Model comparison
Inkling vs Nova Premier 1.0
Inkling is the stronger model overall, scoring 44.1 to 38.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in knowledge, where Inkling leads 55.1 to 35.8.
- Inkling is cheaper at $1.87 / $4.68 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 66K.
- Inkling has downloadable open weights; the other is API-only.
Side by side
| Inkling | Nova Premier 1.0 | |
|---|---|---|
| Provider | Thinking Machines Lab | Amazon |
| Noometry Index | 44.1 | 38.3 |
| Released | 2026-07-15 | 2025-04-30 |
| Weights | Open | Proprietary |
| Context window | 66K | 1M |
| Max output | 66K | 10K |
| Input $ / M tokens | $1.87 | $2.50 |
| Output $ / M tokens | $4.68 | $12.50 |
| Results tracked | 41 | 6 |
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Category by category
Coding Not comparable
Inkling: 34.5 (#234), Nova Premier 1.0: —
| Benchmark | Inkling | Nova Premier 1.0 |
|---|---|---|
| FrontierCode | 14% | — |
| LMArena WebDev | 1413 | — |
| FrontierSWE | 4.1% | — |
| SciCode | 47% | — |
| WeirdML | 32.3% | — |
| LMArena Coding | 1464 | — |
| ALE-Bench | 946 | — |
Agentic & Tool Use Not comparable
Inkling: 29.6 (#85), Nova Premier 1.0: —
| Benchmark | Inkling | Nova Premier 1.0 |
|---|---|---|
| APEX-Agents | 33.8% | — |
| τ²-bench Banking | 25% | — |
Reasoning Inkling leads
Inkling: 40.4 (#56), Nova Premier 1.0: 23.0 (#185)
| Benchmark | Inkling | Nova Premier 1.0 |
|---|---|---|
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| Kagi LLM Benchmark | — | 44.8% |
| ARC-AGI-1 | 79.5% | — |
| CritPt | 5.4% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | 1451 | — |
| DTBench | 87.5% | — |
| LMCA | 37.6% | — |
| Epoch Capabilities Index | 148.54 | — |
Math Nova Premier 1.0 leads
Inkling: 31.3 (#225), Nova Premier 1.0: 33.8 (#199)
| Benchmark | Inkling | Nova Premier 1.0 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 0% | — |
| Omni-MATH | — | 35% |
| LMArena Math | 1479 | — |
Knowledge Inkling leads
Inkling: 55.1 (#49), Nova Premier 1.0: 35.8 (#180)
| Benchmark | Inkling | Nova Premier 1.0 |
|---|---|---|
| GPQA Diamond | 88.3% | — |
| SimpleQA Verified | 40.3% | — |
| MMLU-Pro | — | 72.6% |
| GPQA (HELM) | — | 51.8% |
| LMArena Expert | 1465 | — |
Multilingual Not comparable
Inkling: 54.0 (#52), Nova Premier 1.0: —
| Benchmark | Inkling | Nova Premier 1.0 |
|---|---|---|
| LMArena Non-English | 1434 | — |
| LMArena Chinese | 1490 | — |
| LMArena French | 1458 | — |
| LMArena German | 1446 | — |
| LMArena Japanese | 1429 | — |
| LMArena Korean | 1404 | — |
| LMArena Russian | 1429 | — |
| LMArena Spanish | 1448 | — |
Instruction Following Inkling leads
Inkling: 75.1 (#71), Nova Premier 1.0: 66.8 (#204)
| Benchmark | Inkling | Nova Premier 1.0 |
|---|---|---|
| IFEval | — | 80.3% |
| LMArena Instruction Following | 1426 | — |
Long Context Not comparable
Inkling: 43.8 (#86), Nova Premier 1.0: —
| Benchmark | Inkling | Nova Premier 1.0 |
|---|---|---|
| LMArena Longer Query | 1434 | — |
Writing & Preference Inkling leads
Inkling: 65.2 (#51), Nova Premier 1.0: 51.0 (#178)
| Benchmark | Inkling | Nova Premier 1.0 |
|---|---|---|
| LMArena Text | 1441 | — |
| LMArena Creative Writing | 1387 | — |
| EQ-Bench Creative Writing | 1611 | — |
| WildBench | — | 78.8% |
| EQ-Bench 4 | 1226 | — |
| LMArena Multi-Turn | 1436 | — |
Frequently asked questions
Is Inkling better than Nova Premier 1.0?
Inkling is the stronger model overall, scoring 44.1 to 38.3 on the Noometry Index.
Which is cheaper, Inkling or Nova Premier 1.0?
Inkling is cheaper. It lists at $1.87 per million input tokens and $4.68 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 66K.
How many benchmarks do Inkling and Nova Premier 1.0 share?
0 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Nova Premier 1.0 has 6.