Model comparison
Chatgpt 4o Latest 20250326 vs Qwen3.8 27B
Qwen3.8 27B is the stronger model overall, scoring 45.3 to 43.2 on the Noometry Index.
Last verified . 19 shared benchmarks.
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Chatgpt 4o Latest 20250326 scores higher in 2 categories and Qwen3.8 27B in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen3.8 27B leads 50.3 to 41.0.
- Qwen3.8 27B has downloadable open weights; the other is API-only.
Side by side
| Chatgpt 4o Latest 20250326 | Qwen3.8 27B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 43.2 | 45.3 |
| Released | — | 2026-08-14 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.99 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 21 | 28 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.8 27B leads
Chatgpt 4o Latest 20250326: 41.0 (#122), Qwen3.8 27B: 50.3 (#42)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.8 27B |
|---|---|---|
| LMArena Coding | 1413 | 1487 |
| LMArena WebDev | — | 1592 |
| SciCode | — | 46.6% |
Reasoning Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 32.8 (#64), Qwen3.8 27B: 31.5 (#71)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.8 27B |
|---|---|---|
| LMArena Hard Prompts | 1424 | 1459 |
| Kagi LLM Benchmark | 75% | — |
| NYT Connections (extended) | — | 54.5% |
| CritPt | — | 5.4% |
| DTBench | — | 88% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| Epoch Capabilities Index | — | 149.38 |
Math Too close to call
Chatgpt 4o Latest 20250326: 35.8 (#134), Qwen3.8 27B: 35.7 (#139)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.8 27B |
|---|---|---|
| LMArena Math | 1407 | 1453 |
| ProofBench | — | 16% |
Knowledge Qwen3.8 27B leads
Chatgpt 4o Latest 20250326: 38.7 (#131), Qwen3.8 27B: 40.9 (#105)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | 1400 | 1482 |
| Confabulations | 16.6% | — |
Multimodal Qwen3.8 27B leads
Chatgpt 4o Latest 20250326: 38.9 (#54), Qwen3.8 27B: 40.5 (#36)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | 1243 | 1270 |
Multilingual Too close to call
Chatgpt 4o Latest 20250326: 53.1 (#72), Qwen3.8 27B: 54.0 (#54)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | 1419 | 1431 |
| LMArena Chinese | 1456 | 1504 |
| LMArena French | 1447 | 1468 |
| LMArena German | 1424 | 1435 |
| LMArena Japanese | 1406 | 1392 |
| LMArena Korean | 1397 | 1389 |
| LMArena Russian | 1429 | 1421 |
| LMArena Spanish | 1435 | 1444 |
Instruction Following Qwen3.8 27B leads
Chatgpt 4o Latest 20250326: 74.2 (#102), Qwen3.8 27B: 75.8 (#54)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | 1403 | 1436 |
Long Context Qwen3.8 27B leads
Chatgpt 4o Latest 20250326: 43.1 (#104), Qwen3.8 27B: 44.3 (#66)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | 1413 | 1448 |
Writing & Preference Qwen3.8 27B leads
Chatgpt 4o Latest 20250326: 62.8 (#68), Qwen3.8 27B: 65.9 (#41)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.8 27B |
|---|---|---|
| LMArena Text | 1429 | 1441 |
| LMArena Creative Writing | 1406 | 1382 |
| EQ-Bench Creative Writing | 1501 | 1671 |
| LMArena Multi-Turn | 1454 | 1443 |
Frequently asked questions
Is Chatgpt 4o Latest 20250326 better than Qwen3.8 27B?
Qwen3.8 27B is the stronger model overall, scoring 45.3 to 43.2 on the Noometry Index.
Is Chatgpt 4o Latest 20250326 or Qwen3.8 27B better for coding?
Qwen3.8 27B scores higher on coding benchmarks: 50.3 versus 41.0 in the Noometry coding category.
How many benchmarks do Chatgpt 4o Latest 20250326 and Qwen3.8 27B share?
19 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and Qwen3.8 27B has 28.