models.php
770 lines
| 1 | <?php |
| 2 | |
| 3 | // Price as of June 2024: https://openai.com/api/pricing/ |
| 4 | |
| 5 | define( 'MWAI_OPENAI_MODELS', [ |
| 6 | /* |
| 7 | GPT 4.1 |
| 8 | Flagship GPT model for complex tasks |
| 9 | https://platform.openai.com/docs/models/gpt-4.1 |
| 10 | */ |
| 11 | [ |
| 12 | "model" => "gpt-4.1", |
| 13 | "name" => "GPT-4.1", |
| 14 | "family" => "gpt41", |
| 15 | "features" => ['completion'], |
| 16 | "price" => [ |
| 17 | "in" => 2.00, |
| 18 | "out" => 8.00, |
| 19 | ], |
| 20 | "type" => "token", |
| 21 | "unit" => 1 / 1000000, |
| 22 | "maxCompletionTokens" => 32768, |
| 23 | "maxContextualTokens" => 1047576, |
| 24 | "finetune" => false, |
| 25 | "tags" => ['core', 'chat', 'vision', 'functions', 'json', 'finetune', 'responses', 'mcp'] |
| 26 | ], |
| 27 | /* |
| 28 | GPT-4.1 mini |
| 29 | Balanced for intelligence, speed, and cost |
| 30 | https://platform.openai.com/docs/models/gpt-4.1-mini |
| 31 | */ |
| 32 | [ |
| 33 | "model" => "gpt-4.1-mini", |
| 34 | "name" => "GPT-4.1 Mini", |
| 35 | "family" => "gpt41", |
| 36 | "features" => ['completion'], |
| 37 | "price" => [ |
| 38 | "in" => 0.40, |
| 39 | "out" => 1.60, |
| 40 | ], |
| 41 | "type" => "token", |
| 42 | "unit" => 1 / 1000000, |
| 43 | "maxCompletionTokens" => 32768, |
| 44 | "maxContextualTokens" => 1047576, |
| 45 | "finetune" => false, |
| 46 | "tags" => ['core', 'chat', 'vision', 'functions', 'json', 'finetune', 'responses', 'mcp'] |
| 47 | ], |
| 48 | /* |
| 49 | GPT-4.1 nano |
| 50 | Fastest, most cost-effective GPT-4.1 model |
| 51 | https://platform.openai.com/docs/models/gpt-4.1-nano |
| 52 | */ |
| 53 | [ |
| 54 | "model" => "gpt-4.1-nano", |
| 55 | "name" => "GPT-4.1 Nano", |
| 56 | "family" => "gpt41", |
| 57 | "features" => ['completion'], |
| 58 | "price" => [ |
| 59 | "in" => 0.10, |
| 60 | "out" => 0.40, |
| 61 | ], |
| 62 | "type" => "token", |
| 63 | "unit" => 1 / 1000000, |
| 64 | "maxCompletionTokens" => 32768, |
| 65 | "maxContextualTokens" => 1047576, |
| 66 | "finetune" => false, |
| 67 | "tags" => ['core', 'chat', 'vision', 'functions', 'json', 'finetune', 'responses', 'mcp'] |
| 68 | ], |
| 69 | /* |
| 70 | GPT-4o |
| 71 | Fast, intelligent, flexible GPT model |
| 72 | https://platform.openai.com/docs/models/gpt-4o |
| 73 | */ |
| 74 | [ |
| 75 | "model" => "gpt-4o", |
| 76 | "name" => "GPT-4o", |
| 77 | "family" => "gpt4", |
| 78 | "features" => ['completion'], |
| 79 | "price" => [ |
| 80 | "in" => 2.50, |
| 81 | "out" => 10.00, |
| 82 | ], |
| 83 | "type" => "token", |
| 84 | "unit" => 1 / 1000000, |
| 85 | "maxCompletionTokens" => 16384, |
| 86 | "maxContextualTokens" => 128000, |
| 87 | "finetune" => false, |
| 88 | "tags" => ['core', 'chat', 'vision', 'functions', 'json', 'finetune', 'mcp'] |
| 89 | ], |
| 90 | /* |
| 91 | GPT-4o mini |
| 92 | Fast, affordable small model for focused tasks |
| 93 | https://platform.openai.com/docs/models/gpt-4o-mini |
| 94 | */ |
