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Cost & Optimization
FastRouter vs TrueFoundry: Pricing Compared
FastRouter vs TrueFoundry pricing, side by side. See what you pay for LLM gateway access and where costs can add up.
Andrej Gamser
12 Min Read◆October, 9 2026
FastRouter vs TrueFoundry pricing, side by side. See what you pay for LLM gateway access and where costs can add up.
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Cursor, Cline, and Claude Code burn tokens very differently by task type. See the real cost gap between them and how routing by task shape stops silent overspend.
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Find out about Cheapest Way to Access GPT-6, Claude & Gemini Through One API in new FastRouter blog
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See how FastRouter's Insights engine finds prompt-caching opportunities in your own traffic — real savings, zero model changes, nothing to lose.
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FastRouter Blend sends one prompt to multiple models, then a judge model compares where they agree, disagree, and what each one missed
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Gemini 3.7 Flash is now available on FastRouter. Multimodal, 1M token context, $1.50/1M blended price, zero markup, no new integration required.
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Kimi K3, Moonshot AI's flagship reasoning model, is now on FastRouter. 1M token context, #2 Intelligence, one endpoint.
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Prompt Compression cuts token usage before requests reach the model, no rewriting needed, no risk of breaking your production requests.
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Add an MCP server in two inputs instead of seven. Templates handle GitHub, Slack, and Jira setup while keeping full credential vaulting and audit logs
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What engineers building with LLMs are actually struggling with, from single-provider risk to token leaderboards to prompt caching nobody configured.
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GPT-5.6 Luna, Terra, and Sol are now available on FastRouter. Three tiers, one endpoint, from high volume workhorse to flagship reasoning.
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Grok 4.5 is now available on FastRouter. xAI's Opus-class model for coding and agentic workflows, priced for large, tool-heavy sessions.
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Prompt Hub lets teams write, version, and optimise prompts outside the codebase.
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Ask the FastRouter Playground to build an app or game and it renders the result instantly — interactive, no code required.
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FastRouter Playground lets you run one prompt across multiple models and see the outputs side by side.
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Amazon shut down a token leaderboard. Uber burned through its AI budget in a quarter. This is not an AI hype problem — it is what happens when usage scales without governance
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AI Spend Management: What Engineering Leaders Need to Get Right in 2026
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Stop deploying code just to update a prompt. FastRouter Prompt Library gives you versioning, instant rollback, and GEPA optimization.
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Prompt caching can cut repeated context costs by up to 90%. Here is how it works across major providers and why most teams are not using it yet
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5 practical levers engineering teams are using to reduce LLM spend right now — model routing, prompt caching, Flex Processing, and Batch
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Enterprise AI spend is past the adoption phase. Here is what the first wave of LLM investment is teaching engineering leaders about cost accountability.
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Stop guessing at prompt quality. GEPA evolves your system prompts automatically — real production data, multi-metric scoring, full iteration audit.
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Route your own provider credentials and fine-tuned models through FastRouter — unified observability, fallback chains, and governance included.
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Add fine-tuned and custom model endpoints to FastRouter. Route them like any standard model — with full observability, cost tracking, and governance.
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Cut LLM costs on repeated context with Prompt Caching on FastRouter. Automatic for OpenAI, DeepSeek, and Gemini. One field for Anthropic Claude.
Helicone is in maintenance mode after Mintlify acquired it. Compare features, plan a migration, and see three paths off Helicone Cloud.
FastRouter is a managed LLM gateway. Langfuse is an OSS observability and evals platform. Different categories. We cover where they overlap, when to pick one, and how to run them together.
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Managing tool integration across multiple LLM providers leads to scattered auth logic, credential sprawl, and zero visibility. Here's how centralized MCP Gateway architecture solves it.
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How One Team Built an AI Assistant That Actually Knows Their Product — Without Writing Integrations
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Run a free LLM audit on real traffic. Find cheaper models, reduce costs, and optimize performance without sacrificing quality.
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Monitor latency, token usage, errors, and spend in AI systems. Learn why enterprise AI needs intelligent observability to detect silent failures.
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When you deploy an AI-powered application, you're not just shipping a feature—you're establishing trust.
Using multiple LLM APIs? Discover the hidden costs of multi-model setups and how teams reduce spend, latency, and complexity.
Original article by Vamsi H exploring practical insights and real-world lessons for teams building and scaling AI systems in production.
This guide covers the steps to migrate to the Fastrouter AI Gateway and get access to 100+ models with 0% markup.