Model comparison
DeepSeek-V3.1 vs Qwen3.6 Max Preview
Qwen3.6 Max Preview is the stronger model overall, scoring 51.5 to 42.8 on the Noometry Index. DeepSeek-V3.1 costs 6.9× less per token, which makes it the better buy when Qwen3.6 Max Preview's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 0 categories and Qwen3.6 Max Preview in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.6 Max Preview leads 54.1 to 38.9.
- The biggest single-benchmark swing is SimpleBench: 40% for DeepSeek-V3.1 and 63% for Qwen3.6 Max Preview.
- DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $1.30 / $7.80 for Qwen3.6 Max Preview.
- Qwen3.6 Max Preview accepts more context: 262K tokens versus 164K.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1 | Qwen3.6 Max Preview | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 42.8 | 51.5 |
| Released | 2025-08-21 | 2026-04-20 |
| Weights | Open | Proprietary |
| Context window | 164K | 262K |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.25 | $1.30 |
| Output $ / M tokens | $0.95 | $7.80 |
| Results tracked | 27 | 29 |
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Category by category
Coding Qwen3.6 Max Preview leads
DeepSeek-V3.1: 40.3 (#144), Qwen3.6 Max Preview: 48.7 (#54)
| Benchmark | DeepSeek-V3.1 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Coding | 1417 | 1471 |
| SWE-bench Verified | — | 76.7% |
| LMArena WebDev | — | 1482 |
| WeirdML | 38.4% | — |
Agentic & Tool Use Not comparable
DeepSeek-V3.1: —, Qwen3.6 Max Preview: —
| Benchmark | DeepSeek-V3.1 | Qwen3.6 Max Preview |
|---|---|---|
| Vending-Bench 2 | — | 4,254 |
Reasoning Qwen3.6 Max Preview leads
DeepSeek-V3.1: 27.9 (#110), Qwen3.6 Max Preview: 41.7 (#53)
| Benchmark | DeepSeek-V3.1 | Qwen3.6 Max Preview |
|---|---|---|
| SimpleBench | 40% | 63% |
| LMArena Hard Prompts | 1417 | 1457 |
| DTBench | 82.7% | 87.2% |
| LMCA | 24.3% | 42.5% |
| Epoch Capabilities Index | 139.92 | 149.24 |
| Kagi LLM Benchmark | 53.2% | — |
| NYT Connections (extended) | — | 74.1% |
| Chess Puzzles | — | 20% |
| Mystery Game Puzzles | — | 19% |
| ForecastBench | 58 | — |
Math Qwen3.6 Max Preview leads
DeepSeek-V3.1: 38.9 (#122), Qwen3.6 Max Preview: 54.1 (#46)
| Benchmark | DeepSeek-V3.1 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Math | 1420 | 1465 |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| FrontierMath (Feb 2025 set) | — | 23.1% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge Qwen3.6 Max Preview leads
DeepSeek-V3.1: 43.7 (#90), Qwen3.6 Max Preview: 57.6 (#39)
| Benchmark | DeepSeek-V3.1 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Expert | 1405 | 1478 |
| GPQA Diamond | — | 87.4% |
| SimpleQA Verified | — | 52% |
| Vectara Hallucination Rate | 5.5% | — |
Multilingual Qwen3.6 Max Preview leads
DeepSeek-V3.1: 51.6 (#106), Qwen3.6 Max Preview: 54.2 (#48)
| Benchmark | DeepSeek-V3.1 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Non-English | 1400 | 1437 |
| LMArena Chinese | 1469 | 1487 |
| LMArena French | 1447 | 1449 |
| LMArena Russian | 1405 | 1445 |
| LMArena Spanish | 1431 | 1454 |
| LMArena German | 1411 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1337 | — |
Instruction Following Qwen3.6 Max Preview leads
DeepSeek-V3.1: 73.9 (#110), Qwen3.6 Max Preview: 75.7 (#55)
| Benchmark | DeepSeek-V3.1 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Instruction Following | 1400 | 1438 |
Long Context Qwen3.6 Max Preview leads
DeepSeek-V3.1: 36.3 (#232), Qwen3.6 Max Preview: 44.6 (#61)
| Benchmark | DeepSeek-V3.1 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Longer Query | 1422 | 1457 |
| Fiction.LiveBench | 52.8% | — |
Writing & Preference Qwen3.6 Max Preview leads
DeepSeek-V3.1: 60.3 (#98), Qwen3.6 Max Preview: 63.8 (#60)
| Benchmark | DeepSeek-V3.1 | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Text | 1420 | 1447 |
| LMArena Creative Writing | 1401 | 1435 |
| LMArena Multi-Turn | 1408 | 1456 |
| EQ-Bench Creative Writing | 1436 | — |
Frequently asked questions
Is DeepSeek-V3.1 better than Qwen3.6 Max Preview?
Qwen3.6 Max Preview is the stronger model overall, scoring 51.5 to 42.8 on the Noometry Index. DeepSeek-V3.1 costs 6.9× less per token, which makes it the better buy when Qwen3.6 Max Preview's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.1 or Qwen3.6 Max Preview?
DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Qwen3.6 Max Preview lists at $1.30 and $7.80.
Is DeepSeek-V3.1 or Qwen3.6 Max Preview better for coding?
Qwen3.6 Max Preview scores higher on coding benchmarks: 48.7 versus 40.3 in the Noometry coding category.
Which has the bigger context window?
Qwen3.6 Max Preview does, with 262K tokens against 164K.
How many benchmarks do DeepSeek-V3.1 and Qwen3.6 Max Preview share?
18 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Qwen3.6 Max Preview has 29.