# DeepSeek V3 vs Qwen2.5-Max

> Side-by-side benchmark comparison for DeepSeek V3 and Qwen2.5-Max across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/deepseek-v3-vs-qwen2-5-max
- Last updated: October 14, 2026

- Shared sourced benchmarks: 3
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Evidence is too thin for a benchmark verdict: DeepSeek V3 and Qwen2.5-Max share only 3 sourced benchmark rows.

## Summary

- Only 3 shared sourced benchmark rows are available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- DeepSeek V3 has the larger published context window at 128K.

## Model Snapshot

| Property | DeepSeek V3 | Qwen2.5-Max |
|----------|----------|----------|
| Creator | DeepSeek | Alibaba |
| Type | Open Weight | Proprietary |
| Reasoning | Non-Reasoning | Non-Reasoning |
| Context | 128K | Unknown |
| Independent public score (not head-to-head) | 31.78 | null |
| Benchmarks Covered | 9 | 3 |
| Pricing (input/output) | $0.27 / $1.10 | N/A |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- DeepSeek V3 public-lane score: 10 (Estimated · #118/124)
- Qwen2.5-Max public-lane score: Coming soon

### Coding

- Winner: Insufficient shared evidence
- DeepSeek V3 public-lane score: 15.1 (Estimated · #134/149)
- Qwen2.5-Max public-lane score: Coming soon

| Benchmark | DeepSeek V3 | Qwen2.5-Max | Winner |
|-----------|-----------|-----------|--------|
| LiveCodeBench | 37.6% | 38.7% | Qwen2.5-Max |
| SWE-bench Verified | 42% | Coming soon | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- DeepSeek V3 public-lane score: 26.3 (Unranked · 3 rankable rows)
- Qwen2.5-Max public-lane score: Coming soon

| Benchmark | DeepSeek V3 | Qwen2.5-Max | Winner |
|-----------|-----------|-----------|--------|
| LongBench v2 | 48.7% | Coming soon | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- DeepSeek V3 public-lane score: 32.3 (Supported · #143/181)
- Qwen2.5-Max public-lane score: Coming soon

| Benchmark | DeepSeek V3 | Qwen2.5-Max | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 59.1% | 60.1% | Qwen2.5-Max |
| MMLU-Pro | 75.9% | 76.1% | Qwen2.5-Max |
| SimpleQA | 24.9% | Coming soon | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- DeepSeek V3 public-lane score: 39.6 (#105/128)
- Qwen2.5-Max public-lane score: Coming soon

| Benchmark | DeepSeek V3 | Qwen2.5-Max | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 86.1% | Coming soon | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- DeepSeek V3 public-lane score: Coming soon
- Qwen2.5-Max public-lane score: Coming soon

| Benchmark | DeepSeek V3 | Qwen2.5-Max | Winner |
|-----------|-----------|-----------|--------|
| AIME 2024 | 39.2% | Coming soon | Coming soon |
| MATH-500 | 90.2% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between DeepSeek V3 and Qwen2.5-Max?

Not yet. The models share only 3 sourced benchmark rows, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

- [DeepSeek V3 vs DeepSeek V3 0324](/compare/deepseek-v3-vs-deepseek-v3-0324)
- [Qwen2.5-Max vs DeepSeek V3 0324](/compare/deepseek-v3-0324-vs-qwen2-5-max)
- [DeepSeek V3 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-deepseek-v3)
- [Qwen2.5-Max vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-qwen2-5-max)

## Explore More

- [DeepSeek V3 profile](/models/deepseek-v3)
- [Qwen2.5-Max profile](/models/qwen2-5-max)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)