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OpenAI: GPT-5.4 Pro vs Google: Gemma 4 31B

Head-to-head API cost, context, and performance comparison. Synced at 8:51:20 PM.

Executive Summary

When evaluating OpenAI: GPT-5.4 Pro against Google: Gemma 4 31B, the pricing structure is a key differentiator. Google: Gemma 4 31B is approximately 100% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-5.4 Pro leads with a statistical ELO score of 1658. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5.4 Pro, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT-5.4 Pro
Google: Gemma 4 31B
Performance (ELO)
1658
1583
Input Cost / 1M
$30.00
$0.14
Output Cost / 1M
$180.00
$0.40
Context Window
1,050,000 tokens
262,144 tokens

Verdict

If you are looking for pure performance and capability, OpenAI: GPT-5.4 Pro is statistically superior. However, if API burn rate is the primary concern, Google: Gemma 4 31B wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-5.4 Pro cheaper than Google: Gemma 4 31B?

No. Google: Gemma 4 31B is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The OpenAI: GPT-5.4 Pro model has the advantage in memory, offering a massive 1,050,000 token limit for document ingestion.

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