Compare · ModelsLive · 2 picked · head to head
Qwen2.5 72B Instruct vs DeepSeek-V2 (MoE-236B, May 2024)
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek-V2 (MoE-236B, May 2024) wins on 4/7 benchmarks
DeepSeek-V2 (MoE-236B, May 2024) wins 4 of 7 shared benchmarks. Leads in knowledge.
Category leads
knowledge·DeepSeek-V2 (MoE-236B, May 2024)reasoning·Qwen2.5 72B Instruct
Hype vs Reality
Attention vs performance
Qwen2.5 72B Instruct
#80 by perf·no signal
DeepSeek-V2 (MoE-236B, May 2024)
#8 by perf·no signal
Best value
Qwen2.5 72B Instruct
Qwen2.5 72B Instruct
208.6 pts/$
$0.26/M
DeepSeek-V2 (MoE-236B, May 2024)
—
no price
Vendor risk
Mixed exposure
One or more vendors flagged
Alibaba (Qwen)
$293.0B·Tier 1
DeepSeek
$3.4B·Tier 1
Head to head
7 benchmarks · 2 models
Qwen2.5 72B InstructDeepSeek-V2 (MoE-236B, May 2024)
ARC AI2
Qwen2.5 72B Instruct leads by +3.1
AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval.
Qwen2.5 72B Instruct
92.7
DeepSeek-V2 (MoE-236B, May 2024)
89.6
BBH
Qwen2.5 72B Instruct leads by +1.3
BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans.
Qwen2.5 72B Instruct
73.1
DeepSeek-V2 (MoE-236B, May 2024)
71.7
HellaSwag
DeepSeek-V2 (MoE-236B, May 2024) leads by +3.1
HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios.
Qwen2.5 72B Instruct
79.7
DeepSeek-V2 (MoE-236B, May 2024)
82.8
MMLU
Qwen2.5 72B Instruct leads by +9.2
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
Qwen2.5 72B Instruct
80.4
DeepSeek-V2 (MoE-236B, May 2024)
71.2
PIQA
DeepSeek-V2 (MoE-236B, May 2024) leads by +2.6
PIQA (Physical Interaction QA) · tests intuitive physical reasoning by asking models to select the correct approach for everyday physical tasks.
Qwen2.5 72B Instruct
65.2
DeepSeek-V2 (MoE-236B, May 2024)
67.8
TriviaQA
DeepSeek-V2 (MoE-236B, May 2024) leads by +8.1
TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents.
Qwen2.5 72B Instruct
71.9
DeepSeek-V2 (MoE-236B, May 2024)
80.0
Winogrande
DeepSeek-V2 (MoE-236B, May 2024) leads by +8.0
WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs.
Qwen2.5 72B Instruct
64.6
DeepSeek-V2 (MoE-236B, May 2024)
72.6
Full benchmark table
| Benchmark | Qwen2.5 72B Instruct | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
ARC AI2 AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval. | 92.7 | 89.6 |
BBH BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans. | 73.1 | 71.7 |
HellaSwag HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios. | 79.7 | 82.8 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 80.4 | 71.2 |
PIQA PIQA (Physical Interaction QA) · tests intuitive physical reasoning by asking models to select the correct approach for everyday physical tasks. | 65.2 | 67.8 |
TriviaQA TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents. | 71.9 | 80.0 |
Winogrande WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs. | 64.6 | 72.6 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.12 | $0.39 | 33K tokens (~16 books) | $1.88 | |
| — | — | — | — |
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