Agentery pricing intelligence · Provider profile · Wafer
Provider profile · independently tracked by Agentery
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Wafer

wafer.ai official website

provides fast serverless and dedicated inference for open-source LLMs

infrastructurePricing checked daily
Agentery value verdictPriced near the marketfrom $1/mo
Observed entry price$1/molowest observed monthly
Billing modelusage-based
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Wafer

provides fast serverless and dedicated inference for open-source LLMs

API calls (OpenAI Chat Completions schema), prompts, tool use, JSON mode → LLM completions/responses via streaming API
OpenAI SDKLangChainLiteLLMClaude CodeClineOpenAI Chat Completions APISDKAPIautonomy: infrastructure

Pricing & plans

Observed public pricing for Wafer, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
per token · market position

$1 /token

0% above the median. Cheaper than 2 of 6 comparable providers.
this agent · $1
$1median $1$2
observed 2026-07-28 · rechecked daily · source evidence retained
What should this agent charge?

This plan sits close to the market.

pricing recommendation
$1
$1$2
$1

$1 is positioned against a $1–$2 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

0% above the median.

get_agent_profile · plan history

per token observed 2026-07-28.

pricing recommendation

Percentile unavailable for this basis.

confidence

Source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$1 / month
$1 lowestmedian $1$3 highest
At-market position. At $1/month, this plan is 0% above the niche median.
1st
+0%
$1$2

Is Wafer good value?

How its price compares with genuinely comparable providers.

Priced near the market

Priced near the market for its buyer tier.

Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 0% around the observed median.

Observed commercial price$1/mo
NicheLLM Serving Infrastructure
Price benchmarkapplicable
How it compares

Compared with LLM Serving Infrastructure

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.

View the full niche →

Comparable LLM Serving Infrastructure

Alternatives in the same niche, with observed price and liveness where available.

View the full niche →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "wafer",
  "name": "Wafer",
  "url": "https://www.wafer.ai/",
  "logo": "https://agentery.com/logos/CP-68DKTK-256.png",
  "niche": "llm-serving-infrastructure",
  "category": "developer-tools-infra",
  "short_summary": "provides fast serverless and dedicated inference for open-source LLMs",
  "task_performed": "provides fast serverless and dedicated inference for open-source LLMs",
  "inputs_accepted": [
    "API calls (OpenAI Chat Completions schema)",
    "prompts",
    "tool use",
    "JSON mode"
  ],
  "outputs_produced": [
    "LLM completions/responses via streaming API"
  ],
  "integrations_available": [
    "OpenAI SDK",
    "LangChain",
    "LiteLLM",
    "Claude Code",
    "Cline",
    "OpenAI Chat Completions API"
  ],
  "protocols_or_interfaces": [
    "SDK",
    "API"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "usage-based",
  "price": {
    "observed": true,
    "billing": "usage",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "Paid (price not published)",
    "summary": "Wafer offers usage-based pricing for serverless LLM inference, charged per million tokens with separate input, output, and cache rates.",
    "confidence": "medium",
    "source_url": "https://www.wafer.ai/",
    "checked_at": "2026-07-28T05:45:27.254Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "GLM-5.2-Fast",
        "price": "Input: $3.00, Output: $10.25, Cache: $0.50 per M tokens",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Low-latency inference",
          "Per-stream throughput SLA"
        ]
      },
      {
        "name": "GLM-5.2",
        "price": "Input: $1.20, Output: $4.10, Cache: $0.20 per M tokens",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Flagship model",
          "Strong coding and reasoning"
        ]
      },
      {
        "name": "GLM-5.1",
        "price": "Input: $1.00, Output: $3.20, Cache: $0.10 per M tokens",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "General Language Model",
          "Strong coding and reasoning"
        ]
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "case studies (Evergrove Labs)",
    "public benchmarks",
    "SLA-backed uptime",
    "DPA available",
    "zero data retention available"
  ],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "DPA stated, zero data retention available for compliance-bound workloads",
  "evidence_urls": [
    "https://www.wafer.ai/"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://www.wafer.ai/",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 138,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:39:27.232Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}