 | 3 wins |
10
days higher
3
days
17
days higher
Anthropic
Meta
Claude 3 Haiku saves you $0.50/month
That's $6.00/year compared to Llama 3 70B Instruct at your current usage level of 100K calls/month.
| Metric | Claude 3 Haiku | Llama 3 70B Instruct | Winner |
|---|---|---|---|
| Overall Score | 50 | 50 | Claude 3 Haiku |
| Rank | #111 | #112 | Claude 3 Haiku |
| Quality Rank | #111 | #112 | Claude 3 Haiku |
| Adoption Rank | #111 | #112 | Claude 3 Haiku |
| Parameters | -- | 70B | -- |
| Context Window | 200K | 8K | Claude 3 Haiku |
| Pricing | $0.25/$1.25/M | $0.51/$0.74/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 33 | Claude 3 Haiku |
| Benchmarks | 48 | 50 | Llama 3 70B Instruct |
| Pricing | 1 | 1 | Claude 3 Haiku |
| Context window size | 84 | 62 | Claude 3 Haiku |
| Recency | 0 | 3 | Llama 3 70B Instruct |
| Output Capacity | 60 | 65 | Llama 3 70B 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%). Here's what the scores mean for these two models:
Scores 50/100 (rank #111), 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 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.
Llama 3 70B Instruct offers 17% better value per quality point. At 1M tokens/day, you'd spend $18.75/month with Llama 3 70B Instruct vs $22.50/month with Claude 3 Haiku - a $3.75 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 70B 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 ($0.74/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (50/100) 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 70B Instruct are extremely close in overall performance (only 0.10000000000000142 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 70B Instruct
17% 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 70B Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
Meta
Llama 3 70B Instruct saves you $0.1440/month
That's 7% 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 70B Instruct |
|---|---|---|
| Context Window | 200K | 8K |
| Max Output Tokens | 4,096 | 8,000 |
| Open Source | No | Yes |
| Created | Mar 13, 2024 | Apr 18, 2024 |
Claude 3 Haiku scores 50/100 (rank #111) compared to Llama 3 70B Instruct's 50/100 (rank #112), giving it a 0-point advantage. Claude 3 Haiku is the stronger overall choice, though Llama 3 70B Instruct may excel in specific areas like cost efficiency.
Claude 3 Haiku is ranked #111 and Llama 3 70B 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 70B Instruct is cheaper at $0.74/M output tokens vs Claude 3 Haiku's $1.25/M output tokens - 1.7x more expensive. Input token pricing: Claude 3 Haiku at $0.25/M vs Llama 3 70B Instruct at $0.51/M.
Claude 3 Haiku has a larger context window of 200,000 tokens compared to Llama 3 70B Instruct's 8,192 tokens. A larger context window means the model can process longer documents and conversations.