Inkling 2 Small vs ReMM SLERP 13B
ReMM SLERP 13B costs 2.0x less per output token than Inkling 2 Small ($0.50 vs $1.00 per million). Updated November 14, 2026; no benchmark has tested both models yet.
- Coding
- 48.9
- Overall
- 56.9
- Output $/M
- $1.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.50
Inkling 2 Small or ReMM SLERP 13B: which to pick
Only Inkling 2 Small has a coding score, 48.9 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 2.0x cheaper ($0.50 vs $1.00 per million).
No benchmark has tested both yet. Inkling 2 Small has results on LMArena WebDev, Terminal-Bench 4 (Vals AI) and Vibe Code Bench (Vals AI); 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 Inkling 2 Small has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Inkling 2 Small has a AA Intelligence Index result, 30.6.
Directional only
General
Vals Index
No call
Only Inkling 2 Small has a Vals Index result, 56.1%.
Directional only
Long documents
Listed context window
Inkling 2 Small
Inkling 2 Small takes 1.05M tokens against 6K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
ReMM SLERP 13B
Inkling 2 Small $0.0008, ReMM SLERP 13B $0.0006 per turn.
List prices
At a glance
- Coding index
- Inkling 2 Small 48.9 from 3 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
- Inkling 2 Small $1.00 against ReMM SLERP 13B $0.50 per million output tokens, 2.0x apart.
- Context window
- Inkling 2 Small 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 Index14 boards measured
| Benchmark | Inkling 2 Small | ReMM SLERP 13B | Leader |
|---|---|---|---|
| LMArena WebDev | 1647 | Not measured | Only Inkling 2 Small measured |
| Terminal-Bench 4 (Vals AI) | 12.6% | Not measured | Only Inkling 2 Small measured |
| Vibe Code Bench (Vals AI) | 81.5% | Not measured | Only Inkling 2 Small measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Inkling 2 Small measured |
| SWE-bench Multimodal (Vals AI) | 43.1% | Not measured | Only Inkling 2 Small measured |
| CyberBench (Vals AI) | 72.7% | Not measured | Only Inkling 2 Small measured |
| SciCode | 52.3% | Not measured | Only Inkling 2 Small measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 13.1% | Not measured | Only Inkling 2 Small measured |
| FrontierCode 2.0 | 25.4% | Not measured | Only Inkling 2 Small measured |
| LMArena Text: coding | 1455 | Not measured | Only Inkling 2 Small measured |
| LMArena Text: software and IT | 1443 | Not measured | Only Inkling 2 Small measured |
| LMArena WebDev: React | 1660 | Not measured | Only Inkling 2 Small measured |
| LMArena WebDev: HTML | 1661 | Not measured | Only Inkling 2 Small measured |
| SWE-Bench Pro V2 | 97.7% | Not measured | Only Inkling 2 Small measured |
| Neither model has a result on the other 38 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Inkling 2 Small | ReMM SLERP 13B | Leader |
|---|---|---|---|
| AA Intelligence Index | 30.6 | Not measured | Only Inkling 2 Small measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
| Benchmark | Inkling 2 Small | ReMM SLERP 13B | Leader |
|---|---|---|---|
| SREBench (Vals AI) | 1.9% | Not measured | Only Inkling 2 Small measured |
| Tax Agent Bench (Vals AI) | 38.9% | Not measured | Only Inkling 2 Small measured |
| Legal Research Bench (Vals AI) | 46.6% | Not measured | Only Inkling 2 Small measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 21.7% | Not measured | Only Inkling 2 Small measured |
| BioMysteryBench (Vals AI) | 70.0% | Not measured | Only Inkling 2 Small measured |
| Terminal-Bench-Science (Vals AI) | 2.9% | Not measured | Only Inkling 2 Small measured |
| Vals Science Index | 32.7% | Not measured | Only Inkling 2 Small measured |
| APEX-Agents | 46.8% | Not measured | Only Inkling 2 Small measured |
| MCP Atlas | 85.4% | Not measured | Only Inkling 2 Small measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
| Benchmark | Inkling 2 Small | ReMM SLERP 13B | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | 25.2% | Not measured | Only Inkling 2 Small measured |
