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IBM: Granite 4.1 8B vs OpenAI: GPT-5.2

Head-to-head API cost, context, and performance comparison. Synced at 11:17:00 PM.

Executive Summary

When evaluating IBM: Granite 4.1 8B against OpenAI: GPT-5.2, the pricing structure is a key differentiator. IBM: Granite 4.1 8B is approximately 99% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-5.2 leads with a statistical ELO score of 1440. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5.2, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
IBM: Granite 4.1 8B
OpenAI: GPT-5.2
Performance (ELO)
1440
1440
Input Cost / 1M
$0.05
$1.75
Output Cost / 1M
$0.10
$14.00
Context Window
131,072 tokens
400,000 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, IBM: Granite 4.1 8B wins out aggressively in pricing.

People Also Ask

Is IBM: Granite 4.1 8B cheaper than OpenAI: GPT-5.2?

Yes. IBM: Granite 4.1 8B is cheaper for both input and output generation compared to OpenAI: GPT-5.2. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The OpenAI: GPT-5.2 model has the advantage in memory, offering a massive 400,000 token limit for document ingestion.

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