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OpenAI: o4 Mini High (batch) vs Qwen: Qwen3.5 Plus 2026-04-20

Head-to-head API cost, context, and performance comparison. Synced at 4:19:19 PM.

Executive Summary

When evaluating OpenAI: o4 Mini High (batch) against Qwen: Qwen3.5 Plus 2026-04-20, the pricing structure is a key differentiator. Qwen: Qwen3.5 Plus 2026-04-20 is approximately 24% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Qwen: Qwen3.5 Plus 2026-04-20 leads with a statistical ELO score of 1423. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen3.5 Plus 2026-04-20, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: o4 Mini High (batch)
Qwen: Qwen3.5 Plus 2026-04-20
Performance (ELO)
1423
1423
Input Cost / 1M
$0.55
$0.30
Output Cost / 1M
$2.20
$1.80
Context Window
200,000 tokens
1,000,000 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Qwen: Qwen3.5 Plus 2026-04-20 wins out aggressively in pricing.

People Also Ask

Is OpenAI: o4 Mini High (batch) cheaper than Qwen: Qwen3.5 Plus 2026-04-20?

No. Qwen: Qwen3.5 Plus 2026-04-20 is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The Qwen: Qwen3.5 Plus 2026-04-20 model has the advantage in memory, offering a massive 1,000,000 token limit for document ingestion.

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