Thinking Machines Inkling 2 Small at launch
- Thinking Machines
- Released November 9, 2026
- 1.05M context
Thinking Machines released Inkling 2 Small on November 9, 2026. As of November 14, 2026, it ranks #63 of 118 models on the LLMBenchmark Index, between OpenAI GPT-5.6 Luna (#62) and Meta Muse Spark 1.2 (#64). Thinking Machines's own announcement reports 85 benchmark results, including Design Arena: game dev (1424) and ARC-AGI-2 (81.7%). It costs $0.30 per million input tokens and $1.00 per million output tokens on OpenRouter.
What Thinking Machines reported at launch
From “Inkling 2 Small”, November 9, 2026. The maker's own numbers, not re-run by us.
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AA-3D
1021
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AA-AnalystAgent
51.2%
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AA-Briefcase v1.1
1527
#6 of 9 models with a reported result
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AA Index v5.0
30.6
#3 of 3 models with a reported result
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AA-LCR v1.1
83.3%
#2 of 3 models with a reported result
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AA-Omniscience v1.1 non-hallucination rate
73.3%
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AA-Omniscience v1.1 score
16.1
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Apex-Accounting v1.1 pass@1
14.5%
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ARC-AGI-1
96.5%
#1 of 3 models with a reported result
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ArxivMath 10/2026
27.7%
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ATLAS-Finance v1.1
6.0%
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BabyVision original / with Python
93.6%
Show all 85
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BabyVision original / with Python
68.6%
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BioMysteryBench terminus v2
70.0%
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BrokenArxiv 10/2026
63.3%
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BrowseComp Inkling 2 Small with compaction
90.2%
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BVB
71.6%
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Chartography original / with Python
82.1%
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Chartography original / with Python
36.7%
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Charxiv RQ (original / with python)
85.6%
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Charxiv RQ (original / with python)
89.1%
#1 of 3 models with a reported result
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Code Arena (WebDev)
1653
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Code2Video-AA
1020
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ComplexConstraints v1.0
44.5%
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CritPt v2 Full / Hard
35.0%
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CritPt v2 Full / Hard
55.7%
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CyberBench v1.1
72.7%
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DAYJOB (Finance)
14.3%
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DAYJOB (Healthcare)
6.4%
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DeepFinance
29.8%
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DeepSearchQA Inkling 2 Small with compaction
90.9%
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DeepSWE v1.1 mini-swe-agent v2.4.6
72.1%
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Design Arena: game dev
1424
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DesignArena 3D Design
1457
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DesignArena Web Apps
1286
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DesignArena Website
1331
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Diligence Bench Best harness
58.1%
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DistressBench
82.0%
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EnterpriseBench-CoreCraft
71.8%
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EnterpriseOps-Gym
46.8%
#1 of 3 models with a reported result
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ARC-AGI-2
81.7%
#1 of 4 models with a reported result
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Excel Modeling Benchmark v1.1
69.5%
