Google

Gemini 3.8 Flash (Medium Reasoning)

Balanced reasoning effort variant of Gemini 3.8 Flash for agentic workflows.

#248发布于 2026年9月1日·Proprietary·Not disclosed
textimageaudiovideo1M ctx推理effort: medium
智商指数
65.2 #248
前 32% 梯队
输出速度
315 t/s
TTFT 160 ms · ITL 3.2 ms/tok
混合价格 (3:1)
$1.5 /1M
输入 $0.75/M · 输出 $3.75/M
上下文
1M
≈ 2,500 页 A4 · 最大输出 65,536

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Gemini 3.8 Flash (Medium Reasoning)
Claude Mythos Preview (#1)
Average (68)
Coding (54)Mathematics (70.2)Hard Science (GPQA) (56)Agentic & Tool Use (69.2)Knowledge (MMLU) (58)Vision / Multimodal (62)

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

  • 1M context — swallows whole repos, codebases or corpora in one pass
  • Up to 65,536 output tokens per response
  • 302 tok/s output — fast enough for real-time agents
  • Sub-200ms time-to-first-token

需要注意的权衡

  • Architecture and weights undisclosed — API access only

杀手级用例

SWE-bench agents
Issue-to-PR resolution across multi-file repos — refactor, test and verify autonomously.
Math & proof work
Step-verified reasoning for olympiad math, theorem proving and formal verification.
Real-time agents
Low-latency loops for voice, gaming and interactive copilots.

开发者快速上手与 API

请先设置 GEMINI_API_KEY — 获取 API 密钥
curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-3-8-flash-medium:generateContent" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "contents": [{"parts": [{"text": "Refactor this function for O(n) time and explain the change."}]}]
  }'

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
查看提供商矩阵 →

各榜单得分

实时规格与架构

底层解析
  • Switchable reasoning effort — trading latency and tokens for accuracy on hard problems.
  • Prompt caching supported — cached input reads at $0.075/1M tokens.
  • Native multimodality: text, image, audio, video in a single model.
发布日期
2026年9月1日
参数量
Not disclosed
开源协议
Proprietary
上下文窗口
1,000,000 tokens
最大输出
65,536 tokens
模态
text + image + audio + video
缓存价格
读 $0.075 · 写 $0.9375 /1M
推理
思考力度档位
输入价格
$0.75/M
输出价格
$3.75/M
输出速度
315 t/s
首Token延迟
160 ms
数据更新
2026年9月2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{llmpodium2026gemini38flashmedium,
  title = {Benchmark Analysis and Intelligence Evaluation of Gemini 3.8 Flash (Medium Reasoning)},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/gemini-3-8-flash-medium}
}

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
Gemini 3.8 Flash (Medium Reasoning) LLMPodium Score
Markdown
Loading badge snippet...
HTML
Loading badge snippet...

更多 Google 模型

替代模型推荐

基于能力、定价和基准测试得分与 Gemini 3.8 Flash (Medium Reasoning) 最接近的替代模型。

0 / 4