| Humanity's Last Exam (Artificial Analysis run) | 44.1% | Not measured | Only Inkling 2 Small measured |
| HLE-Diamond (Artificial Analysis run) | 28.7% | Not measured | Only Inkling 2 Small measured |
| CritPt v2, hard subset (Artificial Analysis run) | 35.0% | Not measured | Only Inkling 2 Small measured |
| ARC-AGI | 96.5% | Not measured | Only Inkling 2 Small measured |
| ARC-AGI-2 | 81.7% | Not measured | Only Inkling 2 Small measured |
| LMArena Text: hard prompts | 1421 | Not measured | Only Inkling 2 Small measured |
| LMArena Text: expert | 1478 | Not measured | Only Inkling 2 Small measured |
| LMArena Text: hard prompts in English | 1424 | Not measured | Only Inkling 2 Small measured |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Inkling 2 Small | ReMM SLERP 13B | Leader |
|---|---|---|---|
| MathArena | 42.4% | Not measured | Only Inkling 2 Small measured |
| Neither model has a result on the other 13 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Inkling 2 Small | ReMM SLERP 13B | Leader |
|---|---|---|---|
| AA-Omniscience | 16.1 | Not measured | Only Inkling 2 Small measured |
| LMArena Text: science | 1409 | Not measured | Only Inkling 2 Small measured |
| LMArena Text: business and finance | 1415 | Not measured | Only Inkling 2 Small measured |
| Neither model has a result on the other 18 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index14 boards measured
| Benchmark | Inkling 2 Small | ReMM SLERP 13B | Leader |
|---|---|---|---|
| Vals Index | 56.1% | Not measured | Only Inkling 2 Small measured |
| SAGE (Vals AI) | 88.6% | Not measured | Only Inkling 2 Small measured |
| Long context reasoning (AA-LCR) | 83.3% | Not measured | Only Inkling 2 Small measured |
| GDPval-AA | 1630 | Not measured | Only Inkling 2 Small measured |
| LMArena Text | 1403 | Not measured | Only Inkling 2 Small measured |
| LMArena Text: instruction following | 1408 | Not measured | Only Inkling 2 Small measured |
| LMArena Text: creative writing | 1348 | Not measured | Only Inkling 2 Small measured |
| LMArena Text: English | 1418 | Not measured | Only Inkling 2 Small measured |
| LMArena Text: non-English | 1390 | Not measured | Only Inkling 2 Small measured |
| LMArena Text: Russian | 1377 | Not measured | Only Inkling 2 Small measured |
| LMArena Text: multi-turn | 1408 | Not measured | Only Inkling 2 Small measured |
| LMArena Text: longer queries | 1403 | Not measured | Only Inkling 2 Small measured |
| LMArena Text: writing and language | 1381 | Not measured | Only Inkling 2 Small measured |
| LMArena Text: entertainment and media | 1359 | Not measured | Only Inkling 2 Small measured |
| Neither model has a result on the other 35 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 | Thinking Machines Inkling 2 Small | ReMM SLERP 13B |
|---|---|---|
| Maker | Thinking Machines | Undi95 |
| Weights | Open weights | Open weights |
| Released | November 9, 2026 | July 22, 2023 |
| Context window | 1.05M | 6K |
| Input $/Mtok | $0.30 | $0.30 |
| Output $/Mtok | $1.00 | $0.50 |
| Coding index | 48.9 | Not benchmarked |
| Independent measurements behind it | 3 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Inkling 2 Small better than ReMM SLERP 13B for coding?
Only Inkling 2 Small has a coding score, 48.9 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 2.0x cheaper ($0.50 vs $1.00 per million).
Which is cheaper, Inkling 2 Small or ReMM SLERP 13B?
Inkling 2 Small costs $0.30 per million input tokens and $1.00 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, Inkling 2 Small or ReMM SLERP 13B?
Inkling 2 Small, with 1.05M tokens against 6K.
Has any benchmark tested both Inkling 2 Small and ReMM SLERP 13B?
No benchmark has tested both yet. Inkling 2 Small has results on LMArena WebDev, Terminal-Bench 4 (Vals AI) and Vibe Code Bench (Vals AI); ReMM SLERP 13B has none yet. Compare them on price and context instead. Data as of November 14, 2026.