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Llama 3.3 70B Instruct vs MiniMax-01

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 Llama 3.3 70B Instruct and MiniMax-01.

Meta

Llama 3.3 70B Instruct

Meta's state-of-the-art open weights model, providing enterprise-grade reasoning and logic. Exceptionally powerful for self-hosted customer support, text generation, and tooling workflows.

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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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Technical Specifications

SpecificationLlama 3.3 70B InstructMiniMax-01
ProviderMetaMiniMax
Context Window131,072 tokens1,000,192 tokens
Agent Suitability83/100N/A
Time to First Token (TTFT)280 msN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-12-062025-01-15

API Pricing Comparison

Input Price per Million Tokens

Llama 3.3 70B Instruct

$0.10

MiniMax-01

$0.20

Output Price per Million Tokens

Llama 3.3 70B Instruct

$0.32

MiniMax-01

$1.10

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
8620.0%vs8100.0%
Llama 3.3 70B Instruct
MiniMax-01
HumanEvalPython coding & logic synthesis
8800.0%vs7820.0%
Llama 3.3 70B Instruct
MiniMax-01
MATHComplex mathematical problem solving
7500.0%vs5050.0%
Llama 3.3 70B Instruct
MiniMax-01
GPQAGraduate-level expert reasoning
5200.0%vs3700.0%
Llama 3.3 70B Instruct
MiniMax-01
HellaSwagCommonsense reasoning and inference
8850.0%vs8300.0%
Llama 3.3 70B Instruct
MiniMax-01
MT-BenchMulti-turn conversation flow quality
880.0%vs855.0%
Llama 3.3 70B Instruct
MiniMax-01

Llama 3.3 70B Instruct Quirks & Gotchas

  • โ–ธStable, well-documented self-hosted option with strong community support
  • โ–ธOutperformed by Llama 4 Maverick for agentic tool-calling workflows

MiniMax-01 Quirks & Gotchas

No developer gotchas reported.