Kingy AI

Edition August 2024 · Method v1.0

Kingy AI Price Index

Small-model prices fell 19.6% in August

The median small model cost $0.51 per million tokens, down from $0.64 in July. OpenAI launched a cheaper small model.

Prices in effect August 1, 2024, from archived official pages · Compared with July 2024 (reconstructed, prices of July 1, 2024, 31 days earlier)

This month’s numbers

Subscription price per month Median US list price, monthly billing, before tax

Who charges what

Each lab’s list price in this edition, cheapest first. The dark rule is this month’s median; the grey rule is last month’s. Hover or tab to a bar for input and output prices.

Frontier models median $5.25

Each lab's most capable model · US dollars per million tokens, blended

Median $5.25Jul $6.00
DeepSeek V2 DeepSeek$0.18
Mistral Large 2 Mistral AI$4.50
Gemini 1.5 Pro Google$5.25
Claude 3.5 Sonnet Anthropic$6.00
GPT-4o OpenAI$7.50

Small models median $0.51

Each lab's low-cost, high-volume model · US dollars per million tokens, blended

Median $0.51Jul $0.64
GPT-4o mini OpenAI$0.26
Claude 3 Haiku Anthropic$0.50
Gemini 1.5 Flash Google$0.53
Mistral Small Mistral AI$1.50

Index level by edition

Each tier’s median as a share of its September 2026 value (= 100). Lower means cheaper. Months before September 2026 are reconstructed from archived official pages; a line breaks where fewer than three labs had a verified price.

  • Frontier models
  • Mid-range models
  • Small models
050100150200250300350Mid-range models 100.0 · Frontier models 88.9Small models 50.0
Apr 2024*Jan 2025*Jan 2026*Oct 2026

October 2026: Frontier models 88.9 Mid-range models 100.0 Small models 50.0

Every edition: median price and index level (34 months)
Index level and median price by edition
EditionFrontier modelsMid-range modelsSmall modelsStandard planTop plan
October 2026$4.00 (88.9)$4.00 (100.0)$0.26 (50.0)$20.00 (100.0)$200.00 (100.0)
September 2026*$4.50 (100.0)$4.00 (100.0)$0.53 (100.0)$20.00 (100.0)$200.00 (100.0)
August 2026*$4.50 (100.0)$4.00 (100.0)$0.65 (123.8)——
July 2026*$3.03 (67.4)$3.19 (79.7)$0.46 (88.1)——
June 2026*$4.50 (100.0)$3.38 (84.4)$0.46 (88.1)——
May 2026*$3.75 (83.3)$1.41 (35.2)$0.37 (70.3)——
April 2026*$3.75 (83.3)$1.41 (35.2)$0.46 (88.1)——
March 2026*$4.66 (103.5)$0.96 (24.1)$0.23 (42.9)——
February 2026*$4.66 (103.5)$0.96 (24.1)$0.23 (42.9)——
January 2026*$4.66 (103.5)$0.96 (24.1)$0.23 (42.9)——
December 2025*$3.97 (88.2)$0.83 (20.6)$0.18 (33.3)——
November 2025*$3.44 (76.4)$0.80 (20.0)$0.18 (33.3)——
October 2025*$3.44 (76.4)$0.80 (20.0)$0.18 (33.3)——
September 2025*$3.44 (76.4)$0.83 (20.6)$0.26 (50.0)——
August 2025*$3.47 (77.1)$0.85 (21.3)$0.26 (50.0)——
July 2025*$3.47 (77.1)$0.83 (20.6)$0.26 (50.0)——
June 2025*$3.47 (77.1)$0.75 (18.8)$0.26 (50.0)——
May 2025*$3.50 (77.8)—$0.35 (66.7)——
April 2025*$4.00 (88.9)—$0.37 (70.5)——
March 2025*$2.67 (59.3)—$0.37 (70.5)——
February 2025*$3.00 (66.7)—$0.26 (50.0)——
January 2025*$3.00 (66.7)—$0.28 (53.6)——
December 2024*$3.00 (66.7)—$0.28 (53.6)——
November 2024*$3.69 (81.9)—$0.28 (53.6)——
October 2024*$3.00 (66.7)—$0.28 (53.6)——
September 2024*$5.25 (116.7)—$0.38 (72.6)——
August 2024*$5.25 (116.7)—$0.51 (97.6)——
July 2024*$6.00 (133.3)—$0.64 (121.4)——
June 2024*$6.00 (133.3)—$0.64 (121.4)——
May 2024*$15.00 (333.3)—$0.75 (142.9)——
April 2024*$15.00 (333.3)—$0.75 (142.9)——
March 2024*—————
February 2024*—————
January 2024*—————

Median price, with the index level in brackets; — means fewer than three verified prices. * Reconstructed from archived official pages.

