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OpenAI: o3 Mini vs Qwen: Qwen3.8 Max Prime

Head-to-head API cost, context, and performance comparison. Synced at 1:43:03 PM.

Executive Summary

When evaluating OpenAI: o3 Mini against Qwen: Qwen3.8 Max Prime, the pricing structure is a key differentiator. OpenAI: o3 Mini is approximately 66% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Qwen: Qwen3.8 Max Prime leads with a statistical ELO score of 1492. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen3.8 Max Prime, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: o3 Mini
Qwen: Qwen3.8 Max Prime
Performance (ELO)
1491
1492
Input Cost / 1M
$1.10
$4.00
Output Cost / 1M
$4.40
$12.00
Context Window
200,000 tokens
1,000,000 tokens

Verdict

If you are looking for pure performance and capability, Qwen: Qwen3.8 Max Prime is statistically superior. However, if API burn rate is the primary concern, OpenAI: o3 Mini wins out aggressively in pricing.

People Also Ask

Is OpenAI: o3 Mini cheaper than Qwen: Qwen3.8 Max Prime?

Yes. OpenAI: o3 Mini is cheaper for both input and output generation compared to Qwen: Qwen3.8 Max Prime. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Qwen: Qwen3.8 Max Prime model has the advantage in memory, offering a massive 1,000,000 token limit for document ingestion.

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