Sakana Namazu vs ReMM SLERP 13B
ReMM SLERP 13B costs 6.2x less per output token than Sakana Namazu ($0.65 vs $4.00 per million). Updated October 23, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $4.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.65
Sakana Namazu or ReMM SLERP 13B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Sakana Namazu for a larger context window (262K against 6K 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
Sakana Namazu
Sakana Namazu takes 262K tokens against 6K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
ReMM SLERP 13B
Sakana Namazu $0.0029, ReMM SLERP 13B $0.0007 per turn.
List prices
At a glance
- Coding index
- Sakana Namazu not benchmarked, ReMM SLERP 13B 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
- Sakana Namazu $4.00 against ReMM SLERP 13B $0.65 per million output tokens, 6.2x apart.
- Context window
- Sakana Namazu takes 262K tokens, ReMM SLERP 13B 6K.
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
ReMM SLERP 13B costs less
Repository review
50K input + 3K output tokens
ReMM SLERP 13B costs less
Agent loop
200K input + 10K output tokens
ReMM SLERP 13B 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 | Sakana Namazu | ReMM SLERP 13B |
|---|---|---|
| Maker | Sakana | Undi95 |
| Weights | No public weights listed | Open weights |
| Released | August 11, 2026 | July 22, 2023 |
| Context window | 262K | 6K |
| Input $/Mtok | $0.95 | $0.35 |
| Output $/Mtok | $4.00 | $0.65 |
| 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 Sakana Namazu better than ReMM SLERP 13B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Sakana Namazu for a larger context window (262K against 6K tokens).
Which is cheaper, Sakana Namazu or ReMM SLERP 13B?
Sakana Namazu costs $0.95 per million input tokens and $4.00 per million output tokens; ReMM SLERP 13B costs $0.35 and $0.65. Cost per solved task is known for neither of them.
Which has the bigger context window, Sakana Namazu or ReMM SLERP 13B?
Sakana Namazu, with 262K tokens against 6K.
Has any benchmark tested both Sakana Namazu and ReMM SLERP 13B?
No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 23, 2026.