| 95 | [ |
| 96 | "model" => "gpt-4o-mini", |
| 97 | "name" => "GPT-4o Mini", |
| 98 | "family" => "gpt4", |
| 99 | "features" => ['completion'], |
| 100 | "price" => [ |
| 101 | "in" => 0.15, |
| 102 | "out" => 0.60, |
| 103 | ], |
| 104 | "type" => "token", |
| 105 | "unit" => 1 / 1000000, |
| 106 | "maxCompletionTokens" => 16384, |
| 107 | "maxContextualTokens" => 128000, |
| 108 | "finetune" => [ |
| 109 | "in" => 0.15, |
| 110 | "out" => 0.60, |
| 111 | "train" => 3.00 |
| 112 | ], |
| 113 | "tags" => ['core', 'chat', 'vision', 'functions', 'json', 'finetune', 'mcp'] |
| 114 | ], |
| 115 | /* |
| 116 | o1 |
| 117 | High-intelligence reasoning mode |
| 118 | https://platform.openai.com/docs/models/o1 |
| 119 | */ |
| 120 | [ |
| 121 | "model" => "o1", |
| 122 | "name" => "o1", |
| 123 | "family" => "o1", |
| 124 | "features" => ['completion'], |
| 125 | "price" => [ |
| 126 | "in" => 15.00, |
| 127 | "out" => 60.00, |
| 128 | ], |
| 129 | "type" => "token", |
| 130 | "unit" => 1 / 1000000, |
| 131 | "maxCompletionTokens" => 100000, |
| 132 | "maxContextualTokens" => 200000, |
| 133 | "tags" => ['core', 'chat', 'o1-model', 'reasoning', 'mcp'] |
| 134 | ], |
| 135 | [ |
| 136 | "model" => "o1-mini", |
| 137 | "name" => "o1 Mini", |
| 138 | "family" => "o1", |
| 139 | "features" => ['completion'], |
| 140 | "price" => [ |
| 141 | "in" => 1.10, |
| 142 | "out" => 4.40, |
| 143 | ], |
| 144 | "type" => "token", |
| 145 | "unit" => 1 / 1000000, |
| 146 | "maxCompletionTokens" => 65536, |
| 147 | "maxContextualTokens" => 128000, |
| 148 | "tags" => ['core', 'chat', 'o1-model', 'reasoning', 'mcp'] |
| 149 | ], |
| 150 | /* |
| 151 | o3 |
| 152 | Advanced reasoning model |
| 153 | https://platform.openai.com/docs/models/o3 |
| 154 | */ |
| 155 | [ |
| 156 | "model" => "o3", |
| 157 | "name" => "o3", |
| 158 | "family" => "o3", |
| 159 | "features" => ['completion'], |
| 160 | "price" => [ |
| 161 | "in" => 15.00, |
| 162 | "out" => 60.00, |
| 163 | ], |
| 164 | "type" => "token", |
| 165 | "unit" => 1 / 1000000, |
| 166 | "maxCompletionTokens" => 100000, |
| 167 | "maxContextualTokens" => 200000, |
| 168 | "tags" => ['core', 'chat', 'o1-model', 'reasoning', 'responses', 'mcp'] |
| 169 | ], |
| 170 | /* |
| 171 | o3-mini |
| 172 | Fast, flexible, intelligent reasoning model |
| 173 | https://platform.openai.com/docs/models/o3-mini |
| 174 | */ |
| 175 | [ |
| 176 | "model" => "o3-mini", |
| 177 | "name" => "o3 Mini", |
| 178 | "family" => "o3", |
| 179 | "features" => ['completion'], |
| 180 | "price" => [ |
| 181 | "in" => 1.10, |
| 182 | "out" => 4.40, |
| 183 | ], |
| 184 | "type" => "token", |
| 185 | "unit" => 1 / 1000000, |
| 186 | "maxCompletionTokens" => 100000, |
| 187 | "maxContextualTokens" => 200000, |
| 188 | "tags" => ['core', 'chat', 'o1-model', 'reasoning', 'responses', 'mcp'] |
| 189 | ], |
| 190 | /* |
| 191 | GPT-4o Realtime |
| 192 | Model capable of realtime text and audio inputs and outputs |
