Model comparison
Chatgpt 4o Latest 20250326 vs Qwen3-1.7B
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 26.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where Chatgpt 4o Latest 20250326 leads 35.8 to 15.4.
- Qwen3-1.7B has downloadable open weights; the other is API-only.
Side by side
| Chatgpt 4o Latest 20250326 | Qwen3-1.7B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 43.2 | 26.2 |
| Released | — | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 21 | 4 |
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Category by category
Coding Not comparable
Chatgpt 4o Latest 20250326: 41.0 (#122), Qwen3-1.7B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-1.7B |
|---|---|---|
| LMArena Coding | 1413 | — |
Agentic & Tool Use Not comparable
Chatgpt 4o Latest 20250326: —, Qwen3-1.7B: 24.5 (#108)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 32.8 (#64), Qwen3-1.7B: 18.5 (#263)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-1.7B |
|---|---|---|
| Kagi LLM Benchmark | 75% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1424 | — |
Math Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 35.8 (#134), Qwen3-1.7B: 15.4 (#288)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| LMArena Math | 1407 | — |
Knowledge Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 38.7 (#131), Qwen3-1.7B: 19.6 (#273)
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| Confabulations | 16.6% | — |
| LMArena Expert | 1400 | — |
Multimodal Not comparable
Chatgpt 4o Latest 20250326: 38.9 (#54), Qwen3-1.7B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-1.7B |
|---|---|---|
| LMArena Vision | 1243 | — |
Multilingual Not comparable
Chatgpt 4o Latest 20250326: 53.1 (#72), Qwen3-1.7B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-1.7B |
|---|---|---|
| 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), Qwen3-1.7B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1403 | — |
Long Context Not comparable
Chatgpt 4o Latest 20250326: 43.1 (#104), Qwen3-1.7B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1413 | — |
Writing & Preference Not comparable
Chatgpt 4o Latest 20250326: 62.8 (#68), Qwen3-1.7B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Qwen3-1.7B |
|---|---|---|
| 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 Qwen3-1.7B?
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 26.2 on the Noometry Index.
How many benchmarks do Chatgpt 4o Latest 20250326 and Qwen3-1.7B share?
0 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and Qwen3-1.7B has 4.