Black Forest Labs
FLUX.2 Pro
Black Forest Labs’ flagship image model — SOTA photorealism, typography and multi-reference composition.
智商指数
93.8 #5
AAQI 94.0
输出速度
30 t/s
ITL 33.3 ms/tok
混合价格 (3:1)
$0.08 /1M
输入 $0.08/M · 输出 $0.08/M
上下文
128K
≈ 320 页 A4 · 最大输出 4,096
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
FLUX.2 Pro
Claude Mythos Preview (#1)
Average (68)
缺少直接基准测量时,雷达图各轴由类别得分近似得出 — 详见 评分方法。
优势与取舍
优势所在
- #1 image-arena tier — SOTA photorealism
- Sharpest text rendering in the image category
- Multi-reference consistent composition
- Production API with predictable per-image pricing
需要注意的权衡
- Image-only — no text reasoning or chat
- Premium per-image price vs. dev/klein tiers
- Closed weights — no self-hosting
杀手级用例
Production ad creative
Typography-accurate campaign assets at scale.
Product photography
Reference-consistent catalog shots.
UI & brand mockups
Screens and layouts with real, legible text.
开发者快速上手与 API
请先设置
BFL_API_KEY — 获取 API 密钥curl -X POST "https://api.bfl.ml/v1/flux-2-pro" \
-H "x-key: $BFL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Isometric render of a neon data center, sharp typography",
"width": 1024,
"height": 1024
}'import os, requests
resp = requests.post(
"https://api.bfl.ml/v1/flux-2-pro",
headers={"x-key": os.environ["BFL_API_KEY"]},
json={
"prompt": "Isometric render of a neon data center, sharp typography",
"width": 1024,
"height": 1024,
},
)
print(resp.json()["polling_url"]) # poll until status == "Ready"const res = await fetch("https://api.bfl.ml/v1/flux-2-pro", {
method: "POST",
headers: { "x-key": process.env.BFL_API_KEY, "Content-Type": "application/json" },
body: JSON.stringify({
prompt: "Isometric render of a neon data center, sharp typography",
width: 1024,
height: 1024,
}),
});
console.log((await res.json()).polling_url); // poll until status === "Ready"Async image API — the response returns a polling_url; poll it until status is Ready.
官方资源与链接
API 部署
对比托管商与延迟
Groq、Cerebras、Together、DeepInfra、Fireworks、Bedrock 与 Azure 的吞吐量、TTFT 和缓存定价。
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
各榜单得分
分类能力得分
基准测试分项
实时对决
实时规格与架构
底层解析
FLUX.2 Pro — 32B rectified-flow image transformer
- Top FLUX.2 serving tier — maximum prompt fidelity
- Best-in-class typography and small-text rendering
- Multi-reference composition for consistent characters/products
- Output up to 4K with hex-color and material controls
发布日期
2026年10月14日
架构
FLUX.2 Pro — 32B rectified-flow image transformer
参数量
32B
开源协议
Proprietary
上下文窗口
128,000 tokens
最大输出
4,096 tokens
模态
text + image
缓存价格
读 $0.02 · 写 $0.08 /1M
推理
—
输入价格
$0.08/M
输出价格
$0.08/M
输出速度
30 t/s
首Token延迟
—
数据更新
2026年10月22日
每月账单预估
每月预估支出
$0.00
正在计算相对 GPT-4o 的节省额…
引用与嵌入
GitHub Markdown 徽章
Loading badge markdown...BibTeX
@misc{llmpodium2026flux2pro,
title = {Benchmark Analysis and Intelligence Evaluation of FLUX.2 Pro},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/flux-2-pro}
}嵌入评分徽章
将实时 Podium 评分徽章添加到 GitHub 或 Hugging Face README —— 链接回实时排名。
预览
Markdown
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