| 193 | https://platform.openai.com/docs/models/gpt-4o-realtime-preview |
| 194 | */ |
| 195 | [ |
| 196 | "model" => "gpt-4o-realtime-preview", |
| 197 | "name" => "GPT-4o Realtime (Preview)", |
| 198 | "family" => "gpt4-o-realtime", |
| 199 | "features" => ['core', 'realtime', 'functions'], |
| 200 | "price" => [ |
| 201 | "text" => [ |
| 202 | "in" => 5.00, |
| 203 | "cache" => 2.50, |
| 204 | "out" => 20.00, |
| 205 | ], |
| 206 | "audio" => [ |
| 207 | "in" => 100.00, |
| 208 | "cache" => 20.00, |
| 209 | "out" => 200.00, |
| 210 | ] |
| 211 | ], |
| 212 | "type" => "token", |
| 213 | "unit" => 1 / 1000000, |
| 214 | "maxCompletionTokens" => 4096, |
| 215 | "maxContextualTokens" => 128000, |
| 216 | "finetune" => false, |
| 217 | "tags" => ['core', 'realtime', 'functions'] |
| 218 | ], |
| 219 | /* |
| 220 | GPT-4o mini Realtime |
| 221 | Smaller realtime model for text and audio inputs and outputs |
| 222 | https://platform.openai.com/docs/models/gpt-4o-mini-realtime-preview |
| 223 | */ |
| 224 | [ |
| 225 | "model" => "gpt-4o-mini-realtime-preview", |
| 226 | "name" => "GPT-4o Mini Realtime (Preview)", |
| 227 | "family" => "gpt4-o-realtime", |
| 228 | "features" => ['core', 'realtime', 'functions'], |
| 229 | "price" => [ |
| 230 | "text" => [ |
| 231 | "in" => 0.60, |
| 232 | "cache" => 0.30, |
| 233 | "out" => 2.40, |
| 234 | ], |
| 235 | "audio" => [ |
| 236 | "in" => 10.00, |
| 237 | "cache" => 0.30, |
| 238 | "out" => 20.00, |
| 239 | ] |
| 240 | ], |
| 241 | "type" => "token", |
| 242 | "unit" => 1 / 1000000, |
| 243 | "maxCompletionTokens" => 4096, |
| 244 | "maxContextualTokens" => 128000, |
| 245 | "finetune" => false, |
| 246 | "tags" => ['core', 'realtime', 'functions'] |
| 247 | ], |
| 248 | /* |
| 249 | GPT-4 |
| 250 | An older high-intelligence GPT model |
| 251 | https://platform.openai.com/docs/models/gpt-4 |
| 252 | */ |
| 253 | [ |
| 254 | "model" => "gpt-4", |
| 255 | "name" => "GPT-4", |
| 256 | "family" => "gpt4", |
| 257 | "features" => ['completion'], |
| 258 | "price" => [ |
| 259 | "in" => 30.00, |
| 260 | "out" => 60.00, |
| 261 | ], |
| 262 | "type" => "token", |
| 263 | "unit" => 1 / 1000000, |
| 264 | "maxCompletionTokens" => 8192, |
| 265 | "maxContextualTokens" => 8192, |
| 266 | "finetune" => false, |
| 267 | "tags" => ['core', 'chat', 'functions'] |
| 268 | ], |
| 269 | /* |
| 270 | GPT-4 Turbo |
| 271 | An older high-intelligence GPT model |
| 272 | https://platform.openai.com/docs/models/gpt-4-turbo |
| 273 | */ |
| 274 | [ |
| 275 | "model" => "gpt-4-turbo", |
| 276 | "name" => "GPT-4 Turbo", |
| 277 | "family" => "gpt4", |
| 278 | "features" => ['completion'], |
| 279 | "price" => [ |
| 280 | "in" => 10.00, |
| 281 | "out" => 30.00, |
| 282 | ], |
| 283 | "type" => "token", |
| 284 | "unit" => 1 / 1000000, |
| 285 | "maxCompletionTokens" => 4096, |
| 286 | "maxContextualTokens" => 128000, |
| 287 | "finetune" => false, |
