Relace Apply 3 vs Llama 3 8B Lunaris
Llama 3 8B Lunaris costs 25.0x less per output token than Relace Apply 3 ($0.05 vs $1.25 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.25
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.05
Relace Apply 3 or Llama 3 8B Lunaris: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Relace Apply 3 for a larger context window (256K against 8K tokens).
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
Relace Apply 3
Relace Apply 3 takes 256K tokens against 8K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 3 8B Lunaris
Relace Apply 3 $0.0015, Llama 3 8B Lunaris $0.0001 per turn.
List prices
At a glance
- Coding index
- Relace Apply 3 not benchmarked, Llama 3 8B Lunaris 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
- Relace Apply 3 $1.25 against Llama 3 8B Lunaris $0.05 per million output tokens, 25.0x apart.
- Context window
- Relace Apply 3 takes 256K tokens, Llama 3 8B Lunaris 8K.
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 | Relace Apply 3 | Sao10K Llama 3 8B Lunaris |
|---|---|---|
| Maker | Relace | Sao10K |
| Weights | No public weights listed | Open weights |
| Released | September 26, 2025 | August 13, 2024 |
| Context window | 256K | 8K |
| Input $/Mtok | $0.85 | $0.04 |
| Output $/Mtok | $1.25 | $0.05 |
| 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 Relace Apply 3 better than Llama 3 8B Lunaris for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Relace Apply 3 for a larger context window (256K against 8K tokens).
Which is cheaper, Relace Apply 3 or Llama 3 8B Lunaris?
Relace Apply 3 costs $0.85 per million input tokens and $1.25 per million output tokens; Llama 3 8B Lunaris costs $0.04 and $0.05. Cost per solved task is known for neither of them.
Which has the bigger context window, Relace Apply 3 or Llama 3 8B Lunaris?
Relace Apply 3, with 256K tokens against 8K.
Has any benchmark tested both Relace Apply 3 and Llama 3 8B Lunaris?
No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 22, 2026.