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Thinking Machines: Inkling Small vs DeepSeek: DeepSeek V4.1 Flash

Head-to-head API cost, context, and performance comparison. Synced at 1:45:08 PM.

Executive Summary

When evaluating Thinking Machines: Inkling Small against DeepSeek: DeepSeek V4.1 Flash, the pricing structure is a key differentiator. DeepSeek: DeepSeek V4.1 Flash is approximately 9% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, DeepSeek: DeepSeek V4.1 Flash leads with a statistical ELO score of 1428. For tasks involving complex logic, coding, or instruction-following, developers might prefer DeepSeek: DeepSeek V4.1 Flash, provided their budget allows for the API burn rate.

Raw Technical comparison

Metric
Thinking Machines: Inkling Small
DeepSeek: DeepSeek V4.1 Flash
Performance (ELO)
1427
1428
Input Cost / 1M
$0.45
$0.30
Output Cost / 1M
$1.20
$1.20
Context Window
524,288 tokens
1,048,576 tokens

Verdict

If you are looking for pure performance and capability, DeepSeek: DeepSeek V4.1 Flash is statistically superior. However, if API burn rate is the primary concern, DeepSeek: DeepSeek V4.1 Flash wins out aggressively in pricing.

People Also Ask

Is Thinking Machines: Inkling Small cheaper than DeepSeek: DeepSeek V4.1 Flash?

No. DeepSeek: DeepSeek V4.1 Flash is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The DeepSeek: DeepSeek V4.1 Flash model has the advantage in memory, offering a massive 1,048,576 token limit for document ingestion.

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