Agentery pricing intelligence · Provider profile · Llm Abacus
Provider profile · independently tracked by Agentery
Llm Abacus
MCP server (no description provided).
Agentery value verdictBelow the comparable medianfrom $0/mo
Observed entry price$0/molowest observed monthly
Billing modelunclear
Pricing observed25 Oct 2026latest priced read of the page
Website liveness24 Oct 2026alive · separate from pricing
What it does
The specific capability behind this listing, and where to get it.
Llm Abacus
MCP server (no description provided).
MCPMCPautonomy: infrastructure
Official Llm Abacus links
Pricing & plans
Observed public pricing for Llm Abacus, benchmarked against comparable providers. Plans, tiers, history and scenario below.
Pricing · observed daily
per token · market position
$0.00 /token
96.2% below the median. Basis: comparable plans in Agent Observability Eval, same buyer tier and billing unit, USD monthly, observed 2026-10-25. Separately, across all same-tier-tier plans in the niche regardless of billing unit (3 providers): cheaper than 3 of them.
this agent · $0.00
$0median $0.00$0
pricing observed 2026-10-25 · page rechecked daily · source evidence retained
What should this agent charge?
The current price sits below the comparable median.
$0.00
$0–$0
$0.00
$0.00 is positioned against a $0–$0 observed middle market.
Pricing checks returned
Why Agentery reaches that view
price_benchmark96.2% below the median.
get_provider_profile · plan historyper token observed 2026-10-25.
pricing recommendationPercentile unavailable for this basis.
confidenceSource 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.
$7.5e-8 / month
$1 lowestmedian $0.00$0 highest
Competitive value position. At $7.5e-8/month, this plan is 96.2% below the cohort median.
—
-96.2%
$0–$0
Is Llm Abacus good value?
How its price compares with genuinely comparable providers.
Below the comparable median
Below the comparable median for its buyer tier.
Basis: same-tier-tier plans in the niche, any billing unit (3 providers), USD monthly, pricing observed 2026-10-25. The per token plan ($7.5e-8/mo) sits 96.3% below that median of $0. Thin evidence: fewer than five comparable providers, so treat the position as indicative. Other cohorts on this page (niche-wide tier peers, nearest products by capability) are labelled where they appear.
Observed commercial price$7.5e-8/mo
NicheAgent Observability Eval
Price benchmarkapplicable
How it compares
Compared with Agent Observability Eval
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit (the basis is stated with each verdict above). See the plans above for the percentile and its cohort size, and the full niche market for peers.
View the full niche →Llm Abacus's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
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See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "llm_abacus",
"name": "Llm Abacus",
"url": "https://www.llmabacus.com",
"logo": "https://agentery.com/logos/CP-4M9VWF-128.png",
"niche": "agent-observability-eval",
"category": "developer-tools-infra",
"short_summary": "MCP server (no description provided).",
"task_performed": "MCP server (no description provided).",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"general business"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "usage",
"source_kind": "vendor",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "$0.07 per 1m input; $0.15 per 1m input (usage-based)",
"commercial": {
"rates": [
{
"line": "Gemini 1.5 Flash",
"per": "per 1m input",
"text": "$0.07 per 1m input"
},
{
"line": "GPT-4o-mini",
"per": "per 1m input",
"text": "$0.15 per 1m input"
},
{
"line": "Claude 3 Haiku",
"per": "per 1m input",
"text": "$0.25 per 1m input"
},
{
"line": "GPT-4o",
"per": "per 1m input",
"text": "$2.5 per 1m input"
},
{
"line": "o1-mini",
"per": "per 1m input",
"text": "$3 per 1m input"
},
{
"line": "Claude 3.5 Sonnet",
"per": "per 1m input",
"text": "$3 per 1m input"
},
{
"line": "Gemini 1.5 Pro (≤128k)",
"per": "per 1m input",
"text": "$3.5 per 1m input"
},
{
"line": "Gemini 1.5 Pro (>128k)",
"per": "per 1m input",
"text": "$7 per 1m input"
},
{
"line": "o1-preview",
"per": "per 1m input",
"text": "$15 per 1m input"
},
{
"line": "Claude 3 Opus",
"per": "per 1m input",
"text": "$15 per 1m input"
}
],
"currency": "USD",
"lines": [
{
"name": "Gemini 1.5 Flash",
"price": "$0.075/1M input tokens",
"kind": "usage_rate",
"unit": "1m input",
"billed": "usage"
},
{
"name": "GPT-4o-mini",
"price": "$0.15/1M input tokens",
"kind": "usage_rate",
"unit": "1m input",
"billed": "usage"
},
{
"name": "Claude 3 Haiku",
"price": "$0.25/1M input tokens",
"kind": "usage_rate",
"unit": "1m input",
"billed": "usage"
},
{
"name": "GPT-4o",
"price": "$2.50/1M input tokens",
"kind": "usage_rate",
"unit": "1m input",
"billed": "usage"
},
{
"name": "o1-mini",
"price": "$3.00/1M input tokens",
