Ai model comparison
Comparison of Leading AI Models (2024)
| Model | Developer | Key Features | Strengths | Weaknesses |
|---|---|---|---|---|
| ChatGPT (GPT-4) | OpenAI | - Most widely used conversational AI - Strong in creativity & coding - Supports plugins & multimodal (GPT-4V) |
✅ Best all-around performance ✅ Large ecosystem (APIs, tools) ✅ Strong reasoning & instruction-following |
❌ Closed-source ❌ Expensive API ❌ Censorship concerns |
| DeepSeek-V3 | DeepSeek | - Strong in math & coding - 128K context window - Free & open-weight (earlier versions) |
✅ Excellent for technical tasks ✅ Long-context retention ✅ Competitive with GPT-4 |
❌ Less polished than GPT-4 ❌ Smaller ecosystem |
| Gemini 1.5 | Google DeepMind | - Multimodal (text, images, audio) - 1M token context - Strong integration with Google services |
✅ Best multimodal capabilities ✅ Massive context handling ✅ Strong factual accuracy |
❌ Sometimes overly cautious ❌ Less creative than GPT-4 ❌ API access limited |
| Claude 3 (Opus/Sonnet) | Anthropic | - Focus on safety & alignment - 200K+ context - Less prone to harmful outputs |
✅ Best for safety-sensitive tasks ✅ Strong long-context reasoning ✅ Less biased than others |
❌ Less creative in writing ❌ Weaker in coding than GPT-4 ❌ Limited API availability |
| Llama 3 (Meta) | Meta (Facebook) | - Open-weight models (8B-70B params) - Optimized for efficiency - Strong for research & customization |
✅ Free & open-source ✅ Good balance of performance/size ✅ Easy to fine-tune |
❌ Weaker than GPT-4/Claude ❌ No native multimodal support ❌ Requires self-hosting |
| Qwen (Alibaba) | Alibaba Cloud | - Strong Chinese/English bilingual support - Open-source (Qwen-72B) - Optimized for cloud deployment |
✅ Best for Chinese-language tasks ✅ Open-weight & commercially usable ✅ Good coding ability |
❌ Less polished than Western models ❌ Smaller community ❌ Limited long-context support |
Key Differences
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Open vs. Closed Source
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Open: Llama 3, Qwen, DeepSeek (partially)
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Closed: GPT-4, Gemini, Claude
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Specializations
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Coding: GPT-4 > DeepSeek ≈ Claude > Gemini
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Multilingual: Qwen (Chinese) > Gemini > GPT-4
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Creativity: GPT-4 > Claude ≈ Gemini
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Safety/Alignment: Claude > GPT-4 > Gemini
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Context Length
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Gemini 1.5 (1M tokens) > Claude 3 (200K) > DeepSeek (128K) > GPT-4 (32K)
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Pricing
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Free Tier: DeepSeek, Llama 3 (self-hosted), Qwen
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Paid API: GPT-4 (~0.06/1Ktokens)>Claude( 0.04) > Gemini (~$0.03)
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Which One Should You Use?
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Best Overall: GPT-4 (balance of performance & features)
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Best Free Option: DeepSeek-V3 (near GPT-4 level, long context)
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Best for Safety: Claude 3 (least harmful outputs)
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Best for Research: Llama 3 (open, customizable)
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Best for Chinese: Qwen (Alibaba’s bilingual model)
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Best Multimodal: Gemini 1.5 (text + images + audio)
Future Trends
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Open vs. Closed: Meta & DeepSeek pushing open models vs. OpenAI/Google keeping top models proprietary.
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Multimodality: Gemini leads, but GPT-4V and others are catching up.
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Efficiency: Smaller models (e.g., Llama 3-8B) rivaling larger ones via better training.
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