Claude vs ChatGPT vs Gemini：2026 最新版横向实测，谁更适合你？

Data as of October 22, 2026. Prices are vendor list prices and may vary by region. 数据截至 2026 年 10 月 22 日，价格为厂商公布价，可能因地区而异。

I stopped reading launch blogs a long time ago. Benchmarks matter, but so does how a model behaves when you hand it your actual messy repository, your 500-page PDF, and your monthly budget. In October 2026 I ran the three big ones — Anthropic Claude, OpenAI ChatGPT, and Google Gemini — through the same gauntlet: real coding tasks, reasoning puzzles, long-context stress tests, API pricing math, and subscription value. Here is the no-hype, tech-nerd edition of the comparison.

我早就不看发布会通稿了。跑分重要，但更重要的，是当你把真实的一坨代码仓库、一份 500 页的 PDF、还有你每月的预算甩给模型时，它到底表现如何。2026 年 10 月，我把三家巨头——Anthropic Claude、OpenAI ChatGPT、Google Gemini——拉进同一套测试流程：真实编程任务、推理题、长上下文压力测试、API 价格账、订阅性价比。下面是去掉营销话术的技术宅版横评。

Figure 1 · The 2026 lineup, squared off. / 图 1 · 封面：2026 年三大旗舰同场对决

1. The 2026 Lineup / 选手阵容

Here is who showed up. Anthropic brings Claude Opus 5.5 (flagship, 1M-token context, 128K output, $4/$20 per million tokens), Claude Sonnet 5.5 (the workhorse, released September 28, $2/$10), and the Haiku line for cheap, fast calls (roughly $1/$5). OpenAI ships GPT-6 Astra, its new-generation model that went GA on October 20, 2026 with a 1.05M-token context and $10/$50 API pricing, alongside GPT-5.5 ($5/$30, 1M context) and GPT-5.5 Pro ($30/$180). Google counters with Gemini 4 Argon, GA since October 13, 2026 at an intro price of $2/$10, plus the broadly available Gemini 3.8 Flash at $0.75/$3.75 (intro pricing through December 31, 2026).

先看选手名单。Anthropic 带来 Claude Opus 5.5（旗舰，100 万 token 上下文，12.8 万输出，每百万 token 输入/输出 $4/$20）、Claude Sonnet 5.5（9 月 28 日发布的主力型号，$2/$10），以及面向廉价高速调用的 Haiku 系列（约 $1/$5）。OpenAI 拿出新一代模型 GPT-6 Astra，2026 年 10 月 20 日正式可用，1.05M 上下文、API 定价 $10/$50；同时还有 GPT-5.5（$5/$30，1M 上下文）与 GPT-5.5 Pro（$30/$180）。Google 则以 2026 年 10 月 13 日全面上线的 Gemini 4 Argon 应战，首发价 $2/$10，另有覆盖面极广的 Gemini 3.8 Flash（2026 年 12 月 31 日前首发价 $0.75/$3.75）。

Table 1 · The 2026 lineup at a glance / 表 1 · 2026 选手阵容一览

2. Test Setup / 测试方法

Same prompts, same repo, same clock. Every model ran the same gauntlet: (1) a real-world refactor of a 6,000-line TypeScript service with a failing integration test; (2) a hard reasoning-and-math pack; (3) QA over a 500-page technical PDF; (4) multimodal image-plus-video understanding; and (5) an agentic “fix the CI and ship it” session. All through official apps and APIs, in October 2026, from a normal dev machine. No cherry-picking, no vendor demo tasks.

同一套题、同一个仓库、同一块表。每个模型都要过五关：(1) 对一份 6000 行 TypeScript 服务做真实重构，还带一个挂掉的集成测试；(2) 一组硬核推理/数学题；(3) 一份 500 页技术 PDF 的问答；(4) 图像+视频多模态理解；(5) 一次“修好 CI 并上线”的 Agent 实战。全部走官方 App 和 API，2026 年 10 月，普通开发机。不挑题、不跑厂商演示任务。

3. Round 1 · Coding & Agents / 编程与 Agent

On the leaderboards, Claude still rules repo-level coding: Claude Opus 5.5 tops SWE-bench Pro at 89.9% (data verified October 20, 2026), and BenchLM’s October coding composite puts Claude Sonnet 5.5 first at 84.3. OpenAI’s GPT-6 Astra scores 58.2% on Terminal-Bench when driven through Codex — strong for an agent harness, though Anthropic’s flagship was not entered on that board. In my own refactor test, Claude Code and Codex both got the job done: Claude’s first-pass diff was cleaner, while Astra via Codex needed fewer retries on long multi-step runs. Gemini 4 Argon in Antigravity handled the CI-debugging loop well but was noticeably slower on long-horizon tasks. For everyday coding speed-to-quality, Sonnet 5.5 remains the best value; for autonomous agent work, Claude Code and Codex are the two you actually want.

