# DeepSeek LLM 67B vs Inkling

> Inkling is the stronger model overall, scoring 44.1 to 24.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-inkling
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Inkling in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling leads 55.2 to 7.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 88.9% for Inkling.

## Snapshot

| | DeepSeek LLM 67B | Inkling |
|---|---|---|
| Provider | DeepSeek | Thinking Machines Lab |
| Noometry Index | 24.8 | 44.1 |
| Rank | 341 | 75 |
| Context | — | 66K |
| Input $/M | — | $1.87 |
| Output $/M | — | $4.68 |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- Inkling: 34.1 (#229)

| Benchmark | DeepSeek LLM 67B | Inkling |
|---|---|---|
| LMArena Coding | 1096 | 1463 |
| FrontierCode | — | 14% |
| LMArena WebDev | — | 1412 |
| FrontierSWE | — | 4.1% |
| SciCode | — | 47% |
| WeirdML | — | 32.3% |
| ALE-Bench | — | 946 |

## Agentic & Tool Use

- DeepSeek LLM 67B: —
- Inkling: 29.5 (#76)

| Benchmark | DeepSeek LLM 67B | Inkling |
|---|---|---|
| APEX-Agents | — | 33.8% |
| τ²-bench Banking | — | 25% |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- Inkling: 40.6 (#48)

| Benchmark | DeepSeek LLM 67B | Inkling |
|---|---|---|
| Chess Puzzles | 0% | 21% |
| LMArena Hard Prompts | 1070 | 1452 |
| Epoch Capabilities Index | 110.54 | 148.6 |
| ARC-AGI-2 | — | 36.5% |
| SimpleBench | — | 50% |
| ARC-AGI-1 | — | 79.5% |
| CritPt | — | 5.4% |
| DTBench | — | 87.5% |
| LMCA | — | 37.6% |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- Inkling: 31.2 (#198)

| Benchmark | DeepSeek LLM 67B | Inkling |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 88.9% |
| LMArena Math | 1108 | 1482 |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| FrontierMath Tier 4 | — | 4.9% |
| ProofBench | — | 0% |
| MATH Level 5 | 6.4% | — |

## Knowledge

- DeepSeek LLM 67B: 7.1 (#308)
- Inkling: 55.2 (#44)

| Benchmark | DeepSeek LLM 67B | Inkling |
|---|---|---|
| GPQA Diamond | 24.6% | 88.3% |
| SimpleQA Verified | — | 40.3% |
| LMArena Expert | — | 1468 |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- Inkling: 54.2 (#49)

| Benchmark | DeepSeek LLM 67B | Inkling |
|---|---|---|
| LMArena Non-English | 1073 | 1434 |
| LMArena Chinese | 1132 | 1495 |
| LMArena French | — | 1453 |
| LMArena German | — | 1456 |
| LMArena Japanese | — | 1428 |
| LMArena Korean | — | 1401 |
| LMArena Russian | — | 1430 |
| LMArena Spanish | — | 1442 |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- Inkling: 75.3 (#65)

| Benchmark | DeepSeek LLM 67B | Inkling |
|---|---|---|
| LMArena Instruction Following | 1079 | 1427 |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- Inkling: 43.9 (#79)

| Benchmark | DeepSeek LLM 67B | Inkling |
|---|---|---|
| LMArena Longer Query | 1092 | 1436 |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- Inkling: 65.5 (#48)

| Benchmark | DeepSeek LLM 67B | Inkling |
|---|---|---|
| LMArena Text | 1105 | 1443 |
| LMArena Creative Writing | 1067 | 1390 |
| LMArena Multi-Turn | 1082 | 1436 |
| EQ-Bench Creative Writing | — | 1611 |
| EQ-Bench 4 | — | 1226 |

## FAQ

### Is DeepSeek LLM 67B better than Inkling?

Inkling is the stronger model overall, scoring 44.1 to 24.8 on the Noometry Index.

### Is DeepSeek LLM 67B or Inkling better for coding?

Inkling scores higher on coding benchmarks: 34.1 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and Inkling share?

14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Inkling has 41.