Compare · ModelsLive · 2 picked · head to head
DeepSeek V4 Flash vs o3 Mini
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V4 Flash wins on 5/5 benchmarks
DeepSeek V4 Flash wins 5 of 5 shared benchmarks. Leads in arena · general · reasoning.
Category leads
arena·DeepSeek V4 Flashgeneral·DeepSeek V4 Flashreasoning·DeepSeek V4 Flashcoding·DeepSeek V4 Flash
Hype vs Reality
Attention vs performance
DeepSeek V4 Flash
#39 by perf·#6 by attention
o3 Mini
#239 by perf·no signal
Best value
DeepSeek V4 Flash
8.0x better value than o3 Mini
DeepSeek V4 Flash
94.4 pts/$
$0.65/M
o3 Mini
11.8 pts/$
$2.75/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
5 benchmarks · 2 models
DeepSeek V4 Flasho3 Mini
Chatbot Arena Elo · Overall
DeepSeek V4 Flash leads by +88.0
DeepSeek V4 Flash
1436.0
o3 Mini
1348.1
Dtbench
DeepSeek V4 Flash leads by +29.3
DeepSeek V4 Flash
77.3
o3 Mini
48.0
Lmca
DeepSeek V4 Flash leads by +19.9
DeepSeek V4 Flash
42.2
o3 Mini
22.3
SimpleBench
DeepSeek V4 Flash leads by +28.2
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
DeepSeek V4 Flash
35.6
o3 Mini
7.4
WeirdML
DeepSeek V4 Flash leads by +1.9
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
DeepSeek V4 Flash
45.6
o3 Mini
43.7
Full benchmark table
| Benchmark | DeepSeek V4 Flash | o3 Mini |
|---|---|---|
Chatbot Arena Elo · Overall | 1436.0 | 1348.1 |
Dtbench | 77.3 | 48.0 |
Lmca | 42.2 | 22.3 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 35.6 | 7.4 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 45.6 | 43.7 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.03 | $1.28 | 1.0M tokens (~524 books) | $3.39 | |
| $1.10 | $4.40 | 200K tokens (~100 books) | $19.25 |