Inkling-Small vs Nemotron 3.5 Super VL (120B A12B): Specs & Benchmark Comparison
Inkling-Small is developed by Thinking Machines Lab, while Nemotron 3.5 Super VL (120B A12B) comes from NVIDIA. Inkling-Small was released in July 2026, and Nemotron 3.5 Super VL (120B A12B) followed 3 months later in October 2026. Inkling-Small is the larger model at roughly 276 billion parameters, against 120 billion for Nemotron 3.5 Super VL (120B A12B).
The two models share 11 published benchmarks. Nemotron 3.5 Super VL (120B A12B) leads on 6 of them, Inkling-Small on 5. The widest gaps are on IFBench, where Inkling-Small scores 82.2% against 70.9%; SWE-Bench Verified, where Inkling-Small scores 80.2% against 71.1%. Averaged across everything we track, Inkling-Small sits at 60.3% and Nemotron 3.5 Super VL (120B A12B) at 60.9%.
Nemotron 3.5 Super VL (120B A12B) is the cheaper API at $0.20 per million input tokens and $1 per million output tokens, about 50% below Inkling-Small at $0.30 and $1.20. Both accept a context window of about 256K tokens. Inkling-Small accepts text, images, and audio as input, while Nemotron 3.5 Super VL (120B A12B) accepts text, images, and video. On tooling, only Nemotron 3.5 Super VL (120B A12B) supports function calling and only Nemotron 3.5 Super VL (120B A12B) offers structured output.
| Characteristic | Inkling-Small | Nemotron 3.5 Super VL (120B A12B) |
|---|---|---|
| Company | Thinking Machines Lab | NVIDIA |
| Release Date | July 30, 2026 | October 15, 2026 |
| Parameters | 276B | 120B |
| Multimodal | Yes | Yes |
| Context (input) | 256K | 262K |
| Context (output) | 256K | 262K |
| Input Price / 1M | $0.30 | $0.20 |
| Output Price / 1M | $1.20 | $1.00 |
| Average Score | 60.3% | 60.9% |
| Benchmarks | ||
| IFBench | 82.2% | 70.9% |
| SWE-Bench Verified | 80.2% | 71.1% |
| SWE-Bench Pro | 55.9% | 51.8% |
| CharXiv-R | 77.4% | 80.8% |
| Tau3 Banking | 15.5% | 18.9% |
| Terminal-Bench 2.1 | 64.7% | 66.7% |
| GDPval-AA | 42.3% | 40.4% |
| SciCode | 48.7% | 47.1% |
| BrowseComp | 77.4% | 78.0% |
| Humanity's Last Exam | 31.6% | 31.8% |
| GPQA | 89.5% | 89.5% |
Visual Benchmark Comparison
Verdict
Nemotron 3.5 Super VL (120B A12B) leads in 3 out of 5 comparison categories.
Both models show comparable average scores: Inkling-Small — 0.6, Nemotron 3.5 Super VL (120B A12B) — 0.6.
On SWE-Bench, both models are nearly equal: Inkling-Small — 0.8, Nemotron 3.5 Super VL (120B A12B) — 0.7.
Nemotron 3.5 Super VL (120B A12B) is 1.3x cheaper: input $0.20/1M vs $0.30/1M tokens.
Nemotron 3.5 Super VL (120B A12B) supports a larger context: 262K vs 256K tokens.
Nemotron 3.5 Super VL (120B A12B) is newer: released 10/15/2026 vs 7/30/2026.
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Frequently Asked Questions
Which is better for coding — Inkling-Small or Nemotron 3.5 Super VL (120B A12B)?
Which model is cheaper — Inkling-Small or Nemotron 3.5 Super VL (120B A12B)?
Which has a larger context window — Inkling-Small or Nemotron 3.5 Super VL (120B A12B)?
The Inkling-Small and Nemotron 3.5 Super VL (120B A12B) comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Inkling-Small or Nemotron 3.5 Super VL (120B A12B) page. See also the complete list of AI model comparisons.