| 288 | "tags" => ['core', 'chat', 'vision', 'functions', 'json'] |
| 289 | ], |
| 290 | /* |
| 291 | GPT-3.5 Turbo |
| 292 | Legacy GPT model for cheaper chat and non-chat tasks |
| 293 | https://platform.openai.com/docs/models/gpt-3.5-turbo |
| 294 | */ |
| 295 | [ |
| 296 | "model" => "gpt-3.5-turbo", |
| 297 | "name" => "GPT-3.5 Turbo", |
| 298 | "family" => "turbo", |
| 299 | "features" => ['completion'], |
| 300 | "price" => [ |
| 301 | "in" => 0.50, |
| 302 | "out" => 1.50, |
| 303 | ], |
| 304 | "type" => "token", |
| 305 | "unit" => 1 / 1000000, |
| 306 | "maxCompletionTokens" => 4096, |
| 307 | "maxContextualTokens" => 16385, |
| 308 | "finetune" => [ |
| 309 | "in" => 3.00, |
| 310 | "out" => 6.00, |
| 311 | "train" => 8.00 |
| 312 | ], |
| 313 | "tags" => ['core', 'chat', '4k', 'finetune', 'functions'] |
| 314 | ], |
| 315 | /* |
| 316 | DALL·E 3 |
| 317 | Our latest image generation model |
| 318 | https://platform.openai.com/docs/models/dall-e-3 |
| 319 | */ |
| 320 | [ |
| 321 | "model" => "gpt-image-1", |
| 322 | "name" => "GPT Image 1 (High)", |
| 323 | "family" => "gpt-image", |
| 324 | "features" => ['text-to-image'], |
| 325 | "resolutions" => [ |
| 326 | [ |
| 327 | "name" => "1024x1024", |
| 328 | "label" => "1024x1024", |
| 329 | "price" => 0.167 |
| 330 | ], |
| 331 | [ |
| 332 | "name" => "1024x1536", |
| 333 | "label" => "1024x1536", |
| 334 | "price" => 0.25 |
| 335 | ], |
| 336 | [ |
| 337 | "name" => "1536x1024", |
| 338 | "label" => "1536x1024", |
| 339 | "price" => 0.25 |
| 340 | ] |
| 341 | ], |
| 342 | "type" => "image", |
| 343 | "unit" => 1, |
| 344 | "finetune" => false, |
| 345 | "tags" => ['core', 'image', 'image-edit', 'responses'] |
| 346 | ], |
| 347 | [ |
| 348 | "model" => "dall-e-3", |
| 349 | "name" => "DALL-E 3", |
| 350 | "family" => "dall-e", |
| 351 | "features" => ['text-to-image'], |
| 352 | "resolutions" => [ |
| 353 | [ |
| 354 | "name" => "1024x1024", |
| 355 | "label" => "1024x1024", |
| 356 | "price" => 0.040 |
| 357 | ], |
| 358 | [ |
| 359 | "name" => "1024x1792", |
| 360 | "label" => "1024x1792", |
| 361 | "price" => 0.080 |
| 362 | ], |
| 363 | [ |
| 364 | "name" => "1792x1024", |
| 365 | "label" => "1792x1024", |
| 366 | "price" => 0.080 |
| 367 | ] |
| 368 | ], |
| 369 | "type" => "image", |
| 370 | "unit" => 1, |
| 371 | "finetune" => false, |
| 372 | "tags" => ['core', 'image'] |
| 373 | ], |
| 374 | [ |
| 375 | "model" => "dall-e-3-hd", |
| 376 | "name" => "DALL-E 3 (HD)", |
| 377 | "family" => "dall-e", |
| 378 | "features" => ['text-to-image'], |
| 379 | "resolutions" => [ |
| 380 | [ |
| 381 | "name" => "1024x1024", |
| 382 | "label" => "1024x1024", |
| 383 | "price" => 0.080 |
| 384 | ], |
| 385 | [ |
| 386 | "name" => "1024x1792", |
| 387 | "label" => "1024x1792", |
| 388 | "price" => 0.120 |
| 389 | ], |
| 390 | [ |
| 391 | "name" => "1792x1024", |
| 392 | "label" => "1792x1024", |
| 393 | "price" => 0.120 |
| 394 | ] |
| 395 | ], |
