--- title: "AI CTRL Ratecard - NextGen" slug: "ai-ctrl-ratecard-nextgen" updated: 2026-11-12T11:00:06Z published: 2026-11-12T11:00:06Z canonical: "kb.expedient.com/ai-ctrl-ratecard-nextgen" excludeFromSearch: true excludeFromExternalSearch: true --- > ## Documentation Index > Fetch the complete documentation index at: https://kb.expedient.com/llms.txt > Use this file to discover all available pages before exploring further. # AI CTRL Ratecard - NextGen ★ Standard Model Universal Credits powered by GPT-6 Luna1000Credits=37.50 MTokensBased on standard usage patterns with a 75:25 input-to-output ratio. Credits work across all models — token allocations vary by model capability.OpenAIAnthropicGooglePerplexity⬆ More tokens than GPT-6 LunaO ### OpenAI GPT-6 and GPT-5 series models | Model | Input Tokens / 1000 CR | Output Tokens / 1000 CR | | --- | --- | --- | | GPT-6 LunaStandard Fast, cost-efficient model for focused, high-volume tasks | 75M | 15M | | GPT Image 2 Latest image generation with rich detail, edits, and complex scenes | 1.5M | 250K | | GPT Image 2.5 Flare Image generation | 1.5M | 250K | | GPT-4.1 Strong coding and long-context instruction following | 3.75M | 937.5K | | GPT-4.1 mini Cost-effective coding, extraction, and everyday assistants | 18.75M | 4.69M | | GPT-4.1 nano High-volume classification, routing, and low-latency tasks | 75M | 18.75M | | GPT-4o Vision and general multimodal assistants | 3M | 750K | | GPT-4o mini Budget multimodal chat, vision, and simple extraction | 50M | 12.5M | | GPT-5 Reasoning, coding, and general-purpose assistants | 6M | 750K | | GPT-5 mini Legacy mid-tier model | 30M | 3.75M | | GPT-5 nano Ultra-efficient, high-volume tasks | 150M | 18.75M | | GPT-5 Pro Deep analysis and planning with extended thinking | 500K | 62.5K | | GPT-5.1 Everyday coding and agent-style tasks | 6M | 750K | | GPT-5.2 Pro Very demanding reasoning, long-form analysis, complex decisions | 357.14K | 44.64K | | GPT-5.3 Codex Agentic coding, refactors, and multi-file software work | 4.29M | 535.71K | | GPT-5.4 Coding, agents, math, and broad analysis | 3M | 500K | | GPT-5.4 Mini Quick iterations, lighter coding, and tool-heavy workflows | 10M | 1.67M | | GPT-5.4 Nano Snippets, small fixes, classification, and routing | 37.5M | 6M | | GPT-5.4 Pro Hardest problems, maximum precision, long-running work | 250K | 41.67K | | GPT-5.5 Flagship for coding, agents, computer-use, and professional work | 1.5M | 250K | | GPT-5.5 Pro Highest-precision reasoning, audits, and high-stakes professional work | 250K | 41.67K | | GPT-5.6 Luna High-volume extraction, classification, drafts, and cost-sensitive tasks | 37.5M | 6.25M | | GPT-5.6 Terra Balanced production coding, analysis, and everyday professional work | 3.75M | 625K | | GPT-5.6-Sol Frontier flagship (Sol) for hardest reasoning, agents, and professional work | 1.88M | 375K | | GPT-6 Astra Flagship reasoning model | 750K | 150K | | GPT-6 Sol Complex coding and agentic workflows | 3.75M | 750K | | GPT-6.1 Sol Complex coding, computer use, and professional work | 3.75M | 750K | A ### Anthropic Claude Fable, Opus, Sonnet, and Haiku model families | Model | Input Tokens / 1000 CR | Output Tokens / 1000 CR | | --- | --- | --- | | Claude Fable 5 Frontier Mythos-class reasoning with stronger safeguards for high-risk domains | 750K | 150K | | Claude Fable 5.1 Frontier reasoning, hardest tasks | 750K | 150K | | Claude Haiku 4.5 Fast, efficient production tasks | 7.5M | 1.5M | | Claude Opus 4.5 Elite reasoning, research depth, and strategic analysis | 1.5M | 300K | | Claude Opus 4.6 Hardest agents, complex coding, and very long documents | 1.5M | 300K | | Claude Opus 4.7 Stronger coding, vision, and complex multi-step tasks with improved consistency | 1.5M | 300K | | Claude Opus 4.8 Most capable Opus for complex reasoning, long-horizon agentic coding, and high-autonomy work | 1.5M | 300K | | Claude Opus 5 Deep reasoning, agentic coding, and long-horizon enterprise work | 1.5M | 300K | | Claude Opus 5.5 Most capable model in the 5.5 family | 1.88M | 375K | | Claude Sonnet 4.6 Coding, agent planning, and drafting with strong long-context reasoning | 2.5M | 500K | | Claude Sonnet 5 Legacy mid-tier model | 3.75M | 750K | | Claude Sonnet 5.5 Mid-tier model balancing speed and capability | 3.75M | 750K | G ### Google Gemini Gemini Pro, Flash, and Flash-Lite models | Model | Input Tokens / 1000 CR | Output Tokens / 1000 CR | | --- | --- | --- | | Gemini 2.5 Flash Chat, summarization, and extraction at large scale | 25M | 3M | | Gemini 2.5 Flash-Lite Routing, translation, and extremely high request volume | 75M | 18.75M | | Gemini 2.5 Pro Complex code, deep analysis, and very long context | 6M | 750K | | Gemini 3 Flash Fast multimodal work, thinking-style tasks, large context | 15M | 2.5M | | Gemini 3.1 Flash-Lite High-volume, budget tier | 30M | 5M | | Gemini 3.1 Pro Flagship reasoning, 1M context | 3.75M | 625K | | Gemini 3.5 Flash Fast reasoning, multimodal agents, and large-scale production workloads | 5M | 833.33K | | Gemini 3.7 Flash Workhorse Flash for coding, agents, and production workloads | 10M | 2M | | Gemini 3.8 Flash Balanced speed and quality | 10M | 2M | x ### xAI Grok frontier models | Model | Input Tokens / 1000 CR | Output Tokens / 1000 CR | | --- | --- | --- | | Grok 4.7 Frontier model for coding, agentic tasks, and knowledge work | 3.75M | 1.25M | P ### Perplexity Sonar search-grounded models | Model | Input Tokens / 1000 CR | Output Tokens / 1000 CR | | --- | --- | --- | | Sonar Fast web-grounded answers | 7.5M | 7.5M | | Sonar Deep Research Long reports, due diligence, and literature-style synthesis | 3.75M | 937.5K | | Sonar Pro Advanced search-augmented answers | 2.5M | 500K | | Sonar Reasoning Pro Search + multi-step reasoning | 3.75M | 937.5K | ### Understanding This Rate Card - Higher-capability models consume more credits per token - Efficient models stretch your credits further - All values based on 1000 Credits - **GPT-6 Luna** is the baseline standard model - Green values indicate more tokens than GPT-6 Luna - Rates are subject to change by providers - Actual usage varies based on conversation patterns © 2026 Expedient. All rights reserved.  |  AI CTRL Platform Documentation Page last updated: **11/12/2026, 6:00:04 AM ET**