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Ministral 3 14B 2512 vs R1 Distill Llama 70B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Ministral 3 14B 2512 and R1 Distill Llama 70B.

Mistral

Ministral 3 14B 2512

The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...

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DeepSeek

R1 Distill Llama 70B

DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...

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Technical Specifications

SpecificationMinistral 3 14B 2512R1 Distill Llama 70B
ProviderMistralDeepSeek
Context Window262,144 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-022025-01-23

API Pricing Comparison

Input Price per Million Tokens

Ministral 3 14B 2512

$0.20

R1 Distill Llama 70B

$0.80

Output Price per Million Tokens

Ministral 3 14B 2512

$0.20

R1 Distill Llama 70B

$0.80

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
N/Avs8520.0%
Ministral 3 14B 2512
R1 Distill Llama 70B
HumanEvalPython coding & logic synthesis
N/Avs8830.0%
Ministral 3 14B 2512
R1 Distill Llama 70B
MATHComplex mathematical problem solving
N/Avs7000.0%
Ministral 3 14B 2512
R1 Distill Llama 70B
GPQAGraduate-level expert reasoning
N/Avs4450.0%
Ministral 3 14B 2512
R1 Distill Llama 70B
HellaSwagCommonsense reasoning and inference
N/Avs8600.0%
Ministral 3 14B 2512
R1 Distill Llama 70B
MT-BenchMulti-turn conversation flow quality
N/Avs905.0%
Ministral 3 14B 2512
R1 Distill Llama 70B

Ministral 3 14B 2512 Quirks & Gotchas

No developer gotchas reported.

R1 Distill Llama 70B Quirks & Gotchas

No developer gotchas reported.