Realtime AI News
DeepSeek-V4-Flash tops global call-volume ranking again as API prices officially rise
DeepSeek officially implemented revised API pricing on August 17, adopting peak-valley rates that set off-peak prices at half of peak-hour prices, with V4-Pro peak-hour increases reaching as high as 1,100%. The move comes as DeepSeek-V4-Flash's official version topped the global weekly call-volume ranking for a second straight week, keeping Chinese models ahead of U.S. rivals for a 16th consecutive week.

Effective 00:00 on August 17, DeepSeek officially implemented its revised API pricing, adopting peak-valley rates in which off-peak prices are half of peak-hour prices, with V4-Pro seeing increases of up to 1,100% during peak hours. The adjustment arrives as the company's V4-Flash official version tops the global weekly call-volume ranking for a second consecutive week.
The figures come from a report published by National Business Daily on August 17, which estimated from OpenRouter data that global AI model call volume totaled 75.3 trillion tokens last week (August 10-16), up 9.13% week over week. Chinese models accounted for 36.84 trillion tokens, up 7.56%, while U.S. models reached 10.26 trillion tokens, up 11.89%, keeping China's weekly call volume ahead of the U.S. for the 16th consecutive week.
The top two spots globally were both Chinese models: DeepSeek-V4-Flash-0731 (the official V4-Flash release) held first place for a second straight week with 11.2 trillion tokens, up 27%, and Tencent Hy3 ranked second for the second week running at 9.95 trillion tokens, up 24%. The preview build DeepSeek-V4-Flash-0423 placed fourth with 4.83 trillion tokens, down 18%.
The price move landed alongside the call-volume data. Starting August 17, DeepSeek switched to peak-valley pricing, charging half the peak rate during off-peak hours, with peak-hour increases reaching as high as 1,100% for V4-Pro. Calling a leading model during demand peaks now costs noticeably more, while off-peak usage keeps some pricing flexibility.
On the other side of the ranking, OpenAI's GPT-5.6 Luna entered the top three for the first time with 5.31 trillion tokens, up 20% for a third consecutive week of growth. OpenAI had earlier announced optimizations to GPT-5.6 series pricing and performance, including an 80% price cut for GPT-5.6 Luna; Artificial Analysis estimates Luna's average cost per single benchmark task at about $0.05, or one-sixtieth of Anthropic's flagship Claude Fable 5.
The contrast in pricing strategy is striking. On one side, China's leading models are raising prices as capability and call volume grow, while on the other, U.S. vendors keep cutting prices on mid- and low-tier models to court developers — the once-wide price gap between Chinese and American models is narrowing. Morgan Stanley data cited by the report shows Chinese models' average input and output API prices were just 6% and 5% of U.S. peers in Q1 2025, rising to 19% and 14% by Q2 2026.
Also notable: Claude Opus 5 entered the ranking for the first time at No. 8 with 2.67 trillion tokens, up 102%, while NVIDIA's Nemotron 3 Ultra (free) dropped out. The key question now is whether DeepSeek's call volume can keep growing after the price hike, and whether other Chinese vendors follow with similar time-based pricing.
Why it matters
By raising prices from a position of call-volume leadership, DeepSeek signals China's top model vendors are shifting from low-price competition toward capability-based pricing, further narrowing the China-U.S. API price gap and reshaping developer cost structures.
Nearby Updates
All08/17, 10:50
摩根大通:GLM 5.3升级+DeepSeek提价重塑中国AI,上调智谱与MiniMax目标价 华尔街见闻
摩根大通:GLM 5.3升级+DeepSeek提价重塑中国AI,上调智谱与MiniMax目标价 华尔街见闻. 摩根大通:GLM 5.3升级+DeepSeek提价重塑中国AI,上调智谱与MiniMax目标价 华尔街见闻
08/17, 09:55
Alibaba AI models hit 3 billion downloads, outpacing Meta and Google
Alibaba's AI models have surpassed 3 billion cumulative downloads, overtaking Meta and Google in developer adoption, according to The Straits Times. The milestone shows Alibaba's open-source strategy is rapidly expanding its footprint in the global AI ecosystem.
08/17, 09:00
Alibaba's Qwen3.8-27B beats Meta's 'best small agent' Muse Glimmer just four days after launch
Alibaba's Qwen team shipped Qwen3.8-27B, an open-weight 27.78-billion-parameter multimodal model, on August 14 — and just four days later it is outperforming Meta's 'best small agent' Muse Glimmer on agentic benchmarks. Qwen3.8-27B leads by more than 10 points on SWE-bench Pro and over 20 on Terminal-Bench 2.1, underscoring how fast the local open-weight agent race is now moving.
08/17, 07:43
Hugging Face report: Chinese open-source models lead in scale, AMD and NVIDIA top US open-source publishers
Hugging Face, the world's largest open-source AI platform, published a new ecosystem report showing Chinese open-source models now lead in parameter scale, with monthly ceilings of 754 billion to 2.78 trillion versus under 130 billion for US models in most months. It also found AMD and NVIDIA are now the top US open-source publishers, and Qwen derivatives exceed 150,000.