# DeepSeek-V2 (MoE-236B, May 2024) vs GPT-6.1 Sol

> GPT-6.1 Sol has enough public results to be ranked (#6); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-gpt-6-1-sol
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 0 categories and GPT-6.1 Sol in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-6.1 Sol leads 63.2 to 40.4.
- DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | GPT-6.1 Sol |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 40.3 | 65.6 |
| Rank | — | 6 |
| Context | — | 1.05M |
| Input $/M | — | $2 |
| Output $/M | — | $10 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139)
- GPT-6.1 Sol: 63.2 (#8)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-6.1 Sol |
|---|---|---|
| DeepSWE | — | 75.2% |
| FrontierCode | — | 50.2% |
| LMArena WebDev | — | 1755 |
| SciCode | — | 55.8% |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1487 |
| BigCodeBench Complete | 59.4% | — |

## Agentic & Tool Use

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-6.1 Sol: 39.6 (#26)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-6.1 Sol |
|---|---|---|
| APEX-Agents | — | 60% |
| GDP.pdf | — | 32% |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-6.1 Sol: 81.9 (#2)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-6.1 Sol |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 166.09 |
| ARC-AGI-2 | — | 94.2% |
| NYT Connections (extended) | — | 95.5% |
| ARC-AGI-1 | — | 98.5% |
| CritPt | — | 31.7% |
| Chess Puzzles | — | 61% |
| EBR-Bench | — | 54.3% |
| LMArena Hard Prompts | — | 1466 |
| Mystery Game Puzzles | — | 80% |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-6.1 Sol: 93.7 (#1)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-6.1 Sol |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 100% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 99% |
| LMArena Math | — | 1464 |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-6.1 Sol: 71.8 (#4)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-6.1 Sol |
|---|---|---|
| GPQA Diamond | — | 95.4% |
| SimpleQA Verified | — | 73.9% |
| LMArena Expert | — | 1502 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |

## Multimodal

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-6.1 Sol: 52.7 (#5)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Vision | — | 1288 |
| Furniture Assembly | — | 80% |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-6.1 Sol: 54.3 (#46)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | — | 1438 |
| LMArena Chinese | — | 1477 |
| LMArena Russian | — | 1455 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-6.1 Sol: 77.0 (#29)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | — | 1468 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-6.1 Sol: 44.9 (#54)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | — | 1465 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- GPT-6.1 Sol: 63.6 (#63)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | — | 1447 |
| LMArena Creative Writing | — | 1432 |
| LMArena Multi-Turn | — | 1449 |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than GPT-6.1 Sol?

GPT-6.1 Sol has enough public results to be ranked (#6); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 40.4 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and GPT-6.1 Sol share?

1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and GPT-6.1 Sol has 34.