# DeepSeek Coder 1.3B vs GPT-6 Sol

> GPT-6 Sol has enough public results to be ranked (#46); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-coder-1-3b-vs-gpt-6-sol
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-6 Sol leads 59.6 to 30.7.
- DeepSeek Coder 1.3B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek Coder 1.3B | GPT-6 Sol |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 34.5 | 49.2 |
| Rank | — | 46 |
| Context | — | 1.05M |
| Input $/M | — | $2 |
| Output $/M | — | $10 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek Coder 1.3B: 30.7 (#282)
- GPT-6 Sol: 59.6 (#11)

| Benchmark | DeepSeek Coder 1.3B | GPT-6 Sol |
|---|---|---|
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| LMArena WebDev | — | 1692 |
| BigCodeBench Instruct | 22.8% | — |
| LMArena Coding | — | 1453 |
| BigCodeBench Complete | 29.6% | — |
| HumanEval+ | 60.4% | — |
| MBPP+ | 54.8% | — |

## Agentic & Tool Use

- DeepSeek Coder 1.3B: —
- GPT-6 Sol: 33.5 (#49)

| Benchmark | DeepSeek Coder 1.3B | GPT-6 Sol |
|---|---|---|
| GDP.pdf | — | 28% |

## Reasoning

- DeepSeek Coder 1.3B: —
- GPT-6 Sol: 49.3 (#34)

| Benchmark | DeepSeek Coder 1.3B | GPT-6 Sol |
|---|---|---|
| NYT Connections (extended) | — | 90.1% |
| EBR-Bench | — | 53.3% |
| LMArena Hard Prompts | — | 1420 |
| Epoch Capabilities Index | 62.18 | — |
| WinoGrande | 53.3% | — |

## Math

- DeepSeek Coder 1.3B: —
- GPT-6 Sol: 35.8 (#135)

| Benchmark | DeepSeek Coder 1.3B | GPT-6 Sol |
|---|---|---|
| LMArena Math | — | 1404 |
| GSM8K | 4.4% | — |

## Knowledge

- DeepSeek Coder 1.3B: —
- GPT-6 Sol: 43.0 (#87)

| Benchmark | DeepSeek Coder 1.3B | GPT-6 Sol |
|---|---|---|
| Vectara Hallucination Rate | — | 6.5% |
| LMArena Expert | — | 1449 |
| ARC (AI2) Challenge | 25.4% | — |
| MMLU | 25.8% | — |

## Multimodal

- DeepSeek Coder 1.3B: —
- GPT-6 Sol: 47.6 (#9)

| Benchmark | DeepSeek Coder 1.3B | GPT-6 Sol |
|---|---|---|
| Furniture Assembly | — | 58.3% |

## Multilingual

- DeepSeek Coder 1.3B: —
- GPT-6 Sol: 51.0 (#113)

| Benchmark | DeepSeek Coder 1.3B | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | — | 1389 |
| LMArena Chinese | — | 1416 |
| LMArena Russian | — | 1407 |
| LMArena Spanish | — | 1377 |

## Instruction Following

- DeepSeek Coder 1.3B: —
- GPT-6 Sol: 74.4 (#97)

| Benchmark | DeepSeek Coder 1.3B | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | — | 1406 |

## Long Context

- DeepSeek Coder 1.3B: —
- GPT-6 Sol: 43.2 (#100)

| Benchmark | DeepSeek Coder 1.3B | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | — | 1415 |

## Writing & Preference

- DeepSeek Coder 1.3B: —
- GPT-6 Sol: 72.3 (#15)

| Benchmark | DeepSeek Coder 1.3B | GPT-6 Sol |
|---|---|---|
| LMArena Text | — | 1396 |
| LMArena Creative Writing | — | 1392 |
| EQ-Bench Creative Writing | — | 2125 |
| LMArena Multi-Turn | — | 1405 |

## FAQ

### Is DeepSeek Coder 1.3B better than GPT-6 Sol?

GPT-6 Sol has enough public results to be ranked (#46); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.

### Is DeepSeek Coder 1.3B or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 30.7 in the Noometry coding category.

### How many benchmarks do DeepSeek Coder 1.3B and GPT-6 Sol share?

0 benchmarks have published results for both models. DeepSeek Coder 1.3B has 9 scored results on Noometry and GPT-6 Sol has 22.