2026 LLM Token Cost Ledger & Agent Config Workbench

Compare 30-day API spend across GPT-6.1, Claude 5.5, Gemini 4, DeepSeek V4.1, Grok 4.7, and Qwen 3.8—100% locally in your browser.

OpenRouter v1 Snapshot (60 curated / 469 models · 2026-11-11)
Tokens per call
4,800
Lowest cost 2026 model
Qwen3.7 Flash
Lowest 30-day bill
$5.28/mo
2026 models compared
60
Live 2026 frontier model pricing & 30-day production spend (USD) — synced from OpenRouter v1 API
Model (2026 Release) Provider & date Input / cached ($/1M) Output ($/1M) Per 1K calls 30-day spend
Gemini 4 CarbonGoogle 2026-11-10$2 / $0.1$10$12.2000
$366.00
Claude Fable 5.2Anthropic 2026-11-09$8 / $0.2$40$48.4000
$1452.00
Muse EmberMeta 2026-11-09$0.1 / $0.004$0.5$0.6080
$18.24
Gemini Omni 1.2 FlashGoogle 2026-11-05$1.5 / $0.375$9$10.9500
$328.50
Gemini Omni 1.1 FlashGoogle 2026-11-04$1.5 / $0.375$9$10.9500
$328.50
GLM 5.3 FlashX LegalZ.ai / GLM 2026-11-02$0.37 / $0.075$1.25$1.8900
$56.70
GPT-6.1 Terra ProOpenAI 2026-10-26$1 / $0.05$5$6.1000
$183.00
GPT-6.1 TerraOpenAI 2026-10-26$1 / $0.05$5$6.1000
$183.00
Kimi K3.1 ProMoonshot 2026-10-23$2 / $0.2$10$12.4000
$372.00
MiniMax M3.1 FlashMiniMax 2026-10-19$0.15 / $0.015$0.6$0.8100
$24.30
DeepSeek V4.1 Flash 1017DeepSeek 2026-10-17$0.006 / $0.005$0.5$0.4220
$12.66
Muse Spark OpenMeta 2026-10-15$1.25 / $0.15$4.25$6.2000
$186.00

Client-Side FinOps & Agent Configuration Suite

Part of CodeAP Studio alongside ToMarkdown, DevToken pairs an automated 12-hour OpenRouter pricing snapshot (2026-11-11) with zero-upload browser utilities. See our Methodology for token heuristic details and caching formulas.

Frequently Asked Questions

Where does DevToken source its LLM pricing and model release data?

A scheduled GitHub Actions workflow polls the public OpenRouter v1 Models API (https://openrouter.ai/api/v1/models) every 12 hours, curating 60 active 2026 models across 469+ upstream endpoints into a zero-latency static snapshot.

Are my prompts, MCP credentials, or JSON schemas sent to any backend?

No. Every BPE token estimate, MCP configuration validation, llms.txt build, and strict JSON Schema or Zod compilation executes 100% locally inside your browser with zero server round-trips.

How can I convert PDF or HTML files before estimating RAG token costs?

Open ToMarkdown to convert PDF, Office, HTML, or CSV files into clean GFM Markdown, then click Estimate LLM Cost to pass the exact token count directly into this ledger.