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MiniMax-01 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 MiniMax-01 and R1 Distill Llama 70B.

MiniMax

MiniMax-01

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...

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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

SpecificationMiniMax-01R1 Distill Llama 70B
ProviderMiniMaxDeepSeek
Context Window1,000,192 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-01-152025-01-23

API Pricing Comparison

Input Price per Million Tokens

MiniMax-01

$0.20

R1 Distill Llama 70B

$0.80

Output Price per Million Tokens

MiniMax-01

$1.10

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
8100.0%vs8520.0%
MiniMax-01
R1 Distill Llama 70B
HumanEvalPython coding & logic synthesis
7820.0%vs8830.0%
MiniMax-01
R1 Distill Llama 70B
MATHComplex mathematical problem solving
5050.0%vs7000.0%
MiniMax-01
R1 Distill Llama 70B
GPQAGraduate-level expert reasoning
3700.0%vs4450.0%
MiniMax-01
R1 Distill Llama 70B
HellaSwagCommonsense reasoning and inference
8300.0%vs8600.0%
MiniMax-01
R1 Distill Llama 70B
MT-BenchMulti-turn conversation flow quality
855.0%vs905.0%
MiniMax-01
R1 Distill Llama 70B

MiniMax-01 Quirks & Gotchas

No developer gotchas reported.

R1 Distill Llama 70B Quirks & Gotchas

No developer gotchas reported.