Llama 3 8B Lunaris vs Cydonia 24B V4.1
Llama 3 8B Lunaris costs 10.0x less per output token than Cydonia 24B V4.1 ($0.05 vs $0.50 per million). Updated October 23, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.05
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.50
Llama 3 8B Lunaris or Cydonia 24B V4.1: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Llama 3 8B Lunaris for output tokens 10.0x cheaper ($0.05 vs $0.50 per million).
No benchmark has tested either model yet, so price and context are the only way to compare them.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
Cydonia 24B V4.1
Cydonia 24B V4.1 takes 131K tokens against 8K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 3 8B Lunaris
Llama 3 8B Lunaris $0.0001, Cydonia 24B V4.1 $0.0006 per turn.
List prices
At a glance
- Coding index
- Llama 3 8B Lunaris not benchmarked, Cydonia 24B V4.1 not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Llama 3 8B Lunaris $0.05 against Cydonia 24B V4.1 $0.50 per million output tokens, 10.0x apart.
- Context window
- Llama 3 8B Lunaris takes 8K tokens, Cydonia 24B V4.1 131K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Llama 3 8B Lunaris costs less
Repository review
50K input + 3K output tokens
Llama 3 8B Lunaris costs less
Agent loop
200K input + 10K output tokens
Llama 3 8B Lunaris costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Sao10K Llama 3 8B Lunaris | TheDrummer Cydonia 24B V4.1 |
|---|---|---|
| Maker | Sao10K | TheDrummer |
| Weights | Open weights | Open weights |
| Released | August 13, 2024 | September 27, 2025 |
| Context window | 8K | 131K |
| Input $/Mtok | $0.04 | $0.30 |
| Output $/Mtok | $0.05 | $0.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Llama 3 8B Lunaris better than Cydonia 24B V4.1 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Llama 3 8B Lunaris for output tokens 10.0x cheaper ($0.05 vs $0.50 per million).
Which is cheaper, Llama 3 8B Lunaris or Cydonia 24B V4.1?
Llama 3 8B Lunaris costs $0.04 per million input tokens and $0.05 per million output tokens; Cydonia 24B V4.1 costs $0.30 and $0.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Llama 3 8B Lunaris or Cydonia 24B V4.1?
Cydonia 24B V4.1, with 131K tokens against 8K.
Has any benchmark tested both Llama 3 8B Lunaris and Cydonia 24B V4.1?
No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 23, 2026.