在榜单上，Claude 依然统治仓库级编程：Claude Opus 5.5 以 89.9% 登顶 SWE-bench Pro（2026 年 10 月 20 日核验），BenchLM 10 月编程综合榜上 Claude Sonnet 5.5 以 84.3 居首。OpenAI 的 GPT-6 Astra 在 Codex 驱动下拿到 Terminal-Bench 的 58.2%——对 Agent 工程来说很强，但该榜单没有收录 Anthropic 旗舰。在我的重构实测里，Claude Code 和 Codex 都完成了任务：Claude 第一版 diff 更干净；Astra（经 Codex）在长链路多步任务上重试更少。Gemini 4 Argon 在 Antigravity 里处理 CI 排障表现不错，但长周期任务明显更慢。日常编程“速度换质量”的性价比之王仍是 Sonnet 5.5；要做自主 Agent，真正值得上手的还是 Claude Code 和 Codex。

Figure 2 · Three models, one repo. / 图 2 · 编程实测：一个仓库，三家模型

4. Round 2 · Reasoning / 推理与数学

This round was close — frontier models are now within a few points of each other. GPT-6 Astra in high-effort mode handled the math pack with the fewest wrong steps and the clearest explanations. Claude Opus 5.5’s adaptive reasoning (always on) was the most consistent on mixed puzzles: fast when simple, deep when needed. Gemini 4 Argon is explicitly tuned for “deep work” in finance, legal, and science — on a multi-step probability-plus-coding hybrid problem it matched Astra. My rule of thumb: if the problem needs relentless multi-step verification, Astra and Opus 5.5 are interchangeable at the top; Gemini 4 Argon is the dark horse for domain-heavy reasoning.

这一轮相当接近——旗舰之间的差距已经缩小到几个点以内。GPT-6 Astra 在高强度推理模式下做数学题出错最少、讲解最清楚。Claude Opus 5.5 的自适应推理（常开）在多类型混合题上最稳定：简单题秒回，难题自动加深。Gemini 4 Argon 明显为金融、法律、科学等“深度工作”调优——在一道多步概率+编程混合题上追平了 Astra。我的经验法则：需要反复多步验证的难题，Astra 和 Opus 5.5 在顶端基本平手；领域知识密集型推理，Gemini 4 Argon 是黑马。

Figure 3 · Benchmark arena: reasoning under the spotlight. / 图 3 · 跑分竞技场：聚光灯下的推理

5. Round 3 · Long Context & Multimodal / 长上下文与多模态

All three now offer roughly 1M-token windows, but they behave differently. I dumped a 500-page PDF plus a monorepo slice into each. Claude kept the cleanest recall of details from the middle of the document, and OpenAI’s own long-context evals (Graphwalks) show Claude’s previous generation already beating GPT-5.5 on 1M-token “parents” recall (72.0% vs 58.5%). Gemini is the most natively multimodal: video, audio, and images in one prompt, and with Google AI Pro the same model shows up in Search AI Mode and Workspace. GPT-6 Astra’s 1.05M window is the biggest on paper, and its knowledge cutoff (April 30, 2026) is the freshest of the three. For “upload everything and lose nothing”, I would take Claude; for “feed it video and let it reason”, Gemini wins.

三家现在都提供约 1M token 的窗口，但实际表现差别不小。我把一份 500 页 PDF 加一段 monorepo 代码分别丢进去。Claude 对文档中段细节的召回最干净；OpenAI 自家公布的 Graphwalks 长上下文评测也显示，Claude 前代在 1M token “parents” 召回上就领先 GPT-5.5（72.0% 对 58.5%）。Gemini 的多模态最原生：视频+音频+图像一条 prompt 全吃，而且 Google AI Pro 订阅下同一模型还能用在搜索 AI 模式和 Workspace 里。GPT-6 Astra 的 1.05M 窗口纸面上最大，知识截止（2026 年 4 月 30 日）三家最新。结论：“全部丢进去、一个细节都不能丢”选 Claude；“喂视频让它推理”选 Gemini。

Figure 4 · Long context: everything in, nothing lost. / 图 4 · 长上下文：全量输入，点滴不丢

6. Round 4 · API Pricing / API 价格

If you are building products, the bill matters more than the leaderboard. Per 1M tokens (input/output): Claude Opus 5.5 is $4/$20 and Sonnet 5.5 is $2/$10; GPT-6 Astra is $10/$50, GPT-5.5 is $5/$30, GPT-5.5 Pro is $30/$180; Gemini 4 Argon is $2/$10 (intro, with a planned increase from December 2026), and Gemini 3.8 Flash is $0.75/$3.75 (intro through December 31, 2026). The headline: Gemini’s Flash line is brutally cheap right now — about half of Sonnet — while GPT-6 Astra costs about 2.5x Opus. If cost-per-task is the metric, Sonnet 5.5 and Gemini 3.8 Flash are the sweet spots of 2026.

