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StepFun: Step 3.5 Flash vs OpenAI: GPT-6 Luna

Head-to-head API cost, context, and performance comparison. Synced at 1:42:55 PM.

Executive Summary

When evaluating StepFun: Step 3.5 Flash against OpenAI: GPT-6 Luna, the pricing structure is a key differentiator. StepFun: Step 3.5 Flash is approximately 33% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-6 Luna leads with a statistical ELO score of 1433. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-6 Luna, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
StepFun: Step 3.5 Flash
OpenAI: GPT-6 Luna
Performance (ELO)
1433
1433
Input Cost / 1M
$0.10
$0.10
Output Cost / 1M
$0.30
$0.50
Context Window
262,144 tokens
1,050,000 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, StepFun: Step 3.5 Flash wins out aggressively in pricing.

People Also Ask

Is StepFun: Step 3.5 Flash cheaper than OpenAI: GPT-6 Luna?

Yes. StepFun: Step 3.5 Flash is cheaper for both input and output generation compared to OpenAI: GPT-6 Luna. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The OpenAI: GPT-6 Luna model has the advantage in memory, offering a massive 1,050,000 token limit for document ingestion.

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