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MiniMax M3 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 M3 and R1 Distill Llama 70B.

MiniMax

MiniMax M3

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

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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 M3R1 Distill Llama 70B
ProviderMiniMaxDeepSeek
Context Window1,048,576 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-05-312025-01-23

API Pricing Comparison

Input Price per Million Tokens

MiniMax M3

$0.30

R1 Distill Llama 70B

$0.80

Output Price per Million Tokens

MiniMax M3

$1.20

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
8400.0%vs8520.0%
MiniMax M3
R1 Distill Llama 70B
HumanEvalPython coding & logic synthesis
8350.0%vs8830.0%
MiniMax M3
R1 Distill Llama 70B
MATHComplex mathematical problem solving
6200.0%vs7000.0%
MiniMax M3
R1 Distill Llama 70B
GPQAGraduate-level expert reasoning
4250.0%vs4450.0%
MiniMax M3
R1 Distill Llama 70B
HellaSwagCommonsense reasoning and inference
8520.0%vs8600.0%
MiniMax M3
R1 Distill Llama 70B
MT-BenchMulti-turn conversation flow quality
888.0%vs905.0%
MiniMax M3
R1 Distill Llama 70B

MiniMax M3 Quirks & Gotchas

No developer gotchas reported.

R1 Distill Llama 70B Quirks & Gotchas

No developer gotchas reported.