Compare · ModelsLive · 2 picked · head to head
GPT-4 Turbo vs DeepSeek V3
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V3 wins on 6/10 benchmarks
DeepSeek V3 wins 6 of 10 shared benchmarks. Leads in reasoning · math · coding.
Category leads
reasoning·DeepSeek V3knowledge·GPT-4 Turbomath·DeepSeek V3coding·DeepSeek V3
Hype vs Reality
Attention vs performance
GPT-4 Turbo
#90 by perf·no signal
DeepSeek V3
#45 by perf·no signal
Best value
DeepSeek V3
38.2x better value than GPT-4 Turbo
GPT-4 Turbo
2.5 pts/$
$20.00/M
DeepSeek V3
97.5 pts/$
$0.60/M
Vendor risk
Mixed exposure
One or more vendors flagged
OpenAI
$840.0B·Tier 1
DeepSeek
$3.4B·Tier 1
Head to head
10 benchmarks · 2 models
GPT-4 TurboDeepSeek V3
BBH
DeepSeek V3 leads by +16.5
BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans.
GPT-4 Turbo
66.8
DeepSeek V3
83.3
GPQA diamond
DeepSeek V3 leads by +34.5
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GPT-4 Turbo
7.5
DeepSeek V3
42.0
HellaSwag
GPT-4 Turbo leads by +8.5
HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios.
GPT-4 Turbo
93.7
DeepSeek V3
85.2
MATH level 5
DeepSeek V3 leads by +41.9
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
GPT-4 Turbo
23.0
DeepSeek V3
64.8
MMLU
DeepSeek V3 leads by +6.4
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
GPT-4 Turbo
76.5
DeepSeek V3
82.9
OTIS Mock AIME 2024-2025
DeepSeek V3 leads by +14.7
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
GPT-4 Turbo
1.0
DeepSeek V3
15.8
SimpleBench
GPT-4 Turbo leads by +7.4
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
GPT-4 Turbo
10.1
DeepSeek V3
2.7
TriviaQA
GPT-4 Turbo leads by +1.9
TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents.
GPT-4 Turbo
84.8
DeepSeek V3
82.9
WeirdML
DeepSeek V3 leads by +23.6
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
GPT-4 Turbo
12.4
DeepSeek V3
36.1
Winogrande
GPT-4 Turbo leads by +4.6
WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs.
GPT-4 Turbo
75.0
DeepSeek V3
70.4
Full benchmark table
| Benchmark | GPT-4 Turbo | DeepSeek V3 |
|---|---|---|
BBH BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans. | 66.8 | 83.3 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 7.5 | 42.0 |
HellaSwag HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios. | 93.7 | 85.2 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 23.0 | 64.8 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 76.5 | 82.9 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 1.0 | 15.8 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 10.1 | 2.7 |
TriviaQA TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents. | 84.8 | 82.9 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 12.4 | 36.1 |
Winogrande WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs. | 75.0 | 70.4 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $10.00 | $30.00 | 128K tokens (~64 books) | $150.00 | |
| $0.32 | $0.89 | 164K tokens (~82 books) | $4.63 |