Model comparison
Inkling-Small vs Nova Premier 1.0
Inkling-Small is the stronger model overall, scoring 46.5 to 38.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where Inkling-Small leads 38.6 to 23.0.
- Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $2.50 / $12.50 for Nova Premier 1.0.
- Nova Premier 1.0 accepts more context: 1M tokens versus 524K.
- Inkling-Small has downloadable open weights; the other is API-only.
Side by side
| Inkling-Small | Nova Premier 1.0 | |
|---|---|---|
| Provider | Thinking Machines Lab | Amazon |
| Noometry Index | 46.5 | 38.3 |
| Released | 2026-07-15 | 2025-04-30 |
| Weights | Open | Proprietary |
| Context window | 524K | 1M |
| Max output | 1.05M | 10K |
| Input $ / M tokens | $0.45 | $2.50 |
| Output $ / M tokens | $1.20 | $12.50 |
| Results tracked | 33 | 6 |
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Category by category
Coding Not comparable
Inkling-Small: 43.6 (#85), Nova Premier 1.0: —
| Benchmark | Inkling-Small | Nova Premier 1.0 |
|---|---|---|
| LMArena WebDev | 1409 | — |
| SciCode | 48.7% | — |
| LMArena Coding | 1451 | — |
Reasoning Inkling-Small leads
Inkling-Small: 38.6 (#63), Nova Premier 1.0: 23.0 (#185)
| Benchmark | Inkling-Small | Nova Premier 1.0 |
|---|---|---|
| ARC-AGI-2 | 40.1% | — |
| Kagi LLM Benchmark | — | 44.8% |
| ARC-AGI-1 | 84% | — |
| CritPt | 8.3% | — |
| Chess Puzzles | 18% | — |
| LMArena Hard Prompts | 1423 | — |
| Mystery Game Puzzles | 6% | — |
| Epoch Capabilities Index | 150.15 | — |
Math Inkling-Small leads
Inkling-Small: 45.1 (#77), Nova Premier 1.0: 33.8 (#199)
| Benchmark | Inkling-Small | Nova Premier 1.0 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 46.3% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 90% | — |
| ProofBench | 6% | — |
| Omni-MATH | — | 35% |
| LMArena Math | 1459 | — |
Knowledge Inkling-Small leads
Inkling-Small: 48.2 (#77), Nova Premier 1.0: 35.8 (#180)
| Benchmark | Inkling-Small | Nova Premier 1.0 |
|---|---|---|
| GPQA Diamond | 88.5% | — |
| SimpleQA Verified | 19.1% | — |
| MMLU-Pro | — | 72.6% |
| GPQA (HELM) | — | 51.8% |
| LMArena Expert | 1442 | — |
Multimodal Not comparable
Inkling-Small: 39.1 (#62), Nova Premier 1.0: —
| Benchmark | Inkling-Small | Nova Premier 1.0 |
|---|---|---|
| LMArena Vision | 1235 | — |
Multilingual Not comparable
Inkling-Small: 51.7 (#104), Nova Premier 1.0: —
| Benchmark | Inkling-Small | Nova Premier 1.0 |
|---|---|---|
| LMArena Non-English | 1402 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1436 | — |
| LMArena German | 1405 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1363 | — |
| LMArena Russian | 1391 | — |
| LMArena Spanish | 1428 | — |
Instruction Following Inkling-Small leads
Inkling-Small: 73.8 (#114), Nova Premier 1.0: 66.8 (#204)
| Benchmark | Inkling-Small | Nova Premier 1.0 |
|---|---|---|
| IFEval | — | 80.3% |
| LMArena Instruction Following | 1399 | — |
Long Context Not comparable
Inkling-Small: 42.7 (#118), Nova Premier 1.0: —
| Benchmark | Inkling-Small | Nova Premier 1.0 |
|---|---|---|
| LMArena Longer Query | 1401 | — |
Writing & Preference Inkling-Small leads
Inkling-Small: 59.6 (#107), Nova Premier 1.0: 51.0 (#178)
| Benchmark | Inkling-Small | Nova Premier 1.0 |
|---|---|---|
| LMArena Text | 1414 | — |
| LMArena Creative Writing | 1331 | — |
| EQ-Bench Creative Writing | 1491 | — |
| WildBench | — | 78.8% |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Inkling-Small better than Nova Premier 1.0?
Inkling-Small is the stronger model overall, scoring 46.5 to 38.3 on the Noometry Index.
Which is cheaper, Inkling-Small or Nova Premier 1.0?
Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; Nova Premier 1.0 lists at $2.50 and $12.50.
Which has the bigger context window?
Nova Premier 1.0 does, with 1M tokens against 524K.
How many benchmarks do Inkling-Small and Nova Premier 1.0 share?
0 benchmarks have published results for both models. Inkling-Small has 33 scored results on Noometry and Nova Premier 1.0 has 6.