| Signal | Anthropic Claude Haiku Latest | Delta | Llama 3.1 8B Instruct |
|---|---|---|---|
Capabilities | 100 | +50 | |
Pricing | 95 | -5 | |
Context window size | 84 | +17 | |
Recency | 100 | +87 | |
Output Capacity | 80 | +10 | |
Benchmarks | 0 | -44 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
40
current score
Llama 3.1 8B Instruct
right now
43.8
current score
~anthropic
Meta
Llama 3.1 8B Instruct saves you $345.50/month
That's $4146.00/year compared to Anthropic Claude Haiku Latest at your current usage level of 100K calls/month.
| Metric | Anthropic Claude Haiku Latest | Llama 3.1 8B Instruct | Winner |
|---|---|---|---|
| Overall Score | 40 | 44 | Llama 3.1 8B Instruct |
| Rank | #191 | #179 | Llama 3.1 8B Instruct |
| Quality Rank | #191 | #179 | Llama 3.1 8B Instruct |
| Adoption Rank | #191 | #179 | Llama 3.1 8B Instruct |
| Parameters | -- | 8B | -- |
| Context Window | 200K | 16K | Anthropic Claude Haiku Latest |
| Pricing | $1.00/$5.00/M | $0.02/$0.05/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | Anthropic Claude Haiku Latest |
| Pricing | 95 | 100 | Llama 3.1 8B Instruct |
| Context window size | 84 | 67 | Anthropic Claude Haiku Latest |
| Recency | 100 | 13 | Anthropic Claude Haiku Latest |
| Output Capacity | 80 | 70 | Anthropic Claude Haiku Latest |
| Benchmarks | -- | 44 | Llama 3.1 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 40/100 (rank #191), placing it in the top 34% of all 290 models tracked.
Scores 44/100 (rank #179), placing it in the top 39% of all 290 models tracked.
With only a 4-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 99% better value per quality point. At 1M tokens/day, you'd spend $1.05/month with Llama 3.1 8B Instruct vs $90.00/month with Anthropic Claude Haiku Latest - a $88.95 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 3.1 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 ($0.05/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (44/100) 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
Llama 3.1 8B Instruct has a moderate advantage with a 3.799999999999997-point lead in composite score. It wins on more signal dimensions, but Anthropic Claude Haiku Latest has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Anthropic Claude Haiku Latest
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.1 8B Instruct
99% lower pricing; better value at scale
Best for Reliability
Anthropic Claude Haiku Latest
Higher uptime and faster response speeds
Best for Prototyping
Anthropic Claude Haiku Latest
Stronger community support and better developer experience
Best for Production
Anthropic Claude Haiku Latest
Wider enterprise adoption and proven at scale
by ~anthropic
| Capability | Anthropic Claude Haiku Latest | Llama 3.1 8B Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
~anthropic
Meta
Llama 3.1 8B Instruct saves you $7.70/month
That's 99% cheaper than Anthropic Claude Haiku Latest 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 | Anthropic Claude Haiku Latest | Llama 3.1 8B Instruct |
|---|---|---|
| Context Window | 200K | 16K |
| Max Output Tokens | 64,000 | 16,384 |
| Open Source | No | Yes |
| Created | Apr 27, 2026 | Jul 23, 2024 |