Hy4 vs ReMM SLERP 13B
ReMM SLERP 13B costs 2.5x less per output token than Hy4 ($0.50 vs $1.2505 per million). Updated November 14, 2026; no benchmark has tested both models yet.
- Coding
- 65.2
- Overall
- No data
- Output $/M
- $1.2505
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.50
Hy4 or ReMM SLERP 13B: which to pick
Only Hy4 has a coding score, 65.2 on the Vibe Coding Index; ReMM SLERP 13B has none, so the two cannot be ranked on coding.
Pick ReMM SLERP 13B for output tokens 2.5x cheaper ($0.50 vs $1.2505 per million).
No benchmark has tested both yet. Hy4 has results on Terminal-Bench 4 (Vals AI), Vibe Code Bench (Vals AI) and Terminal-Bench 4.0 (Artificial Analysis run); ReMM SLERP 13B has none yet. Compare them on price and context instead.
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
Only Hy4 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Hy4 has a AA Intelligence Index result, 34.6.
Directional only
Web design
Design Arena: websites
No call
Only Hy4 has a Design Arena: websites result, 1251.
Directional only
General
Vals Index
No call
Only Hy4 has a Vals Index result, 59.4%.
Directional only
Long documents
Listed context window
Hy4
Hy4 takes 1.05M tokens against 6K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
ReMM SLERP 13B
Hy4 $0.0010, ReMM SLERP 13B $0.0006 per turn.
List prices
At a glance
- Coding index
- Hy4 65.2 from 2 benchmarks, 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
- Hy4 $1.2505 against ReMM SLERP 13B $0.50 per million output tokens, 2.5x apart.
- Context window
- Hy4 takes 1.05M 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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index6 boards measured
| Benchmark | Hy4 | ReMM SLERP 13B | Leader |
|---|---|---|---|
| Terminal-Bench 4 (Vals AI) | 39.4% | Not measured | Only Hy4 measured |
| Vibe Code Bench (Vals AI) | 81.0% | Not measured | Only Hy4 measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 37.4% | Not measured | Only Hy4 measured |
| FrontierCode 2.0 | 31.4% | Not measured | Only Hy4 measured |
| GameBench 2 | 48.7 | Not measured | Only Hy4 measured |
| Terminal-Bench 4.0 | 39.1% | Not measured | Only Hy4 measured |
| Neither model has a result on the other 46 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Hy4 | ReMM SLERP 13B | Leader |
|---|---|---|---|
| AA Intelligence Index | 34.6 | Not measured | Only Hy4 measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Hy4 | ReMM SLERP 13B | Leader |
|---|---|---|---|
| Tax Agent Bench (Vals AI) | 34.4% | Not measured | Only Hy4 measured |
| Legal Research Bench (Vals AI) | 41.4% | Not measured | Only Hy4 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 12.5% | Not measured | Only Hy4 measured |
| Neither model has a result on the other 41 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Hy4 | ReMM SLERP 13B | Leader |
|---|---|---|---|
| HLE-Diamond (Artificial Analysis run) | 32.7% | Not measured | Only Hy4 measured |
| CritPt v2, hard subset (Artificial Analysis run) | 39.0% | Not measured | Only Hy4 measured |
| Neither model has a result on the other 24 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Hy4 | ReMM SLERP 13B | Leader |
|---|---|---|---|
| AA-Omniscience | 5.4 | Not measured | Only Hy4 measured |
| Neither model has a result on the other 20 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Hy4 | ReMM SLERP 13B | Leader |
|---|---|---|---|
| Design Arena: websites | 1251 | Not measured | Only Hy4 measured |
| Design Arena: UI components | 1197 | Not measured | Only Hy4 measured |
| Design Arena: game dev | 1271 | Not measured | Only Hy4 measured |
| Design Arena: 3D | 1251 | Not measured | Only Hy4 measured |
| Design Arena: all code categories | 1254 | Not measured | Only Hy4 measured |
| Neither model has a result on the other 4 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Hy4 | ReMM SLERP 13B | Leader |
|---|---|---|---|
| Vals Index | 59.4% | Not measured | Only Hy4 measured |
| Neither model has a result on the other 48 boards here | |||
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 | Tencent Hy4 | ReMM SLERP 13B |
|---|---|---|
| Maker | Tencent | Undi95 |
| Weights | Open weights | Open weights |
| Released | November 4, 2026 | July 22, 2023 |
| Context window | 1.05M | 6K |
| Input $/Mtok | $0.417 | $0.30 |
| Output $/Mtok | $1.2505 | $0.50 |
| Coding index | 65.2 | Not benchmarked |
| Independent measurements behind it | 2 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Hy4 better than ReMM SLERP 13B for coding?
Only Hy4 has a coding score, 65.2 on the Vibe Coding Index; ReMM SLERP 13B has none, so the two cannot be ranked on coding. Pick ReMM SLERP 13B for output tokens 2.5x cheaper ($0.50 vs $1.2505 per million).
Which is cheaper, Hy4 or ReMM SLERP 13B?
Hy4 costs $0.417 per million input tokens and $1.2505 per million output tokens; ReMM SLERP 13B costs $0.30 and $0.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Hy4 or ReMM SLERP 13B?
Hy4, with 1.05M tokens against 6K.
Has any benchmark tested both Hy4 and ReMM SLERP 13B?
No benchmark has tested both yet. Hy4 has results on Terminal-Bench 4 (Vals AI), Vibe Code Bench (Vals AI) and Terminal-Bench 4.0 (Artificial Analysis run); ReMM SLERP 13B has none yet. Compare them on price and context instead. Data as of November 14, 2026.