Key Takeaways
Llama 3 8B Lunaris wins:
- Cheaper input tokens
- Cheaper output tokens
- Higher intelligence benchmark
Llama 3.1 70B Hanami x1 wins:
- Larger context window
Price Advantage
Llama 3 8B Lunaris
Benchmark Advantage
Llama 3 8B Lunaris
Context Window
Llama 3.1 70B Hanami x1
Speed
N/A
Pricing Comparison
Price Comparison
| Metric | Llama 3 8B Lunaris | Llama 3.1 70B Hanami x1 | Winner |
|---|---|---|---|
| Input (per 1M tokens) | $0.04 | $3.00 | Llama 3 8B Lunaris |
| Output (per 1M tokens) | $0.05 | $3.00 | Llama 3 8B Lunaris |
Using a 3:1 input/output ratio, Llama 3 8B Lunaris is 99% cheaper overall.
Llama 3 8B Lunaris Providers
DeepInfra $0.04 (Cheapest)
Novita $0.05
Llama 3.1 70B Hanami x1 Providers
Infermatic $3.00 (Cheapest)
Benchmark Comparison
4
Benchmarks Compared
0
Llama 3 8B Lunaris Wins
0
Llama 3.1 70B Hanami x1 Wins
Benchmark Scores
| Benchmark | Llama 3 8B Lunaris | Llama 3.1 70B Hanami x1 | Winner |
|---|---|---|---|
Intelligence Index Overall intelligence score | 25.6 | - | - |
MMLU Pro Academic knowledge | 31.0 | - | - |
GPQA Graduate-level science | 6.8 | - | - |
BBH Big-Bench Hard | 32.1 | - | - |
Both models show comparable benchmark performance.
Cost vs Quality
X-axis:
Y-axis:
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Llama 3 8B Lunaris
Other models
Context & Performance
Context Window
Llama 3 8B Lunaris
8,192
tokens
Llama 3.1 70B Hanami x1
16,000
tokens
Llama 3.1 70B Hanami x1 has a 49% larger context window.
Speed Performance
Speed benchmarks not available for these models
Capabilities
Feature Comparison
| Feature | Llama 3 8B Lunaris | Llama 3.1 70B Hanami x1 |
|---|---|---|
| Vision (Image Input) | ||
| Tool/Function Calls | ||
| Reasoning Mode | ||
| Audio Input | ||
| Audio Output | ||
| PDF Input | ||
| Prompt Caching | ||
| Web Search |
License & Release
| Property | Llama 3 8B Lunaris | Llama 3.1 70B Hanami x1 |
|---|---|---|
| License | Open Source | Open Source |
| Author | Sao10k | Sao10k |
| Released | Aug 2024 | Jan 2025 |
Llama 3 8B Lunaris Modalities
Input
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Output
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Llama 3.1 70B Hanami x1 Modalities
Input
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Output
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