Model comparison
Inkling-Small vs Llama2 70b Steerlm Chat
Inkling-Small is the stronger model overall, scoring 46.5 to 31.8 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIASummary
- They share 9 benchmarks with published results for both. Inkling-Small scores higher in 7 categories and Llama2 70b Steerlm Chat in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Inkling-Small leads 59.6 to 31.6.
Side by side
| Inkling-Small | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | Thinking Machines Lab | NVIDIA |
| Noometry Index | 46.5 | 31.8 |
| Released | 2026-07-15 | — |
| Weights | Open | Open |
| Context window | 524K | — |
| Max output | 1.05M | — |
| Input $ / M tokens | $0.45 | — |
| Output $ / M tokens | $1.20 | — |
| Results tracked | 33 | 9 |
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Category by category
Coding Inkling-Small leads
Inkling-Small: 43.6 (#85), Llama2 70b Steerlm Chat: 29.9 (#300)
| Benchmark | Inkling-Small | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1451 | 1025 |
| LMArena WebDev | 1409 | — |
| SciCode | 48.7% | — |
Reasoning Inkling-Small leads
Inkling-Small: 38.6 (#63), Llama2 70b Steerlm Chat: 20.0 (#246)
| Benchmark | Inkling-Small | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1423 | 1047 |
| ARC-AGI-2 | 40.1% | — |
| ARC-AGI-1 | 84% | — |
| CritPt | 8.3% | — |
| Chess Puzzles | 18% | — |
| Mystery Game Puzzles | 6% | — |
| Epoch Capabilities Index | 150.15 | — |
Math Inkling-Small leads
Inkling-Small: 45.1 (#77), Llama2 70b Steerlm Chat: 31.3 (#226)
| Benchmark | Inkling-Small | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1459 | 1072 |
| FrontierMath (Tiers 1-3) | 46.3% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 90% | — |
| ProofBench | 6% | — |
Knowledge Not comparable
Inkling-Small: 48.2 (#77), Llama2 70b Steerlm Chat: —
| Benchmark | Inkling-Small | Llama2 70b Steerlm Chat |
|---|---|---|
| GPQA Diamond | 88.5% | — |
| SimpleQA Verified | 19.1% | — |
| LMArena Expert | 1442 | — |
Multimodal Not comparable
Inkling-Small: 39.1 (#62), Llama2 70b Steerlm Chat: —
| Benchmark | Inkling-Small | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Vision | 1235 | — |
Multilingual Inkling-Small leads
Inkling-Small: 51.7 (#104), Llama2 70b Steerlm Chat: 28.8 (#270)
| Benchmark | Inkling-Small | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1402 | 1063 |
| 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), Llama2 70b Steerlm Chat: 54.2 (#279)
| Benchmark | Inkling-Small | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1399 | 1060 |
Long Context Inkling-Small leads
Inkling-Small: 42.7 (#118), Llama2 70b Steerlm Chat: 30.4 (#288)
| Benchmark | Inkling-Small | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1401 | 998 |
Writing & Preference Inkling-Small leads
Inkling-Small: 59.6 (#107), Llama2 70b Steerlm Chat: 31.6 (#283)
| Benchmark | Inkling-Small | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1414 | 1098 |
| LMArena Creative Writing | 1331 | 1091 |
| LMArena Multi-Turn | 1418 | 1058 |
| EQ-Bench Creative Writing | 1491 | — |
Frequently asked questions
Is Inkling-Small better than Llama2 70b Steerlm Chat?
Inkling-Small is the stronger model overall, scoring 46.5 to 31.8 on the Noometry Index.
Is Inkling-Small or Llama2 70b Steerlm Chat better for coding?
Inkling-Small scores higher on coding benchmarks: 43.6 versus 29.9 in the Noometry coding category.
How many benchmarks do Inkling-Small and Llama2 70b Steerlm Chat share?
9 benchmarks have published results for both models. Inkling-Small has 33 scored results on Noometry and Llama2 70b Steerlm Chat has 9.