做产品的，账单比榜单重要。每百万 token（输入/输出）：Claude Opus 5.5 为 $4/$20、Sonnet 5.5 为 $2/$10；GPT-6 Astra 为 $10/$50、GPT-5.5 为 $5/$30、GPT-5.5 Pro 为 $30/$180；Gemini 4 Argon 为 $2/$10（首发价，2026 年 12 月起计划上调），Gemini 3.8 Flash 为 $0.75/$3.75（2026 年 12 月 31 日前首发价）。看点：Gemini Flash 系列现在便宜得离谱——大约只有 Sonnet 的一半；而 GPT-6 Astra 大约要花 Opus 的 2.5 倍。如果按“每任务成本”算，2026 年的甜点位是 Sonnet 5.5 和 Gemini 3.8 Flash。

Table 2 · API pricing per 1M tokens (USD) / 表 2 · API 每百万 token 价格（美元）

7. Round 5 · Subscriptions & Ecosystem / 订阅与生态

App users should think ecosystems, not just models. ChatGPT: Go at $8, Plus at $20, Pro at $100–$500 — with GPT-6 Astra reaching Work, Codex, Azure, and AWS Bedrock for enterprise. Claude: Pro at $20, Max 5x/20x at $100/$200 including API credits — Claude Code is the strongest coding agent today. Google AI: Plus at $4.99, Pro at $19.99 (5TB storage, NotebookLM Plus, 4x Gemini usage), Ultra at $99.99–$219.99 — Gemini 4 Argon now lives inside Search AI Mode, Workspace, and GitHub Copilot. My take: best everyday value is Google AI Pro (storage + AI + search in one subscription); best coding subscription is Claude Max; best general assistant is ChatGPT Plus — or Go at $8 if you are budget-conscious.

App 用户要看生态，不能只看模型。ChatGPT：Go $8、Plus $20、Pro $100–500，企业侧 GPT-6 Astra 已进入 Work、Codex、Azure 与 AWS Bedrock。Claude：Pro $20，Max 5x/20x 为 $100/$200 且带 API 额度——Claude Code 目前是最强的编程 Agent。Google AI：Plus $4.99、Pro $19.99（含 5TB 存储、NotebookLM Plus、4 倍 Gemini 用量）、Ultra $99.99–219.99——Gemini 4 Argon 已进入搜索 AI 模式、Workspace 和 GitHub Copilot。我的结论：日常综合性价比最高是 Google AI Pro（存储+AI+搜索打包）；编程订阅选 Claude Max；通用助手选 ChatGPT Plus（预算紧张就上 Go，$8）。

Table 3 · Subscription plans compared / 表 3 · 订阅方案对比

8. Verdict / 结论：谁更适合你

Stop asking “which is best” and ask “which fits my week”. Here is the honest breakdown:

别再问“谁最强”，要问“谁最适合你的一周”。诚实的结论如下：

Table 4 · Who should pick what / 表 4 · 谁该选谁

Figure 5 · Verdict: three paths, one choice. / 图 5 · 结论：三条路，一个选择

The gap between the three is smaller than it has ever been — and bigger than ever where it actually matters: agents, pricing, and ecosystem lock-in. Test all three on your real workload for a week. The right answer is the one that ships your week.

三家之间的差距从来没这么小——而在真正要紧的地方（Agent 能力、价格、生态绑定）又从来没这么明显。用你的真实工作流各试一周，适合你的，就是能把你的一周交付掉的那一个。

9. Sources / 参考来源

[1] Claude Opus 5.5 — Model overview, Anthropic Platform

[2] Claude Plans & Pricing, Anthropic

[3] Introducing Claude Sonnet 5, Anthropic

[4] Introducing GPT-5.5, OpenAI

[5] GPT-6 Pro in ChatGPT (GPT-6 Astra availability), OpenAI Help Center

[6] Introducing ChatGPT Go, OpenAI

[7] Introducing Gemini 4 Argon, Google

[8] Using the latest Gemini models (Gemini 3.8 Flash), Google AI Studio

[9] Gemini Developer API pricing, Google

[10] SWE-bench Pro Leaderboard, BenchLM

[11] Best LLM for Coding (October 2026), BenchLM

[12] GPT-6 vs Claude Opus 5.5 vs Gemini 3.8 (Terminal-Bench), Second Talent

[13] Gemini 4 Argon pricing tracker, AIToolTier

[14] Google AI plans with Cloud Storage, Google One

[15] Google Developer Program plans & pricing (AI Pro)