# DeepSeek-R1 vs GPT-5.3 Chat

> DeepSeek-R1 and GPT-5.3 Chat score almost the same on the Noometry Index (42.0 vs 42.1), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-r1-vs-gpt-5-3-chat
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. DeepSeek-R1 scores higher in 5 categories and GPT-5.3 Chat in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.3 Chat leads 27.3 to 18.7.
- DeepSeek-R1 is cheaper at $0.50 / $2.15 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- DeepSeek-R1 accepts more context: 164K tokens versus 128K.

## Snapshot

| | DeepSeek-R1 | GPT-5.3 Chat |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 42.0 | 42.1 |
| Rank | 110 | 109 |
| Context | 164K | 128K |
| Input $/M | $0.50 | $1.75 |
| Output $/M | $2.15 | $14 |
| Weights | Proprietary | Proprietary |

## Coding

- DeepSeek-R1: 45.9 (#63)
- GPT-5.3 Chat: 40.8 (#124)

| Benchmark | DeepSeek-R1 | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1427 | 1408 |
| Aider Polyglot | 71.4% | — |
| SciCode | 35.7% | — |
| WeirdML | 41.6% | — |
| LiveBench Coding | 66.7% | — |
| ALE-Bench | 804.12 | — |
| AlgoTune | 1.7 | — |

## Agentic & Tool Use

- DeepSeek-R1: 30.4 (#68)
- GPT-5.3 Chat: —

| Benchmark | DeepSeek-R1 | GPT-5.3 Chat |
|---|---|---|
| DeepResearch Bench | 35.1% | — |
| BALROG | 34.9% | — |
| METR Time Horizons | 53.8% | — |

## Reasoning

- DeepSeek-R1: 18.7 (#253)
- GPT-5.3 Chat: 27.3 (#105)

| Benchmark | DeepSeek-R1 | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1415 | 1399 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 40.8% | — |
| Kagi LLM Benchmark | 69.4% | — |
| ARC-AGI-1 | 21.2% | — |
| CritPt | 1.1% | — |
| LiveBench Reasoning | 83.2% | — |
| LiveBench Data Analysis | 69.8% | — |
| Epoch Capabilities Index | 141.3 | — |
| ForecastBench | 60 | — |
| LiveBench | 71.6% | — |

## Math

- DeepSeek-R1: 42.0 (#70)
- GPT-5.3 Chat: 35.4 (#146)

| Benchmark | DeepSeek-R1 | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1401 | 1389 |
| OTIS Mock AIME 2024-2025 | 66.4% | — |
| Omni-MATH | 42.4% | — |
| LiveBench Math | 80.7% | — |
| MATH Level 5 | 96.6% | — |

## Knowledge

- DeepSeek-R1: 44.3 (#81)
- GPT-5.3 Chat: 38.2 (#137)

| Benchmark | DeepSeek-R1 | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1394 | 1397 |
| GPQA Diamond | 76.3% | — |
| MMLU-Pro | 79.3% | — |
| Confabulations | 12.7% | — |
| Vectara Hallucination Rate | 11.3% | — |
| GPQA (HELM) | 66.6% | — |

## Multilingual

- DeepSeek-R1: 52.6 (#80)
- GPT-5.3 Chat: 50.5 (#119)

| Benchmark | DeepSeek-R1 | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1412 | 1383 |
| LMArena Chinese | 1443 | 1433 |
| LMArena French | 1415 | 1398 |
| LMArena German | 1405 | 1384 |
| LMArena Japanese | 1394 | 1351 |
| LMArena Korean | 1359 | 1347 |
| LMArena Russian | 1423 | 1400 |
| LMArena Spanish | 1410 | 1371 |

## Instruction Following

- DeepSeek-R1: 72.2 (#138)
- GPT-5.3 Chat: 73.0 (#124)

| Benchmark | DeepSeek-R1 | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1382 | 1378 |
| LiveBench Instruction Following | 80.5% | — |
| IFEval | 78.4% | — |

## Long Context

- DeepSeek-R1: 45.4 (#36)
- GPT-5.3 Chat: 42.6 (#115)

| Benchmark | DeepSeek-R1 | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1391 | 1396 |
| Fiction.LiveBench | 75% | — |

## Writing & Preference

- DeepSeek-R1: 61.5 (#84)
- GPT-5.3 Chat: 63.3 (#65)

| Benchmark | DeepSeek-R1 | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1428 | 1389 |
| LMArena Creative Writing | 1406 | 1356 |
| EQ-Bench Creative Writing | 1500 | 1690 |
| LMArena Multi-Turn | 1404 | 1413 |
| Short-Story Creative Writing | 83% | — |
| WildBench | 82.8% | — |
| LiveBench Language | 48.5% | — |

## FAQ

### Is DeepSeek-R1 better than GPT-5.3 Chat?

DeepSeek-R1 and GPT-5.3 Chat score almost the same on the Noometry Index (42.0 vs 42.1), so choose on price, context window or the category you care about most.

### Which is cheaper, DeepSeek-R1 or GPT-5.3 Chat?

DeepSeek-R1 is cheaper. It lists at $0.50 per million input tokens and $2.15 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

### Is DeepSeek-R1 or GPT-5.3 Chat better for coding?

DeepSeek-R1 scores higher on coding benchmarks: 45.9 versus 40.8 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek-R1 does, with 164K tokens against 128K.

### How many benchmarks do DeepSeek-R1 and GPT-5.3 Chat share?

18 benchmarks have published results for both models. DeepSeek-R1 has 52 scored results on Noometry and GPT-5.3 Chat has 18.