Model comparison
Chatgpt 4o Latest 20250326 vs Qwen3-Coder 480B-A35B Instruct
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 37.7 on the Noometry Index.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Chatgpt 4o Latest 20250326 scores higher in 8 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Chatgpt 4o Latest 20250326 leads 32.8 to 24.7.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 75% for Chatgpt 4o Latest 20250326 and 49.5% for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Chatgpt 4o Latest 20250326 | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 43.2 | 37.7 |
| Released | — | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 21 | 25 |
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Category by category
Coding Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 41.0 (#122), Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1413 | 1413 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Not comparable
Chatgpt 4o Latest 20250326: —, Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 32.8 (#64), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 75% | 49.5% |
| LMArena Hard Prompts | 1424 | 1372 |
Math Too close to call
Chatgpt 4o Latest 20250326: 35.8 (#134), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1407 | 1364 |
Knowledge Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 38.7 (#131), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1400 | 1337 |
| Confabulations | 16.6% | — |
Multimodal Not comparable
Chatgpt 4o Latest 20250326: 38.9 (#54), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1243 | — |
Multilingual Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 53.1 (#72), Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1419 | 1345 |
| LMArena Chinese | 1456 | 1356 |
| LMArena French | 1447 | 1394 |
| LMArena German | 1424 | 1324 |
| LMArena Japanese | 1406 | 1309 |
| LMArena Korean | 1397 | 1307 |
| LMArena Russian | 1429 | 1367 |
| LMArena Spanish | 1435 | 1360 |
Instruction Following Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 74.2 (#102), Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1403 | 1356 |
Long Context Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 43.1 (#104), Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1413 | 1379 |
Writing & Preference Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 62.8 (#68), Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1429 | 1356 |
| LMArena Creative Writing | 1406 | 1333 |
| LMArena Multi-Turn | 1454 | 1365 |
| EQ-Bench Creative Writing | 1501 | — |
Frequently asked questions
Is Chatgpt 4o Latest 20250326 better than Qwen3-Coder 480B-A35B Instruct?
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 37.7 on the Noometry Index.
Is Chatgpt 4o Latest 20250326 or Qwen3-Coder 480B-A35B Instruct better for coding?
Chatgpt 4o Latest 20250326 scores higher on coding benchmarks: 41.0 versus 36.2 in the Noometry coding category.
How many benchmarks do Chatgpt 4o Latest 20250326 and Qwen3-Coder 480B-A35B Instruct share?
18 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.