GPT-5.2 Chat vs ReMM SLERP 13B
ReMM SLERP 13B costs 21.5x less per output token than GPT-5.2 Chat ($0.65 vs $14.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $14.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.65
GPT-5.2 Chat or ReMM SLERP 13B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-5.2 Chat for a larger context window (128K 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
GPT-5.2 Chat
GPT-5.2 Chat takes 128K tokens against 6K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
ReMM SLERP 13B
GPT-5.2 Chat $0.0088, ReMM SLERP 13B $0.0007 per turn.
List prices
At a glance
- Coding index
- GPT-5.2 Chat 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
- GPT-5.2 Chat $14.00 against ReMM SLERP 13B $0.65 per million output tokens, 21.5x apart.
- Context window
- GPT-5.2 Chat takes 128K 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 | OpenAI GPT-5.2 Chat | ReMM SLERP 13B |
|---|---|---|
| Maker | OpenAI | Undi95 |
| Weights | No public weights listed | Open weights |
| Released | December 10, 2025 | July 22, 2023 |
| Context window | 128K | 6K |
| Input $/Mtok | $1.75 | $0.35 |
| Output $/Mtok | $14.00 | $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 GPT-5.2 Chat better than ReMM SLERP 13B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5.2 Chat for a larger context window (128K against 6K tokens).
Which is cheaper, GPT-5.2 Chat or ReMM SLERP 13B?
GPT-5.2 Chat costs $1.75 per million input tokens and $14.00 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, GPT-5.2 Chat or ReMM SLERP 13B?
GPT-5.2 Chat, with 128K tokens against 6K.
Has any benchmark tested both GPT-5.2 Chat 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 22, 2026.