+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek VL2 vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 8.2% higher average benchmark score. DeepSeek VL2 offers 2.6K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $4809.10 cheaper per million tokens. Overall, Mistral Small 3.1 24B Base is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
+
+
+
+
Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
3 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek VL2
Input:$9.50
Output:$4800.00
+
+
+
+
Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($4809.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
DeepSeek VL2
Average Score:51.1%
+
+
+
+
Mistral Small 3.1 24B Base
Average Score:59.3%(+8.2%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
+
+
+
+
Mistral Small 3.1 24B Base
+
+
+
+
DeepSeek VL2
Avg Score:51.1%
Providers:1
+
+
+
+
Mistral Small 3.1 24B Base
Avg Score:59.3%(+8.2%)
Providers:1