Model comparison
GPT-5.6 Terra vs Qwen1.5 4b Chat
GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 28.8 on the Noometry Index.
Last verified . 13 shared benchmarks.
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. GPT-5.6 Terra scores higher in 8 categories and Qwen1.5 4b Chat in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 30.4.
- Qwen1.5 4b Chat has downloadable open weights; the other is API-only.
Side by side
| GPT-5.6 Terra | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 59.2 | 28.8 |
| Released | 2026-07-09 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $12 | — |
| Results tracked | 52 | 13 |
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Category by category
Coding GPT-5.6 Terra leads
GPT-5.6 Terra: 57.7 (#19), Qwen1.5 4b Chat: 29.1 (#308)
| Benchmark | GPT-5.6 Terra | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1484 | 999 |
| DeepSWE | 69.6% | — |
| FrontierCode | 41.3% | — |
| CursorBench | 41.3% | — |
| LMArena WebDev | 1522 | — |
| SciCode | 55% | — |
| WeirdML | 78.3% | — |
| ALE-Bench | 1,951 | — |
Agentic & Tool Use Not comparable
GPT-5.6 Terra: 40.1 (#25), Qwen1.5 4b Chat: —
| Benchmark | GPT-5.6 Terra | Qwen1.5 4b Chat |
|---|---|---|
| APEX-Agents | 58.2% | — |
| BALROG | 53.2% | — |
| GDP.pdf | 24.7% | — |
| Vending-Bench 2 | 7,343 | — |
Reasoning GPT-5.6 Terra leads
GPT-5.6 Terra: 60.7 (#21), Qwen1.5 4b Chat: 18.5 (#279)
| Benchmark | GPT-5.6 Terra | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1468 | 976 |
| ARC-AGI-2 | 83.9% | — |
| SimpleBench | 48.9% | — |
| Kagi LLM Benchmark | 51.3% | — |
| NYT Connections (extended) | 78.4% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30% | — |
| Chess Puzzles | 54% | — |
| Mystery Game Puzzles | 35% | — |
| DTBench | 93.3% | — |
| LMCA | 55% | — |
| Surface Evolver Bench | 83.8% | — |
| Epoch Capabilities Index | 159.62 | — |
Math GPT-5.6 Terra leads
GPT-5.6 Terra: 81.6 (#12), Qwen1.5 4b Chat: 30.4 (#234)
| Benchmark | GPT-5.6 Terra | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1466 | 1026 |
| FrontierMath (Tiers 1-3) | 86% | — |
| FrontierMath Tier 4 | 70.7% | — |
| OTIS Mock AIME 2024-2025 | 99.7% | — |
| ProofBench | 74% | — |
Knowledge GPT-5.6 Terra leads
GPT-5.6 Terra: 61.2 (#30), Qwen1.5 4b Chat: 26.7 (#255)
| Benchmark | GPT-5.6 Terra | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1492 | 980 |
| GPQA Diamond | 93.3% | — |
| SimpleQA Verified | 43.2% | — |
Multimodal Not comparable
GPT-5.6 Terra: 47.3 (#11), Qwen1.5 4b Chat: —
| Benchmark | GPT-5.6 Terra | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Vision | 1271 | — |
| Blueprint-Bench 2 | 30.8% | — |
| Furniture Assembly | 54.2% | — |
| LMArena Document | 1472 | — |
Multilingual GPT-5.6 Terra leads
GPT-5.6 Terra: 54.4 (#44), Qwen1.5 4b Chat: 24.1 (#290)
| Benchmark | GPT-5.6 Terra | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1439 | 979 |
| LMArena Chinese | 1513 | 1024 |
| LMArena German | 1460 | 902 |
| LMArena Russian | 1450 | 952 |
| LMArena French | 1471 | — |
| LMArena Japanese | 1457 | — |
| LMArena Korean | 1425 | — |
| LMArena Spanish | 1448 | — |
Instruction Following GPT-5.6 Terra leads
GPT-5.6 Terra: 76.4 (#40), Qwen1.5 4b Chat: 49.0 (#300)
| Benchmark | GPT-5.6 Terra | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1454 | 978 |
Long Context GPT-5.6 Terra leads
GPT-5.6 Terra: 44.4 (#68), Qwen1.5 4b Chat: 30.1 (#290)
| Benchmark | GPT-5.6 Terra | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1451 | 988 |
Writing & Preference GPT-5.6 Terra leads
GPT-5.6 Terra: 70.2 (#23), Qwen1.5 4b Chat: 23.8 (#309)
| Benchmark | GPT-5.6 Terra | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1447 | 997 |
| LMArena Creative Writing | 1410 | 969 |
| LMArena Multi-Turn | 1449 | 977 |
| EQ-Bench Creative Writing | 1855 | — |
| EQ-Bench 4 | 1234 | — |
Frequently asked questions
Is GPT-5.6 Terra better than Qwen1.5 4b Chat?
GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 28.8 on the Noometry Index.
Is GPT-5.6 Terra or Qwen1.5 4b Chat better for coding?
GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 29.1 in the Noometry coding category.
How many benchmarks do GPT-5.6 Terra and Qwen1.5 4b Chat share?
13 benchmarks have published results for both models. GPT-5.6 Terra has 52 scored results on Noometry and Qwen1.5 4b Chat has 13.