Compare · ModelsLive · 2 picked · head to head
DeepSeek V3.1 vs GPT-4.1
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-4.1 wins on 3/5 benchmarks
GPT-4.1 wins 3 of 5 shared benchmarks. Leads in knowledge · coding.
Category leads
general·DeepSeek V3.1knowledge·GPT-4.1reasoning·DeepSeek V3.1coding·GPT-4.1
Hype vs Reality
Attention vs performance
DeepSeek V3.1
#118 by perf·no signal
GPT-4.1
#189 by perf·no signal
Best value
DeepSeek V3.1
10.7x better value than GPT-4.1
DeepSeek V3.1
84.5 pts/$
$0.60/M
GPT-4.1
7.9 pts/$
$5.00/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 V3.1GPT-4.1
Dtbench
DeepSeek V3.1 leads by +24.0
DeepSeek V3.1
71.1
GPT-4.1
47.1
Fiction.LiveBench
GPT-4.1 leads by +11.1
Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination.
DeepSeek V3.1
52.8
GPT-4.1
63.9
Lmca
GPT-4.1 leads by +1.6
DeepSeek V3.1
28.6
GPT-4.1
30.1
SimpleBench
DeepSeek V3.1 leads by +15.6
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
DeepSeek V3.1
28.0
GPT-4.1
12.4
WeirdML
GPT-4.1 leads by +0.7
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
DeepSeek V3.1
38.4
GPT-4.1
39.0
Full benchmark table
| Benchmark | DeepSeek V3.1 | GPT-4.1 |
|---|---|---|
Dtbench | 71.1 | 47.1 |
Fiction.LiveBench Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination. | 52.8 | 63.9 |
Lmca | 28.6 | 30.1 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 28.0 | 12.4 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 38.4 | 39.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.25 | $0.95 | 164K tokens (~82 books) | $4.25 | |
| $2.00 | $8.00 | 1.0M tokens (~524 books) | $35.00 |
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