What changed since July

None of the 7 models and plans in both editions changed its list price. Every move in the index came from labs replacing a model or plan with a new one.

New in the basket

Every price in this edition

Each figure is the list price on the official page at capture time. Open a row’s date for the exact text Kingy read.

API prices, US dollars per million tokens
TierModelInputOutputBlendedSource
Frontier modelsDeepSeek V2 DeepSeek$0.14$0.28$0.18
Archived July 21, 2024

Official source · Internet Archive copy

“deepseek-chat (1) Good at general tasks, 128K context length $0.14 / 1M tokens $0.28”

Tier evidence: “deepseek-chat (1) Good at general tasks” DeepSeek sold one general-purpose model on this date (deepseek-coder is a coding model, which the method excludes); its only general model holds the frontier slot.

SHA-256 5450452a065973ac…

Frontier modelsMistral Large 2 Mistral AI$3.00$9.00$4.50
Archived July 31, 2024

Official source · Internet Archive copy

“mistral-large-2407 Top-tier reasoning for high-complexity tasks, for your most sophisticated needs. $3 /1M tokens $9”

Tier evidence: “mistral-large-2407 Top-tier reasoning for high-complexity tasks, for your most sophisticated needs.” Mistral Medium was sold on this date but Mistral did not present it as a model balancing capability with speed or cost (it called it "Will soon be deprecated" or "Our first commercial model"), so Mistral has no mid-range constituent.

SHA-256 0b2e29af935a6197…

Frontier modelsGemini 1.5 Pro Google$3.50$10.50$5.25
Archived July 27, 2024

Official source · Internet Archive copy

“Available now Gemini 1.5 Pro Our next-generation model with a breakthrough 2 million context window. Now generally available for production … t caching $0.875 / 1 million tokens (for prompts up to 128K tokens) $1.75 / 1 million tokens (for prompts longer than 128K) $4.50 / 1 million tokens per hour (storage) Learn more Price (output) $10.50”

Tier evidence: “Available now Gemini 1.5 Pro Our next-generation model with a breakthrough 2 million context window.” Google's current generation (Gemini 1.5) had two general-purpose models; under the method the higher-priced is its frontier model and the lower-priced its small model. Gemini 1.0 Pro is the previous generation.

Prompts up to the shortest context band (128K or 200K tokens).

SHA-256 0f012f1f1c1d7e74…

Frontier modelsClaude 3.5 Sonnet Anthropic$3.00$15.00$6.00
Archived July 30, 2024

Official source · Internet Archive copy

“Claude 3.5 Sonnet Claude 3 Opus Claude 3 Sonnet Claude 3 Haiku Description Most intelligent model Powerful model for highly complex tasks Ba … API Comparative latency Fast Moderately fast Fast Fastest Context window 200K 200K 200K 200K Max output 8192 tokens 1 4096 tokens 4096 tokens 4096 tokens Cost (Input / Output per MTok ) $3.00 / $15.00”

Tier evidence: “Claude 3.5 Sonnet Claude 3 Opus Claude 3 Sonnet Claude 3 Haiku Description Most intelligent model” Claude 3.5 Sonnet succeeded Claude 3 Sonnet and Anthropic presented it as its most intelligent model, so it holds the frontier slot; under the method the predecessor leaves the basket, and Anthropic has no mid-range constituent until it again sells a model between its frontier and small models.

SHA-256 3da7234815ca5afc…

Frontier modelsGPT-4o OpenAI$5.00$15.00$7.50
Archived July 29, 2024

Official source · Internet Archive copy

“gpt-4o $5.00 / 1 M input tokens $2.50 / 1 M input tokens $15.00 / 1 M output tokens $7.50”

Tier evidence: “GPT-4o is our most advanced multimodal model”

SHA-256 11f54688fcdb9ab8…

Small modelsGPT-4o mini OpenAI$0.15$0.60$0.26
Archived July 29, 2024

Official source · Internet Archive copy

“gpt-4o-mini $0.150 / 1 M input tokens $0.075 / 1 M input tokens $0.600 / 1 M output tokens $0.300”

