Choose a model to open its comparison page.
GPT-3.5 Turbo 16k API pricing covers 32 API providers, from $0.616/M to $12.00/M.
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
Input and output token limits for this model, plus how it ranks on long-context understanding.
Compare GPT-3.5 Turbo 16k API pricing across 32 providers. Prices range from $0.616/M to $12.00/M. Zhongzhuan Chat offers the lowest rate at $0.616/M.
| Провайдер | Работоспособность | Вариант модели | Группа | Входные данные ($/M) | Выходные данные ($/M) | Скорость (т/с) | Первый токен | Аудит |
|---|---|---|---|---|---|---|---|---|
L1 100% | gpt-3.5-turbo-16k | 官转 | $1.23/M | $2.47/M | — | — | — | |
L1 100% | gpt-3.5-turbo-16k | 官转 | $1.15/M | $2.29/M | — | — | — | |
L1 100% | gpt-3.5-turbo-16k | 官转 | $1.15/M | $2.29/M | — | — | — | |
L1 100% | gpt-3.5-turbo-16k | 官转 | $0.986/M | $1.97/M | — | — | — | |
L1 100% | gpt-3.5-turbo-16k | openai纯官-5 | $8.40/M | $11.20/M | — | — | — | |
L1 100% | gpt-3.5-turbo-16k | 官转 | $0.616/M | $1.23/M | — | — | — |
gpt-5-4
OpenAI GPT-5.4 extends the GPT-5 family with stronger instruction following, deeper tool use, and improved performance on coding, math, and long-document analysis.
gpt-5-3-codex
OpenAI GPT-5.3 Codex is a code-specialized variant in the GPT-5 series, optimized for code generation, debugging, and software development tasks.
gpt-5-2
OpenAI GPT-5.2 is a GPT-5 series model emphasizing advanced reasoning, multimodal understanding, and high-quality outputs for complex enterprise workloads.
gpt-5-4-mini
OpenAI GPT-5.4 Mini is a compact language model in the GPT-5 series, optimized for quick responses and high throughput.
claude-opus-4-6
Anthropic Claude Opus 4.6 is the most capable Claude Opus tier, optimized for complex analysis, long-horizon coding, and high-stakes enterprise reasoning workloads.
claude-sonnet-4-6
Anthropic Claude Sonnet 4.6 extends the Sonnet line with improved tool use, coding reliability, and long-context performance for everyday production workloads.