DataLearner 标志

Gemini 3.0 FlashvsHaiku 4.5

在 12 个共同 benchmark 中,Gemini 3.0 Flash 整体领先:Gemini 3.0 Flash 领先 11 项,Haiku 4.5 领先 1 项,持平 0 项,平均分差 +22.66。

Google Deep Mind
Gemini 3.0 Flash

Google Deep Mind · 2025-12-17 · 聊天大模型

Anthropic
Haiku 4.5

Anthropic · 2025-10-15 · 多模态大模型

Gemini 3.0 Flash11 (92%)(8%)1 Haiku 4.5

评测分数

按能力类目分组,每组内按分差大小排列;共 12 项。

General Knowledge

Gemini 3.0 Flash 领先 4/4
评测项Gemini 3.0 FlashHaiku 4.5分差
HLE43.5047 / 1724.30170 / 172Normal (No Tools)+39.20
ARC-AGI-233.6030 / 621.3055 / 62Normal (No Tools)+32.30
GPQA Diamond90.4019 / 18760.50144 / 187Normal (No Tools)+29.90
LiveBench56.3579 / 115Normal (No Tools)45.33103 / 115Normal (No Tools)+11.02

Claw-style Agent Evaluation

胶着 2/2
评测项Gemini 3.0 FlashHaiku 4.5分差
Claw Bench85.7015 / 29Thinking (With Tools)89.4011 / 29Thinking (With Tools)-3.70
Pinch Bench85.2016 / 37Thinking (With Tools)8221 / 37Thinking (With Tools)+3.20

Coding and Software Engineer

Gemini 3.0 Flash 领先 2/2
评测项Gemini 3.0 FlashHaiku 4.5分差
SWE-Bench Pro - Public49.6042 / 54Thinking High (With Tools)39.4551 / 54Extended (with tools)+10.15
SWE-bench Verified68.7066 / 11260.6080 / 112Normal (With Tools)+8.10

Math and Reasoning

Gemini 3.0 Flash 领先 2/2
评测项Gemini 3.0 FlashHaiku 4.5分差
AIME202599.708 / 1073995 / 107Normal (No Tools)+60.70
FrontierMath - Tier 44.2040 / 80Normal (No Tools)2.1056 / 80Thinking (No Tools, 32K Budget)+2.10

Agent Level Benchmark

Gemini 3.0 Flash 领先 1/1
评测项Gemini 3.0 FlashHaiku 4.5分差
τ²-Bench90.203 / 433342 / 43Normal (With Tools)+57.20

AI Agent - Tool Usage

Gemini 3.0 Flash 领先 1/1
评测项Gemini 3.0 FlashHaiku 4.5分差
MCP-Atlas6220 / 27Normal (With Tools)40.2027 / 27Normal (With Tools)+21.80

规格对比

字段Gemini 3.0 FlashHaiku 4.5
发布机构Google Deep MindAnthropic
发布时间2025-12-172025-10-15
模型类型聊天大模型多模态大模型
架构稠密模型稠密模型
参数规模暂无数据暂无数据
上下文长度2000K200K
最大输出64K64K

API 调用价格

价格优先使用 DataLearner 配置的 API 记录;缺失项不做推测。

价格项Gemini 3.0 FlashHaiku 4.5
文本输入$0.5 / 1M tokens$1 / 1M tokens
文本输出$3 / 1M tokens$5 / 1M tokens
缓存读取暂无公开价格$0.1 / 1M tokens
缓存写入暂无公开价格$1.25 / 1M tokens

小结

  • Gemini 3.0 Flash在以下类目领先:General Knowledge (4/4)、Coding and Software Engineer (2/2)、Math and Reasoning (2/2)、Agent Level Benchmark (1/1)、AI Agent - Tool Usage (1/1)
  • 胶着类目:Claw-style Agent Evaluation

12 个共同 benchmark 上,Gemini 3.0 Flash 平均高出 22.66 分。

单项差距最大的 benchmark:AIME2025 — Gemini 3.0 Flash 99.70,Haiku 4.5 39(分差 +60.70)。

本页正文由结构化模型、价格与 benchmark 数据生成,不使用实时 LLM 撰写。