Model comparison
Chatgpt 4o Latest 20250326 vs Qwen3.6 27B
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.8 to 42.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 39.2.
- Qwen3.6 27B has downloadable open weights; the other is API-only.
Side by side
| Chatgpt 4o Latest 20250326 | Qwen3.6 27B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 43.8 | 42.2 |
| Released | — | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $3.60 |
| Results tracked | 21 | 11 |
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Category by category
Coding Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 41.6 (#122), Qwen3.6 27B: 39.1 (#163)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.6 27B |
|---|---|---|
| SciCode | — | 37.3% |
| LMArena Coding | 1413 | — |
Reasoning Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 33.8 (#71), Qwen3.6 27B: 25.0 (#153)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.6 27B |
|---|---|---|
| Kagi LLM Benchmark | 75% | — |
| CritPt | — | 0.9% |
| Chess Puzzles | — | 22% |
| LMArena Hard Prompts | 1424 | — |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 78.1% |
| LMCA | — | 34.5% |
| Epoch Capabilities Index | — | 146.5 |
Math Qwen3.6 27B leads
Chatgpt 4o Latest 20250326: 38.6 (#134), Qwen3.6 27B: 48.5 (#62)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 35.1% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| LMArena Math | 1407 | — |
Knowledge Qwen3.6 27B leads
Chatgpt 4o Latest 20250326: 39.2 (#137), Qwen3.6 27B: 52.4 (#63)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | — | 85.9% |
| Confabulations | 16.6% | — |
| LMArena Expert | 1401 | — |
Multimodal Not comparable
Chatgpt 4o Latest 20250326: 39.6 (#58), Qwen3.6 27B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.6 27B |
|---|---|---|
| LMArena Vision | 1243 | — |
Multilingual Not comparable
Chatgpt 4o Latest 20250326: 52.9 (#76), Qwen3.6 27B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.6 27B |
|---|---|---|
| LMArena Non-English | 1419 | — |
| LMArena Chinese | 1457 | — |
| LMArena French | 1446 | — |
| LMArena German | 1423 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1396 | — |
| LMArena Russian | 1429 | — |
| LMArena Spanish | 1434 | — |
Instruction Following Not comparable
Chatgpt 4o Latest 20250326: 74.0 (#107), Qwen3.6 27B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.6 27B |
|---|---|---|
| LMArena Instruction Following | 1403 | — |
Long Context Not comparable
Chatgpt 4o Latest 20250326: 43.1 (#107), Qwen3.6 27B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.6 27B |
|---|---|---|
| LMArena Longer Query | 1413 | — |
Writing & Preference Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 62.6 (#72), Qwen3.6 27B: 50.3 (#181)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.6 27B |
|---|---|---|
| LMArena Text | 1429 | — |
| LMArena Creative Writing | 1405 | — |
| EQ-Bench Creative Writing | 1501 | — |
| EQ-Bench 4 | — | 1026 |
| LMArena Multi-Turn | 1454 | — |
Frequently asked questions
Is Chatgpt 4o Latest 20250326 better than Qwen3.6 27B?
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.8 to 42.2 on the Noometry Index.
Is Chatgpt 4o Latest 20250326 or Qwen3.6 27B better for coding?
Chatgpt 4o Latest 20250326 scores higher on coding benchmarks: 41.6 versus 39.1 in the Noometry coding category.
How many benchmarks do Chatgpt 4o Latest 20250326 and Qwen3.6 27B share?
0 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and Qwen3.6 27B has 11.