r/WhaleSeekers

Source: Reuter

Context:

- DeepSeek's flagship AI model is by ‌far the least expensive to run on benchmark tests among well-known models globally and more than 100 times cheaper to run than Anthropic's Claude Fable 5, according to a research firm.

- DeepSeek's V4-Flash charges $0.14 per million input tokens and $0.28 per million output tokens, according to research firm Artificial Analysis.

- San Francisco-based Artificial Analysis estimated V4-Flash's average cost at 3 cents per test, compared with 86 cents for Kimi K3 from Chinese rival Moonshot AI, $1.86 for OpenAI's GPT-5.6 Sol and $3.15 for Claude Fable 5.

- The comparison provides a more realistic measure of value than pricing alone because it accounts for the amount of data a model must process and generate to complete a task. A model with low headline price can still prove expensive ‌if it ⁠requires significantly more steps to produce an answer.

Benchmark:

- Artificial Analysis said DeepSeek's ⁠V4-Flash model scored 50 out of 100 on its Intelligence Index, which combines results from nine benchmarks spanning coding, reasoning and workplace-style assignments.

- That's the same score as Google's (GOOGL.O), Gemini 3.6 Flash, and one point behind Meta's (META.O) Muse Spark 1.1 and GLM-5.2 from Z.AI which ⁠is also known as Zhipu.

- Moonshot's Kimi K3, however, scored a 57 while Anthropic's Claude Opus 5 (Fable 5) and OpenAI (GPT-5.6) scored nine or more points higher.