所有对比

GPT-4o vs Claude 3.5 Sonnet· 2026-07-18

## GPT-4o vs Claude 3.5 Sonnet — Comparison Both models are flagship LLMs released in mid-2024. GPT-4o has stronger multimodal and audio capabilities, while Claude 3.5 Sonnet is slightly better at coding tasks. ### Key Specifications | Specification | GPT-4o | Claude 3.5 Sonnet | |---------------|--------|--------------------| | Vendor | OpenAI | Anthropic | | Release Date | 2024-05-13 | 2024-06-20 | | Context Window | 128,000 tokens | 200,000 tokens | | Input Modalities | text, image, audio | text, image | | Output Modalities | text, audio | text | ### Performance | Benchmark | GPT-4o | Claude 3.5 Sonnet | Winner | |-----------|--------|--------------------|--------| | MMLU (%) | 88.7 | 88.7 | Tie | | HumanEval (pass@1) | 90.2 | 92.0 | Claude wins | | GSM8K (%) | 95.8 | 96.4 | Claude wins | | MATH (%) | 76.6 | 71.1 | GPT-4o wins | | BBH (%) | 83.1 | 84.5 | Claude wins | ### Pricing GPT-4o: $2.50/$10 per Mtok (input/output). Claude: $3.00/$15 per Mtok. GPT-4o is ~30% cheaper overall on base pricing, while Claude 3.5 Sonnet offers substantially cheaper cache reads ($0.30 vs $1.25). ### Strengths and Weaknesses **GPT-4o Strengths:** - Native multimodal including audio input/output (unique among the two) - Lower base pricing on input and output tokens - HIPAA compliance for healthcare workloads - Lower latency, suitable for real-time voice **GPT-4o Weaknesses:** - Smaller context window (128K vs 200K) - Trails Claude on HumanEval and BBH **Claude 3.5 Sonnet Strengths:** - Industry-leading HumanEval (92.0 pass@1) - Larger 200K context window - Cheaper prompt cache reads ($0.30 vs $1.25) - Strong tool-use and agentic reliability **Claude 3.5 Sonnet Weaknesses:** - No audio modality support - Higher base input/output pricing - No HIPAA compliance ### Verdict Choose Claude for coding and academic Q&A; choose GPT-4o for multimodal and general conversation.

GPT-4o vs Gemini 1.5 Pro· 2026-07-18

## GPT-4o vs Claude 3.5 Sonnet — Comparison Both models are flagship LLMs released in mid-2024. GPT-4o has stronger multimodal and audio capabilities, while Claude 3.5 Sonnet is slightly better at coding tasks. ### Key Specifications | Specification | GPT-4o | Claude 3.5 Sonnet | |---------------|--------|--------------------| | Vendor | OpenAI | Anthropic | | Release Date | 2024-05-13 | 2024-06-20 | | Context Window | 128,000 tokens | 200,000 tokens | | Input Modalities | text, image, audio | text, image | | Output Modalities | text, audio | text | ### Performance | Benchmark | GPT-4o | Claude 3.5 Sonnet | Winner | |-----------|--------|--------------------|--------| | MMLU (%) | 88.7 | 88.7 | Tie | | HumanEval (pass@1) | 90.2 | 92.0 | Claude wins | | GSM8K (%) | 95.8 | 96.4 | Claude wins | | MATH (%) | 76.6 | 71.1 | GPT-4o wins | | BBH (%) | 83.1 | 84.5 | Claude wins | ### Pricing GPT-4o: $2.50/$10 per Mtok (input/output). Claude: $3.00/$15 per Mtok. GPT-4o is ~30% cheaper overall on base pricing, while Claude 3.5 Sonnet offers substantially cheaper cache reads ($0.30 vs $1.25). ### Strengths and Weaknesses **GPT-4o Strengths:** - Native multimodal including audio input/output (unique among the two) - Lower base pricing on input and output tokens - HIPAA compliance for healthcare workloads - Lower latency, suitable for real-time voice **GPT-4o Weaknesses:** - Smaller context window (128K vs 200K) - Trails Claude on HumanEval and BBH **Claude 3.5 Sonnet Strengths:** - Industry-leading HumanEval (92.0 pass@1) - Larger 200K context window - Cheaper prompt cache reads ($0.30 vs $1.25) - Strong tool-use and agentic reliability **Claude 3.5 Sonnet Weaknesses:** - No audio modality support - Higher base input/output pricing - No HIPAA compliance ### Verdict Choose Claude for coding and academic Q&A; choose GPT-4o for multimodal and general conversation.