Tier evidence: “GPT-4o mini is our most cost-efficient small model”

SHA-256 11f54688fcdb9ab8…

Small modelsClaude 3 Haiku Anthropic$0.25$1.25$0.50
Archived July 30, 2024

Official source · Internet Archive copy

“Claude 3.5 Sonnet Claude 3 Opus Claude 3 Sonnet Claude 3 Haiku Description Most intelligent model Powerful model for highly complex tasks Ba … Fast Fastest Context window 200K 200K 200K 200K Max output 8192 tokens 1 4096 tokens 4096 tokens 4096 tokens Cost (Input / Output per MTok ) $3.00 / $15.00 $15.00 / $75.00 $3.00 / $15.00 $0.25 / $1.25”

Tier evidence: “Claude 3.5 Sonnet Claude 3 Opus Claude 3 Sonnet Claude 3 Haiku Description Most intelligent model Powerful model for highly complex tasks Balance of intelligence and speed Fastest and most compact model for near-instant responsiveness”

SHA-256 3da7234815ca5afc…

Small modelsGemini 1.5 Flash Google$0.35$1.05$0.53
Archived July 27, 2024

Official source · Internet Archive copy

“Available now Gemini 1.5 Flash Our fastest multimodal model with great performance for diverse, repetitive tasks and a 1 million context win … caching $0.0875 / 1 million tokens (for prompts up to 128K tokens) $0.175 / 1 million tokens (for prompts longer than 128K) $1.00 / 1 million tokens per hour (storage) Learn more Price (output) $1.05”

Tier evidence: “Available now Gemini 1.5 Flash Our fastest multimodal model with great performance for diverse, repetitive tasks” Google's current generation (Gemini 1.5) had two general-purpose models; under the method the higher-priced is its frontier model and the lower-priced its small model. Gemini 1.0 Pro is the previous generation.

Prompts up to the shortest context band (128K or 200K tokens).

SHA-256 0f012f1f1c1d7e74…

Small modelsMistral Small Mistral AI$1.00$3.00$1.50
Archived July 31, 2024

Official source · Internet Archive copy

“mistral-small-latest Cost-efficient reasoning, optimised for high volume use cases that require low latency. $1 /1M tokens $3”

Tier evidence: “mistral-small-latest Cost-efficient reasoning, optimised for high volume use cases that require low latency.” Mistral's open-weight models (Mistral 7B, Mixtral, NeMo) are cheaper, but the model Mistral itself positions for low-latency or high-volume work is Mistral Small, which takes the small slot.

SHA-256 0b2e29af935a6197…

Subscription prices, US dollars per month
TierPlanMonthlySource

Use the data

Embed the index

Always shows the latest edition and links back here.

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Licence and citation

Data: CC BY 4.0. Credit “Kingy AI Price Index” with a link to kingy.ai/ai-price-index. To cite one edition, use its permanent URL, for example https://kingy.ai/ai-price-index/2024-08/.

Found an error? Report it. Corrections are logged with the original value kept.

Method

How the index works Method v1.0

Kingy AI Price Index — methodology v1.0

Adopted October 19, 2026, for the October 2026 launch edition. It replaces the KAPI research beta at kingy.ai/kapi/ (release kapi-shadow-2026-08-24), which published dated price observations but withheld any official index.

What the index measures

The published list price, in US dollars, of:

  1. API tokens for each leading AI developer's current flagship, mid-range and small text models.
  2. Consumer subscriptions for each provider's standard paid plan and its top individual plan.

It measures what a buyer is charged at list price. It is not a quality ranking, a cost-per-task measure or a usage-weighted market average.

Editions and timing

  • One edition per calendar month, identified YYYY-MM.
  • From November 2026, prices are captured on the 1st of the month (UTC) and the edition is published within two days. The capture date is printed on every edition. A capture made later than the 3rd says so.
  • The October 2026 launch edition was captured on October 19, 2026. Its comparison point is a reconstructed September 2026 baseline: the prices in effect on September 20, 2026, read from Internet Archive snapshots of the same official pages. The November 2026 edition therefore covers a 13-day interval and is labelled as a launch transition.
  • A published edition is frozen. Between editions, a weekly check re-reads every source and lists verified changes under "Since this edition". Those interim changes enter the index only in the next edition.

