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Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek

DeepSeek-V2.5

DeepSeek

DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

DeepSeek

DeepSeek-V3.1

DeepSeek

DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

DeepSeek

DeepSeek-V3.1

DeepSeek

2025-01-10

8 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V2.5

$0.85 cheaper
Input:$0.14
Output:$0.28
DeepSeek

DeepSeek-V3.1

Input:$0.27
Output:$1.00

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

Max Context:16.4K
Parameters:236.0B
DeepSeek

DeepSeek-V3.1

Larger context
Max Context:327.7K
Parameters:671.0B

Average performance across 1 common benchmarks

DeepSeek

DeepSeek-V2.5

Average Score:16.8%
DeepSeek

DeepSeek-V3.1

+49.2%
Average Score:66.0%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

math
+43.2%
84.9%
general
+11.1%
68.4%
code
+9.6%
66.1%
DeepSeek

DeepSeek-V3.1

math
41.6%
general
57.3%
code
56.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V2.5

3 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 63 tok/s
Latency: 0.5ms

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek-V3.1

2 providers

DeepInfra

Novita

DeepSeek

DeepSeek-V2.5

Avg Score:16.8%
Providers:3
DeepSeek

DeepSeek-V3.1

+49.2%
Avg Score:66.0%
Providers:2