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GPT-5 Mini vs Llama 3.3 70B Instruct

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 GPT-5 Mini and Llama 3.3 70B Instruct.

OpenAI

GPT-5 Mini

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

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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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Technical Specifications

SpecificationGPT-5 MiniLlama 3.3 70B Instruct
ProviderOpenAIMeta
Context Window400,000 tokens131,072 tokens
Agent Suitability85/10083/100
Time to First Token (TTFT)180 ms280 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-072024-12-06

API Pricing Comparison

Input Price per Million Tokens

GPT-5 Mini

$0.25

Llama 3.3 70B Instruct

$0.10

Output Price per Million Tokens

GPT-5 Mini

$2.00

Llama 3.3 70B Instruct

$0.32

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
8650.0%vs8620.0%
GPT-5 Mini
Llama 3.3 70B Instruct
HumanEvalPython coding & logic synthesis
8800.0%vs8800.0%
GPT-5 Mini
Llama 3.3 70B Instruct
MATHComplex mathematical problem solving
8250.0%vs7500.0%
GPT-5 Mini
Llama 3.3 70B Instruct
GPQAGraduate-level expert reasoning
6800.0%vs5200.0%
GPT-5 Mini
Llama 3.3 70B Instruct
HellaSwagCommonsense reasoning and inference
9550.0%vs8850.0%
GPT-5 Mini
Llama 3.3 70B Instruct
MT-BenchMulti-turn conversation flow quality
900.0%vs880.0%
GPT-5 Mini
Llama 3.3 70B Instruct

GPT-5 Mini Quirks & Gotchas

  • โ–ธExcellent for high-frequency classification and routing tasks
  • โ–ธTool calling reliability drops on complex multi-step chains โ€” use GPT-5 for agentic workflows

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