| 396 | "type" => "image", |
| 397 | "unit" => 1, |
| 398 | "finetune" => false, |
| 399 | "tags" => ['core', 'image'] |
| 400 | ], |
| 401 | // Embedding models: |
| 402 | [ |
| 403 | "model" => "text-embedding-3-small", |
| 404 | "name" => "Embedding 3-Small", |
| 405 | "family" => "text-embedding", |
| 406 | "features" => ['embedding'], |
| 407 | "price" => 0.02, |
| 408 | "type" => "token", |
| 409 | "unit" => 1 / 1000000, |
| 410 | "finetune" => false, |
| 411 | "dimensions" => [ 512, 1536 ], |
| 412 | "tags" => ['core', 'embedding'], |
| 413 | ], |
| 414 | [ |
| 415 | "model" => "text-embedding-3-large", |
| 416 | "name" => "Embedding 3-Large", |
| 417 | "family" => "text-embedding", |
| 418 | "features" => ['embedding'], |
| 419 | "price" => 0.13, |
| 420 | "type" => "token", |
| 421 | "unit" => 1 / 1000000, |
| 422 | "finetune" => false, |
| 423 | "dimensions" => [ 256, 1024, 3072 ], |
| 424 | "tags" => ['core', 'embedding'], |
| 425 | ], |
| 426 | [ |
| 427 | "model" => "text-embedding-ada-002", |
| 428 | "name" => "Embedding Ada-002", |
| 429 | "family" => "text-embedding", |
| 430 | "features" => ['embedding'], |
| 431 | "price" => 0.10, |
| 432 | "type" => "token", |
| 433 | "unit" => 1 / 1000000, |
| 434 | "finetune" => false, |
| 435 | "dimensions" => [ 1536 ], |
| 436 | "tags" => ['core', 'embedding'], |
| 437 | ], |
| 438 | // Audio Models: |
| 439 | [ |
| 440 | "model" => "gpt-4o-transcribe", |
| 441 | "name" => "GPT-4o Transcribe", |
| 442 | "family" => "gpt-4o-transcribe", |
| 443 | "features" => ['speech-to-text'], |
| 444 | "price" => 0.006, |
| 445 | "type" => "second", |
| 446 | "unit" => 1, |
| 447 | "finetune" => false, |
| 448 | "tags" => ['core', 'audio'], |
| 449 | ], |
| 450 | [ |
| 451 | "model" => "gpt-4o-mini-transcribe", |
| 452 | "name" => "GPT-4o Mini Transcribe", |
| 453 | "family" => "gpt-4o-transcribe", |
| 454 | "features" => ['speech-to-text'], |
| 455 | "price" => 0.003, |
| 456 | "type" => "second", |
| 457 | "unit" => 1, |
| 458 | "finetune" => false, |
| 459 | "tags" => ['core', 'audio'], |
| 460 | ], |
| 461 | [ |
| 462 | "model" => "whisper-1", |
| 463 | "name" => "Whisper", |
| 464 | "family" => "whisper", |
| 465 | "features" => ['speech-to-text'], |
| 466 | "price" => 0.006, |
| 467 | "type" => "second", |
| 468 | "unit" => 1, |
| 469 | "finetune" => false, |
| 470 | "tags" => ['core', 'audio'], |
| 471 | ], |
| 472 | /* |
| 473 | Depecated Models |
| 474 | */ |
| 475 | [ |
| 476 | "model" => "gpt-4.5-preview", |
| 477 | "name" => "GPT-4.5 (Preview)", |
| 478 | "family" => "gpt4.5", |
| 479 | "features" => ['completion'], |
| 480 | "price" => [ |
| 481 | "in" => 75.00, |
| 482 | "out" => 150.00, |
| 483 | ], |
| 484 | "type" => "token", |
| 485 | "unit" => 1 / 1000000, |
| 486 | "maxCompletionTokens" => 16384, |
| 487 | "maxContextualTokens" => 128000, |
| 488 | "finetune" => false, |
| 489 | "tags" => ['core', 'chat', 'vision', 'functions', 'json', 'deprecated'] |
