Relace Apply 3 vs Inkling 2 Small
Inkling 2 Small costs 1.3x less per output token than Relace Apply 3 ($1.00 vs $1.25 per million). Updated November 14, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.25
- Coding
- 48.9
- Overall
- 56.9
- Output $/M
- $1.00
Relace Apply 3 or Inkling 2 Small: which to pick
Only Inkling 2 Small has a coding score, 48.9 on the Vibe Coding Index; Relace Apply 3 has none, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
No benchmark has tested both yet. Relace Apply 3 has none yet; Inkling 2 Small on LMArena WebDev, Terminal-Bench 4 (Vals AI) and Vibe Code Bench (Vals AI). 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 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling 2 Small
Relace Apply 3 $0.0015, Inkling 2 Small $0.0008 per turn.
List prices
At a glance
- Coding index
- Relace Apply 3 not benchmarked, Inkling 2 Small 48.9 from 3 benchmarks.
- 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 Inkling 2 Small $1.00 per million output tokens, 1.3x apart.
- Context window
- Relace Apply 3 takes 256K tokens, Inkling 2 Small 1.05M.
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 | Relace Apply 3 | Inkling 2 Small | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1647 | Only Inkling 2 Small measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 12.6% | Only Inkling 2 Small measured |
| Vibe Code Bench (Vals AI) | Not measured | 81.5% | Only Inkling 2 Small measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only Inkling 2 Small measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 43.1% | Only Inkling 2 Small measured |
| CyberBench (Vals AI) | Not measured | 72.7% | Only Inkling 2 Small measured |
| SciCode | Not measured | 52.3% | Only Inkling 2 Small measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | Not measured | 13.1% | Only Inkling 2 Small measured |
| FrontierCode 2.0 | Not measured | 25.4% | Only Inkling 2 Small measured |
| LMArena Text: coding | Not measured | 1455 | Only Inkling 2 Small measured |
| LMArena Text: software and IT | Not measured | 1443 | Only Inkling 2 Small measured |
| LMArena WebDev: React | Not measured | 1660 | Only Inkling 2 Small measured |
| LMArena WebDev: HTML | Not measured | 1661 | Only Inkling 2 Small measured |
| SWE-Bench Pro V2 | Not measured | 97.7% | 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 | Relace Apply 3 | Inkling 2 Small | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 30.6 | 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 | Relace Apply 3 | Inkling 2 Small | Leader |
|---|---|---|---|
| SREBench (Vals AI) | Not measured | 1.9% | Only Inkling 2 Small measured |
| Tax Agent Bench (Vals AI) | Not measured | 38.9% | Only Inkling 2 Small measured |
| Legal Research Bench (Vals AI) | Not measured | 46.6% | Only Inkling 2 Small measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 21.7% | Only Inkling 2 Small measured |
| BioMysteryBench (Vals AI) | Not measured | 70.0% | Only Inkling 2 Small measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 2.9% | Only Inkling 2 Small measured |
| Vals Science Index | Not measured | 32.7% | Only Inkling 2 Small measured |
| APEX-Agents | Not measured | 46.8% | Only Inkling 2 Small measured |
| MCP Atlas | Not measured | 85.4% | 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 | Relace Apply 3 | Inkling 2 Small | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | Not measured | 25.2% | Only Inkling 2 Small measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 44.1% | Only Inkling 2 Small measured |
| HLE-Diamond (Artificial Analysis run) | Not measured | 28.7% | Only Inkling 2 Small measured |
| CritPt v2, hard subset (Artificial Analysis run) | Not measured | 35.0% | Only Inkling 2 Small measured |
| ARC-AGI | Not measured | 96.5% | Only Inkling 2 Small measured |
| ARC-AGI-2 | Not measured | 81.7% | Only Inkling 2 Small measured |
| LMArena Text: hard prompts | Not measured | 1421 | Only Inkling 2 Small measured |
| LMArena Text: expert | Not measured | 1478 | Only Inkling 2 Small measured |
| LMArena Text: hard prompts in English | Not measured | 1424 | 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 | Relace Apply 3 | Inkling 2 Small | Leader |
|---|---|---|---|
| MathArena | Not measured | 42.4% | 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 | Relace Apply 3 | Inkling 2 Small | Leader |
|---|---|---|---|
| AA-Omniscience | Not measured | 16.1 | Only Inkling 2 Small measured |
| LMArena Text: science | Not measured | 1409 | Only Inkling 2 Small measured |
| LMArena Text: business and finance | Not measured | 1415 | 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 | Relace Apply 3 | Inkling 2 Small | Leader |
|---|---|---|---|
| Vals Index | Not measured | 56.1% | Only Inkling 2 Small measured |
| SAGE (Vals AI) | Not measured | 88.6% | Only Inkling 2 Small measured |
| Long context reasoning (AA-LCR) | Not measured | 83.3% | Only Inkling 2 Small measured |
| GDPval-AA | Not measured | 1630 | Only Inkling 2 Small measured |
| LMArena Text | Not measured | 1403 | Only Inkling 2 Small measured |
| LMArena Text: instruction following | Not measured | 1408 | Only Inkling 2 Small measured |
| LMArena Text: creative writing | Not measured | 1348 | Only Inkling 2 Small measured |
| LMArena Text: English | Not measured | 1418 | Only Inkling 2 Small measured |
| LMArena Text: non-English | Not measured | 1390 | Only Inkling 2 Small measured |
| LMArena Text: Russian | Not measured | 1377 | Only Inkling 2 Small measured |
| LMArena Text: multi-turn | Not measured | 1408 | Only Inkling 2 Small measured |
| LMArena Text: longer queries | Not measured | 1403 | Only Inkling 2 Small measured |
| LMArena Text: writing and language | Not measured | 1381 | Only Inkling 2 Small measured |
| LMArena Text: entertainment and media | Not measured | 1359 | 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
Inkling 2 Small costs less
Repository review
50K input + 3K output tokens
Inkling 2 Small costs less
Agent loop
200K input + 10K output tokens
Inkling 2 Small 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 | Thinking Machines Inkling 2 Small |
|---|---|---|
| Maker | Relace | Thinking Machines |
| Weights | No public weights listed | Open weights |
| Released | September 26, 2025 | November 9, 2026 |
| Context window | 256K | 1.05M |
| Input $/Mtok | $0.85 | $0.30 |
| Output $/Mtok | $1.25 | $1.00 |
| Coding index | Not benchmarked | 48.9 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Relace Apply 3 better than Inkling 2 Small for coding?
Only Inkling 2 Small has a coding score, 48.9 on the Vibe Coding Index; Relace Apply 3 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Relace Apply 3 or Inkling 2 Small?
Relace Apply 3 costs $0.85 per million input tokens and $1.25 per million output tokens; Inkling 2 Small costs $0.30 and $1.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Relace Apply 3 or Inkling 2 Small?
Inkling 2 Small, with 1.05M tokens against 256K.
Has any benchmark tested both Relace Apply 3 and Inkling 2 Small?
No benchmark has tested both yet. Relace Apply 3 has none yet; Inkling 2 Small on LMArena WebDev, Terminal-Bench 4 (Vals AI) and Vibe Code Bench (Vals AI). Compare them on price and context instead. Data as of November 14, 2026.