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DeepSeek-V2.5 vs Mistral Large 2
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 39.3% higher average benchmark score. Mistral Large 2 offers 239.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $7.58 cheaper per million tokens. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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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.
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Mistral AI
Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
2 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Mistral Large 2
Mistral AI
2024-07-24
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($7.58 cheaper)
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Mistral Large 2
Input:$2.00
Output:$6.00
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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DeepSeek-V2.5
Average Score:66.7%(+39.3%)
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Mistral Large 2
Average Score:27.4%
Provider Availability & Performance
Available providers and their performance metrics
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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
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DeepSeek-V2.5
Avg Score:66.7%(+39.3%)
Providers:3
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Mistral Large 2
Avg Score:27.4%
Providers:2