ChatGPT vs Claude vs Gemini vs Copilot：四大AI工具全面横评

In the first half of 2025, the four leading AI chat assistants — ChatGPT, Claude, Gemini, and Copilot — collectively handled an estimated 18.7 billion user queries, according to a February 2025 Similarweb analysis of web traffic and API call volumes across the top four platforms. Yet a May 2025 survey by the AI benchmarking nonprofit LMArena found that no single model wins all seven core capability categories: code generation, long-context reasoning, multilingual accuracy, creative writing, math problem-solving, document analysis, and real-time web search. ChatGPT (GPT-4o) leads in general knowledge breadth and web search integration, scoring 92.3/100 on the MMLU-Pro benchmark; Claude 3.5 Sonnet tops creative writing and instruction-following with a 94.1/100 on the MT-Bench v2.1; Gemini 1.5 Pro dominates long-context tasks, processing up to 1 million tokens per query; and Copilot (based on GPT-4 Turbo) wins on integrated productivity workflows, with 73% of Microsoft 365 users in a March 2025 internal study reporting faster task completion. This head-to-head evaluation uses fixed pricing tiers, identical test prompts, and real-time benchmarks from LMArena (May 2025) and Stanford CRFM’s HELM v3.0 (April 2025) to give you a number-backed comparison. You will see exactly where each tool excels, where it falls short, and which one fits your specific use case — without hype or filler.

ChatGPT (GPT-4o): Best for General Knowledge, Web Search, and Plugin Ecosystem

ChatGPT remains the most widely used assistant, with an estimated 1.2 billion monthly visits as of May 2025 (Similarweb). Its strength lies in breadth: GPT-4o scores 92.3 on MMLU-Pro across 57 academic subjects, the highest among the four. You get real-time Bing search integration, DALL-E 3 image generation, and a plugin marketplace with over 3,000 third-party tools (OpenAI Plugin Store, April 2025).

Benchmark Performance

On the HELM v3.0 core suite (Stanford CRFM, April 2025), GPT-4o achieves 89.7% accuracy on the legal reasoning benchmark (LegalBench) and 91.2% on medical Q&A (MedQA). It processes 128K tokens per session, sufficient for most long documents. The model’s latency averages 2.3 seconds per response on standard prompts — second-fastest behind Gemini.

Pricing and Limitations

ChatGPT Plus costs $20/month (as of June 2025) for GPT-4o access, with a free tier on GPT-3.5. The main drawback: GPT-4o’s creative writing scores are lower than Claude’s (88.6 vs 94.1 on MT-Bench v2.1), and its long-context retrieval accuracy drops by 12% after 80K tokens (LMArena May 2025). For cross-border research or international payment workflows, some users pair ChatGPT with secure access tools like NordVPN to ensure stable API connections across regions.

Best Use Cases

• General research and fact-checking
• Web search integration for live data
• Plugin-heavy workflows (coding, design, data analysis)

Claude 3.5 Sonnet: Best for Creative Writing, Instruction Following, and Safety

Anthropic’s Claude 3.5 Sonnet leads the four models in instruction adherence and creative output quality. On the MT-Bench v2.1 multi-turn evaluation, Claude scored 94.1/100, surpassing GPT-4o by 5.5 points. In the LMArena May 2025 creative writing sub-benchmark, Claude ranked first in narrative coherence (96.2) and style consistency (95.8).

Safety and Context Handling

Claude’s constitutional AI approach reduces harmful outputs by 43% compared to GPT-4o in adversarial testing (Anthropic Safety Report, March 2025). It supports 200K tokens natively, with a 100K-token recall accuracy of 98.1% — the highest of any model at that length. However, Claude lacks native web search and image generation; you must use third-party integrations.

Pricing and Availability

Claude Pro costs $20/month (June 2025), identical to ChatGPT Plus. The free tier offers Claude 3 Haiku with a 100-message daily cap. The key limitation: Claude’s coding benchmark scores (78.3% on HumanEval) trail GPT-4o (86.1%) and Gemini (82.4%).

Best Use Cases

• Long-form creative writing and editing
• Complex instruction-following tasks
• Safety-sensitive applications (education, healthcare)

Gemini 1.5 Pro: Best for Long-Context Tasks, Multimodal Analysis, and Speed

Google’s Gemini 1.5 Pro redefines context window size with a 1-million-token capacity — enough to process the entire Lord of the Rings trilogy in a single prompt. On the LMArena long-context QA benchmark (May 2025), Gemini achieved 94.7% accuracy on 500K-token passages, versus GPT-4o’s 82.1%.

Multimodal and Speed Metrics

Gemini processes video, audio, images, and text natively. In the HELM v3.0 multimodal reasoning test, it scored 91.5%, beating GPT-4o (88.3%) and Claude (no native multimodal). Latency is the fastest at 1.8 seconds per response. Gemini Advanced costs $19.99/month via Google One AI Premium.

Limitations

Creative writing scores lag behind Claude (85.3 vs 94.1 on MT-Bench v2.1). Web search integration is Google-native only, and plugin support is limited to Google Workspace extensions.

Best Use Cases

• Analyzing entire books, codebases, or legal contracts
• Video and audio transcription with reasoning
• Fast, real-time responses for iterative tasks

Microsoft Copilot: Best for Office Integration, Productivity, and Enterprise Workflows

Copilot integrates directly into Microsoft 365 apps — Word, Excel, PowerPoint, Teams, Outlook — with a productivity uplift of 73% reported in Microsoft’s March 2025 internal study (n=2,400 employees). It runs on GPT-4 Turbo, fine-tuned for Office tasks.

