Скорость вывода
6480.2 tok/s
6579.3 tok/s
66GPT-5.3 Codex77.7 tok/s
6976.3 tok/s
GPT-5.3 Codex by OpenAI is available through 259 API providers on LMSpeed. Compare API pricing from $0.0005 to $17482.50 per million input tokens across providers. Free API access is offered by 1 provider. Context window: 400,000. In speed benchmarks, the fastest provider reaches 339 tok/s.
OpenAI GPT-5.3 Codex is a code-specialized variant in the GPT-5 series, optimized for code generation, debugging, and software development tasks.
Также известна как
Compare GPT-5.3 Codex API pricing across 258 providers. Input prices range from $0.0005 to $17482.50 per million input. XShuLab Sub2API offers the lowest rate at $0.0005/M. 1 provider offers free API credits or a free tier.
| Провайдер | Вариант модели | Аудит | Входные данные ($/M) | Выходные данные ($/M) | Скорость (т/с) | Первый токен |
|---|---|---|---|---|---|---|
VSLLM99.7% | gpt-5.3-codex-spark | — | $0.182-90% | $0.182-99% | 242.3 t/s+212% | 2.95 s-95% |
钠 API100% | gpt-5.3-codex(low) | — | $0.240-86% | $1.92-86% | 62.7 t/s | 3.79 s-93% |
| gpt-5.3-codex-spark | — | $0.082-95% | $0.658-95% | — | — | |
| gpt-5.3-codex | — | $0.240-86% | $1.92-86% | — | — | |
| gpt-5.3-codex(auto) | — | $0.240-86% | $1.92-86% | — | — | |
| gpt-5.3-codex(high) | — | $0.240-86% | $1.92-86% | — | — | |
| gpt-5.3-codex(medium) | — | $0.240-86% | $1.92-86% | — | — | |
| gpt-5.3-codex(xhigh) | — | $0.240-86% | $1.92-86% | — | — | |
| gpt-5.3-codex-openai-compact | — | $0.240-86% | $1.92-86% | — | — | |
QQ Code19.8% | gpt-5.3-codex | — | $0.288-84% | $2.30-84% | 57.0 t/s | 2.98 s-95% |
| gpt-5.3-codex-spark | — | $0.288-84% | $2.30-84% | — | — | |
UoCode99.9% | gpt-5.3-codex | — | $0.274-84% | $2.19-84% | 56.1 t/s | 4.62 s-92% |
Seamee API100% | gpt-5.3-codex | — | $1.75 | $14.00 | 53.2 t/s | 3.89 s-93% |
| GPT-5.3-CodeX | — | $75.00 | $75.00 | — | — | |
SwifllyLLM100% | gpt-5.3-codex | — | $0.240-86% | $1.92-86% | 48.4 t/s | 2.62 s-95% |
DuckCoding99.3% | gpt-5.3-codex | — | $1.75 | $14.00 | 21.1 t/s | 2.44 s-96% |
| gpt-5.3-codex | — | $0.100-94% | $0.800-94% | 21.1 t/s | 8.34 s-85% | |
柏拉图AI100% | gpt-5.3-codex | — | $0.240-86% | $1.92-86% | — | — |
| gpt-5.3-codex-high | — | $0.240-86% | $1.92-86% | — | — | |
| gpt-5.3-codex-low | — | $0.240-86% | $1.92-86% | — | — |
Данные о ценах из публичных API провайдеров
Сравните производительность по скорости и задержке у всех API-провайдеров.
| Провайдер | Скорость | Задержка | Тесты |
|---|---|---|---|
小水管 API gpt-5.3-codex-spark | 338.83 tok/s | 1.52s | 5 |
gpt-5.3-codex-spark | 268.75 tok/s | 2.39s | 5 |
gpt-5.3-codex-spark | 252.12 tok/s | 2.20s | 14 |
gpt-5.3-codex-spark | 242.31 tok/s | 2.95s | 5 |
gpt-5.3-codex-spark | 88.93 tok/s | 12.86s | 5 |
gpt-5.3-codex | 64.15 tok/s | 2.75s | 5 |
gpt-5.3-codex(low) | 62.69 tok/s | 3.79s | 5 |
gpt-5.3-codex | 61.35 tok/s | 3.50s | 5 |
gpt-5.3-codex | 56.97 tok/s | 2.98s | 10 |
gpt-5.3-codex | 56.05 tok/s | 4.62s | 25 |
gpt-5.3-codex | 54.78 tok/s | 1.05s | 5 |
gpt-5.3-codex | 53.21 tok/s | 3.89s | 5 |
李/gpt-5.3-codex | 52.33 tok/s | 1.54s | 10 |
gpt-5.3-codex | 51.26 tok/s | 0.92s | 5 |
gpt-5.3-codex | 48.42 tok/s | 2.62s | 5 |
gpt-5.3-codex | 47.55 tok/s | 3.21s | 5 |
gpt-5.3-codex | 46.27 tok/s | 2.58s | 5 |
gpt-5.3-codex | 45.96 tok/s | 2.04s | 5 |
gpt-5.3-codex | 45.72 tok/s | 4.38s | 5 |
gpt-5.3-codex | 43.58 tok/s | 3.19s | 5 |
Показано 1–20 из 28 провайдеров
gpt-5-4
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gpt-5-2
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gpt-5-4-mini
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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.
claude-haiku-4-5
Anthropic Claude Haiku 4.5 delivers fast, low-cost responses while retaining solid instruction following for chat, classification, and lightweight coding.
Рейтинги основаны на тестах, предоставленных сообществом, и периодических зондах работоспособности. Носит рекомендательный характер, не является официальными данными.Artificial Analysis
