Model comparison
Qwen3.8 27B vs Qwen3 Max
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 43.7 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Qwen3.8 27B scores higher in 6 categories and Qwen3 Max in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.8 27B leads 41.0 to 22.6.
- The biggest single-benchmark swing is NYT Connections (extended): 54.5% for Qwen3.8 27B and 30.1% for Qwen3 Max.
- Qwen3.8 27B is cheaper at $0.99 / $1.49 per million input/output tokens, against $1.20 / $6 for Qwen3 Max.
- Qwen3.8 27B has downloadable open weights; the other is API-only.
Side by side
| Qwen3.8 27B | Qwen3 Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 46.0 | 43.7 |
| Released | 2026-08-14 | 2025-09-23 |
| Weights | Open | Proprietary |
| Context window | 262K | 262K |
| Max output | 33K | 66K |
| Input $ / M tokens | $0.99 | $1.20 |
| Output $ / M tokens | $1.49 | $6 |
| Results tracked | 31 | 33 |
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Category by category
Coding Qwen3.8 27B leads
Qwen3.8 27B: 50.5 (#44), Qwen3 Max: 43.0 (#93)
| Benchmark | Qwen3.8 27B | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1482 | 1456 |
| LMArena WebDev | 1593 | — |
| SciCode | 46.6% | — |
| ALE-Bench | — | 370.45 |
Agentic & Tool Use Not comparable
Qwen3.8 27B: 32.9 (#57), Qwen3 Max: —
| Benchmark | Qwen3.8 27B | Qwen3 Max |
|---|---|---|
| APEX-Agents | 47.5% | — |
| Vending-Bench 2 | — | 71.56 |
Reasoning Qwen3.8 27B leads
Qwen3.8 27B: 41.0 (#54), Qwen3 Max: 22.6 (#190)
| Benchmark | Qwen3.8 27B | Qwen3 Max |
|---|---|---|
| NYT Connections (extended) | 54.5% | 30.1% |
| LMArena Hard Prompts | 1460 | 1448 |
| DTBench | 88% | 82.1% |
| LMCA | 41.4% | 28.3% |
| Epoch Capabilities Index | 149.38 | 142.38 |
| ARC-AGI-2 | 42.4% | — |
| Kagi LLM Benchmark | — | 72.5% |
| ARC-AGI-1 | 87.5% | — |
| CritPt | 5.4% | — |
| Chess Puzzles | — | 4% |
| Mystery Game Puzzles | — | 5% |
| Surface Evolver Bench | 45% | — |
Math Qwen3 Max leads
Qwen3.8 27B: 37.1 (#161), Qwen3 Max: 38.7 (#131)
| Benchmark | Qwen3.8 27B | Qwen3 Max |
|---|---|---|
| LMArena Math | 1456 | 1446 |
| FrontierMath (Tiers 1-3) | — | 18.9% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| ProofBench | 16% | — |
| MATH Level 5 | — | 97.1% |
Knowledge Qwen3 Max leads
Qwen3.8 27B: 41.6 (#109), Qwen3 Max: 48.1 (#78)
| Benchmark | Qwen3.8 27B | Qwen3 Max |
|---|---|---|
| LMArena Expert | 1482 | 1455 |
| GPQA Diamond | — | 72.6% |
| SimpleQA Verified | — | 48.7% |
Multimodal Not comparable
Qwen3.8 27B: 41.3 (#37), Qwen3 Max: —
| Benchmark | Qwen3.8 27B | Qwen3 Max |
|---|---|---|
| LMArena Vision | 1271 | — |
Multilingual Too close to call
Qwen3.8 27B: 53.7 (#60), Qwen3 Max: 53.7 (#62)
| Benchmark | Qwen3.8 27B | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 1430 | 1429 |
| LMArena Chinese | 1504 | 1478 |
| LMArena French | 1465 | 1449 |
| LMArena German | 1438 | 1463 |
| LMArena Japanese | 1384 | 1397 |
| LMArena Korean | 1393 | 1399 |
| LMArena Russian | 1415 | 1428 |
| LMArena Spanish | 1448 | 1462 |
Instruction Following Too close to call
Qwen3.8 27B: 75.8 (#53), Qwen3 Max: 74.8 (#87)
| Benchmark | Qwen3.8 27B | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1439 | 1419 |
Long Context Qwen3.8 27B leads
Qwen3.8 27B: 44.3 (#70), Qwen3 Max: 41.6 (#134)
| Benchmark | Qwen3.8 27B | Qwen3 Max |
|---|---|---|
| LMArena Longer Query | 1450 | 1438 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |
Writing & Preference Qwen3.8 27B leads
Qwen3.8 27B: 65.8 (#43), Qwen3 Max: 62.4 (#76)
| Benchmark | Qwen3.8 27B | Qwen3 Max |
|---|---|---|
| LMArena Text | 1441 | 1439 |
| LMArena Creative Writing | 1384 | 1402 |
| LMArena Multi-Turn | 1441 | 1446 |
| EQ-Bench Creative Writing | 1671 | — |
Frequently asked questions
Is Qwen3.8 27B better than Qwen3 Max?
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 43.7 on the Noometry Index.
Which is cheaper, Qwen3.8 27B or Qwen3 Max?
Qwen3.8 27B is cheaper. It lists at $0.99 per million input tokens and $1.49 per million output tokens; Qwen3 Max lists at $1.20 and $6.
Is Qwen3.8 27B or Qwen3 Max better for coding?
Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 43.0 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Qwen3.8 27B and Qwen3 Max share?
21 benchmarks have published results for both models. Qwen3.8 27B has 31 scored results on Noometry and Qwen3 Max has 33.