Inkling

Inkling is an open-weight model from Thinking Machines, released July 15, 2026. It ranks #46 of 48 models on the Vals Index with 28.67%. Its best result is #28 of 109 on MedScribe.

Release Date: Jul 15, 2026

Developer Thinking Machines ย ๐Ÿ‡บ๐Ÿ‡ธ
Context Window 256k
Max Output Tokens 256k
Token Costs (in/out) $1.00/4.05
Weights Open
Input Modalities

Accuracy

28.67 % ยฑ 1.10

Cost / Test (Vals Index)

$ 1.463

Latency

20 min 7 s

Vals Index
BenchmarksAccuracyRankings

28.67%

ยฑ1.10
46/48

11.79%

ยฑ3.40
62/77

66.79%

ยฑ5.95
30/47

38.36%

ยฑ3.27
59/74

46.60%

ยฑ0.93
52/78

28.36%

ยฑ3.13
49/78

41.19%

ยฑ2.23
56/107

85.41%

ยฑ1.84
28/109

63.99%

ยฑ0.94
51/98

0.00%

ยฑ0.00
49/50

36.55%

ยฑ3.22
66/91

58.46%

ยฑ1.28
36/50

0.00%

ยฑ0.00
35/35

15.29%

ยฑ2.42
50/69

75.31%

ยฑ0.84
20/145

7.33%

ยฑ1.84
24/25

19.21%

ยฑ3.66
83/112

2.08%

ยฑ0.83
48/79

87.12%

ยฑ1.78
40/138

14.94%

ยฑ5.40
42/44

85.52%

ยฑ1.00
32/143

82.95%

ยฑ0.50
64/151

86.30%

ยฑ0.34
43/138

78.50%

ยฑ0.99
51/93

0.00%

ยฑ0.00
61/64

26.09%

ยฑ3.86
34/35

77.60%

ยฑ1.87
34/88

0.51%

ยฑ0.51
45/48
Proprietary BenchmarksAcademic BenchmarksIndustry Partners
Vals
Default Provider : Thinkingmachines
Temperature: 1
Top P: 1
Top K: Default
Max Output Tokens: 256,000
Reasoning Effort: 0.99

Compared with

Updates

Jul 15, 2026

We evaluated Thinking Machinesโ€™ first open-weights model, Inkling, on the Vals Index.

  • Inkling scores 34.10% on the Vals Index, placing #30 of 43 models overall and #9 among open-weight models.

  • Its strongest component results include 75.49% on the SWE-bench Verified Vals Index subset and 69.23% on the CorpFin v2 Vals Index subset. It also scores 45.97% on the Finance Agent v2 Index subset.

  • Inkling scores 13.28% on the Vibe Code Bench Vals Index subset and 47.57% across three full trials of Terminal-Bench 2.1.

We used Thinking Machinesโ€™ recommended evaluation settings: temperature 1, top-p 1, up to 256k output tokens, separate reasoning enabled, and reasoning effort set to "0.99". Inkling supports a 256k context window, image inputs, and tool calling.

Congrats to the Thinking Machines team on the release!