Enterprise Benchmarks

On the HELM v3.0 spreadsheet reasoning test (Excel formula generation), Copilot scored 94.2%, 12 points higher than GPT-4o alone. For email summarization (Outlook), it achieved 91.8% accuracy in a 500-email batch test (Microsoft internal, April 2025). Copilot Pro costs $20/month for individuals; enterprise plans start at $30/user/month.

Limitations

Outside Microsoft environments, Copilot’s general knowledge scores drop to 87.1 on MMLU-Pro — the lowest of the four. It lacks long-context support (128K tokens) and creative writing benchmarks (88.2 on MT-Bench v2.1). No standalone mobile app exists beyond the Bing chat interface.

Best Use Cases

• Daily Office productivity (documents, spreadsheets, presentations)
• Enterprise compliance and data governance
• Team collaboration with Microsoft Teams

Head-to-Head Benchmark Comparison

You need a single table to decide. Below are the four models across seven key benchmarks, all sourced from LMArena (May 2025) and Stanford CRFM HELM v3.0 (April 2025).

Benchmark	ChatGPT (GPT-4o)	Claude 3.5 Sonnet	Gemini 1.5 Pro	Copilot (GPT-4 Turbo)
MMLU-Pro (general knowledge)	92.3	89.1	90.8	87.1
MT-Bench v2.1 (creative writing)	88.6	94.1	85.3	88.2
Long-context QA (500K tokens)	82.1%	89.3%	94.7%	76.5%
HumanEval (code generation)	86.1%	78.3%	82.4%	84.0%
Multimodal reasoning (HELM)	88.3%	N/A	91.5%	86.1%
Response latency (avg seconds)	2.3s	2.7s	1.8s	2.5s
Monthly cost (pro tier)	$20	$20	$19.99	$20

Key Takeaways

• General knowledge: ChatGPT wins by 3.2 points over Gemini.
• Creative writing: Claude leads by 5.5 points over ChatGPT.
• Long-context: Gemini dominates, 12.6 points ahead of Copilot.
• Code generation: ChatGPT edges Copilot by 2.1 points.
• Multimodal: Gemini leads, Copilot trails by 5.4 points.
• Speed: Gemini is 0.5 seconds faster than ChatGPT.
• Price: All four pro tiers are within $0.01 of each other.

Selecting the Right AI Assistant for Your Workflow

Your choice depends on your primary task type, not brand loyalty. Here is a decision framework based on the data above.

For General Research and Web Search

Pick ChatGPT. Its MMLU-Pro score (92.3) and Bing search integration give you the broadest factual coverage. The plugin ecosystem adds 3,000+ tools for niche needs. Avoid Copilot here — its 87.1 MMLU-Pro score is 5.2 points lower.

For Creative Writing and Content Creation

Pick Claude. The 94.1 MT-Bench v2.1 score is not just a number — it translates to fewer rewrites and better narrative flow. If you need images, pair Claude with a separate generation tool. Gemini’s 85.3 score means you will spend more time editing.

For Document Analysis and Legal/Medical Review

Pick Gemini. The 94.7% long-context accuracy at 500K tokens is unmatched. For a 200-page contract, Gemini processes it in one pass; ChatGPT requires chunking and loses context. Claude is a strong second choice at 89.3%.

For Office Productivity and Enterprise Teams

Pick Copilot. The 73% productivity uplift (Microsoft internal, March 2025) is validated by HELM v3.0 spreadsheet reasoning scores (94.2%). If your team lives in Word and Excel, Copilot saves 2-3 hours per week per employee, per the same study.

For Coding and Development

Pick ChatGPT (86.1% HumanEval) or Gemini (82.4%). ChatGPT’s plugin ecosystem adds GitHub Copilot integration. Claude’s 78.3% HumanEval score makes it the weakest for pure code generation.

FAQ

Q1: Which AI assistant has the best free tier in 2025?

ChatGPT’s free tier offers GPT-3.5 with unlimited messages and GPT-4o access limited to 15 messages every 3 hours. Claude’s free tier gives you Claude 3 Haiku with 100 messages per day. Gemini’s free tier includes Gemini 1.5 Flash with 60 queries per hour. Copilot’s free tier is limited to 30 Bing chat responses per session. For daily use, ChatGPT’s free tier offers the most flexibility with 120+ messages per day on average.

Q2: Can these AI assistants access the internet in real time?

ChatGPT and Copilot have native web search (Bing) for real-time data. Gemini searches Google’s index but requires manual activation. Claude has no built-in web search as of June 2025 — you must use a browser plugin or API integration. For live news, stock prices, or weather, ChatGPT and Copilot are the only two with automatic real-time access.

Q3: Which AI assistant is best for handling very long documents (over 100 pages)?

Gemini 1.5 Pro supports 1 million tokens, equivalent to roughly 750,000 words or 1,500 pages. Claude 3.5 Sonnet handles 200K tokens (150 pages). ChatGPT and Copilot are limited to 128K tokens (96 pages). For a 500-page legal contract, only Gemini can process it in a single prompt without chunking.

References

• LMArena (May 2025). Multi-Model Benchmark Suite v4.2: Core Capabilities and Sub-Benchmarks.
• Stanford Center for Research on Foundation Models (CRFM) (April 2025). HELM v3.0: Holistic Evaluation of Language Models.
• Similarweb (February 2025). AI Chat Platform Traffic Analysis: January 2025.
• Microsoft Corporation (March 2025). Copilot for Microsoft 365: Employee Productivity Internal Study.
• Anthropic (March 2025). Constitutional AI Safety and Harm Reduction Report.