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Qwen: Qwen3 Coder 480B A35B vs Meta: Llama 3.2 3B Instruct (free)

Head-to-head API cost, context, and performance comparison. Synced at 2:30:30 PM.

Executive Summary

When evaluating Qwen: Qwen3 Coder 480B A35B against Meta: Llama 3.2 3B Instruct (free), the pricing structure is a key differentiator. Meta: Llama 3.2 3B Instruct (free) is approximately 100% more cost-effective per 1 million tokens overall. In fact, it is currently available for free inference, though developers should be mindful of potential rate limits or stability changes common with zero-cost or preview tiers.

However, when looking at raw reasoning capabilities, Meta: Llama 3.2 3B Instruct (free) leads with a statistical ELO score of 1421. For tasks involving complex logic, coding, or instruction-following, developers might prefer Meta: Llama 3.2 3B Instruct (free), which is especially appealing given its zero-cost tier.

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Raw Technical comparison

Metric
Qwen: Qwen3 Coder 480B A35B
Meta: Llama 3.2 3B Instruct (free)
Performance (ELO)
1421
1421
Input Cost / 1M
$0.22
Free
Output Cost / 1M
$1.80
Free
Context Window
262,144 tokens
131,072 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 3.2 3B Instruct (free) wins out aggressively in pricing.

People Also Ask

Is Qwen: Qwen3 Coder 480B A35B cheaper than Meta: Llama 3.2 3B Instruct (free)?

No. Meta: Llama 3.2 3B Instruct (free) 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 Coder 480B A35B model has the advantage in memory, offering a massive 262,144 token limit for document ingestion.

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