Model comparison
GPT-5.4 nano vs Qwen3.6 Plus
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 41.9 on the Noometry Index. GPT-5.4 nano costs 2.4× less per token, which makes it the better buy when Qwen3.6 Plus's lead doesn't matter for your workload.
Last verified . 31 shared benchmarks.
Summary
- They share 31 benchmarks with published results for both. GPT-5.4 nano scores higher in 1 category and Qwen3.6 Plus in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Plus leads 56.1 to 41.9.
- The biggest single-benchmark swing is SimpleQA Verified: 11.7% for GPT-5.4 nano and 44.1% for Qwen3.6 Plus.
- GPT-5.4 nano is cheaper at $0.20 / $1.25 per million input/output tokens, against $0.50 / $3 for Qwen3.6 Plus.
- Qwen3.6 Plus accepts more context: 1M tokens versus 400K.
Side by side
| GPT-5.4 nano | Qwen3.6 Plus | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 41.9 | 47.5 |
| Released | 2026-03-17 | 2026-03-31 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1M |
| Max output | 128K | 66K |
| Input $ / M tokens | $0.20 | $0.50 |
| Output $ / M tokens | $1.25 | $3 |
| Results tracked | 40 | 37 |
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Category by category
Coding GPT-5.4 nano leads
GPT-5.4 nano: 43.6 (#84), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | GPT-5.4 nano | Qwen3.6 Plus |
|---|---|---|
| SciCode | 46.9% | 40.7% |
| LMArena Coding | 1405 | 1467 |
| ALE-Bench | 1,005 | 670.15 |
| SWE-bench Verified | — | 57.9% |
| LMArena WebDev | — | 1461 |
| WeirdML | 49.2% | — |
Agentic & Tool Use Not comparable
GPT-5.4 nano: —, Qwen3.6 Plus: —
| Benchmark | GPT-5.4 nano | Qwen3.6 Plus |
|---|---|---|
| Vending-Bench 2 | — | 5,115 |
Reasoning Qwen3.6 Plus leads
GPT-5.4 nano: 23.7 (#173), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | GPT-5.4 nano | Qwen3.6 Plus |
|---|---|---|
| CritPt | 9.3% | 2.9% |
| Chess Puzzles | 30% | 17% |
| LMArena Hard Prompts | 1381 | 1449 |
| Mystery Game Puzzles | 9% | 12% |
| DTBench | 80.3% | 81.9% |
| LMCA | 36.9% | 33.1% |
| Epoch Capabilities Index | 145.81 | 147.65 |
| ARC-AGI-2 | 5.7% | — |
| Kagi LLM Benchmark | 39.7% | — |
| NYT Connections (extended) | — | 60.3% |
| ARC-AGI-1 | 51.5% | — |
| Thematic Generalization | — | 59.5% |
| ForecastBench | 57.3 | — |
Math Qwen3.6 Plus leads
GPT-5.4 nano: 40.9 (#88), Qwen3.6 Plus: 51.8 (#54)
| Benchmark | GPT-5.4 nano | Qwen3.6 Plus |
|---|---|---|
| FrontierMath (Tiers 1-3) | 44.9% | 38.2% |
| OTIS Mock AIME 2024-2025 | 87.8% | 93.3% |
| LMArena Math | 1406 | 1450 |
| FrontierMath (Feb 2025 set) | 25.9% | 26.2% |
| FrontierMath Tier 4 (v1) | 6.3% | 8.3% |
| FrontierMath Tier 4 | 12.2% | — |
| ProofBench | 5% | — |
Knowledge Qwen3.6 Plus leads
GPT-5.4 nano: 41.9 (#103), Qwen3.6 Plus: 56.1 (#45)
| Benchmark | GPT-5.4 nano | Qwen3.6 Plus |
|---|---|---|
| GPQA Diamond | 78.5% | 88.4% |
| SimpleQA Verified | 11.7% | 44.1% |
| LMArena Expert | 1396 | 1454 |
| Vectara Hallucination Rate | 3.1% | — |
Multimodal Not comparable
GPT-5.4 nano: 36.7 (#78), Qwen3.6 Plus: —
| Benchmark | GPT-5.4 nano | Qwen3.6 Plus |
|---|---|---|
| LMArena Vision | 1196 | — |
Multilingual Qwen3.6 Plus leads
GPT-5.4 nano: 48.6 (#140), Qwen3.6 Plus: 53.3 (#70)
| Benchmark | GPT-5.4 nano | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | 1359 | 1424 |
| LMArena Chinese | 1392 | 1477 |
| LMArena French | 1396 | 1455 |
| LMArena German | 1367 | 1452 |
| LMArena Japanese | 1343 | 1389 |
| LMArena Korean | 1320 | 1379 |
| LMArena Russian | 1363 | 1434 |
| LMArena Spanish | 1371 | 1432 |
Instruction Following Qwen3.6 Plus leads
GPT-5.4 nano: 71.9 (#144), Qwen3.6 Plus: 75.0 (#74)
| Benchmark | GPT-5.4 nano | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | 1362 | 1425 |
Long Context Qwen3.6 Plus leads
GPT-5.4 nano: 41.6 (#137), Qwen3.6 Plus: 45.2 (#49)
| Benchmark | GPT-5.4 nano | Qwen3.6 Plus |
|---|---|---|
| LMArena Longer Query | 1366 | 1439 |
| CL-bench | — | 20.3% |
Writing & Preference Qwen3.6 Plus leads
GPT-5.4 nano: 55.7 (#142), Qwen3.6 Plus: 62.2 (#82)
| Benchmark | GPT-5.4 nano | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | 1372 | 1437 |
| LMArena Creative Writing | 1314 | 1404 |
| LMArena Multi-Turn | 1382 | 1438 |
Frequently asked questions
Is GPT-5.4 nano better than Qwen3.6 Plus?
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 41.9 on the Noometry Index. GPT-5.4 nano costs 2.4× less per token, which makes it the better buy when Qwen3.6 Plus's lead doesn't matter for your workload.
Which is cheaper, GPT-5.4 nano or Qwen3.6 Plus?
GPT-5.4 nano is cheaper. It lists at $0.20 per million input tokens and $1.25 per million output tokens; Qwen3.6 Plus lists at $0.50 and $3.
Is GPT-5.4 nano or Qwen3.6 Plus better for coding?
GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 40.8 in the Noometry coding category.
Which has the bigger context window?
Qwen3.6 Plus does, with 1M tokens against 400K.
How many benchmarks do GPT-5.4 nano and Qwen3.6 Plus share?
31 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Qwen3.6 Plus has 37.