Model comparison
Qwen3.5 122B-A10B vs Qwen3 Max
Qwen3 Max is the stronger model overall, scoring 43.7 to 42.1 on the Noometry Index. Qwen3.5 122B-A10B costs 2.2× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Qwen3.5 122B-A10B scores higher in 3 categories and Qwen3 Max in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 Max leads 48.1 to 38.8.
- The biggest single-benchmark swing is NYT Connections (extended): 51.7% for Qwen3.5 122B-A10B and 30.1% for Qwen3 Max.
- Qwen3.5 122B-A10B is cheaper at $0.40 / $3.20 per million input/output tokens, against $1.20 / $6 for Qwen3 Max.
- Qwen3.5 122B-A10B has downloadable open weights; the other is API-only.
Side by side
| Qwen3.5 122B-A10B | Qwen3 Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 42.1 | 43.7 |
| Released | 2026-02-23 | 2025-09-23 |
| Weights | Open | Proprietary |
| Context window | 262K | 262K |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.40 | $1.20 |
| Output $ / M tokens | $3.20 | $6 |
| Results tracked | 27 | 33 |
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Category by category
Coding Qwen3 Max leads
Qwen3.5 122B-A10B: 39.1 (#162), Qwen3 Max: 43.0 (#93)
| Benchmark | Qwen3.5 122B-A10B | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1436 | 1456 |
| LMArena WebDev | 1360 | — |
| SciCode | 35.6% | — |
| ALE-Bench | — | 370.45 |
Agentic & Tool Use Not comparable
Qwen3.5 122B-A10B: —, Qwen3 Max: —
| Benchmark | Qwen3.5 122B-A10B | Qwen3 Max |
|---|---|---|
| Vending-Bench 2 | — | 71.56 |
Reasoning Qwen3.5 122B-A10B leads
Qwen3.5 122B-A10B: 27.2 (#123), Qwen3 Max: 22.6 (#190)
| Benchmark | Qwen3.5 122B-A10B | Qwen3 Max |
|---|---|---|
| NYT Connections (extended) | 51.7% | 30.1% |
| LMArena Hard Prompts | 1421 | 1448 |
| Mystery Game Puzzles | 17% | 5% |
| DTBench | 84.3% | 82.1% |
| LMCA | 32.2% | 28.3% |
| Kagi LLM Benchmark | — | 72.5% |
| CritPt | 0.9% | — |
| Chess Puzzles | — | 4% |
| Thematic Generalization | 51.2% | — |
| Epoch Capabilities Index | — | 142.38 |
Math Too close to call
Qwen3.5 122B-A10B: 39.1 (#112), Qwen3 Max: 38.7 (#131)
| Benchmark | Qwen3.5 122B-A10B | Qwen3 Max |
|---|---|---|
| LMArena Math | 1432 | 1446 |
| FrontierMath (Tiers 1-3) | — | 18.9% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| MATH Level 5 | — | 97.1% |
Knowledge Qwen3 Max leads
Qwen3.5 122B-A10B: 38.8 (#142), Qwen3 Max: 48.1 (#78)
| Benchmark | Qwen3.5 122B-A10B | Qwen3 Max |
|---|---|---|
| LMArena Expert | 1432 | 1455 |
| GPQA Diamond | — | 72.6% |
| SimpleQA Verified | — | 48.7% |
| Vectara Hallucination Rate | 11.2% | — |
Multimodal Not comparable
Qwen3.5 122B-A10B: 39.6 (#57), Qwen3 Max: —
| Benchmark | Qwen3.5 122B-A10B | Qwen3 Max |
|---|---|---|
| LMArena Vision | 1245 | — |
Multilingual Qwen3 Max leads
Qwen3.5 122B-A10B: 51.6 (#107), Qwen3 Max: 53.7 (#62)
| Benchmark | Qwen3.5 122B-A10B | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 1400 | 1429 |
| LMArena Chinese | 1462 | 1478 |
| LMArena French | 1442 | 1449 |
| LMArena German | 1426 | 1463 |
| LMArena Japanese | 1367 | 1397 |
| LMArena Korean | 1352 | 1399 |
| LMArena Russian | 1400 | 1428 |
| LMArena Spanish | 1424 | 1462 |
Instruction Following Too close to call
Qwen3.5 122B-A10B: 73.8 (#115), Qwen3 Max: 74.8 (#87)
| Benchmark | Qwen3.5 122B-A10B | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1399 | 1419 |
Long Context Qwen3.5 122B-A10B leads
Qwen3.5 122B-A10B: 43.0 (#109), Qwen3 Max: 41.6 (#134)
| Benchmark | Qwen3.5 122B-A10B | Qwen3 Max |
|---|---|---|
| LMArena Longer Query | 1410 | 1438 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |
Writing & Preference Qwen3 Max leads
Qwen3.5 122B-A10B: 60.0 (#105), Qwen3 Max: 62.4 (#76)
| Benchmark | Qwen3.5 122B-A10B | Qwen3 Max |
|---|---|---|
| LMArena Text | 1417 | 1439 |
| LMArena Creative Writing | 1368 | 1402 |
| LMArena Multi-Turn | 1416 | 1446 |
Frequently asked questions
Is Qwen3.5 122B-A10B better than Qwen3 Max?
Qwen3 Max is the stronger model overall, scoring 43.7 to 42.1 on the Noometry Index. Qwen3.5 122B-A10B costs 2.2× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.
Which is cheaper, Qwen3.5 122B-A10B or Qwen3 Max?
Qwen3.5 122B-A10B is cheaper. It lists at $0.40 per million input tokens and $3.20 per million output tokens; Qwen3 Max lists at $1.20 and $6.
Is Qwen3.5 122B-A10B or Qwen3 Max better for coding?
Qwen3 Max scores higher on coding benchmarks: 43.0 versus 39.1 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Qwen3.5 122B-A10B and Qwen3 Max share?
21 benchmarks have published results for both models. Qwen3.5 122B-A10B has 27 scored results on Noometry and Qwen3 Max has 33.