Model comparison
Chatgpt 4o Latest 20250326 vs Qwen3.5-9B
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 33.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Chatgpt 4o Latest 20250326 leads 32.8 to 22.5.
- Qwen3.5-9B has downloadable open weights; the other is API-only.
Side by side
| Chatgpt 4o Latest 20250326 | Qwen3.5-9B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 43.2 | 33.3 |
| Released | — | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 21 | 10 |
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Category by category
Coding Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 41.0 (#122), Qwen3.5-9B: 35.3 (#213)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LMArena Coding | 1413 | — |
Agentic & Tool Use Not comparable
Chatgpt 4o Latest 20250326: —, Qwen3.5-9B: 14.4 (#143)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 32.8 (#64), Qwen3.5-9B: 22.5 (#178)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.5-9B |
|---|---|---|
| Kagi LLM Benchmark | 75% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1424 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.45 |
Math Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 35.8 (#134), Qwen3.5-9B: 33.5 (#174)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1407 | — |
Knowledge Qwen3.5-9B leads
Chatgpt 4o Latest 20250326: 38.7 (#131), Qwen3.5-9B: 46.0 (#77)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| Confabulations | 16.6% | — |
| LMArena Expert | 1400 | — |
Multimodal Not comparable
Chatgpt 4o Latest 20250326: 38.9 (#54), Qwen3.5-9B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.5-9B |
|---|---|---|
| LMArena Vision | 1243 | — |
Multilingual Not comparable
Chatgpt 4o Latest 20250326: 53.1 (#72), Qwen3.5-9B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1419 | — |
| LMArena Chinese | 1456 | — |
| LMArena French | 1447 | — |
| LMArena German | 1424 | — |
| LMArena Japanese | 1406 | — |
| LMArena Korean | 1397 | — |
| LMArena Russian | 1429 | — |
| LMArena Spanish | 1435 | — |
Instruction Following Not comparable
Chatgpt 4o Latest 20250326: 74.2 (#102), Qwen3.5-9B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1403 | — |
Long Context Not comparable
Chatgpt 4o Latest 20250326: 43.1 (#104), Qwen3.5-9B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1413 | — |
Writing & Preference Not comparable
Chatgpt 4o Latest 20250326: 62.8 (#68), Qwen3.5-9B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1429 | — |
| LMArena Creative Writing | 1406 | — |
| EQ-Bench Creative Writing | 1501 | — |
| LMArena Multi-Turn | 1454 | — |
Frequently asked questions
Is Chatgpt 4o Latest 20250326 better than Qwen3.5-9B?
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 33.3 on the Noometry Index.
Is Chatgpt 4o Latest 20250326 or Qwen3.5-9B better for coding?
Chatgpt 4o Latest 20250326 scores higher on coding benchmarks: 41.0 versus 35.3 in the Noometry coding category.
How many benchmarks do Chatgpt 4o Latest 20250326 and Qwen3.5-9B share?
0 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and Qwen3.5-9B has 10.