Intelligence Pricing

Pay only for what you use. Per-token chat is billed at provider cost — no platform margin.

Pricing Formula

Your cost = Provider cost          (per-token chat — no margin, matches OpenRouter)
              + $0.001 / request     (flat x402 transaction fee)

Media generation and Live Search still carry a 5% platform margin, which covers:

• x402 settlement infrastructure
• Smart routing and reliability
• No API key management
• Instant on-chain payments

What $1 Gets You

Full Price List

OpenAI

Anthropic

Google

Gemini Pro models double the input rate and add 50% to the output rate above 200K prompt tokens (the whole request reprices), mirroring Google's official long-context pricing — e.g. Gemini 2.5 Pro is $2.63 in · $15.75 out above the threshold. Flash tiers are flat.

xAI Grok

Grok doubles the per-token rates above 200K prompt tokens (the whole request reprices — e.g. Grok 4.5 is $5.25 in · $18.90 out above the threshold), mirroring xAI's official long-context tier. Live Search adds $0.025 per source used.

Z.AI

Moonshot

MiniMax

Qwen

DeepSeek

Free Tier (8 models)

The free tier is 10 reasoning, coding, and vision models with no per-token charge. The lineup is kept current by a self-healing health gate that routes around any model whose upstream is temporarily unavailable and auto-recovers it, so existing calls keep working. All free-tier models are FREE for both input and output — call GET /api/v1/models for the current live list.

Image Generation

Other media: video from $0.05/sec, music $0.15/track, text-to-speech $0.05–$0.10 per 1k characters, sound effects $0.0535/generation.

Cost Comparison: BlockRun vs Direct

You pay 5% more, but you get:

• No API key management
• No monthly invoices
• No prepaid credits
• One wallet for all providers
• Instant per-request settlement

Budget Management

Session Budgets

from blockrun_llm import LLMClient

# Limit spending per session
client = LLMClient(session_budget=5.00)

Check Balance

balance = client.get_balance()
print(f"${balance} USDC remaining")

Track Spending

# Get usage stats
usage = client.get_usage()
print(f"Spent: ${usage['total_spent']}")
print(f"Requests: {usage['request_count']}")

Cost Optimization Tips

0. Use ClawRouter for Automatic Savings

Save 88% on average with ClawRouter — it automatically routes each request to the cheapest model that can handle it.

/model blockrun/auto

ClawRouter does all the optimization below automatically.

1. Use Cheaper Models for Routine Tasks

# Expensive
response = client.chat("openai/gpt-5.5", "Summarize this text")

# 50x cheaper, similar quality
response = client.chat("deepseek/deepseek-chat", "Summarize this text")

2. Use Flash Models for Speed

# For quick, simple tasks
response = client.chat("google/gemini-3.5-flash", prompt)

3. Match Model to Task

4. Optimize Prompts

Shorter prompts = fewer input tokens = lower cost.

What you don't pay

• No subscriptions
• No prepaid credits
• No minimum top-up
• No overage charges
• No rate limit fees

The rates on this page are the providers' own published prices; our margin is added on top of them at settlement.

Payment Details

• Currency: USDC on Base
• Settlement: Instant, on-chain
• Verification: Basescan

What's next?