# Chatgpt 4o Latest 20250326 vs DeepSeek-V3.2-Exp

> Chatgpt 4o Latest 20250326 and DeepSeek-V3.2-Exp score almost the same on the Noometry Index (43.8 vs 44.3), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/chatgpt-4o-vs-deepseek-v3-2-exp
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Chatgpt 4o Latest 20250326 scores higher in 3 categories and DeepSeek-V3.2-Exp in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek-V3.2-Exp leads 51.7 to 39.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 75% for Chatgpt 4o Latest 20250326 and 52.2% for DeepSeek-V3.2-Exp.
- DeepSeek-V3.2-Exp has downloadable open weights; the other is API-only.

## Snapshot

| | Chatgpt 4o Latest 20250326 | DeepSeek-V3.2-Exp |
|---|---|---|
| Provider | OpenAI | DeepSeek |
| Noometry Index | 43.8 | 44.3 |
| Rank | 82 | 78 |
| Context | — | 164K |
| Input $/M | — | $0.26 |
| Output $/M | — | $0.38 |
| Weights | Proprietary | Open |

## Coding

- Chatgpt 4o Latest 20250326: 41.6 (#122)
- DeepSeek-V3.2-Exp: 46.5 (#65)

| Benchmark | Chatgpt 4o Latest 20250326 | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Coding | 1413 | 1454 |
| SWE-bench Verified (bash only) | — | 70% |
| Aider Polyglot | — | 74.2% |
| LMArena WebDev | — | 1362 |
| SWE-bench Multilingual | — | 59% |
| SciCode | — | 38.9% |
| WeirdML | — | 39.5% |

## Agentic & Tool Use

- Chatgpt 4o Latest 20250326: —
- DeepSeek-V3.2-Exp: 32.7 (#59)

| Benchmark | Chatgpt 4o Latest 20250326 | DeepSeek-V3.2-Exp |
|---|---|---|
| Terminal-Bench | — | 39.6% |
| APEX-Agents | — | 21.3% |
| Berkeley Function Calling Leaderboard | — | 56.7% |
| TheAgentCompany | — | 42.9% |
| Vending-Bench 2 | — | 1,034 |

## Reasoning

- Chatgpt 4o Latest 20250326: 33.8 (#71)
- DeepSeek-V3.2-Exp: 22.1 (#208)

| Benchmark | Chatgpt 4o Latest 20250326 | DeepSeek-V3.2-Exp |
|---|---|---|
| Kagi LLM Benchmark | 75% | 52.2% |
| LMArena Hard Prompts | 1424 | 1434 |
| ARC-AGI-2 | — | 4% |
| NYT Connections (extended) | — | 36.7% |
| ARC-AGI-1 | — | 57% |
| CritPt | — | 2.9% |
| Chess Puzzles | — | 14% |
| Thematic Generalization | — | 65% |
| DTBench | — | 87.7% |
| LMCA | — | 29.1% |
| Epoch Capabilities Index | — | 146.27 |

## Math

- Chatgpt 4o Latest 20250326: 38.6 (#134)
- DeepSeek-V3.2-Exp: 41.7 (#87)

| Benchmark | Chatgpt 4o Latest 20250326 | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Math | 1407 | 1435 |
| MathArena Final-Answer Competitions | — | 57.7% |
| OTIS Mock AIME 2024-2025 | — | 87.8% |
| ProofBench | — | 8% |
| FrontierMath (Feb 2025 set) | — | 22.1% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- Chatgpt 4o Latest 20250326: 39.2 (#137)
- DeepSeek-V3.2-Exp: 51.7 (#66)

| Benchmark | Chatgpt 4o Latest 20250326 | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Expert | 1401 | 1436 |
| GPQA Diamond | — | 83.4% |
| Confabulations | 16.6% | — |
| Vectara Hallucination Rate | — | 5.3% |

## Multimodal

- Chatgpt 4o Latest 20250326: 39.6 (#58)
- DeepSeek-V3.2-Exp: —

| Benchmark | Chatgpt 4o Latest 20250326 | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Vision | 1243 | — |

## Multilingual

- Chatgpt 4o Latest 20250326: 52.9 (#76)
- DeepSeek-V3.2-Exp: 52.2 (#90)

| Benchmark | Chatgpt 4o Latest 20250326 | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Non-English | 1419 | 1409 |
| LMArena Chinese | 1457 | 1461 |
| LMArena French | 1446 | 1433 |
| LMArena German | 1423 | 1440 |
| LMArena Japanese | 1405 | 1374 |
| LMArena Korean | 1396 | 1371 |
| LMArena Russian | 1429 | 1424 |
| LMArena Spanish | 1434 | 1440 |

## Instruction Following

- Chatgpt 4o Latest 20250326: 74.0 (#107)
- DeepSeek-V3.2-Exp: 74.5 (#93)

| Benchmark | Chatgpt 4o Latest 20250326 | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Instruction Following | 1403 | 1413 |

## Long Context

- Chatgpt 4o Latest 20250326: 43.1 (#107)
- DeepSeek-V3.2-Exp: 47.6 (#16)

| Benchmark | Chatgpt 4o Latest 20250326 | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Longer Query | 1413 | 1428 |
| Fiction.LiveBench | — | 83.3% |
| CL-bench | — | 13.2% |
| CL-bench Life | — | 9.5% |

## Writing & Preference

- Chatgpt 4o Latest 20250326: 62.6 (#72)
- DeepSeek-V3.2-Exp: 62.4 (#77)

| Benchmark | Chatgpt 4o Latest 20250326 | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Text | 1429 | 1425 |
| LMArena Creative Writing | 1405 | 1403 |
| EQ-Bench Creative Writing | 1501 | 1515 |
| LMArena Multi-Turn | 1454 | 1427 |

## FAQ

### Is Chatgpt 4o Latest 20250326 better than DeepSeek-V3.2-Exp?

Chatgpt 4o Latest 20250326 and DeepSeek-V3.2-Exp score almost the same on the Noometry Index (43.8 vs 44.3), so choose on price, context window or the category you care about most.

### Is Chatgpt 4o Latest 20250326 or DeepSeek-V3.2-Exp better for coding?

DeepSeek-V3.2-Exp scores higher on coding benchmarks: 46.5 versus 41.6 in the Noometry coding category.

### How many benchmarks do Chatgpt 4o Latest 20250326 and DeepSeek-V3.2-Exp share?

19 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and DeepSeek-V3.2-Exp has 49.