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Finance Agent v2.1
67.5%
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FORTRESS (adversarial)
83.8%
#1 of 3 models with a reported result
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FORTRESS (benign)
79.7%
#3 of 3 models with a reported result
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FrontierCode v2.0 stirrup v0.2.1
25.4%
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GDP.pdf
25.2%
#6 of 9 models with a reported result
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GDPval-AA 2.1
1630
#5 of 9 models with a reported result
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Global-MMLU-Lite
91.0%
#1 of 3 models with a reported result
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Harvey LAB v1.1
21.7%
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HLE-Diamond
28.7%
#1 of 2 models with a reported result
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HLE (text only)
44.1%
#1 of 3 models with a reported result
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HoneyBench v0.2 (↓)
52.6%
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Humanity’s Sixth Sense
33.3%
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JobBench
70.5
#1 of 19 models with a reported result
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Legal Research Bench
46.6%
#1 of 2 models with a reported result
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LongBench v2
70.6%
#1 of 5 models with a reported result
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MCP Atlas Full / Public
85.0%
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MCP Atlas Full / Public
85.4%
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MDPBench
81.4%
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MMMU Pro (Standard 10)
81.6%
#1 of 3 models with a reported result
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MuirBench
79.2%
#1 of 2 models with a reported result
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MysteryMechanism
25.2%
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OmniDocBench v1.6
94.6%
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PatchEval
79.6%
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PerceptionBench
64.7%
#1 of 4 models with a reported result
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PMPP-Hard (AUC, 0–10h) pi v0.83.0
494.3
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PostTrainBench v1.2 Inkling 2 Small in Claude Code
31.9%
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SAGE v1.1
88.6%
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ScreenSpot Pro original / with Python
83.8%
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ScreenSpot Pro original / with Python
92.0%
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SimpleVQA
68.2
#6 of 6 models with a reported result
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StrongREJECT (none)
97.1%
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Sudo L7
14.1%
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SWE-Atlas v1.1 mini-swe-agent v2.4.6
61.9%
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SWEBench Pro v2 (Hard) mini-swe-agent v2.4.6
86.3%
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Tau 3 Banking v1.0.1
40.4%
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Tax Agent Bench
65.8%
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Terminal Bench Science v0.1 mini-swe-agent v2.4.6
5.7%
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Vals Index v2.2
56.1%
#3 of 3 models with a reported result
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VIALS original / with stirrup v0.2.1
57.8%
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VIALS original / with stirrup v0.2.1
34.6%
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Vibe Code Bench v1.1 openhands (vals)
81.6%
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ZeroBench (main) original / with Python
44.0%
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ZeroBench (main) original / with Python
29.0%
Independent results so far
51 scores from 51 boards that test models themselves. Ranks compare Inkling 2 Small with every model on the same board.
Coding (14)
| Benchmark | Score | Rank | Setting | Source |
|---|---|---|---|---|
| SWE-Bench Pro V2 | 97.7% | #5 of 17 | — | Scale SEAL leaderboards |
