DeepSeek-R1 vs Ministral 8B Instruct
Comparing DeepSeek-R1 and Ministral 8B Instruct across benchmarks, pricing, and capabilities.
DeepSeek · Mistral AI · Updated for 2026
Which is better?
DeepSeek-R1 and Ministral 8B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Ministral 8B Instruct is roughly 9.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-R1 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-R1
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Jan 2025
Choose Ministral 8B Instruct
- cost matters — it's about 9.6x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
0 reported for DeepSeek-R1 · 11 for Ministral 8B Instruct
DeepSeek-R1 and Ministral 8B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-R1 ($0.55/1M tokens) is 5.5x more expensive than Ministral 8B Instruct ($0.10/1M tokens).
For output processing, DeepSeek-R1 ($2.19/1M tokens) is 21.9x more expensive than Ministral 8B Instruct ($0.10/1M tokens).
In conclusion, DeepSeek-R1 is more expensive than Ministral 8B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-R1 has 663.0B more parameters than Ministral 8B Instruct, making it 8266.8% larger.
Context Window
Maximum input and output token capacity
DeepSeek-R1 accepts 131,072 input tokens compared to Ministral 8B Instruct's 128,000 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while Ministral 8B Instruct is limited to 128,000 tokens.
License
Usage and distribution terms
DeepSeek-R1 is licensed under MIT, while Ministral 8B Instruct uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Mistral Research License
Open weights
Release Timeline
When each model was launched
DeepSeek-R1 was released on 2025-01-20, while Ministral 8B Instruct was released on 2024-10-16.
DeepSeek-R1 is 3 months newer than Ministral 8B Instruct.
Jan 20, 2025
1.6 years ago
3mo newerOct 16, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. Ministral 8B Instruct is available from Mistral AI.
DeepSeek-R1
Ministral 8B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-R1 and Ministral 8B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-R1 vs Ministral 8B Instruct.