Artificial Analysis Index: Chinese AI companies is beating frontier models from the West with "Price" & "Performance"

u/VexObserver — 15 hours ago

Peak Hour is "Active"

Peak Hours:

- 01:00 to 04:00 (Currently Active)

Price:

[DeepSeek V4 Flash 0731]

- Input: 0.44

- Output: 1.32

[DeepSeek V4 Pro 0813]

- Input: 1.32

- Output: 3.96

reddit.com
u/VexObserver — 4 days ago
▲ 29 r/WhaleSeekers+1 crossposts

DeepSeek V4 Pro "0813" is now available on Web Chat > Mobile Apps > API > Codex Integration 🐳

u/VexObserver — 8 days ago
▲ 22 r/WhaleSeekers+1 crossposts

V4 Flash 0731 "105 times cheaper" than Fable 5!

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.

reuters.com
u/VexObserver — 11 days ago
▲ 46 r/WhaleSeekers+1 crossposts

12$ - 2.6 Billion Tokens

12$ - 2.6 Billion Tokens.

Harness: Reasonix

Pipeline: 4

Status: Completion

Model: DS V4 Flash 0731

Effort Level: Max

Session: New session

"Token maxxed and completed 4 pipelines before DeepSeek raised the price"

u/VexObserver — 15 days ago

3$ - 750 million tokens in 1 session

Harness: Reasonix

Going to squeeze em dry before the price hike begins!

u/VexObserver — 15 days ago