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OpenAI: gpt-oss-120b (batch) vs Google: Gemma 3 12B

Head-to-head API cost, context, and performance comparison. Synced at 1:38:13 PM.

Executive Summary

When evaluating OpenAI: gpt-oss-120b (batch) against Google: Gemma 3 12B, the pricing structure is a key differentiator. OpenAI: gpt-oss-120b (batch) is approximately 17% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Google: Gemma 3 12B leads with a statistical ELO score of 1054. For tasks involving complex logic, coding, or instruction-following, developers might prefer Google: Gemma 3 12B, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: gpt-oss-120b (batch)
Google: Gemma 3 12B
Performance (ELO)
1054
1054
Input Cost / 1M
$0.03
$0.05
Output Cost / 1M
$0.14
$0.15
Context Window
131,072 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, OpenAI: gpt-oss-120b (batch) wins out aggressively in pricing.

People Also Ask

Is OpenAI: gpt-oss-120b (batch) cheaper than Google: Gemma 3 12B?

Yes. OpenAI: gpt-oss-120b (batch) is cheaper for both input and output generation compared to Google: Gemma 3 12B. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

Both models offer an identical context window of 131,072 tokens.

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