Compare · ModelsLive · 2 picked · head to head
DeepSeek V3 vs Qwen-14B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V3 wins on 4/4 benchmarks
DeepSeek V3 wins 4 of 4 shared benchmarks. Leads in knowledge · reasoning.
Category leads
knowledge·DeepSeek V3reasoning·DeepSeek V3
Hype vs Reality
Attention vs performance
DeepSeek V3
#43 by perf·no signal
Qwen-14B
#35 by perf·no signal
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
4 benchmarks · 2 models
DeepSeek V3Qwen-14B
ARC AI2
DeepSeek V3 leads by +14.5
AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval.
DeepSeek V3
93.7
Qwen-14B
79.2
BBH
DeepSeek V3 leads by +43.3
BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans.
DeepSeek V3
83.3
Qwen-14B
40.0
MMLU
DeepSeek V3 leads by +27.9
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
DeepSeek V3
82.9
Qwen-14B
55.1
PIQA
DeepSeek V3 leads by +9.6
PIQA (Physical Interaction QA) · tests intuitive physical reasoning by asking models to select the correct approach for everyday physical tasks.
DeepSeek V3
69.4
Qwen-14B
59.8
Full benchmark table
| Benchmark | DeepSeek V3 | Qwen-14B |
|---|---|---|
ARC AI2 AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval. | 93.7 | 79.2 |
BBH BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans. | 83.3 | 40.0 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 82.9 | 55.1 |
PIQA PIQA (Physical Interaction QA) · tests intuitive physical reasoning by asking models to select the correct approach for everyday physical tasks. | 69.4 | 59.8 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| DeepSeek V3 | $0.32 | $0.89 | 164K tokens (~82 books) | $4.63 |
| Qwen-14B | — | — | — | — |