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OpenAI: GPT Astra Latest vs Google: Gemini 3.5 Flash Lite (batch)

Head-to-head API cost, context, and performance comparison. Synced at 1:41:53 PM.

Executive Summary

When evaluating OpenAI: GPT Astra Latest against Google: Gemini 3.5 Flash Lite (batch), the pricing structure is a key differentiator. Google: Gemini 3.5 Flash Lite (batch) is approximately 98% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Google: Gemini 3.5 Flash Lite (batch) leads with a statistical ELO score of 1508. For tasks involving complex logic, coding, or instruction-following, developers might prefer Google: Gemini 3.5 Flash Lite (batch), provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT Astra Latest
Google: Gemini 3.5 Flash Lite (batch)
Performance (ELO)
1507
1508
Input Cost / 1M
$10.00
$0.15
Output Cost / 1M
$50.00
$1.25
Context Window
1,050,000 tokens
1,048,576 tokens

Verdict

If you are looking for pure performance and capability, Google: Gemini 3.5 Flash Lite (batch) is statistically superior. However, if API burn rate is the primary concern, Google: Gemini 3.5 Flash Lite (batch) wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT Astra Latest cheaper than Google: Gemini 3.5 Flash Lite (batch)?

No. Google: Gemini 3.5 Flash Lite (batch) 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 Astra Latest model has the advantage in memory, offering a massive 1,050,000 token limit for document ingestion.

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