Model comparison
Inkling vs Llama 13b
Inkling is the stronger model overall, scoring 44.1 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. Inkling scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Inkling leads 65.2 to 13.8.
Side by side
| Inkling | Llama 13b | |
|---|---|---|
| Provider | Thinking Machines Lab | Meta |
| Noometry Index | 44.1 | 24.4 |
| Released | 2026-07-15 | 2023-02-24 |
| Weights | Open | Open |
| Context window | 66K | — |
| Max output | 66K | — |
| Input $ / M tokens | $1.87 | — |
| Output $ / M tokens | $4.68 | — |
| Results tracked | 41 | 21 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Inkling leads
Inkling: 34.5 (#234), Llama 13b: 21.4 (#337)
| Benchmark | Inkling | Llama 13b |
|---|---|---|
| LMArena Coding | 1464 | 683 |
| FrontierCode | 14% | — |
| LMArena WebDev | 1413 | — |
| FrontierSWE | 4.1% | — |
| SciCode | 47% | — |
| WeirdML | 32.3% | — |
| ALE-Bench | 946 | — |
Agentic & Tool Use Not comparable
Inkling: 29.6 (#85), Llama 13b: —
| Benchmark | Inkling | Llama 13b |
|---|---|---|
| APEX-Agents | 33.8% | — |
| τ²-bench Banking | 25% | — |
Reasoning Inkling leads
Inkling: 40.4 (#56), Llama 13b: 14.0 (#329)
| Benchmark | Inkling | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1451 | 728 |
| Epoch Capabilities Index | 148.54 | 100.58 |
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| ARC-AGI-1 | 79.5% | — |
| CritPt | 5.4% | — |
| Chess Puzzles | 21% | — |
| DTBench | 87.5% | — |
| LMCA | 37.6% | — |
| BIG-Bench Hard | — | 37.9% |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Inkling leads
Inkling: 31.3 (#225), Llama 13b: 26.7 (#256)
| Benchmark | Inkling | Llama 13b |
|---|---|---|
| LMArena Math | 1479 | 838 |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 0% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
Inkling: 55.1 (#49), Llama 13b: —
| Benchmark | Inkling | Llama 13b |
|---|---|---|
| GPQA Diamond | 88.3% | — |
| SimpleQA Verified | 40.3% | — |
| LMArena Expert | 1465 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
Inkling: —, Llama 13b: —
| Benchmark | Inkling | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |
Multilingual Inkling leads
Inkling: 54.0 (#52), Llama 13b: 16.6 (#297)
| Benchmark | Inkling | Llama 13b |
|---|---|---|
| LMArena Non-English | 1434 | 819 |
| 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), Llama 13b: 36.7 (#305)
| Benchmark | Inkling | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1426 | 781 |
Long Context Not comparable
Inkling: 43.8 (#86), Llama 13b: —
| Benchmark | Inkling | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1434 | — |
Writing & Preference Inkling leads
Inkling: 65.2 (#51), Llama 13b: 13.8 (#312)
| Benchmark | Inkling | Llama 13b |
|---|---|---|
| LMArena Text | 1441 | 834 |
| LMArena Creative Writing | 1387 | 794 |
| LMArena Multi-Turn | 1436 | 753 |
| EQ-Bench Creative Writing | 1611 | — |
| EQ-Bench 4 | 1226 | — |
Frequently asked questions
Is Inkling better than Llama 13b?
Inkling is the stronger model overall, scoring 44.1 to 24.4 on the Noometry Index.
Is Inkling or Llama 13b better for coding?
Inkling scores higher on coding benchmarks: 34.5 versus 21.4 in the Noometry coding category.
How many benchmarks do Inkling and Llama 13b share?
9 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Llama 13b has 21.