Intelliverse

Compare Intelliverse

vs OpenRouter, LiteLLM, PiAPI, DeepInfra, KieAI, and ElevenLabs. Maintained by specialized agents: a Firecrawl analyst that re-crawls competitor pricing pages, and a benchmarker that runs identical agent workloads through the platforms. Nothing here is hand-waved — claims we can't verify are marked “estimated”.

Which AI API is cheapest in 2026?

For total cost — LLM traffic plus media plus memory — Intelliverse's flat plans (Free, Air $10, Pro $30, Pro Max $100/mo) usually win: one iv_credits balance buys images, video, voiceover, music and 3D at published rates, and pricing holds a nightly-audited 3x+ ROI floor. Raw-token specialists can beat us on narrow text-only workloads — the tables below say exactly where.

July 2026 frontier

Flagship routes, zero model menu

OpenAI's Sol and Anthropic's Fable families are the benchmarks everyone talks about — on Intelliverse they're routed capabilities inside your tier, not SKUs you hunt for. Send model: "intelliverse" and the router picks the right brain.

Sol GPT

Pro · Pro Max

Agentic coding at frontier speed

OpenAI's GPT-5.6 Sol class — state-of-the-art on coding-agent benchmarks, BrowseComp, and long-running professional workflows, with fewer tokens per task than prior frontier models.

Pro routes advanced agentic coding; Pro Max unlocks the full Sol frontier pool including ultra-mode parallel agents.

Code GenerationTool CallingFrontier Reasoning

Powered by GPT-5.6 Sol-class routes

Unlock on Pro · Pro Max

Fable

Pro Max

Deep reasoning for hard questions

Anthropic's Claude Fable 5 class — adaptive reasoning for research, math, multi-step planning, and Fusion panel deliberation when your task earns the frontier bar.

Included in the Pro Max frontier pool and Fusion's frontier panel — you never pick which brain answers.

Frontier ReasoningLong ContextFusion

Powered by Claude Fable-class routes

Unlock on Pro Max

OpenRouter vs tier routing for July 2026 frontiers

On OpenRouter you browse separate SKUs for GPT-5.6 Sol, Claude Fable 5, and dozens of lookalikes — then benchmark, pin, and re-benchmark every time a provider ships an update. On Intelliverse, Sol GPT and Fable are routed capabilities inside Pro and Pro Max: one intelliverse model string, task-class routing, masked responses. OpenRouter still wins if you want to hand-pick a specific slug for every request; we win if you want frontier brains without the menu.

The 2026 matrix

Sources and check dates for every row live on the per-competitor pages. LiteLLM (self-hosted proxy) and ElevenLabs (voice platform) are different categories — see their dedicated head-to-heads above.

FeatureIntelliverseOpenRouterLiteLLMPiAPIDeepInfraKieAIElevenLabs
July 2026 frontier modelsSol GPT & Fable routed by tier — Pro / Pro Max pools, no slug pickerSeparate SKUs (e.g. GPT-5.6 Sol, Claude Fable 5) — you pick and pinYou configure which models exist in your proxyNot applicable — media hubPay-per-token per model slugPay-per-call per model slugNot applicable — voice platform
Pricing modelFlat plans: Free, Air $10, Pro $30, Pro Max $100/mo, Enterprise customPrepaid credits, pay-per-token at provider ratesFree OSS proxy — you pay each provider directly + your infraPrepaid credits per call, or host-your-account $5–10/seat/mo, plus $0–50/mo feature plansPure pay-per-token, no minimumsPrepaid credit wallet (1 credit ≈ $0.005), no subscriptionMonthly character-credit subscriptions (~$5–$330/mo, estimated)
Markup / feesPriced to a 3x+ ROI floor — margin audited nightly and published on /stats5.5% fee on card top-ups ($0.80 min); 5% BYOK fee past 1M req/moNo LiteLLM markup — provider bills + ops time to run the proxyMargin baked into per-call prices, undisclosedMargin baked into per-token prices, undisclosedUndisclosed margin; advertises 20–86% below official ratesMargin in subscription tiers; credits reset monthly
Model choice burdenNone — the model field is optionalYou pick from 300+ models (optional auto-router)You configure model lists, fallbacks and budgetsYou pick per-service APIs (Kling, Flux, ...)You pick and benchmark open-weights models yourselfYou pick from ~343 model/price rowsVoice models only — LLM is a separate vendor
Media from the same balanceYes — one iv_credits balance covers image, video, voiceover, music/SFX and 3D at published per-unit ratesNo — text-first, no media generationProxy only — media APIs need separate provider accountsSeparate pay-per-generation walletSome image/TTS models priced per unitPay per generation from walletVoice/audio only — no images or video
Knowledge base / memoryPer-App-ID knowledge base included, billed on the same keyNone — bring your own RAG stackNone — bring your own RAG stackNoneNone (embeddings API only)NoneNone — voice platform only
Price verificationCompetitor prices re-verified with Firecrawl crawlsSelf-reportedSelf-reported (provider rates you pay directly)Self-reportedSelf-reportedSelf-reported discount claimsSelf-reported (tier details change often)
Stats transparencyPublic /stats page fed by nightly snapshots of live trafficPublic aggregate model rankingsNone (self-hosted — your metrics)NoneNoneNoneNone
Free tierFree plan — real routed requests, no cardFree models with daily rate limitsFree to self-host — still need provider accounts$0 plan, but credits still required to call APIs$5 signup credit (estimated)80 free credits on signupFree tier with monthly character credits (estimated)
EnterpriseCustom plans, dedicated routing profiles, SLAsCustom pricing at 50M+ requests, SSO/SAMLEnterprise/Cloud contracts for SSO, audit logs, supportTop-up bonuses (3–9%) negotiated via DiscordDedicated deployments, custom contractsTop-up bonuses (10% at $1,250+), no formal tier publishedCustom API scale and agent minutes (sales-led)

Competitor capabilities last verified 7/11/2026 by the competitor-analyst agent.

Where we win
  • one-api-tier-routing
  • task-class-smart-routing
  • app-profile-plan-recommendation
  • guardrails
  • byok-margin-skip
  • plugins-firecrawl-web-search
  • classifiers
  • fusion
Parity
  • presets
  • observability
On our roadmap
  • rankings
  • model-variants
  • chatroom

Agent workload benchmark

The same multi-turn agent tasks — research, code-fix, RAG — run through our tiers and through pay-per-token competitors. Total agent tokens, cost, latency, and task success. Source: none.

No benchmark runs recorded yet — the agent-benchmarker writes to benchmark_runs on its weekly schedule.

No published benchmark rows yet.

The agent-benchmarker agent writes to benchmark_runs on its weekly schedule when bench keys and EDGE_BASE_URL are configured. Live routed traffic is published separately on /stats and /rankings.

Check the math on your own workload

Start on the free plan — real routed requests, no card — and compare your first invoice to whatever you pay today.