Reconstructed history

Editions for January 2024 to August 2026 were reconstructed in October 2026 with this method, from Internet Archive snapshots of the providers' own pricing pages. Each uses the prices in effect at 00:00 UTC on the 1st of its month, read from the last snapshot taken at or before that moment and no more than 31 days earlier. Every price keeps its snapshot link, the SHA-256 of the archived bytes and a verbatim excerpt, and every tier assignment carries the provider's own words. Where the method needed interpreting for a past lineup (for example OpenAI's o-series reasoning models, which its pricing page listed apart from its flagship GPT models), the rule applied is written on the price.

  • Subscriptions are not reconstructed, so the subscription tiers start in September 2026.
  • A tier with fewer than three verified prices is not published for that month. No tier is published before April 2024, and the mid-range tier starts in June 2025.
  • Moonshot AI's archived pages carry no prices, so it is absent before September 2026.
  • Prices printed per 1,000 tokens or held in page data are converted to dollars per million tokens, and the published figures are shown beside them.
  • The index base stays September 2026 = 100, so adding the history moved no published level.
  • Reconstructed editions are labelled as such and are not indexed by search engines. Kingy did not publish an edition in those months.

Sources

Only the provider's own official pricing or model documentation counts. Resellers, aggregators and press coverage do not. For every observation Kingy keeps the URL, the capture time, the SHA-256 of the captured bytes and a verbatim excerpt that must contain the published numbers. If the excerpt check fails, the observation is withheld.

API basket

Providers (v1)

OpenAI, Anthropic, Google, xAI, DeepSeek, Moonshot AI, Mistral AI and Alibaba Cloud (Qwen). A provider qualifies if it sells self-serve, pay-as-you-go API access to a general-purpose text model at a published USD price. Providers are added or removed only with notice one edition ahead.

Tiers

Each provider contributes at most one model per tier. A provider with no distinct model for a tier is absent from that tier; one model never fills two tiers.

TierRule
FrontierThe model the provider itself presents as its most capable or flagship general-purpose text model. If the provider makes no such statement, the newest model in its highest-priced general-purpose product line.
MidThe provider's main model between its frontier and small models: the line it describes as balancing capability with speed or cost (for example Claude Sonnet, Gemini Flash, OpenAI's "balance intelligence and cost" model).
SmallThe provider's lowest-cost general-purpose text model in its current generation, positioned for high-volume or latency-sensitive work. Edge and on-device models are excluded.

Eligibility:

  • The model must be purchasable by any paid self-serve customer at a published price. Paid previews count. Experimental, free-only, waitlist, limited-availability and enterprise-only models do not.
  • Specialised models (coding-only, audio, image, video, embedding, search, "deep research" or premium-compute "Pro" variants) are excluded.
  • A provider that sells exactly two general-purpose models has its higher-priced model in Frontier and its lower-priced model in Small.
  • The provider's own words that justify each tier assignment are captured and shown next to the model. Where an archived date has no positioning page, the model in the same product line as the next edition's constituent takes the tier (for example Claude Haiku → Small), and the page says so.

When a provider launches a successor, the successor replaces its predecessor in the next edition if it meets the rule. This is deliberate: the index tracks what each lab's current lineup costs, not what an aging model costs.

Price measured

  • Standard (on-demand) processing. Not batch, flex, priority, fast or regional-residency rates.
  • Uncached input and output, per million tokens.
  • The shortest-context price band when prices vary by prompt length.
  • Time-of-day pricing: the peak (higher) rate.
  • Tools, search, grounding and storage are excluded.
  • A promotional or time-limited price counts if every paid customer is charged it on the capture date. The scheduled future price is recorded and shown.

Calculation

  • Blended price per model = 0.75 × input price + 0.25 × output price (a 3:1 input-to-output token mix, the common industry convention). Input and output prices are also published separately so anyone can apply another mix.
  • Tier value = the median blended price of the tier's constituents, equally weighted. With an even number of constituents it is the mean of the middle two.
  • A tier is published only if at least three constituents have verified prices.
  • Month-on-month change = tier value ÷ previous edition's tier value − 1, rounded to one decimal place.
  • Like-for-like changes: for each model present in both editions, any change in its own input or output price is listed. These separate real price moves from basket changes caused by launches.

