We benchmarked DeepSeek V4 Flash, and it proved to be an absolute beast!
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- AlphaSignal
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We benchmarked DeepSeek V4 Flash, and it proved to be an absolute beast! The results confirmed the claim that it is around 100× cheaper than Fable 5. Here’s what stood out: > @deepseek_ai V4 Flash ranked #1 at $0.004 per fix and $0.21 total > @grok 4.5 ranked #2 and was the fastest model with a perfect score at 55 seconds > @claudeai Fable 5 was the most expensive model with a perfect score at $0.389 per fix and $20.99 total How is this possible? Cheap cache reads. It actually processed more tokens than Fable 5, but most of its repeated context was billed at a discounted cache rate. This kept the total bill low even across millions of agent tokens. DeepSeek V4 Flash wasn’t the fastest model, but it delivered the strongest combination of debugging accuracy and cost. Full benchmark results and breakdown below.
- benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
- token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
- context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Cache-read pricing, not raw count, is what decides the bill on long runs, and this puts per-fix costs on the same task across models.
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