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o3 Mini 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 o3 Mini and R1 Distill Llama 70B.

OpenAI

o3 Mini

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...

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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

Specificationo3 MiniR1 Distill Llama 70B
ProviderOpenAIDeepSeek
Context Window200,000 tokens128,000 tokens
Agent Suitability91/100N/A
Time to First Token (TTFT)800 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-01-312025-01-23

API Pricing Comparison

Input Price per Million Tokens

o3 Mini

$1.10

R1 Distill Llama 70B

$0.80

Output Price per Million Tokens

o3 Mini

$4.40

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
8790.0%vs8520.0%
o3 Mini
R1 Distill Llama 70B
HumanEvalPython coding & logic synthesis
9020.0%vs8830.0%
o3 Mini
R1 Distill Llama 70B
MATHComplex mathematical problem solving
9020.0%vs7000.0%
o3 Mini
R1 Distill Llama 70B
GPQAGraduate-level expert reasoning
6850.0%vs4450.0%
o3 Mini
R1 Distill Llama 70B
HellaSwagCommonsense reasoning and inference
8900.0%vs8600.0%
o3 Mini
R1 Distill Llama 70B
MT-BenchMulti-turn conversation flow quality
910.0%vs905.0%
o3 Mini
R1 Distill Llama 70B

o3 Mini Quirks & Gotchas

  • โ–ธBest cost/performance ratio for reasoning tasks in the OpenAI lineup
  • โ–ธStill slower than GPT-5 for simple tool calls โ€” route accordingly

R1 Distill Llama 70B Quirks & Gotchas

No developer gotchas reported.