| SWE-bench Multimodal (Vals AI) | 43.1% | #12 of 20 | — | Vals AI boards |
| CyberBench (Vals AI) | 72.7% | #14 of 41 | — | Vals AI boards |
| LMArena WebDev: HTML | 1661 | #14 of 104 | — | LMArena (Hugging Face dataset) |
| ProgramBench (Vals AI) | 0.5% | #18 of 61 | — | Vals AI boards |
| LMArena WebDev | 1647 | #19 of 105 | — | LMArena WebDev |
| LMArena WebDev: React | 1660 | #19 of 97 | — | LMArena (Hugging Face dataset) |
| FrontierCode 2.0 | 25.4% | #20 of 55 | — | Artificial Analysis |
Show all 14
| Vibe Code Bench (Vals AI) | 81.5% | #29 of 105 | OpenHands | Vals AI boards |
|---|---|---|---|---|
| Terminal-Bench 4 (Vals AI) | 12.6% | #40 of 57 | Mini-SWE-agent | Vals AI boards |
| Terminal-Bench 4.0 (Artificial Analysis run) | 13.1% | #41 of 111 | — | Artificial Analysis |
| SciCode | 52.3% | #43 of 109 | — | Artificial Analysis |
| LMArena Text: coding | 1455 | #66 of 151 | — | LMArena (Hugging Face dataset) |
| LMArena Text: software and IT | 1443 | #77 of 151 | — | LMArena (Hugging Face dataset) |
General (14)
| Benchmark | Score | Rank | Setting | Source |
|---|---|---|---|---|
| SAGE (Vals AI) | 88.6% | #8 of 28 | — | Vals AI boards |
| Long context reasoning (AA-LCR) | 83.3% | #14 of 176 | — | Artificial Analysis |
| GDPval-AA | 1630 | #19 of 117 | — | Artificial Analysis |
| Vals Index | 56.1% | #21 of 34 | — | Vals Index |
| LMArena Text: instruction following | 1408 | #77 of 151 | — | LMArena (Hugging Face dataset) |
| LMArena Text: English | 1418 | #86 of 151 | — | LMArena (Hugging Face dataset) |
| LMArena Text: longer queries | 1403 | #88 of 151 | — | LMArena (Hugging Face dataset) |
| LMArena Text: non-English | 1390 | #89 of 151 | — | LMArena (Hugging Face dataset) |
Show all 14
| LMArena Text: multi-turn | 1408 | #90 of 151 | — | LMArena (Hugging Face dataset) |
|---|---|---|---|---|
| LMArena Text: writing and language | 1381 | #90 of 151 | — | LMArena (Hugging Face dataset) |
| LMArena Text | 1403 | #91 of 151 | — | LMArena (Hugging Face dataset) |
| LMArena Text: entertainment and media | 1359 | #94 of 151 | — | LMArena (Hugging Face dataset) |
| LMArena Text: creative writing | 1348 | #95 of 151 | — | LMArena (Hugging Face dataset) |
| LMArena Text: Russian | 1377 | #99 of 151 | — | LMArena (Hugging Face dataset) |
Agentic work (9)
| Benchmark | Score | Rank | Setting | Source |
|---|---|---|---|---|
| Harvey's Legal Agent Benchmark (Vals AI) | 21.7% | #5 of 34 | — | Vals AI boards |
| MCP Atlas | 85.4% | #5 of 35 | — | Scale SEAL leaderboards |
| Tax Agent Bench (Vals AI) | 38.9% | #11 of 77 | — | Vals AI boards |
| BioMysteryBench (Vals AI) | 70.0% | #14 of 29 | — | Vals AI boards |
| Vals Science Index | 32.7% | #16 of 23 | — | Vals AI boards |
| Legal Research Bench (Vals AI) | 46.6% | #17 of 83 | — | Vals AI boards |
| SREBench (Vals AI) | 1.9% | #22 of 33 | — | Vals AI boards |
| Terminal-Bench-Science (Vals AI) | 2.9% | #32 of 41 | Mini-SWE-agent | Vals AI boards |
Show all 9
| APEX-Agents | 46.8% | #39 of 59 | — | Epoch AI benchmarking hub |
|---|
Reasoning (9)
| Benchmark | Score | Rank | Setting | Source |
|---|---|---|---|---|
| ARC-AGI | 96.5% | #13 of 75 | xHigh | Epoch AI benchmarking hub |
| MysteryMechanism (Vals AI) | 25.2% | #16 of 28 | — | Vals AI boards |
| ARC-AGI-2 | 81.7% | #19 of 76 | xHigh | Epoch AI benchmarking hub |
| HLE-Diamond (Artificial Analysis run) | 28.7% | #21 of 74 | — | Artificial Analysis |
| CritPt v2, hard subset (Artificial Analysis run) | 35.0% | #27 of 56 | — | Artificial Analysis |
| Humanity's Last Exam (Artificial Analysis run) | 44.1% | #28 of 187 | — | Artificial Analysis |
| LMArena Text: expert | 1478 | #44 of 150 | — | LMArena (Hugging Face dataset) |
| LMArena Text: hard prompts | 1421 | #85 of 151 | — | LMArena (Hugging Face dataset) |
Show all 9
| LMArena Text: hard prompts in English | 1424 | #87 of 151 | — | LMArena (Hugging Face dataset) |
|---|
Knowledge (3)
| Benchmark | Score | Rank | Setting | Source |
|---|---|---|---|---|
| AA-Omniscience | 16.1 | #21 of 58 | — | Artificial Analysis |
| LMArena Text: business and finance | 1415 | #75 of 151 | — | LMArena (Hugging Face dataset) |
| LMArena Text: science | 1409 | #97 of 151 | — | LMArena (Hugging Face dataset) |
Intelligence (1)
| Benchmark | Score | Rank | Setting | Source |
|---|---|---|---|---|
| AA Intelligence Index | 30.6 | #23 of 55 | — | Artificial Analysis (via OpenRouter) |