0xdcc6…017c

0xdcc69b80b1481d270517db3018955ccee5ea017c

By epochi

How this buyer's spend is distributed across the sellers it uses.

What this buyer actually buys per model — it opts into sharing the per-model split on-chain.

Model	Spent↓	Sharei	Tokens	Sellers
GPT-6 Astra gpt-6-astra	$3.81	59.6%	285.76M	3
Kimi K3.1 Pro kimi-k3.1-pro	$1.52	23.8%	34.83M	7
Claude Opus 5.5 claude-opus-5-5	$0.75	11.7%	7.24M	6
DeepSeek v4.1 Flash (1017) deepseek-v4-1-flash-1017	$0.13	2.0%	5.34M	2
Grok 4.7 grok-4-7	$0.06	1.0%	536.68k	3
GLM 5.3 glm-5.3	$0.06	0.9%	297.59k	8
Claude Opus 4.6 claude-opus-4-6	$0.03	0.5%	27.43k	3
GLM 5.3 Flashx glm-5.3-flashx	$0.01	0.2%	27.63k	2
Qwen 3.8 Max qwen/qwen3.8-max	$0.01	0.1%	29.11k	1
Qwen 3.6 Plus Uncensored qwen/qwen3.6-plus-uncensored	$0.01	0.1%	11.47k	1

Show more (6 left)

Purchase mixi

Decoded from settlement metadata v2 (this buyer's own opt-in) — channel-cumulative, so opted-in channels contribute their full lifetime. Channels where the buyer chose not to share are excluded: every figure is a lower bound on its true totals.

What this buyer used for free, from its own signed on-chain reports — 57.75M tokens · 222.00 requests · 2 sellers · since Oct 28, 2026.

Model	Tokens↓	Sharei	Requests	Sellers
DeepSeek V4.1 Flash deepseek-v4.1-flash	57.72M	99.9%	206	1
GLM 5.3 Flash glm-5.3-flash	32.98k	0.1%	16	2

Free mixi

Decoded from AntseedFreeUsage events: buyer-signed usage reports with no payment attached, so they are easier to fake than settlements and every figure is a lower bound. Free usage is never counted in spend, rankings or paid totals.