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OpenAI: GPT-4o (2024-08-06) vs Fireworks: Ember-1

Head-to-head API cost, context, and performance comparison. Synced at 1:43:02 PM.

Executive Summary

When evaluating OpenAI: GPT-4o (2024-08-06) against Fireworks: Ember-1, the pricing structure is a key differentiator. OpenAI: GPT-4o (2024-08-06) is approximately 31% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Fireworks: Ember-1 leads with a statistical ELO score of 1508. For tasks involving complex logic, coding, or instruction-following, developers might prefer Fireworks: Ember-1, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT-4o (2024-08-06)
Fireworks: Ember-1
Performance (ELO)
1507
1508
Input Cost / 1M
$2.50
$3.00
Output Cost / 1M
$10.00
$15.00
Context Window
128,000 tokens
1,048,576 tokens

Verdict

If you are looking for pure performance and capability, Fireworks: Ember-1 is statistically superior. However, if API burn rate is the primary concern, OpenAI: GPT-4o (2024-08-06) wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-4o (2024-08-06) cheaper than Fireworks: Ember-1?

Yes. OpenAI: GPT-4o (2024-08-06) is cheaper for both input and output generation compared to Fireworks: Ember-1. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Fireworks: Ember-1 model has the advantage in memory, offering a massive 1,048,576 token limit for document ingestion.

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