+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-R1 vs Mistral Small 3 24B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 198.1K more tokens in context window than Mistral Small 3 24B Instruct. Mistral Small 3 24B Instruct is $2.53 cheaper per million tokens. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-R1 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
+
+
+
+
Mistral AI
Mistral Small 24B Instruct was created as the instruction-tuned version of the 24B base model, designed to follow user instructions reliably. Built to serve general-purpose applications requiring moderate capability, it balances performance with deployment practicality.
10 days newer
DeepSeek-R1
DeepSeek
2025-01-20
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek-R1
Input:$0.55
Output:$2.19
+
+
+
+
Mistral Small 3 24B Instruct
Input:$0.07
Output:$0.14($2.53 cheaper)
Performance Metrics
Context window and performance specifications
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Instruct
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-R1
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
+
+
+
+
DeepSeek-R1
Avg Score:0.0%
Providers:5
+
+
+
+
Mistral Small 3 24B Instruct
Avg Score:0.0%
Providers:2