+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V2.5 vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 11.7% higher average benchmark score. o1 offers 283.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $74.58 cheaper per million tokens. Overall, o1 is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
+
+
+
+
OpenAI
o1 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
7 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
o1
OpenAI
2024-12-17
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek-V2.5
Input:$0.14
Output:$0.28($74.58 cheaper)
+
+
+
+
o1
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
+
+
+
+
DeepSeek-V2.5
Average Score:71.2%
+
+
+
+
o1
Average Score:82.9%(+11.7%)
Performance comparison across key benchmark categories
+
+
+
+
DeepSeek-V2.5
Coding16.8%
+
+
+
+
o1
Coding41.0%(+24.2%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
+
+
+
+
+
+
+
DeepSeek-V2.5
Avg Score:71.2%
Providers:3
+
+
+
+
o1
Avg Score:82.9%(+11.7%)
Providers:2