| 490 | ], |
| 491 | [ |
| 492 | "model" => "dall-e", |
| 493 | "name" => "DALL-E 2", |
| 494 | "family" => "dall-e", |
| 495 | "features" => ['text-to-image'], |
| 496 | "resolutions" => [ |
| 497 | [ |
| 498 | "name" => "256x256", |
| 499 | "label" => "256x256", |
| 500 | "price" => 0.016 |
| 501 | ], |
| 502 | [ |
| 503 | "name" => "512x512", |
| 504 | "label" => "512x512", |
| 505 | "price" => 0.018 |
| 506 | ], |
| 507 | [ |
| 508 | "name" => "1024x1024", |
| 509 | "label" => "1024x1024", |
| 510 | "price" => 0.020 |
| 511 | ] |
| 512 | ], |
| 513 | "type" => "image", |
| 514 | "unit" => 1, |
| 515 | "finetune" => false, |
| 516 | "tags" => ['core', 'image', 'deprecated'] |
| 517 | ], |
| 518 | // [ |
| 519 | // "model" => "gpt-3.5-turbo-16k", |
| 520 | // "description" => "Offers 4 times the context length of gpt-3.5-turbo at twice the price.", |
| 521 | // "name" => "GPT-3.5 Turbo 16k", |
| 522 | // "family" => "turbo", |
| 523 | // "features" => ['completion'], |
| 524 | // "price" => [ |
| 525 | // "in" => 30.00, |
| 526 | // "out" => 40.0, |
| 527 | // ], |
| 528 | // "type" => "token", |
| 529 | // "unit" => 1 / 1000000, |
| 530 | // "maxTokens" => 16385, |
| 531 | // "finetune" => false, |
| 532 | // "tags" => ['core', 'chat', '16k'] |
| 533 | // ], |
| 534 | // [ |
| 535 | // "model" => "gpt-3.5-turbo-instruct", |
| 536 | // "name" => "GPT-3.5 Turbo Instruct", |
| 537 | // "family" => "turbo-instruct", |
| 538 | // "features" => ['completion'], |
| 539 | // "price" => [ |
| 540 | // "in" => 0.50, |
| 541 | // "out" => 2.00, |
| 542 | // ], |
| 543 | // "type" => "token", |
| 544 | // "unit" => 1 / 1000000, |
| 545 | // "finetune" => [ |
| 546 | // "in" => 0.03, |
| 547 | // "out" => 0.06, |
| 548 | // ], |
| 549 | // "maxTokens" => 4096, |
| 550 | // "tags" => ['core', 'chat', '4k'] |
| 551 | // ], |
| 552 | ]); |
| 553 | |
| 554 | define ( 'MWAI_ANTHROPIC_MODELS', [ |
| 555 | [ |
| 556 | "model" => "claude-opus-4-20250514", |
| 557 | "name" => "Claude-4 Opus (2025/05/14)", |
| 558 | "family" => "claude", |
| 559 | "features" => ['completion'], |
| 560 | "price" => [ |
| 561 | "in" => 15.00, |
| 562 | "out" => 75.00, |
| 563 | ], |
| 564 | "type" => "token", |
| 565 | "unit" => 1 / 1000000, |
| 566 | "maxCompletionTokens" => 32000, |
| 567 | "maxContextualTokens" => 200000, |
| 568 | "finetune" => false, |
| 569 | "tags" => ['core', 'chat', 'vision', 'functions', 'reasoning', 'mcp'] |
| 570 | ], |
| 571 | [ |
| 572 | "model" => "claude-sonnet-4-20250514", |
| 573 | "name" => "Claude-4 Sonnet (2025/05/14)", |
| 574 | "family" => "claude", |
| 575 | "features" => ['completion'], |
| 576 | "price" => [ |
| 577 | "in" => 3.00, |
| 578 | "out" => 15.00, |
| 579 | ], |
| 580 | "type" => "token", |
| 581 | "unit" => 1 / 1000000, |
| 582 | "maxCompletionTokens" => 64000, |
| 583 | "maxContextualTokens" => 200000, |
| 584 | "finetune" => false, |