"kind": "usage_rate",
"unit": "1m input",
"billed": "usage"
},
{
"name": "Claude 3.5 Sonnet",
"price": "$3.00/1M input tokens",
"kind": "usage_rate",
"unit": "1m input",
"billed": "usage"
},
{
"name": "Gemini 1.5 Pro (≤128k)",
"price": "$3.50/1M input tokens",
"kind": "usage_rate",
"unit": "1m input",
"billed": "usage"
},
{
"name": "Gemini 1.5 Pro (>128k)",
"price": "$7.00/1M input tokens",
"kind": "usage_rate",
"unit": "1m input",
"billed": "usage"
},
{
"name": "o1-preview",
"price": "$15.00/1M input tokens",
"kind": "usage_rate",
"unit": "1m input",
"billed": "usage"
},
{
"name": "Claude 3 Opus",
"price": "$15.00/1M input tokens",
"kind": "usage_rate",
"unit": "1m input",
"billed": "usage"
}
]
},
"summary": "$0.07 per 1m input; $0.15 per 1m input (usage-based). The site presents model API usage rates primarily per 1M tokens, with separate input, output, and cached-input prices rather than fixed monthly plans.",
"confidence": "high",
"source_url": "https://www.llmabacus.com/articles/2026-llm-pricing-benchmark",
"checked_at": "2026-10-25T02:19:02.153Z",
"amount": null,
"display": null,
"plans": [
{
"name": "Gemini 1.5 Flash",
"price": "$0.075/1M input tokens",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Output: $0.30/1M tokens",
"Cached input: $0.01875/1M tokens",
"1M-token context"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "GPT-4o-mini",
"price": "$0.15/1M input tokens",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Output: $0.60/1M tokens",
"Cached input: $0.075/1M tokens",
"128k context"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "Claude 3 Haiku",
"price": "$0.25/1M input tokens",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Output: $1.25/1M tokens",
"Cached input: $0.03/1M tokens",
"200k context"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "GPT-4o",
"price": "$2.50/1M input tokens",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Output: $10.00/1M tokens",
"Cached input: $1.25/1M tokens",
"128k context"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "o1-mini",
"price": "$3.00/1M input tokens",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Output: $12.00/1M tokens",
"Cached input: $1.50/1M tokens",
"128k context"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "Claude 3.5 Sonnet",
"price": "$3.00/1M input tokens",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Output: $15.00/1M tokens",
"Cached input: $0.30/1M tokens",
"200k context"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "Gemini 1.5 Pro (≤128k)",
"price": "$3.50/1M input tokens",
"usage": true,
"period": "usage",
"persona": "pro",
"highlights": [
"Output: $10.50/1M tokens",
"Cached input: $0.875/1M tokens",
"2M context"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "Gemini 1.5 Pro (>128k)",
"price": "$7.00/1M input tokens",
"usage": true,
"period": "usage",
"persona": "pro",
"highlights": [
"Output: $21.00/1M tokens",
"Cached input: $1.75/1M tokens",
"2M context"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "o1-preview",
"price": "$15.00/1M input tokens",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Output: $60.00/1M tokens",
"Cached input: $7.50/1M tokens",
"128k context"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "Claude 3 Opus",
"price": "$15.00/1M input tokens",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Output: $75.00/1M tokens",
"Cached input: $1.50/1M tokens",
"200k context"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://www.llmabacus.com"
],
"last_checked": "2026-10-25",
"profile_checked": "2026-07-07",
"price_checked": "2026-10-25",
"how_to_connect": {
"website": "https://www.llmabacus.com",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"install": null,
"repository": null,
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"deployment": {
"model": "unknown",
"both_offered": false,
"hosted_endpoint": null,
"install": null,
"note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
"evidence": null
},
"licence": {
"name": null,
"note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
"evidence": null
},
"evidence_checks": {
"price": {
"source_url": "https://www.llmabacus.com/articles/2026-llm-pricing-benchmark",
"last_observed_day": "2026-10-25",
"age_days": 1,
"verified_day": "2026-10-25",
"note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": {
"group_id": 7,
"group": "MCP infrastructure management",
"change_90d_pct": 0,
"fair_price_by_tier_monthly_usd": {
"individual": 15.07,
"pro": 29,
"team / small business": 99,
"enterprise": 999
},
"note": "Change of the group's price index over the last 90 days. Call get_group_fair_price with group_id for tier and payment-model detail.",
"page": "https://agentery.com/aepi/groups/7"
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 331,
"uptime_7d": 1,
"checked_at": "2026-10-24T02:38:22.782Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}