Model comparison
DeepSeek V4 Pro vs Qwen Max
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 34.7 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 8 categories and Qwen Max in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Pro leads 64.8 to 22.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.6% for DeepSeek V4 Pro and 16.1% for Qwen Max.
- DeepSeek V4 Pro is cheaper at $0.66 / $1.98 per million input/output tokens, against $1.60 / $6.40 for Qwen Max.
- DeepSeek V4 Pro accepts more context: 1M tokens versus 33K.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Pro | Qwen Max | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 54.3 | 34.7 |
| Released | 2026-04-24 | 2024-04-03 |
| Weights | Open | Proprietary |
| Context window | 1M | 33K |
| Max output | 393K | 8K |
| Input $ / M tokens | $0.66 | $1.60 |
| Output $ / M tokens | $1.98 | $6.40 |
| Results tracked | 48 | 23 |
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Category by category
Coding DeepSeek V4 Pro leads
DeepSeek V4 Pro: 52.4 (#34), Qwen Max: 30.7 (#292)
| Benchmark | DeepSeek V4 Pro | Qwen Max |
|---|---|---|
| LMArena Coding | 1470 | 1288 |
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
| Aider Polyglot | — | 21.8% |
| LMArena WebDev | 1582 | — |
| SciCode | 51% | — |
| WeirdML | 66.2% | — |
| ALE-Bench | 1,403 | — |
Agentic & Tool Use Not comparable
DeepSeek V4 Pro: 32.8 (#58), Qwen Max: —
| Benchmark | DeepSeek V4 Pro | Qwen Max |
|---|---|---|
| APEX-Agents | 47.3% | — |
| Vending-Bench 2 | 3,285 | — |
Reasoning DeepSeek V4 Pro leads
DeepSeek V4 Pro: 56.5 (#24), Qwen Max: 25.1 (#151)
| Benchmark | DeepSeek V4 Pro | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1461 | 1269 |
| ARC-AGI-2 | 61.3% | — |
| Kagi LLM Benchmark | 53.5% | — |
| NYT Connections (extended) | 91.3% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | 18% | — |
| Chess Puzzles | 47% | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 93.9% | — |
| LMCA | 45.5% | — |
| Surface Evolver Bench | 40% | — |
| Epoch Capabilities Index | 155.31 | — |
| ForecastBench | 56.1 | — |
Math DeepSeek V4 Pro leads
DeepSeek V4 Pro: 64.8 (#30), Qwen Max: 22.3 (#276)
| Benchmark | DeepSeek V4 Pro | Qwen Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.6% | 16.1% |
| LMArena Math | 1455 | 1275 |
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.6% | — |
| ProofBench | 50% | — |
| MATH Level 5 | — | 67.2% |
| FrontierMath (Feb 2025 set) | — | 1% |
Knowledge DeepSeek V4 Pro leads
DeepSeek V4 Pro: 59.5 (#31), Qwen Max: 30.3 (#228)
| Benchmark | DeepSeek V4 Pro | Qwen Max |
|---|---|---|
| GPQA Diamond | 91.7% | 56.1% |
| LMArena Expert | 1464 | 1248 |
| SimpleQA Verified | 52.9% | — |
| Vectara Hallucination Rate | 8.6% | — |
Multilingual DeepSeek V4 Pro leads
DeepSeek V4 Pro: 54.4 (#45), Qwen Max: 41.8 (#202)
| Benchmark | DeepSeek V4 Pro | Qwen Max |
|---|---|---|
| LMArena Non-English | 1439 | 1263 |
| LMArena Chinese | 1486 | 1254 |
| LMArena French | 1472 | 1330 |
| LMArena German | 1458 | 1254 |
| LMArena Japanese | 1445 | 1205 |
| LMArena Korean | 1447 | 1142 |
| LMArena Russian | 1453 | 1274 |
| LMArena Spanish | 1458 | 1290 |
Instruction Following DeepSeek V4 Pro leads
DeepSeek V4 Pro: 76.1 (#47), Qwen Max: 66.5 (#208)
| Benchmark | DeepSeek V4 Pro | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1448 | 1262 |
Long Context DeepSeek V4 Pro leads
DeepSeek V4 Pro: 45.0 (#51), Qwen Max: 39.4 (#180)
| Benchmark | DeepSeek V4 Pro | Qwen Max |
|---|---|---|
| LMArena Longer Query | 1458 | 1288 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench Life | 13.5% | — |
Writing & Preference DeepSeek V4 Pro leads
DeepSeek V4 Pro: 65.5 (#46), Qwen Max: 47.8 (#205)
| Benchmark | DeepSeek V4 Pro | Qwen Max |
|---|---|---|
| LMArena Text | 1451 | 1282 |
| LMArena Creative Writing | 1446 | 1248 |
| LMArena Multi-Turn | 1467 | 1277 |
| EQ-Bench Creative Writing | 1553 | — |
| EQ-Bench 4 | 1166 | — |
Frequently asked questions
Is DeepSeek V4 Pro better than Qwen Max?
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 34.7 on the Noometry Index.
Which is cheaper, DeepSeek V4 Pro or Qwen Max?
DeepSeek V4 Pro is cheaper. It lists at $0.66 per million input tokens and $1.98 per million output tokens; Qwen Max lists at $1.60 and $6.40.
Is DeepSeek V4 Pro or Qwen Max better for coding?
DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 30.7 in the Noometry coding category.
Which has the bigger context window?
DeepSeek V4 Pro does, with 1M tokens against 33K.
How many benchmarks do DeepSeek V4 Pro and Qwen Max share?
19 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Qwen Max has 23.