Model comparison
GPT-5.5 Instant vs Qwen2.5-Coder-32B
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 33.4 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. GPT-5.5 Instant scores higher in 7 categories and Qwen2.5-Coder-32B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-5.5 Instant leads 44.3 to 22.6.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Instant | Qwen2.5-Coder-32B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.7 | 33.4 |
| Released | 2026-05-05 | 2024-09-18 |
| Weights | Proprietary | Open |
| Context window | — | 33K |
| Max output | — | 29K |
| Input $ / M tokens | — | $0.66 |
| Output $ / M tokens | — | $1 |
| Results tracked | 27 | 31 |
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Category by category
Coding GPT-5.5 Instant leads
GPT-5.5 Instant: 44.3 (#74), Qwen2.5-Coder-32B: 22.6 (#333)
| Benchmark | GPT-5.5 Instant | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Coding | 1433 | 1276 |
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| SciCode | 48.6% | — |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| BigCodeBench Complete | — | 58% |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |
Reasoning GPT-5.5 Instant leads
GPT-5.5 Instant: 24.9 (#155), Qwen2.5-Coder-32B: 21.2 (#225)
| Benchmark | GPT-5.5 Instant | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1251 |
| Epoch Capabilities Index | 142.52 | 119.49 |
| CritPt | 0% | — |
| Chess Puzzles | 12% | — |
| LiveBench Reasoning | — | 42.1% |
| LiveBench Data Analysis | — | 49.9% |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |
Math Qwen2.5-Coder-32B leads
GPT-5.5 Instant: 26.5 (#259), Qwen2.5-Coder-32B: 33.3 (#204)
| Benchmark | GPT-5.5 Instant | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Math | 1420 | 1251 |
| FrontierMath (Tiers 1-3) | 26.3% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 68.1% | — |
| LiveBench Math | — | 46.6% |
| GSM8K | — | 93% |
Knowledge GPT-5.5 Instant leads
GPT-5.5 Instant: 48.9 (#74), Qwen2.5-Coder-32B: 33.4 (#203)
| Benchmark | GPT-5.5 Instant | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1409 | 1221 |
| GPQA Diamond | 82.5% | — |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |
Multimodal Not comparable
GPT-5.5 Instant: 40.0 (#52), Qwen2.5-Coder-32B: —
| Benchmark | GPT-5.5 Instant | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Vision | 1250 | — |
| LMArena Document | 1403 | — |
Multilingual GPT-5.5 Instant leads
GPT-5.5 Instant: 52.8 (#80), Qwen2.5-Coder-32B: 37.8 (#235)
| Benchmark | GPT-5.5 Instant | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1417 | 1205 |
| LMArena Chinese | 1456 | 1222 |
| LMArena Russian | 1431 | 1228 |
| LMArena French | 1428 | — |
| LMArena German | 1411 | — |
| LMArena Japanese | 1408 | — |
| LMArena Korean | 1392 | — |
| LMArena Spanish | 1429 | — |
Instruction Following GPT-5.5 Instant leads
GPT-5.5 Instant: 74.2 (#100), Qwen2.5-Coder-32B: 61.4 (#245)
| Benchmark | GPT-5.5 Instant | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1223 |
| LiveBench Instruction Following | — | 58.7% |
Long Context GPT-5.5 Instant leads
GPT-5.5 Instant: 43.4 (#96), Qwen2.5-Coder-32B: 38.0 (#208)
| Benchmark | GPT-5.5 Instant | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1422 | 1251 |
Writing & Preference GPT-5.5 Instant leads
GPT-5.5 Instant: 61.8 (#85), Qwen2.5-Coder-32B: 41.6 (#240)
| Benchmark | GPT-5.5 Instant | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1419 | 1230 |
| LMArena Creative Writing | 1419 | 1174 |
| LMArena Multi-Turn | 1433 | 1222 |
| LiveBench Language | — | 23.3% |
Frequently asked questions
Is GPT-5.5 Instant better than Qwen2.5-Coder-32B?
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 33.4 on the Noometry Index.
Is GPT-5.5 Instant or Qwen2.5-Coder-32B better for coding?
GPT-5.5 Instant scores higher on coding benchmarks: 44.3 versus 22.6 in the Noometry coding category.
How many benchmarks do GPT-5.5 Instant and Qwen2.5-Coder-32B share?
13 benchmarks have published results for both models. GPT-5.5 Instant has 27 scored results on Noometry and Qwen2.5-Coder-32B has 31.