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Qwen: Qwen3.5 Plus 2026-04-20 vs Meta: Llama 4 Maverick

Head-to-head API cost, context, and performance comparison. Synced at 11:32:28 AM.

Executive Summary

When evaluating Qwen: Qwen3.5 Plus 2026-04-20 against Meta: Llama 4 Maverick, the pricing structure is a key differentiator. Meta: Llama 4 Maverick is approximately 73% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Meta: Llama 4 Maverick leads with a statistical ELO score of 1423. For tasks involving complex logic, coding, or instruction-following, developers might prefer Meta: Llama 4 Maverick, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Qwen: Qwen3.5 Plus 2026-04-20
Meta: Llama 4 Maverick
Performance (ELO)
1423
1423
Input Cost / 1M
$0.40
$0.15
Output Cost / 1M
$2.40
$0.60
Context Window
1,000,000 tokens
1,048,576 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Meta: Llama 4 Maverick wins out aggressively in pricing.

People Also Ask

Is Qwen: Qwen3.5 Plus 2026-04-20 cheaper than Meta: Llama 4 Maverick?

No. Meta: Llama 4 Maverick is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The Meta: Llama 4 Maverick model has the advantage in memory, offering a massive 1,048,576 token limit for document ingestion.

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