Model comparison
Deepseek Coder v2 vs GPT-4.5
GPT-4.5 is the stronger model overall, scoring 37.2 to 35.9 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. Deepseek Coder v2 scores higher in 2 categories and GPT-4.5 in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.5 leads 56.9 to 38.2.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Deepseek Coder v2 | GPT-4.5 | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 35.9 | 37.2 |
| Released | 2024-06-17 | 2025-02-27 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 24 | 42 |
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Category by category
Coding GPT-4.5 leads
Deepseek Coder v2: 38.1 (#183), GPT-4.5: 42.2 (#109)
| Benchmark | Deepseek Coder v2 | GPT-4.5 |
|---|---|---|
| LMArena Coding | 1251 | 1396 |
| Aider Polyglot | — | 44.9% |
| WeirdML | — | 39.4% |
| BigCodeBench Instruct | 48.2% | — |
| LiveBench Coding | — | 75.2% |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Agentic & Tool Use Not comparable
Deepseek Coder v2: —, GPT-4.5: 27.9 (#97)
| Benchmark | Deepseek Coder v2 | GPT-4.5 |
|---|---|---|
| Cybench | — | 17.5% |
Reasoning Deepseek Coder v2 leads
Deepseek Coder v2: 23.6 (#176), GPT-4.5: 13.9 (#330)
| Benchmark | Deepseek Coder v2 | GPT-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1403 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 34.5% |
| ARC-AGI-1 | — | 10.3% |
| EnigmaEval | — | 3.2% |
| LiveBench Reasoning | — | 71.1% |
| LiveBench Data Analysis | — | 64.3% |
| Epoch Capabilities Index | — | 136.74 |
| ForecastBench | — | 61.7 |
| LiveBench | — | 69% |
| WinoGrande | 83.7% | — |
Math Deepseek Coder v2 leads
Deepseek Coder v2: 34.9 (#190), GPT-4.5: 32.6 (#211)
| Benchmark | Deepseek Coder v2 | GPT-4.5 |
|---|---|---|
| LMArena Math | 1241 | 1412 |
| OTIS Mock AIME 2024-2025 | — | 37.8% |
| LiveBench Math | — | 69.3% |
| MATH Level 5 | — | 78.6% |
| GSM8K | 94.5% | — |
Knowledge Too close to call
Deepseek Coder v2: 32.3 (#212), GPT-4.5: 32.5 (#211)
| Benchmark | Deepseek Coder v2 | GPT-4.5 |
|---|---|---|
| LMArena Expert | 1181 | 1394 |
| GPQA Diamond | — | 68.7% |
| Humanity's Last Exam | — | 5.4% |
| Confabulations | — | 13.6% |
| ARC (AI2) Challenge | 64.3% | — |
Multimodal Not comparable
Deepseek Coder v2: —, GPT-4.5: 37.6 (#71)
| Benchmark | Deepseek Coder v2 | GPT-4.5 |
|---|---|---|
| LMArena Vision | — | 1195 |
| VPCT | — | 45% |
Multilingual GPT-4.5 leads
Deepseek Coder v2: 36.3 (#240), GPT-4.5: 52.5 (#83)
| Benchmark | Deepseek Coder v2 | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1182 | 1413 |
| LMArena Chinese | 1201 | 1421 |
| LMArena French | 1185 | 1418 |
| LMArena German | 1164 | 1457 |
| LMArena Japanese | 1126 | 1416 |
| LMArena Korean | 1104 | 1392 |
| LMArena Russian | 1188 | 1419 |
| LMArena Spanish | 1153 | — |
Instruction Following GPT-4.5 leads
Deepseek Coder v2: 61.7 (#242), GPT-4.5: 72.6 (#134)
| Benchmark | Deepseek Coder v2 | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1180 | 1404 |
| LiveBench Instruction Following | — | 72.3% |
Long Context GPT-4.5 leads
Deepseek Coder v2: 37.0 (#224), GPT-4.5: 40.4 (#155)
| Benchmark | Deepseek Coder v2 | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1219 | 1406 |
| Fiction.LiveBench | — | 63.9% |
Writing & Preference GPT-4.5 leads
Deepseek Coder v2: 38.2 (#253), GPT-4.5: 56.9 (#134)
| Benchmark | Deepseek Coder v2 | GPT-4.5 |
|---|---|---|
| LMArena Text | 1191 | 1417 |
| LMArena Creative Writing | 1120 | 1394 |
| LMArena Multi-Turn | 1177 | 1444 |
| Short-Story Creative Writing | — | 75.6% |
| EQ-Bench Creative Writing | — | 1258 |
| LiveBench Language | — | 61.5% |
Frequently asked questions
Is Deepseek Coder v2 better than GPT-4.5?
GPT-4.5 is the stronger model overall, scoring 37.2 to 35.9 on the Noometry Index.
Is Deepseek Coder v2 or GPT-4.5 better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 38.1 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and GPT-4.5 share?
16 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and GPT-4.5 has 42.