Silicon Data's LLM Token Expenditure Index — This index tracked the index-average falling from above $2 per million tokens in early June to $1.20 in the first week of August — a roughly 40% decline in two months . A snapshot on July 27 showed $1.43, confirming the downward trajectory
. Silicon Data directly cited Chinese open-weight models as a primary factor dragging down the index average
.
OpenAI slashed API prices by up to 80%, citing infrastructure efficiency gains. The moves directly compressed the market average; CNBC and Forbes characterized them as escalating the AI price war .
OpenAI attributed the reductions to internal optimizations, including kernel rewrites and speculative decoding, which reportedly delivered 20-35% efficiency gains in inference workloads .
On July 31, 2026, DeepSeek released V4-Flash-0731 in public beta, holding pricing at:
At roughly one-tenth the cost of premium tier models, DeepSeek V4 Flash became the floor-setting price that forced broader market compression. According to benchmark firm Artificial Analysis, V4 Flash's estimated cost per task is approximately 3 cents . The model beats DeepSeek's own V4 Pro preview on every agentic benchmark DeepSeek published, at a third of the output price
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Opus 5 entered at $5 per million input tokens and $25 per million output tokens — identical to its predecessor Opus 4.8 — with a Fast mode at 2x base price ($10/$50) . While Opus 5 didn't cut prices itself, its launch at a competitive "near-frontier" tier (near Fable 5 intelligence at half the price) put pressure on rivals and expanded the low-cost option set for enterprises
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OpenAI's 80% cut (July 30), DeepSeek's sub-$0.30 Flash pricing (July 31), Anthropic's competitive Opus 5 launch (July 24), and widespread enterprise adoption of low-cost Chinese open-source models compressed the market index from $2.04 in late May to $1.16–$1.18 by early August — a 43% drop in ten weeks .
Jefferies analysts led by Thomas Chong attributed the decline to an "intensifying global price war" and a "surge in adoption of affordable Chinese open-weight models" . The market reaction was not limited to pricing: Jefferies also argued that falling token costs could boost AI demand and infrastructure investment
.
Silicon Data's public index showed $1.43 on July 27 versus the reported $1.20 in early August, suggesting a steep late-July/early-August acceleration driven by the OpenAI and DeepSeek announcements . The index blends prices and usage, meaning a dip can reflect either falling list prices or a shift in demand toward cheaper models — Silicon Data itself has warned against reading it as a pure price tag
.