AI 模型情报

GPT-5.1 Codex

openai/gpt-5-1-codex

出品方: OpenAI · 系列: gpt-codex · 发布 2025-11-13 · 知识截止: 2024-09-30

$1.25
输入 / 1M token
$10.00
输出 / 1M token
400K
上下文长度
128K
最大输出

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

能力清单

工具调用推理结构化输出附件开放权重温度可调
支持模态: 输入 text, image · 输出 text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding92
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)12/20
  • Provider availability10/10
Agents100
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability10/10
JSON / structured output70
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control0/10
  • Price-friendly for high-volume0/20
Cost efficiency41
  • Headline price (log-scaled)36/95
  • Has prompt-cache pricing5/5
Long context70
  • Context window (100K → 2M)60/90
  • Has published price for full window10/10
Vision94
  • Accepts image input50/50
  • Context window (10K → 1M)24/30
  • Has published price10/10
  • Provider availability10/10
Production-readiness96
  • Number of independent providers40/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers6/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$11.25
$0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$22.50
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$7.50
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$20.00
$0.02 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$21.00
$0.02 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

定价详情

推荐定价来自 openai · gpt-5.1-codex

$1.25
输入
$10.00
输出
$0.125
缓存读

最便宜的渠道: github-copilot · Unknown 输入 + Unknown 输出

在 19 家渠道可用

服务商服务商模型 ID输入 / 1M输出 / 1M上下文发布日期
OpenAI
openai
gpt-5.1-codex$1.25$10.00400K2025-11-13
GitHub Copilot
github-copilot
gpt-5.1-codexUnknownUnknown400K2025-11-13
Azure Cognitive Services
azure-cognitive-services
gpt-5.1-codex$1.25$10.00400K2025-11-14
Azure
azure
gpt-5.1-codex$1.25$10.00400K2025-11-14
OpenRouter
openrouter
openai/gpt-5.1-codex$1.25$10.00400K2025-11-13
Vercel AI Gateway
vercel
openai/gpt-5.1-codex$1.25$10.00400K2025-08-07
NanoGPT
nano-gpt
openai/gpt-5.1-codex$1.25$10.00400K2025-11-13
Abacus
abacus
gpt-5.1-codex$1.25$10.00400K2025-11-13
Jiekou.AI
jiekou
gpt-5.1-codex$1.13$9.00400K2026-01
ZenMux
zenmux
openai/gpt-5.1-codex$1.25$10.00400K2025-11-13
Vivgrid
vivgrid
gpt-5.1-codex$1.25$10.00400K2025-11-13
Kilo Gateway
kilo
openai/gpt-5.1-codex$1.25$10.00400K2025-11-13
Cloudflare AI Gateway
cloudflare-ai-gateway
openai/gpt-5.1-codex$1.25$10.00400K2025-11-13
OpenCode Zen
opencode
gpt-5.1-codex$1.07$8.50400K2025-11-13
Poe
poe
openai/gpt-5.1-codex$1.10$9.00400K2025-11-12
Helicone
helicone
gpt-5.1-codex$1.25$10.00400K2025-01-01
AIHubMix
aihubmix
gpt-5.1-codex$1.25$10.00400K2025-11-13
Requesty
requesty
openai/gpt-5.1-codex$1.25$10.00400K2025-11-13
LLM Gateway
llmgateway
gpt-5.1-codex$1.25$10.00400K2025-11-13

各渠道数据存在不一致

  • release_date varies (span 365d): 2025-01-01, 2025-08-07, 2025-11-12, 2025-11-13, 2025-11-14, 2026-01
  • modalities varies across offerings

各服务商对此模型的报告值存在差异。上方「核心数据」使用代表性服务商的值;逐项请以下表为准。

Frequently asked questions

How much does GPT-5.1 Codex cost?

GPT-5.1 Codex costs $1.25 per 1M input tokens and $10.00 per 1M output tokens, sourced from openai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of GPT-5.1 Codex?

GPT-5.1 Codex has a context window of 400K tokens, with a max output of 128K tokens per reply. This is the total combined size of prompt + completion.

Does GPT-5.1 Codex support tool calling?

Yes. GPT-5.1 Codex supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does GPT-5.1 Codex support structured output / JSON mode?

Yes. GPT-5.1 Codex supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can GPT-5.1 Codex accept image input?

Yes. GPT-5.1 Codex accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check OpenAI's docs for the exact rule.

Is GPT-5.1 Codex open-weight?

No. GPT-5.1 Codex is a proprietary model — only OpenAI (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to GPT-5.1 Codex?

If GPT-5.1 Codex doesn't fit, consider GPT OSS 120B, GPT OSS 20B, GPT-5.2. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More OpenAI models

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Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.