Anthropic Claude 3.5 Haiku vs Meta Llama 3.1 405B
AI Matrix
Powered by Claude AIAnthropic Claude 3.5 Haiku and Meta Llama 3.1 405B are closely matched ai language models devices with nearly identical overall scores (6.5 vs 6.2). The best choice depends on which specific features matter most to you.
Comparación de especificaciones
Anthropic Claude 3.5 HaikuMeta Llama 3.1 405B
Desglose de puntuación
Anthropic Claude 3.5 HaikuMeta Llama 3.1 405B
9.6
Cost Efficiency20% weight
10.0Empate
7.7
Benchmark (MMLU)30% weight
8.2Empate
3.9
Arena ELO20% weight
4.4Empate
1.9
Context Window10% weight
1.2Anthropic Claude 3.5 Haiku Ganador
5.7
Speed (tok/s)10% weight
0.4Anthropic Claude 3.5 Haiku Ganador
7.0
Coding (HumanEval)10% weight
7.3Empate
Scores are relative within the ai language modelscategory. Percentages show each dimension's weight in the overall score. A difference of less than 0.5 points is considered a tie.
Anthropic Claude 3.5 Haiku
✓ Pros
- ●Better display quality
- ●Superior battery life
Meta Llama 3.1 405B
✓ Pros
- ●Better build and design
✗ Cons
- ●Shorter battery life
- ●Lower display score
💰 Token Pricing (per 1M tokens)
Lower cost = better value. Free = open-source self-hosted.
| Metric | 3.5 Haiku | 3.1 405B |
|---|---|---|
| Input (Prompt) | $0.80/1M | ✓Free/1M |
| Output (Completion) | $4.00/1M | ✓Free/1M |
| Open Source | Proprietary | ✓ Free |
⚡ Context Window & Speed
Context Window (tokens)
3.5 Haiku200K
3.1 405B128K
| Metric | 3.5 Haiku | 3.1 405B |
|---|---|---|
| Max Output | ✓8,192 tok | 4,096 tok |
| Speed | ✓180 tok/s | 30 tok/s |
| Time to First Token | ✓350ms | 1.5s |
| Languages | ✓50+ | 8+ |
📊 Benchmark Scores
Higher is better. Industry-standard AI evaluation benchmarks.
3.5 Haiku
3.1 405B
MMLU (Knowledge)
87.1|88.6
3.5 Haiku
3.1 405B
HumanEval (Coding)
88.2|89.0
3.5 Haiku
3.1 405B
MATH (Mathematics)
69.2|73.8
3.5 Haiku
3.1 405B
GPQA (Expert Q&A)
41.6|51.1
3.5 Haiku
3.1 405B
Chatbot Arena ELO
1255.0|1270.0
3.5 Haiku
3.1 405B
🔧 Capabilities
| Feature | 3.5 Haiku | 3.1 405B |
|---|---|---|
| Reasoning / Chain-of-Thought | ✕ | ✕ |
| Vision (Image Input) | ✓ | ✕ |
| Audio Input | ✕ | ✕ |
| Video Input | ✕ | ✕ |
| Image/Audio Output | ✕ | ✕ |
| Function Calling / Tools | ✓ | ✓ |
| JSON Mode | ✓ | ✓ |
| Real-time Web Access | ✕ | ✕ |
| Fine-tuning Support | ✕ | ✓ |
| Batch API | ✓ | ✓ |
| Streaming | ✓ | ✓ |
| Open Source | ✕ | ✓ |
ℹ️ Model Details
| Field | 3.5 Haiku | 3.1 405B |
|---|---|---|
| Provider | Anthropic | Meta |
| Parameters | — | 405B |
| Knowledge Cutoff | 2024-07 | 2023-12 |
| License | Commercial | Llama 3.1 Community |
| Best For | fast taskshigh volumecost efficiencycoding | open sourceself hostingfine tuningenterprise privacy |
Quién debería comprar
Buy Anthropic Claude 3.5 Haiku if…
The Anthropic Claude 3.5 Haiku is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.
Buy Meta Llama 3.1 405B if…
The Meta Llama 3.1 405B is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.
Anthropic Claude 3.5 Haiku vs Meta Llama 3.1 405B — FAQ
Anthropic Claude 3.5 Haiku vs Meta Llama 3.1 405B: which is better?
Anthropic Claude 3.5 Haiku and Meta Llama 3.1 405B are closely matched ai language models devices with nearly identical overall scores (6.5 vs 6.2). The best choice depends on which specific features matter most to you.
Is Anthropic Claude 3.5 Haiku better than Meta Llama 3.1 405B?
Both products score similarly — it depends on your priorities.
Which is cheaper, Anthropic Claude 3.5 Haiku or Meta Llama 3.1 405B?
Check the latest prices using the buy links above.
Who should buy the Anthropic Claude 3.5 Haiku?
The Anthropic Claude 3.5 Haiku is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.
Who should buy the Meta Llama 3.1 405B?
The Meta Llama 3.1 405B is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.
