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Arcee AI: Coder Large vs Qwen: Qwen3.5-122B-A10B

Head-to-head API cost, context, and performance comparison. Synced at 11:29:44 AM.

Executive Summary

When evaluating Arcee AI: Coder Large against Qwen: Qwen3.5-122B-A10B, the pricing structure is a key differentiator. Arcee AI: Coder Large is approximately 44% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Qwen: Qwen3.5-122B-A10B leads with a statistical ELO score of 1120. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen3.5-122B-A10B, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Arcee AI: Coder Large
Qwen: Qwen3.5-122B-A10B
Performance (ELO)
1120
1120
Input Cost / 1M
$0.50
$0.26
Output Cost / 1M
$0.80
$2.08
Context Window
32,768 tokens
262,144 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Arcee AI: Coder Large wins out aggressively in pricing.

People Also Ask

Is Arcee AI: Coder Large cheaper than Qwen: Qwen3.5-122B-A10B?

Yes. Arcee AI: Coder Large is cheaper for both input and output generation compared to Qwen: Qwen3.5-122B-A10B. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Qwen: Qwen3.5-122B-A10B model has the advantage in memory, offering a massive 262,144 token limit for document ingestion.

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