package chatoyant
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>
OCaml-first LLM SDK with Melange-generated JavaScript
Install
dune-project
Dependency
Authors
Maintainers
Sources
chatoyant-v0.12.1.tbz
sha256=72752addb69fe17825f43f5a861f8d0a7817f6a5a711916e722023e10679daff
sha512=d1a62989e34f8b9173d4c53f8e17c611900855df8a139888e73ee509b445ef1e65105c17bb399bf25712a893a251827513f18ed36d0e2b3fcc908fb00584c6f3
doc/src/chatoyant.tokens/pricing.ml.html
Source file pricing.ml
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227let p ?cached ?cache_write_5m ?cache_write_1h ?per_image ?per_second ~input ~output () = Cost.pricing ?cached_per_million:cached ?cache_write_per_million:cache_write_5m ?cache_write_1h_per_million:cache_write_1h ?per_image ?per_second ~input_per_million:input ~output_per_million:output () let all = [ ("gpt-5.4", p ~input:2.5 ~output:15.0 ~cached:0.25 ()); ("gpt-5.4-mini", p ~input:0.75 ~output:4.5 ~cached:0.075 ()); ("gpt-5.4-nano", p ~input:0.2 ~output:1.25 ~cached:0.02 ()); ("gpt-5.4-pro", p ~input:30.0 ~output:180.0 ()); ("gpt-5.2", p ~input:1.75 ~output:14.0 ~cached:0.175 ()); ("gpt-5.2-pro", p ~input:21.0 ~output:168.0 ()); ("gpt-5.2-codex", p ~input:1.75 ~output:14.0 ~cached:0.175 ()); ("gpt-5.1", p ~input:1.25 ~output:10.0 ~cached:0.125 ()); ("gpt-5.1-codex", p ~input:1.25 ~output:10.0 ~cached:0.125 ()); ("gpt-5.1-codex-max", p ~input:1.25 ~output:10.0 ~cached:0.125 ()); ("gpt-5.1-codex-mini", p ~input:0.25 ~output:2.0 ~cached:0.025 ()); ("gpt-5", p ~input:1.25 ~output:10.0 ~cached:0.125 ()); ("gpt-5-pro", p ~input:15.0 ~output:120.0 ()); ("gpt-5-mini", p ~input:0.25 ~output:2.0 ~cached:0.025 ()); ("gpt-5-nano", p ~input:0.05 ~output:0.4 ~cached:0.005 ()); ("gpt-5-codex", p ~input:1.25 ~output:10.0 ~cached:0.125 ()); ("gpt-5-image", p ~input:10.0 ~output:10.0 ~cached:1.25 ()); ("gpt-5-image-mini", p ~input:2.5 ~output:2.0 ~cached:0.25 ()); ("gpt-4o", p ~input:2.5 ~output:10.0 ~cached:1.25 ()); ("gpt-4o-2024-11-20", p ~input:2.5 ~output:10.0 ~cached:1.25 ()); ("gpt-4o-2024-08-06", p ~input:2.5 ~output:10.0 ~cached:1.25 ()); ("gpt-4o-2024-05-13", p ~input:5.0 ~output:15.0 ()); ("gpt-4o-mini", p ~input:0.15 ~output:0.6 ~cached:0.075 ()); ("gpt-4o-mini-2024-07-18", p ~input:0.15 ~output:0.6 ~cached:0.075 ()); ("gpt-4.1", p ~input:2.0 ~output:8.0 ~cached:0.5 ()); ("gpt-4.1-mini", p ~input:0.4 ~output:1.6 ~cached:0.1 ()); ("gpt-4.1-nano", p ~input:0.1 ~output:0.4 ~cached:0.025 ()); ("gpt-4-turbo", p ~input:5.0 ~output:15.0 ()); ("gpt-4-turbo-2024-04-09", p ~input:5.0 ~output:15.0 ()); ("gpt-4-turbo-preview", p ~input:5.0 ~output:15.0 ()); ("gpt-4", p ~input:30.0 ~output:60.0 ()); ("gpt-4-0613", p ~input:30.0 ~output:60.0 ()); ("gpt-4-32k", p ~input:60.0 ~output:120.0 ()); ("gpt-3.5-turbo", p ~input:0.5 ~output:1.5 ()); ("gpt-3.5-turbo-0125", p ~input:0.5 ~output:1.5 ()); ("gpt-3.5-turbo-16k", p ~input:3.0 ~output:4.0 ()); ("o1", p ~input:15.0 ~output:60.0 ~cached:7.5 ()); ("o1-2024-12-17", p ~input:15.0 ~output:60.0 ~cached:7.5 ()); ("o1-preview", p ~input:15.0 ~output:60.0 ()); ("o1-mini", p ~input:3.0 ~output:12.0 ()); ("o1-pro", p ~input:150.0 ~output:600.0 ()); ("o3", p ~input:2.0 ~output:8.0 ~cached:0.5 ()); ("o3-2025-04-16", p ~input:2.0 ~output:8.0 ~cached:0.5 ()); ("o3-mini", p ~input:1.1 ~output:4.4 ~cached:0.55 ()); ("o3-mini-2025-01-31", p ~input:1.1 ~output:4.4 ~cached:0.55 ()); ("o3-pro", p ~input:20.0 ~output:80.0 ()); ("o3-deep-research", p ~input:10.0 ~output:40.0 ~cached:2.5 ()); ("o4-mini", p ~input:1.1 ~output:4.4 ~cached:0.275 ()); ("o4-mini-deep-research", p ~input:2.0 ~output:8.0 ()); ("gpt-oss-120b", p ~input:0.039 ~output:0.19 ()); ("gpt-oss-20b", p ~input:0.03 ~output:0.14 ()); ("text-embedding-3-small", p ~input:0.02 ~output:0.0 ()); ("text-embedding-3-large", p ~input:0.13 ~output:0.0 ()); ("text-embedding-ada-002", p ~input:0.1 ~output:0.0 ()); ( "claude-opus-4-6", p ~input:5.0 ~output:25.0 ~cached:0.5 ~cache_write_5m:6.25 ~cache_write_1h:10.0 () ); ( "claude-sonnet-4-6", p ~input:3.0 ~output:15.0 ~cached:0.3 ~cache_write_5m:3.75 ~cache_write_1h:6.0 () ); ( "claude-opus-4-5-20251101", p ~input:5.0 ~output:25.0 ~cached:0.5 ~cache_write_5m:6.25 ~cache_write_1h:10.0 () ); ( "claude-opus-4-5", p ~input:5.0 ~output:25.0 ~cached:0.5 ~cache_write_5m:6.25 ~cache_write_1h:10.0 () ); ( "claude-sonnet-4-5-20250929", p ~input:3.0 ~output:15.0 ~cached:0.3 ~cache_write_5m:3.75 ~cache_write_1h:6.0 () ); ( "claude-sonnet-4-5", p ~input:3.0 ~output:15.0 ~cached:0.3 ~cache_write_5m:3.75 ~cache_write_1h:6.0 () ); ( "claude-haiku-4-5-20251001", p ~input:1.0 ~output:5.0 ~cached:0.1 ~cache_write_5m:1.25 ~cache_write_1h:2.0 () ); ( "claude-haiku-4-5", p ~input:1.0 ~output:5.0 ~cached:0.1 ~cache_write_5m:1.25 ~cache_write_1h:2.0 () ); ( "claude-opus-4-1-20250805", p ~input:15.0 ~output:75.0 ~cached:1.5 ~cache_write_5m:18.75 ~cache_write_1h:30.0 () ); ( "claude-opus-4-1", p ~input:15.0 ~output:75.0 ~cached:1.5 ~cache_write_5m:18.75 ~cache_write_1h:30.0 () ); ( "claude-sonnet-4-20250514", p ~input:3.0 ~output:15.0 ~cached:0.3 ~cache_write_5m:3.75 ~cache_write_1h:6.0 () ); ( "claude-sonnet-4-0", p ~input:3.0 ~output:15.0 ~cached:0.3 ~cache_write_5m:3.75 ~cache_write_1h:6.0 () ); ( "claude-opus-4-20250514", p ~input:15.0 ~output:75.0 ~cached:1.5 ~cache_write_5m:18.75 ~cache_write_1h:30.0 () ); ( "claude-opus-4-0", p ~input:15.0 ~output:75.0 ~cached:1.5 ~cache_write_5m:18.75 ~cache_write_1h:30.0 () ); ( "claude-3-5-sonnet-20241022", p ~input:3.0 ~output:15.0 ~cached:0.3 ~cache_write_5m:3.75 ~cache_write_1h:6.0 () ); ( "claude-3-5-sonnet-20240620", p ~input:3.0 ~output:15.0 ~cached:0.3 ~cache_write_5m:3.75 ~cache_write_1h:6.0 () ); ( "claude-3-5-haiku-20241022", p ~input:0.8 ~output:4.0 ~cached:0.08 ~cache_write_5m:1.0 ~cache_write_1h:1.6 () ); ( "claude-3-opus-20240229", p ~input:15.0 ~output:75.0 ~cached:1.5 ~cache_write_5m:18.75 ~cache_write_1h:30.0 () ); ( "claude-3-haiku-20240307", p ~input:0.25 ~output:1.25 ~cached:0.03 ~cache_write_5m:0.3 ~cache_write_1h:0.5 () ); ("grok-4.20-0309-reasoning", p ~input:2.0 ~output:6.0 ~cached:0.2 ()); ("grok-4.20-0309-non-reasoning", p ~input:2.0 ~output:6.0 ~cached:0.2 ()); ("grok-4.20-multi-agent-0309", p ~input:2.0 ~output:6.0 ~cached:0.2 ()); ("grok-4-1-fast-reasoning", p ~input:0.2 ~output:0.5 ~cached:0.05 ()); ("grok-4-1-fast-non-reasoning", p ~input:0.2 ~output:0.5 ~cached:0.05 ()); ("grok-4-fast-reasoning", p ~input:0.2 ~output:0.5 ~cached:0.05 ()); ("grok-4-fast-non-reasoning", p ~input:0.2 ~output:0.5 ~cached:0.05 ()); ("grok-4-0709", p ~input:3.0 ~output:15.0 ~cached:0.75 ()); ("grok-4", p ~input:3.0 ~output:15.0 ~cached:0.75 ()); ("grok-code-fast-1", p ~input:0.2 ~output:1.5 ~cached:0.02 ()); ("grok-3", p ~input:3.0 ~output:15.0 ~cached:0.75 ()); ("grok-3-mini", p ~input:0.3 ~output:0.5 ~cached:0.07 ()); ("grok-2-vision-1212", p ~input:2.0 ~output:10.0 ()); ("grok-imagine-image", p ~input:0.0 ~output:0.0 ~per_image:0.02 ()); ("grok-imagine-image-pro", p ~input:0.0 ~output:0.0 ~per_image:0.07 ()); ("grok-imagine-video", p ~input:0.0 ~output:0.0 ~per_second:0.05 ()); ("grok-embedding-1", p ~input:0.0 ~output:0.0 ()); ] let starts_with ~prefix value = let prefix_len = String.length prefix in String.length value >= prefix_len && String.sub value 0 prefix_len = prefix let contains text needle = let needle_len = String.length needle in let text_len = String.length text in let rec loop index = if needle_len = 0 then true else if index + needle_len > text_len then false else if String.sub text index needle_len = needle then true else loop (index + 1) in loop 0 let family_model model = let lower = String.lowercase_ascii model in if starts_with ~prefix:"claude" lower && contains lower "opus" then Some "claude-opus-4-6" else if starts_with ~prefix:"claude" lower && contains lower "sonnet" then Some "claude-sonnet-4-6" else if starts_with ~prefix:"claude" lower && contains lower "haiku" then Some "claude-haiku-4-5" else if starts_with ~prefix:"gpt-" lower && contains lower "-nano" then Some "gpt-5.4-nano" else if starts_with ~prefix:"gpt-" lower && contains lower "-mini" then Some "gpt-5.4-mini" else if starts_with ~prefix:"gpt-" lower && contains lower "-pro" then Some "gpt-5.4-pro" else if starts_with ~prefix:"gpt-" lower && contains lower "-codex" then Some "gpt-5.2-codex" else if starts_with ~prefix:"gpt-" lower && contains lower "o" then Some "gpt-4o" else if starts_with ~prefix:"gpt-" lower then Some "gpt-5.4" else if starts_with ~prefix:"o" lower && contains lower "-mini" then Some "o4-mini" else if starts_with ~prefix:"o" lower && contains lower "-pro" then Some "o3-pro" else if starts_with ~prefix:"o" lower then Some "o3" else if starts_with ~prefix:"grok-4.20" lower then Some "grok-4.20-0309-reasoning" else if starts_with ~prefix:"grok-" lower && contains lower "fast-reasoning" then Some "grok-4-1-fast-reasoning" else if starts_with ~prefix:"grok-" lower && contains lower "fast-non-reasoning" then Some "grok-4-1-fast-non-reasoning" else if starts_with ~prefix:"grok-" lower && contains lower "mini" then Some "grok-3-mini" else if starts_with ~prefix:"grok-" lower && contains lower "code" then Some "grok-code-fast-1" else if starts_with ~prefix:"grok-imagine-image-pro" lower then Some "grok-imagine-image-pro" else if starts_with ~prefix:"grok-imagine-image" lower then Some "grok-imagine-image" else if starts_with ~prefix:"grok-imagine-video" lower then Some "grok-imagine-video" else if starts_with ~prefix:"grok-" lower then Some "grok-4.20-0309-reasoning" else if starts_with ~prefix:"chatgpt" lower then Some "o1-pro" else None let provider_max_model model = let lower = String.lowercase_ascii model in if starts_with ~prefix:"claude" lower then Some "claude-opus-4-1" else if starts_with ~prefix:"gpt-" lower || starts_with ~prefix:"chatgpt" lower || starts_with ~prefix:"o" lower then Some "o1-pro" else if starts_with ~prefix:"grok" lower then Some "grok-4-0709" else None let get ?fallback model = match List.assoc_opt model all with | Some pricing -> Some pricing | None -> ( match Option.bind (family_model model) (fun model -> List.assoc_opt model all) with | Some _ as pricing -> pricing | None -> ( match Option.bind (provider_max_model model) (fun model -> List.assoc_opt model all) with | Some _ as pricing -> pricing | None -> fallback)) let has model = Option.is_some (List.assoc_opt model all)
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