Compare · ModelsLive · 2 picked · head to head
DeepSeek V3 vs phi-3-mini 3.8B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V3 wins on 6/6 benchmarks
DeepSeek V3 wins 6 of 6 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
phi-3-mini 3.8B
#34 by perf·no signal
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
Microsoft
$3.00T·Big Tech
Head to head
6 benchmarks · 2 models
DeepSeek V3phi-3-mini 3.8B
ARC AI2
DeepSeek V3 leads by +13.9
AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval.
DeepSeek V3
93.7
phi-3-mini 3.8B
79.9
BBH
DeepSeek V3 leads by +21.1
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
phi-3-mini 3.8B
62.3
HellaSwag
DeepSeek V3 leads by +16.3
HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios.
DeepSeek V3
85.2
phi-3-mini 3.8B
68.9
MMLU
DeepSeek V3 leads by +24.5
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
DeepSeek V3
82.9
phi-3-mini 3.8B
58.4
TriviaQA
DeepSeek V3 leads by +18.9
TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents.
DeepSeek V3
82.9
phi-3-mini 3.8B
64.0
Winogrande
DeepSeek V3 leads by +28.8
WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs.
DeepSeek V3
70.4
phi-3-mini 3.8B
41.6
Full benchmark table
| Benchmark | DeepSeek V3 | phi-3-mini 3.8B |
|---|---|---|
ARC AI2 AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval. | 93.7 | 79.9 |
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 | 62.3 |
HellaSwag HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios. | 85.2 | 68.9 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 82.9 | 58.4 |
TriviaQA TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents. | 82.9 | 64.0 |
Winogrande WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs. | 70.4 | 41.6 |
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 |
| phi-3-mini 3.8B | — | — | — | — |
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