| 585 | "tags" => ['core', 'chat', 'vision', 'functions', 'reasoning', 'mcp'] |
| 586 | ], |
| 587 | [ |
| 588 | "model" => "claude-3-7-sonnet-latest", |
| 589 | "name" => "Claude-3.7 Sonnet", |
| 590 | "family" => "claude", |
| 591 | "features" => ['completion'], |
| 592 | "price" => [ |
| 593 | "in" => 3.00, |
| 594 | "out" => 15.00, |
| 595 | ], |
| 596 | "type" => "token", |
| 597 | "unit" => 1 / 1000000, |
| 598 | "maxCompletionTokens" => 64000, |
| 599 | "maxContextualTokens" => 200000, |
| 600 | "finetune" => false, |
| 601 | "tags" => ['core', 'chat', 'vision', 'functions', 'reasoning', 'mcp'] |
| 602 | ], |
| 603 | [ |
| 604 | "model" => "claude-3-5-sonnet-latest", |
| 605 | "name" => "Claude-3.5 Sonnet", |
| 606 | "family" => "claude", |
| 607 | "features" => ['completion'], |
| 608 | "price" => [ |
| 609 | "in" => 3.00, |
| 610 | "out" => 15.00, |
| 611 | ], |
| 612 | "type" => "token", |
| 613 | "unit" => 1 / 1000000, |
| 614 | "maxCompletionTokens" => 4096, |
| 615 | "maxContextualTokens" => 200000, |
| 616 | "finetune" => false, |
| 617 | "tags" => ['core', 'chat', 'vision', 'functions', 'mcp'] |
| 618 | ], |
| 619 | [ |
| 620 | "model" => "claude-3-5-sonnet-20241022", |
| 621 | "name" => "Claude-3.5 Sonnet (2024/10/22)", |
| 622 | "family" => "claude", |
| 623 | "features" => ['completion'], |
| 624 | "price" => [ |
| 625 | "in" => 3.00, |
| 626 | "out" => 15.00, |
| 627 | ], |
| 628 | "type" => "token", |
| 629 | "unit" => 1 / 1000000, |
| 630 | "maxCompletionTokens" => 4096, |
| 631 | "maxContextualTokens" => 200000, |
| 632 | "finetune" => false, |
| 633 | "tags" => ['core', 'chat', 'vision', 'files', 'functions', 'mcp'] |
| 634 | ], |
| 635 | [ |
| 636 | "model" => "claude-3-5-sonnet-20240620", |
| 637 | "name" => "Claude-3.5 Sonnet (2024/06/20)", |
| 638 | "family" => "claude", |
| 639 | "features" => ['completion'], |
| 640 | "price" => [ |
| 641 | "in" => 3.00, |
| 642 | "out" => 15.00, |
| 643 | ], |
| 644 | "type" => "token", |
| 645 | "unit" => 1 / 1000000, |
| 646 | "maxCompletionTokens" => 4096, |
| 647 | "maxContextualTokens" => 200000, |
| 648 | "finetune" => false, |
| 649 | "tags" => ['core', 'chat', 'vision', 'functions', 'mcp'] |
| 650 | ], |
| 651 | [ |
| 652 | "model" => "claude-3-sonnet-20240229", |
| 653 | "name" => "Claude-3 Sonnet (2024/02/29)", |
| 654 | "family" => "claude", |
| 655 | "features" => ['completion'], |
| 656 | "price" => [ |
| 657 | "in" => 3.00, |
| 658 | "out" => 15.00, |
| 659 | ], |
| 660 | "type" => "token", |
| 661 | "unit" => 1 / 1000000, |
| 662 | "maxCompletionTokens" => 4096, |
| 663 | "maxContextualTokens" => 200000, |
| 664 | "finetune" => false, |
| 665 | "tags" => ['core', 'chat', 'vision', 'functions', 'deprecated'] |
| 666 | ], |
| 667 | [ |
| 668 | "model" => "claude-3-opus-latest", |
| 669 | "name" => "Claude-3 Opus (Latest)", |
| 670 | "family" => "claude", |
| 671 | "features" => ['completion'], |
| 672 | "price" => [ |
| 673 | "in" => 15.00, |