Subscription basket

  • Providers (v1): OpenAI, Anthropic, Google, xAI, Perplexity and Mistral AI. Microsoft is left out because its plan pages do not reliably publish the price, and its plans bundle Office apps with Copilot.
  • Standard plan: each provider's core individual paid plan, above any low-cost entry plan (for example ChatGPT Plus rather than ChatGPT Go, Google AI Pro rather than Google AI Plus).
  • Top plan: each provider's highest-priced individual consumer plan. A provider with only one paid individual plan appears only under Standard.
  • Price: US list price, monthly billing, USD, before tax, bought on the web (not in a mobile app store).
  • Business, team and enterprise plans are excluded.
  • Tier value = median monthly price. Same three-constituent minimum and change rules as the API basket.

Revisions and corrections

Published values are never silently changed. An error is corrected with a dated correction note that keeps the original value in the data. A methodology change gets a new version number; earlier editions keep the method they were published under.

Limitations

  • Tokens are not words. Tokenisers differ between providers and model generations. Anthropic, for example, says its 4.7-and-later models produce about 30% more tokens for the same text. A lower price per token can still mean a higher price per task.
  • Reasoning models can emit many more output tokens per answer. The 3:1 blend does not capture that.
  • List price only. Discounts, committed-use contracts, batch, caching and free tiers are excluded.
  • Equal weights. The index does not weight by usage or market share; Kingy has no reliable usage data across providers.
  • Subscriptions are not usage-equivalent. Plans differ in limits and features. The subscription index tracks the list price people pay, not value per dollar.

Licence and citation

The data is published under CC BY 4.0. Cite as: Kingy AI Price Index, <Month YYYY> edition, Kingy AI, https://kingy.ai/ai-price-index/YYYY-MM/.

Left out of v1, and why

  • Alibaba Cloud (Qwen). Model Studio prices vary by deployment region, thinking mode and context band on one page. v1 leaves Qwen out until a single comparable list price can be read reliably.
  • Microsoft (Microsoft 365 Premium / Pro). Microsoft's plan pages do not reliably publish the price in the page itself (it appeared in one of four fetches on October 19, 2026), and its plans bundle Office apps with Copilot. Left out of v1 subscriptions until a stable official price source exists.

Editions and corrections

Reconstructed history (32 months)
  • August 2026 Reconstructed, prices of August 1, 2026 · no corrections
  • July 2026 Reconstructed, prices of July 1, 2026 · no corrections
  • June 2026 Reconstructed, prices of June 1, 2026 · no corrections
  • May 2026 Reconstructed, prices of May 1, 2026 · no corrections
  • April 2026 Reconstructed, prices of April 1, 2026 · no corrections
  • March 2026 Reconstructed, prices of March 1, 2026 · no corrections
  • February 2026 Reconstructed, prices of February 1, 2026 · no corrections
  • January 2026 Reconstructed, prices of January 1, 2026 · no corrections
  • December 2025 Reconstructed, prices of December 1, 2025 · no corrections
  • November 2025 Reconstructed, prices of November 1, 2025 · no corrections
  • October 2025 Reconstructed, prices of October 1, 2025 · no corrections
  • September 2025 Reconstructed, prices of September 1, 2025 · no corrections
  • August 2025 Reconstructed, prices of August 1, 2025 · no corrections
  • July 2025 Reconstructed, prices of July 1, 2025 · no corrections
  • June 2025 Reconstructed, prices of June 1, 2025 · no corrections
  • May 2025 Reconstructed, prices of May 1, 2025 · no corrections
  • April 2025 Reconstructed, prices of April 1, 2025 · no corrections
  • March 2025 Reconstructed, prices of March 1, 2025 · no corrections
  • February 2025 Reconstructed, prices of February 1, 2025 · no corrections
  • January 2025 Reconstructed, prices of January 1, 2025 · no corrections
  • December 2024 Reconstructed, prices of December 1, 2024 · no corrections
  • November 2024 Reconstructed, prices of November 1, 2024 · no corrections
  • October 2024 Reconstructed, prices of October 1, 2024 · no corrections
  • September 2024 Reconstructed, prices of September 1, 2024 · no corrections
  • August 2024 Reconstructed, prices of August 1, 2024 · no corrections
  • July 2024 Reconstructed, prices of July 1, 2024 · no corrections
  • June 2024 Reconstructed, prices of June 1, 2024 · no corrections
  • May 2024 Reconstructed, prices of May 1, 2024 · no corrections
  • April 2024 Reconstructed, prices of April 1, 2024 · no corrections
  • March 2024 Reconstructed, prices of March 1, 2024 · no corrections
  • February 2024 Reconstructed, prices of February 1, 2024 · no corrections
  • January 2024 Reconstructed, prices of January 1, 2024 · no corrections