Model comparison
GPT-5 Pro vs Qwen3.8 27B
GPT-5 Pro and Qwen3.8 27B score almost the same on the Noometry Index (46.4 vs 46.0), so choose on price, context window or the category you care about most.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. GPT-5 Pro scores higher in 2 categories and Qwen3.8 27B in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Pro leads 56.7 to 41.6.
- The biggest single-benchmark swing is ARC-AGI-2: 18.3% for GPT-5 Pro and 42.4% for Qwen3.8 27B.
- Qwen3.8 27B is cheaper at $0.99 / $1.49 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 262K.
- Qwen3.8 27B has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Pro | Qwen3.8 27B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 46.4 | 46.0 |
| Released | 2025-10-06 | 2026-08-14 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 272K | 33K |
| Input $ / M tokens | $15 | $0.99 |
| Output $ / M tokens | $120 | $1.49 |
| Results tracked | 12 | 31 |
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Category by category
Coding Qwen3.8 27B leads
GPT-5 Pro: 44.0 (#80), Qwen3.8 27B: 50.5 (#44)
| Benchmark | GPT-5 Pro | Qwen3.8 27B |
|---|---|---|
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
| WeirdML | 60.4% | — |
| LMArena Coding | — | 1482 |
| AlgoTune | 1.31 | — |
Agentic & Tool Use Not comparable
GPT-5 Pro: —, Qwen3.8 27B: 32.9 (#57)
| Benchmark | GPT-5 Pro | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
Reasoning Qwen3.8 27B leads
GPT-5 Pro: 38.9 (#62), Qwen3.8 27B: 41.0 (#54)
| Benchmark | GPT-5 Pro | Qwen3.8 27B |
|---|---|---|
| ARC-AGI-2 | 18.3% | 42.4% |
| ARC-AGI-1 | 70.2% | 87.5% |
| Epoch Capabilities Index | 150.28 | 149.38 |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| NYT Connections (extended) | — | 54.5% |
| CritPt | — | 5.4% |
| EnigmaEval | 18.8% | — |
| LMArena Hard Prompts | — | 1460 |
| DTBench | — | 88% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
Math GPT-5 Pro leads
GPT-5 Pro: 48.5 (#63), Qwen3.8 27B: 37.1 (#161)
| Benchmark | GPT-5 Pro | Qwen3.8 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| ProofBench | — | 16% |
| LMArena Math | — | 1456 |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.7 (#42), Qwen3.8 27B: 41.6 (#109)
| Benchmark | GPT-5 Pro | Qwen3.8 27B |
|---|---|---|
| Humanity's Last Exam | 31.6% | — |
| LMArena Expert | — | 1482 |
Multimodal Not comparable
GPT-5 Pro: —, Qwen3.8 27B: 41.3 (#37)
| Benchmark | GPT-5 Pro | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |
Multilingual Not comparable
GPT-5 Pro: —, Qwen3.8 27B: 53.7 (#60)
| Benchmark | GPT-5 Pro | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | — | 1430 |
| LMArena Chinese | — | 1504 |
| LMArena French | — | 1465 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1384 |
| LMArena Korean | — | 1393 |
| LMArena Russian | — | 1415 |
| LMArena Spanish | — | 1448 |
Instruction Following Not comparable
GPT-5 Pro: —, Qwen3.8 27B: 75.8 (#53)
| Benchmark | GPT-5 Pro | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | — | 1439 |
Long Context Not comparable
GPT-5 Pro: —, Qwen3.8 27B: 44.3 (#70)
| Benchmark | GPT-5 Pro | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | — | 1450 |
Writing & Preference Not comparable
GPT-5 Pro: —, Qwen3.8 27B: 65.8 (#43)
| Benchmark | GPT-5 Pro | Qwen3.8 27B |
|---|---|---|
| LMArena Text | — | 1441 |
| LMArena Creative Writing | — | 1384 |
| EQ-Bench Creative Writing | — | 1671 |
| LMArena Multi-Turn | — | 1441 |
Frequently asked questions
Is GPT-5 Pro better than Qwen3.8 27B?
GPT-5 Pro and Qwen3.8 27B score almost the same on the Noometry Index (46.4 vs 46.0), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5 Pro or Qwen3.8 27B?
Qwen3.8 27B is cheaper. It lists at $0.99 per million input tokens and $1.49 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is GPT-5 Pro or Qwen3.8 27B better for coding?
Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 44.0 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 262K.
How many benchmarks do GPT-5 Pro and Qwen3.8 27B share?
3 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and Qwen3.8 27B has 31.