| 674 | "out" => 75.00, |
| 675 | ], |
| 676 | "type" => "token", |
| 677 | "unit" => 1 / 1000000, |
| 678 | "maxCompletionTokens" => 4096, |
| 679 | "maxContextualTokens" => 200000, |
| 680 | "finetune" => false, |
| 681 | "tags" => ['core', 'chat', 'vision', 'functions'] |
| 682 | ], |
| 683 | [ |
| 684 | "model" => "claude-3-opus-20240229", |
| 685 | "name" => "Claude-3 Opus (2024/02/29)", |
| 686 | "family" => "claude", |
| 687 | "features" => ['completion'], |
| 688 | "price" => [ |
| 689 | "in" => 15.00, |
| 690 | "out" => 75.00, |
| 691 | ], |
| 692 | "type" => "token", |
| 693 | "unit" => 1 / 1000000, |
| 694 | "maxCompletionTokens" => 4096, |
| 695 | "maxContextualTokens" => 200000, |
| 696 | "finetune" => false, |
| 697 | "tags" => ['core', 'chat', 'vision', 'functions'] |
| 698 | ], |
| 699 | [ |
| 700 | "model" => "claude-3-5-haiku-20241022", |
| 701 | "name" => "Claude-3.5 Haiku (2024/10/22)", |
| 702 | "family" => "claude", |
| 703 | "features" => ['completion'], |
| 704 | "price" => [ |
| 705 | "in" => 1.00, |
| 706 | "out" => 5.00, |
| 707 | ], |
| 708 | "type" => "token", |
| 709 | "unit" => 1 / 1000000, |
| 710 | "maxCompletionTokens" => 8192, |
| 711 | "maxContextualTokens" => 200000, |
| 712 | "finetune" => false, |
| 713 | "tags" => ['core', 'chat'] |
| 714 | ], |
| 715 | [ |
| 716 | "model" => "claude-3-haiku-20240307", |
| 717 | "name" => "Claude-3 Haiku (2024/03/07)", |
| 718 | "family" => "claude", |
| 719 | "features" => ['completion'], |
| 720 | "price" => [ |
| 721 | "in" => 0.25, |
| 722 | "out" => 1.25, |
| 723 | ], |
| 724 | "type" => "token", |
| 725 | "unit" => 1 / 1000000, |
| 726 | "maxCompletionTokens" => 4096, |
| 727 | "maxContextualTokens" => 200000, |
| 728 | "finetune" => false, |
| 729 | "tags" => ['core', 'chat', 'vision', 'functions'] |
| 730 | ] |
| 731 | ]); |
| 732 | |
| 733 | define('MWAI_PERPLEXITY_MODELS', [ |
| 734 | [ |
| 735 | "model" => "sonar-pro", |
| 736 | "name" => "Sonar Pro", |
| 737 | "family" => "sonar", |
| 738 | "features" => ['completion'], |
| 739 | "price" => [ |
| 740 | "in" => 3.00, |
| 741 | "out" => 15.00, |
| 742 | "search" => 5.00, |
| 743 | ], |
| 744 | "type" => "token", |
| 745 | "unit" => 1 / 1000000, |
| 746 | "searchUnit" => 1 / 1000, |
| 747 | "maxCompletionTokens" => 8192, |
| 748 | "maxContextualTokens" => 200000, |
| 749 | "finetune" => false, |
| 750 | "tags" => ['core', 'chat'], |
| 751 | ], |
| 752 | [ |
| 753 | "model" => "sonar", |
| 754 | "name" => "Sonar", |
| 755 | "family" => "sonar", |
| 756 | "features" => ['completion'], |
| 757 | "price" => [ |
| 758 | "in" => 1.00, |
| 759 | "out" => 1.00, |
| 760 | "search" => 5.00, |
| 761 | ], |
| 762 | "type" => "token", |
| 763 | "unit" => 1 / 1000000, |
| 764 | "searchUnit" => 1 / 1000, |
| 765 | "maxCompletionTokens" => 4096, |
| 766 | "maxContextualTokens" => 127000, |
| 767 | "finetune" => false, |
| 768 | "tags" => ['core', 'chat'], |
| 769 | ], |
| 770 | ]); |