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Google: Gemma 4 31B (free) vs Qwen: Qwen3 VL 235B A22B Instruct

Head-to-head API cost, context, and performance comparison. Synced at 11:35:09 PM.

Executive Summary

When evaluating Google: Gemma 4 31B (free) against Qwen: Qwen3 VL 235B A22B Instruct, the pricing structure is a key differentiator. Google: Gemma 4 31B (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, Qwen: Qwen3 VL 235B A22B Instruct leads with a statistical ELO score of 1439. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen3 VL 235B A22B Instruct, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Google: Gemma 4 31B (free)
Qwen: Qwen3 VL 235B A22B Instruct
Performance (ELO)
1439
1439
Input Cost / 1M
Free
$0.20
Output Cost / 1M
Free
$0.88
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, Google: Gemma 4 31B (free) wins out aggressively in pricing.

People Also Ask

Is Google: Gemma 4 31B (free) cheaper than Qwen: Qwen3 VL 235B A22B Instruct?

Yes. Google: Gemma 4 31B (free) is cheaper for both input and output generation compared to Qwen: Qwen3 VL 235B A22B Instruct. 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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