Thinking Machines Lab, released Jul 15, 2026
Inklingprice, context, benchmarks and release details
- Input, per 1M tokens
- not yet reported
- Output, per 1M tokens
- not yet reported
- Context window
- 1Mmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Max output
- 1Mmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Released
- Jul 15, 2026models.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗
How the score breaks down
Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 05:13 UTC.
Around it on the leaderboard
- 26 Claude Opus 4.8 67.5
- 27 Grok 4.6 66.6
- 28 Inkling 66.5
- 29 Qwen3.6 Max Preview 66.4
- 30 GLM-5.3-Flash 66.2
Benchmark results
25 benchmarks, 25 resultsEach row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.
Open source ↗ 90.6
Open source ↗ 79.5
Open source ↗ 37.8
Open source ↗ 36.5
Open source ↗ 88.3
Open source ↗ 91.2
Open source ↗ 69.9
Open source ↗ 66.0
Open source ↗ 94.0
Open source ↗ 65.4
Open source ↗ 88.0
Open source ↗ 4.9
Open source ↗ 33.3
Open source ↗ 99.0
Open source ↗ 97.1
Open source ↗ 72.0
Open source ↗ 85.4
Open source ↗ 60.5
Open source ↗ 88.9
Open source ↗ 67.4
Open source ↗ 74.6
Open source ↗ 68.2
Open source ↗ 50.0
Open source ↗ 30.0
Open source ↗ 77.0
Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.
Details and sources
- Open weights
- Yesmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - License
- Apache-2.0models.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Input modalities
- text, image, audiomodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - First seen by SuperIndex
- Oct 8, 2026
- Coverage
- 100% of expected source weight
Reported (4)
- ARC PrizeOct 8, 2026
- Epoch AI BenchmarkingOct 8, 2026
- LiveBenchOct 8, 2026
- LMArena / ArenaOct 8, 2026
Awaiting (0)
Every expected source has reported for this model.
Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.