Model comparison
Inkling vs Llama2 70b Steerlm Chat
Inkling is the stronger model overall, scoring 44.1 to 31.2 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIASummary
- They share 9 benchmarks with published results for both. Inkling 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 leads 65.5 to 31.8.
Side by side
| Inkling | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | Thinking Machines Lab | NVIDIA |
| Noometry Index | 44.1 | 31.2 |
| Released | 2026-07-15 | — |
| Weights | Open | Open |
| Context window | 66K | — |
| Max output | 66K | — |
| Input $ / M tokens | $1.87 | — |
| Output $ / M tokens | $4.68 | — |
| Results tracked | 41 | 9 |
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Category by category
Coding Inkling leads
Inkling: 34.1 (#229), Llama2 70b Steerlm Chat: 29.3 (#295)
| Benchmark | Inkling | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1463 | 1025 |
| FrontierCode | 14% | — |
| LMArena WebDev | 1412 | — |
| FrontierSWE | 4.1% | — |
| SciCode | 47% | — |
| WeirdML | 32.3% | — |
| ALE-Bench | 946 | — |
Agentic & Tool Use Not comparable
Inkling: 29.5 (#76), Llama2 70b Steerlm Chat: —
| Benchmark | Inkling | Llama2 70b Steerlm Chat |
|---|---|---|
| APEX-Agents | 33.8% | — |
| τ²-bench Banking | 25% | — |
Reasoning Inkling leads
Inkling: 40.6 (#48), Llama2 70b Steerlm Chat: 19.1 (#245)
| Benchmark | Inkling | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1452 | 1047 |
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| ARC-AGI-1 | 79.5% | — |
| CritPt | 5.4% | — |
| Chess Puzzles | 21% | — |
| DTBench | 87.5% | — |
| LMCA | 37.6% | — |
| Epoch Capabilities Index | 148.6 | — |
Math Inkling leads
Inkling: 31.2 (#198), Llama2 70b Steerlm Chat: 28.8 (#223)
| Benchmark | Inkling | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1482 | 1072 |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 0% | — |
Knowledge Not comparable
Inkling: 55.2 (#44), Llama2 70b Steerlm Chat: —
| Benchmark | Inkling | Llama2 70b Steerlm Chat |
|---|---|---|
| GPQA Diamond | 88.3% | — |
| SimpleQA Verified | 40.3% | — |
| LMArena Expert | 1468 | — |
Multilingual Inkling leads
Inkling: 54.2 (#49), Llama2 70b Steerlm Chat: 28.9 (#265)
| Benchmark | Inkling | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1434 | 1064 |
| LMArena Chinese | 1495 | — |
| LMArena French | 1453 | — |
| LMArena German | 1456 | — |
| LMArena Japanese | 1428 | — |
| LMArena Korean | 1401 | — |
| LMArena Russian | 1430 | — |
| LMArena Spanish | 1442 | — |
Instruction Following Inkling leads
Inkling: 75.3 (#65), Llama2 70b Steerlm Chat: 54.5 (#274)
| Benchmark | Inkling | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1427 | 1061 |
Long Context Inkling leads
Inkling: 43.9 (#79), Llama2 70b Steerlm Chat: 30.4 (#283)
| Benchmark | Inkling | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1436 | 998 |
Writing & Preference Inkling leads
Inkling: 65.5 (#48), Llama2 70b Steerlm Chat: 31.8 (#278)
| Benchmark | Inkling | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1443 | 1098 |
| LMArena Creative Writing | 1390 | 1091 |
| LMArena Multi-Turn | 1436 | 1058 |
| EQ-Bench Creative Writing | 1611 | — |
| EQ-Bench 4 | 1226 | — |
Frequently asked questions
Is Inkling better than Llama2 70b Steerlm Chat?
Inkling is the stronger model overall, scoring 44.1 to 31.2 on the Noometry Index.
Is Inkling or Llama2 70b Steerlm Chat better for coding?
Inkling scores higher on coding benchmarks: 34.1 versus 29.3 in the Noometry coding category.
How many benchmarks do Inkling and Llama2 70b Steerlm Chat share?
9 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Llama2 70b Steerlm Chat has 9.