Model comparison
GPT-5.4 nano vs Qwen3.5 27B
GPT-5.4 nano and Qwen3.5 27B score almost the same on the Noometry Index (41.9 vs 41.9), so choose on price, context window or the category you care about most.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. GPT-5.4 nano scores higher in 3 categories and Qwen3.5 27B in 6 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-5.4 nano leads 43.6 to 38.9.
- The biggest single-benchmark swing is WeirdML: 49.2% for GPT-5.4 nano and 39.5% for Qwen3.5 27B.
- GPT-5.4 nano is cheaper at $0.20 / $1.25 per million input/output tokens, against $0.30 / $2.40 for Qwen3.5 27B.
- GPT-5.4 nano accepts more context: 400K tokens versus 262K.
- Qwen3.5 27B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 nano | Qwen3.5 27B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 41.9 | 41.9 |
| Released | 2026-03-17 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $0.20 | $0.30 |
| Output $ / M tokens | $1.25 | $2.40 |
| Results tracked | 40 | 28 |
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Category by category
Coding GPT-5.4 nano leads
GPT-5.4 nano: 43.6 (#84), Qwen3.5 27B: 38.9 (#168)
| Benchmark | GPT-5.4 nano | Qwen3.5 27B |
|---|---|---|
| WeirdML | 49.2% | 39.5% |
| LMArena Coding | 1405 | 1427 |
| ALE-Bench | 1,005 | 349.45 |
| LMArena WebDev | — | 1358 |
| SciCode | 46.9% | — |
Agentic & Tool Use Not comparable
GPT-5.4 nano: —, Qwen3.5 27B: —
| Benchmark | GPT-5.4 nano | Qwen3.5 27B |
|---|---|---|
| Vending-Bench 2 | — | 201.98 |
Reasoning Qwen3.5 27B leads
GPT-5.4 nano: 23.7 (#173), Qwen3.5 27B: 27.5 (#117)
| Benchmark | GPT-5.4 nano | Qwen3.5 27B |
|---|---|---|
| LMArena Hard Prompts | 1381 | 1414 |
| DTBench | 80.3% | 82.4% |
| LMCA | 36.9% | 34% |
| ARC-AGI-2 | 5.7% | — |
| Kagi LLM Benchmark | 39.7% | — |
| NYT Connections (extended) | — | 47.9% |
| ARC-AGI-1 | 51.5% | — |
| CritPt | 9.3% | — |
| Chess Puzzles | 30% | — |
| Thematic Generalization | — | 45.5% |
| Mystery Game Puzzles | 9% | — |
| Epoch Capabilities Index | 145.81 | — |
| ForecastBench | 57.3 | — |
Math GPT-5.4 nano leads
GPT-5.4 nano: 40.9 (#88), Qwen3.5 27B: 38.8 (#127)
| Benchmark | GPT-5.4 nano | Qwen3.5 27B |
|---|---|---|
| LMArena Math | 1406 | 1429 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| MathArena Final-Answer Competitions | — | 56.7% |
| OTIS Mock AIME 2024-2025 | 87.8% | — |
| ProofBench | 5% | — |
| FrontierMath (Feb 2025 set) | 25.9% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
Knowledge GPT-5.4 nano leads
GPT-5.4 nano: 41.9 (#103), Qwen3.5 27B: 38.0 (#150)
| Benchmark | GPT-5.4 nano | Qwen3.5 27B |
|---|---|---|
| Vectara Hallucination Rate | 3.1% | 12.1% |
| LMArena Expert | 1396 | 1428 |
| GPQA Diamond | 78.5% | — |
| SimpleQA Verified | 11.7% | — |
Multimodal Qwen3.5 27B leads
GPT-5.4 nano: 36.7 (#78), Qwen3.5 27B: 39.4 (#59)
| Benchmark | GPT-5.4 nano | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | 1196 | 1241 |
Multilingual Qwen3.5 27B leads
GPT-5.4 nano: 48.6 (#140), Qwen3.5 27B: 50.8 (#115)
| Benchmark | GPT-5.4 nano | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | 1359 | 1390 |
| LMArena Chinese | 1392 | 1478 |
| LMArena French | 1396 | 1410 |
| LMArena German | 1367 | 1393 |
| LMArena Japanese | 1343 | 1345 |
| LMArena Korean | 1320 | 1358 |
| LMArena Russian | 1363 | 1390 |
| LMArena Spanish | 1371 | 1407 |
Instruction Following Qwen3.5 27B leads
GPT-5.4 nano: 71.9 (#144), Qwen3.5 27B: 73.5 (#119)
| Benchmark | GPT-5.4 nano | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | 1362 | 1393 |
Long Context Qwen3.5 27B leads
GPT-5.4 nano: 41.6 (#137), Qwen3.5 27B: 43.1 (#106)
| Benchmark | GPT-5.4 nano | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | 1366 | 1413 |
Writing & Preference Qwen3.5 27B leads
GPT-5.4 nano: 55.7 (#142), Qwen3.5 27B: 59.3 (#111)
| Benchmark | GPT-5.4 nano | Qwen3.5 27B |
|---|---|---|
| LMArena Text | 1372 | 1409 |
| LMArena Creative Writing | 1314 | 1362 |
| LMArena Multi-Turn | 1382 | 1410 |
Frequently asked questions
Is GPT-5.4 nano better than Qwen3.5 27B?
GPT-5.4 nano and Qwen3.5 27B score almost the same on the Noometry Index (41.9 vs 41.9), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5.4 nano or Qwen3.5 27B?
GPT-5.4 nano is cheaper. It lists at $0.20 per million input tokens and $1.25 per million output tokens; Qwen3.5 27B lists at $0.30 and $2.40.
Is GPT-5.4 nano or Qwen3.5 27B better for coding?
GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 nano does, with 400K tokens against 262K.
How many benchmarks do GPT-5.4 nano and Qwen3.5 27B share?
23 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Qwen3.5 27B has 28.