Hy-MT2-1.8B vs Inkling 2 Small
Hy-MT2-1.8B costs 5.6x less per output token than Inkling 2 Small ($0.177 vs $1.00 per million). Updated November 14, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.177
- Coding
- 48.9
- Overall
- 56.9
- Output $/M
- $1.00
Hy-MT2-1.8B or Inkling 2 Small: which to pick
Only Inkling 2 Small has a coding score, 48.9 on the Vibe Coding Index; Hy-MT2-1.8B has none, so the two cannot be ranked on coding.
Pick Hy-MT2-1.8B for output tokens 5.6x cheaper ($0.177 vs $1.00 per million).
No benchmark has tested both yet. Hy-MT2-1.8B 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 8K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy-MT2-1.8B
Hy-MT2-1.8B $0.0001, Inkling 2 Small $0.0008 per turn.
List prices
At a glance
- Coding index
- Hy-MT2-1.8B 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
- Hy-MT2-1.8B $0.177 against Inkling 2 Small $1.00 per million output tokens, 5.6x apart.
- Context window
- Hy-MT2-1.8B takes 8K 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 | Hy-MT2-1.8B | 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 | Hy-MT2-1.8B | 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 | Hy-MT2-1.8B | 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 | Hy-MT2-1.8B | 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 | Hy-MT2-1.8B | 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 | Hy-MT2-1.8B | 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 | Hy-MT2-1.8B | 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
Hy-MT2-1.8B costs less
Repository review
50K input + 3K output tokens
Hy-MT2-1.8B costs less
Agent loop
200K input + 10K output tokens
Hy-MT2-1.8B 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 Hy-MT2-1.8B | Thinking Machines Inkling 2 Small |
|---|---|---|
| Maker | Tencent | Thinking Machines |
| Weights | Open weights | Open weights |
| Released | August 20, 2026 | November 9, 2026 |
| Context window | 8K | 1.05M |
| Input $/Mtok | $0.044 | $0.30 |
| Output $/Mtok | $0.177 | $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 Hy-MT2-1.8B better than Inkling 2 Small for coding?
Only Inkling 2 Small has a coding score, 48.9 on the Vibe Coding Index; Hy-MT2-1.8B has none, so the two cannot be ranked on coding. Pick Hy-MT2-1.8B for output tokens 5.6x cheaper ($0.177 vs $1.00 per million).
Which is cheaper, Hy-MT2-1.8B or Inkling 2 Small?
Hy-MT2-1.8B costs $0.044 per million input tokens and $0.177 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, Hy-MT2-1.8B or Inkling 2 Small?
Inkling 2 Small, with 1.05M tokens against 8K.
Has any benchmark tested both Hy-MT2-1.8B and Inkling 2 Small?
No benchmark has tested both yet. Hy-MT2-1.8B 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.