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Qwen: Qwen3 VL 235B A22B Instruct vs Qwen: Qwen3.5-27B

Head-to-head API cost, context, and performance comparison. Synced at 11:21:51 AM.

Executive Summary

When evaluating Qwen: Qwen3 VL 235B A22B Instruct against Qwen: Qwen3.5-27B, the pricing structure is a key differentiator. Qwen: Qwen3 VL 235B A22B Instruct is approximately 38% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Qwen: Qwen3.5-27B leads with a statistical ELO score of 1120. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen3.5-27B, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Qwen: Qwen3 VL 235B A22B Instruct
Qwen: Qwen3.5-27B
Performance (ELO)
1120
1120
Input Cost / 1M
$0.20
$0.20
Output Cost / 1M
$0.88
$1.56
Context Window
262,144 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, Qwen: Qwen3 VL 235B A22B Instruct wins out aggressively in pricing.

People Also Ask

Is Qwen: Qwen3 VL 235B A22B Instruct cheaper than Qwen: Qwen3.5-27B?

Yes. Qwen: Qwen3 VL 235B A22B Instruct is cheaper for both input and output generation compared to Qwen: Qwen3.5-27B. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

Both models offer an identical context window of 262,144 tokens.

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