Model comparison
GPT-4 Turbo vs Qwen2.5 Plus 1127
Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.8 to 30.5 on the Noometry Index.
Last verified . 14 shared benchmarks.
Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. GPT-4 Turbo scores higher in 0 categories and Qwen2.5 Plus 1127 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen2.5 Plus 1127 leads 36.1 to 9.0.
Side by side
| GPT-4 Turbo | Qwen2.5 Plus 1127 | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 30.5 | 38.8 |
| Released | 2023-11-06 | — |
| Weights | Proprietary | Proprietary |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $10 | — |
| Output $ / M tokens | $30 | — |
| Results tracked | 36 | 14 |
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Category by category
Coding Qwen2.5 Plus 1127 leads
GPT-4 Turbo: 33.8 (#249), Qwen2.5 Plus 1127: 38.5 (#175)
| Benchmark | GPT-4 Turbo | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Coding | 1268 | 1314 |
| WeirdML | 18% | — |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 58.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, Qwen2.5 Plus 1127: —
| Benchmark | GPT-4 Turbo | Qwen2.5 Plus 1127 |
|---|---|---|
| METR Time Horizons | 36.7% | — |
Reasoning Qwen2.5 Plus 1127 leads
GPT-4 Turbo: 15.3 (#317), Qwen2.5 Plus 1127: 25.9 (#141)
| Benchmark | GPT-4 Turbo | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1299 |
| SimpleBench | 25.1% | — |
| Chess Puzzles | 6% | — |
| DTBench | 61.6% | — |
| LMCA | 9.8% | — |
| Epoch Capabilities Index | 127.25 | — |
| ForecastBench | 59.4 | — |
Math Qwen2.5 Plus 1127 leads
GPT-4 Turbo: 9.0 (#322), Qwen2.5 Plus 1127: 36.1 (#174)
| Benchmark | GPT-4 Turbo | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Math | 1272 | 1298 |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.7% | — |
| MATH Level 5 | 46.7% | — |
Knowledge Qwen2.5 Plus 1127 leads
GPT-4 Turbo: 24.3 (#268), Qwen2.5 Plus 1127: 35.5 (#183)
| Benchmark | GPT-4 Turbo | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Expert | 1223 | 1289 |
| GPQA Diamond | 46.6% | — |
| Confabulations | 28.4% | — |
| MMLU | 81.3% | — |
Multimodal Not comparable
GPT-4 Turbo: 30.6 (#110), Qwen2.5 Plus 1127: —
| Benchmark | GPT-4 Turbo | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Vision | 1090 | — |
Multilingual Qwen2.5 Plus 1127 leads
GPT-4 Turbo: 40.5 (#216), Qwen2.5 Plus 1127: 41.9 (#201)
| Benchmark | GPT-4 Turbo | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Non-English | 1245 | 1265 |
| LMArena Chinese | 1242 | 1314 |
| LMArena German | 1259 | 1231 |
| LMArena Japanese | 1194 | 1207 |
| LMArena Russian | 1259 | 1271 |
| LMArena French | 1276 | — |
| LMArena Korean | 1187 | — |
| LMArena Spanish | 1260 | — |
Instruction Following Qwen2.5 Plus 1127 leads
GPT-4 Turbo: 65.8 (#216), Qwen2.5 Plus 1127: 67.2 (#199)
| Benchmark | GPT-4 Turbo | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Instruction Following | 1249 | 1275 |
Long Context Qwen2.5 Plus 1127 leads
GPT-4 Turbo: 38.0 (#206), Qwen2.5 Plus 1127: 39.2 (#184)
| Benchmark | GPT-4 Turbo | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Longer Query | 1254 | 1292 |
Writing & Preference Qwen2.5 Plus 1127 leads
GPT-4 Turbo: 47.7 (#206), Qwen2.5 Plus 1127: 49.4 (#192)
| Benchmark | GPT-4 Turbo | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Text | 1272 | 1299 |
| LMArena Creative Writing | 1269 | 1262 |
| LMArena Multi-Turn | 1267 | 1299 |
Frequently asked questions
Is GPT-4 Turbo better than Qwen2.5 Plus 1127?
Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.8 to 30.5 on the Noometry Index.
Is GPT-4 Turbo or Qwen2.5 Plus 1127 better for coding?
Qwen2.5 Plus 1127 scores higher on coding benchmarks: 38.5 versus 33.8 in the Noometry coding category.
How many benchmarks do GPT-4 Turbo and Qwen2.5 Plus 1127 share?
14 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Qwen2.5 Plus 1127 has 14.