Model comparison
GPT-4V vs Qwen3.8 Max
Qwen3.8 Max has enough public results to be ranked (#22); GPT-4V does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in multimodal, where Qwen3.8 Max leads 37.2 to 33.2.
Side by side
| GPT-4V | Qwen3.8 Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 36.4 | 56.8 |
| Released | 2023-11-06 | 2026-08-02 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 1 | 39 |
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Category by category
Coding Not comparable
GPT-4V: —, Qwen3.8 Max: 53.5 (#29)
| Benchmark | GPT-4V | Qwen3.8 Max |
|---|---|---|
| DeepSWE | — | 57.5% |
| LMArena WebDev | — | 1674 |
| FrontierSWE | — | 17.8% |
| SciCode | — | 53.2% |
| LMArena Coding | — | 1502 |
Agentic & Tool Use Not comparable
GPT-4V: —, Qwen3.8 Max: 45.4 (#14)
| Benchmark | GPT-4V | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | — | 63.3% |
| τ²-bench Banking | — | 55.1% |
| GDP.pdf | — | 23.2% |
Reasoning Not comparable
GPT-4V: —, Qwen3.8 Max: 54.4 (#26)
| Benchmark | GPT-4V | Qwen3.8 Max |
|---|---|---|
| NYT Connections (extended) | — | 88.3% |
| CritPt | — | 20% |
| Chess Puzzles | — | 40% |
| LMArena Hard Prompts | — | 1496 |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LMCA | — | 46.2% |
| Epoch Capabilities Index | — | 156.41 |
Math Not comparable
GPT-4V: —, Qwen3.8 Max: 73.2 (#20)
| Benchmark | GPT-4V | Qwen3.8 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 58% |
| LMArena Math | — | 1499 |
Knowledge Not comparable
GPT-4V: —, Qwen3.8 Max: 61.7 (#27)
| Benchmark | GPT-4V | Qwen3.8 Max |
|---|---|---|
| GPQA Diamond | — | 92.7% |
| SimpleQA Verified | — | 47.3% |
| LMArena Expert | — | 1507 |
Multimodal Qwen3.8 Max leads
GPT-4V: 33.2, Qwen3.8 Max: 37.2 (#75)
| Benchmark | GPT-4V | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | — | 1314 |
| Video-MME | 59.9% | — |
| Furniture Assembly | — | 20% |
Multilingual Not comparable
GPT-4V: —, Qwen3.8 Max: 56.7 (#18)
| Benchmark | GPT-4V | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | — | 1472 |
| LMArena Chinese | — | 1538 |
| LMArena French | — | 1503 |
| LMArena German | — | 1483 |
| LMArena Japanese | — | 1467 |
| LMArena Korean | — | 1461 |
| LMArena Russian | — | 1481 |
| LMArena Spanish | — | 1492 |
Instruction Following Not comparable
GPT-4V: —, Qwen3.8 Max: 77.6 (#17)
| Benchmark | GPT-4V | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | — | 1479 |
Long Context Not comparable
GPT-4V: —, Qwen3.8 Max: 45.6 (#31)
| Benchmark | GPT-4V | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | — | 1489 |
Writing & Preference Not comparable
GPT-4V: —, Qwen3.8 Max: 67.1 (#30)
| Benchmark | GPT-4V | Qwen3.8 Max |
|---|---|---|
| LMArena Text | — | 1483 |
| LMArena Creative Writing | — | 1479 |
| LMArena Multi-Turn | — | 1489 |
Frequently asked questions
Is GPT-4V better than Qwen3.8 Max?
Qwen3.8 Max has enough public results to be ranked (#22); GPT-4V does not yet, so treat this comparison as directional.
How many benchmarks do GPT-4V and Qwen3.8 Max share?
0 benchmarks have published results for both models. GPT-4V has 1 scored results on Noometry and Qwen3.8 Max has 39.