Model comparison
DeepSeek-V2.5 (Sep 2024) vs GPT-6 Luna
GPT-6 Luna is the stronger model overall, scoring 53.3 to 37.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeekSummary
- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and GPT-6 Luna in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Luna leads 76.1 to 35.9.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2.5 (Sep 2024) | GPT-6 Luna | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 37.6 | 53.3 |
| Released | 2024-09-06 | 2026-09-22 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 22 | 42 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6 Luna leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), GPT-6 Luna: 55.5 (#25)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-6 Luna |
|---|---|---|
| LMArena Coding | 1309 | 1439 |
| DeepSWE | — | 66.6% |
| FrontierCode | — | 42.4% |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1581 |
| SciCode | — | 54.6% |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| ALE-Bench | — | 1,577 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2.5 (Sep 2024): —, GPT-6 Luna: 33.3 (#54)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-6 Luna |
|---|---|---|
| APEX-Agents | — | 44.3% |
| GDP.pdf | — | 23% |
Reasoning GPT-6 Luna leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), GPT-6 Luna: 48.2 (#41)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-6 Luna |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1411 |
| ARC-AGI-2 | — | 59.3% |
| NYT Connections (extended) | — | 68.7% |
| ARC-AGI-1 | — | 86.7% |
| CritPt | — | 19.4% |
| Chess Puzzles | — | 31% |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 90.1% |
| LMCA | — | 44.5% |
| Epoch Capabilities Index | — | 156.28 |
Math GPT-6 Luna leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), GPT-6 Luna: 76.1 (#15)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-6 Luna |
|---|---|---|
| LMArena Math | 1288 | 1416 |
| FrontierMath (Tiers 1-3) | — | 78.9% |
| FrontierMath Tier 4 | — | 56.1% |
| OTIS Mock AIME 2024-2025 | — | 98.9% |
| ProofBench | — | 64% |
Knowledge GPT-6 Luna leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), GPT-6 Luna: 57.0 (#41)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-6 Luna |
|---|---|---|
| LMArena Expert | 1266 | 1444 |
| GPQA Diamond | — | 90.5% |
| SimpleQA Verified | — | 41.4% |
Multimodal Not comparable
DeepSeek-V2.5 (Sep 2024): —, GPT-6 Luna: 42.4 (#30)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-6 Luna |
|---|---|---|
| LMArena Vision | — | 1217 |
| Blueprint-Bench 2 | — | 31.2% |
| Furniture Assembly | — | 44.2% |
Multilingual GPT-6 Luna leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), GPT-6 Luna: 50.5 (#117)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1273 | 1386 |
| LMArena Chinese | 1318 | 1433 |
| LMArena French | 1289 | 1420 |
| LMArena German | 1258 | 1369 |
| LMArena Japanese | 1228 | 1369 |
| LMArena Korean | 1209 | 1360 |
| LMArena Russian | 1289 | 1394 |
| LMArena Spanish | 1248 | 1393 |
Instruction Following GPT-6 Luna leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), GPT-6 Luna: 74.3 (#99)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1280 | 1409 |
Long Context GPT-6 Luna leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), GPT-6 Luna: 43.0 (#111)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1301 | 1409 |
Writing & Preference GPT-6 Luna leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), GPT-6 Luna: 58.3 (#119)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1294 | 1391 |
| LMArena Creative Writing | 1285 | 1363 |
| LMArena Multi-Turn | 1297 | 1396 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than GPT-6 Luna?
GPT-6 Luna is the stronger model overall, scoring 53.3 to 37.6 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or GPT-6 Luna better for coding?
GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and GPT-6 Luna share?
17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and GPT-6 Luna has 42.