Codesota · Agentic · OpenRouter appsThe 30-day usage ledgerSnapshot · 2026-08-24
§ Agentic · Market tracking

Who burns the most on
LLM inference.

OpenRouter publishes per-app token counts for every AI tool routing through it. We read the public app listings. This snapshot ranks 39 apps by token and request volume. This refresh has no usable model-plus-pricing coverage, so cost estimates are explicitly unavailable rather than inferred.

§ 01 · Findings

Three things the data says.

  • Snapshot coverage
    Volume is available; pricing coverage is not.
    The current snapshot has app-level tokens and requests but no usable model-plus-pricing join. Cost and routing-efficiency claims are withheld until that coverage returns.
§ 02 · By cost

Apps ranked by monthly cost.

No usable model-plus-pricing coverage was available in this snapshot. The table remains intentionally empty instead of reporting zero-dollar estimates.

#AppCategoriesTokensRequestsMonthlyBlended $/M
Cost breakdown unavailable for snapshot 2026-08-24.
Fig 1 · Cost table withheld because this snapshot has no usable model-plus-pricing coverage.
§ 03 · By tokens

Apps ranked by raw token volume.

Full tracked app list including tail entries without model breakdowns. Volume-only ranking — no cost join.

#AppGlobal rankTokensRequestsVolume curve
1Hermes Agent#141.29T422.4M
2Claude Code#510.09T102.9M
3Kilo Code#68.08T98.5M
4Cline#75.30T48.3M
5pi#91.40T18.0M
6OpenClaw#13139.8B2.4M
7Codex#15122.6B2.1M
8Nous Research API#17113.2B1.9M
9GitLawb#12645.0B795K
10Framer#2243.2B345K
11ISEKAI ZERO#2438.2B1.4M
12Janitor AI#2537.0B2.3M
13Fish Audio - the most realistic AI voice generator#15735.3B2.6M
14Zed Editor#2732.8B215K
15Sahasra#2832.5B552K
16Poolside#18428.0B325K
17Lemonade#2927.3B747K
18OpenHands#3125.9B254K
19Descript#3521.4B396K
20Craft#3717.1B1.1M
21SillyTavern#4013.1B691K
22Mira is the leading AI agent inside Telegram#4112.6B847K
23GDevelop#4211.9B256K
24Studs.gg#4311.8B326K
25LangChain#4411.4B822K
26Roo Code#5010.1B71K
27Portkey AI#528.4B216K
28Qwen Code#557.6B71K
29Ito#587.2B202K
30Open WebUI#636.6B182K
31HammerAI#686.2B1.7M
32extra.email#754.5B526K
33Chub AI#784.4B324K
34OP.GG#1062.8B146K
35nanobot#1202.2B49K
36Agent Zero#1232.1B54K
37Pieces.app: Ambient Artificial Memory#1371.8B205K
38LibreChat#1871.0B39K
39novelcrafter#202943.2M25K
Fig 2 · All tracked apps ranked by tokens. The sparkline on row 1 shows the top-10 volume curve — long-tailed, as expected from a power-law market.
§ 04 · Methodology

Where these numbers come from.

  • Data source.
    openrouter.ai/apps and each app's detail page, fetched via the React Server Components stream (RSC: 1 header). Captured 2026-08-24.
  • Pricing.
    Public openrouter.ai/api/v1/models catalog. Permaslugs (e.g. anthropic/claude-4.6-opus-20260205) are matched back to base catalog IDs after stripping date and preview suffixes.
  • Blended $/M.
    price_in × 0.72 + price_out × 0.28. Agentic workloads are context-heavy because every tool round replays the conversation. A 50/50 split inflates dollar totals by ~10–15%.
  • Top-20 models per app.
    OpenRouter surfaces the top 20 models by tokens for each app. Apps may use more models beyond that slice at long-tail volume, so reported spend is a lower bound.
  • Unpriced models.
    Stealth/alpha lanes (e.g. openrouter/hunter-alpha) and unlisted providers are dropped from the dollar total. Free tiers are priced at $0.
  • Not a quality ranking.
    This page measures compute spend, not output quality. For task performance see our agentic benchmarks.
§ Final · Related

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