Claude 3.5 Sonnet vs Llama 3.1 405B· 2026-07-18

## GPT-4o vs Claude 3.5 Sonnet — Comparison Both models are flagship LLMs released in mid-2024. GPT-4o has stronger multimodal and audio capabilities, while Claude 3.5 Sonnet is slightly better at coding tasks. ### Key Specifications | Specification | GPT-4o | Claude 3.5 Sonnet | |---------------|--------|--------------------| | Vendor | OpenAI | Anthropic | | Release Date | 2024-05-13 | 2024-06-20 | | Context Window | 128,000 tokens | 200,000 tokens | | Input Modalities | text, image, audio | text, image | | Output Modalities | text, audio | text | ### Performance | Benchmark | GPT-4o | Claude 3.5 Sonnet | Winner | |-----------|--------|--------------------|--------| | MMLU (%) | 88.7 | 88.7 | Tie | | HumanEval (pass@1) | 90.2 | 92.0 | Claude wins | | GSM8K (%) | 95.8 | 96.4 | Claude wins | | MATH (%) | 76.6 | 71.1 | GPT-4o wins | | BBH (%) | 83.1 | 84.5 | Claude wins | ### Pricing GPT-4o: $2.50/$10 per Mtok (input/output). Claude: $3.00/$15 per Mtok. GPT-4o is ~30% cheaper overall on base pricing, while Claude 3.5 Sonnet offers substantially cheaper cache reads ($0.30 vs $1.25). ### Strengths and Weaknesses **GPT-4o Strengths:** - Native multimodal including audio input/output (unique among the two) - Lower base pricing on input and output tokens - HIPAA compliance for healthcare workloads - Lower latency, suitable for real-time voice **GPT-4o Weaknesses:** - Smaller context window (128K vs 200K) - Trails Claude on HumanEval and BBH **Claude 3.5 Sonnet Strengths:** - Industry-leading HumanEval (92.0 pass@1) - Larger 200K context window - Cheaper prompt cache reads ($0.30 vs $1.25) - Strong tool-use and agentic reliability **Claude 3.5 Sonnet Weaknesses:** - No audio modality support - Higher base input/output pricing - No HIPAA compliance ### Verdict Choose Claude for coding and academic Q&A; choose GPT-4o for multimodal and general conversation.

DeepSeek V3 vs Mistral Large 2· 2024-12-26

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DeepSeek V3 vs Mixtral 8x22B· 2024-12-26

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o1 vs DeepSeek V3· 2024-12-17

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o1 vs Llama 3.1 405B· 2024-12-17

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o1 vs o1 mini· 2024-12-17

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Phi-4 vs Qwen2.5 14B· 2024-12-12

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Gemini 2.0 Flash vs Gemini 2.0 Flash Thinking· 2024-12-11

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Llama 3.3 70B vs Llama 3.1 70B· 2024-12-06

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Claude 3.5 Haiku vs Gemini 1.5 Flash· 2024-11-04

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Claude 3.5 Haiku vs Llama 3.1 8B· 2024-11-04

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NVIDIA Llama 3.1 Nemotron 70B vs Llama 3.1 70B· 2024-10-17

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Llama 3.2 11B Vision vs Gemma 2 9B· 2024-09-25

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Llama 3.2 90B Vision vs GPT-4o· 2024-09-25

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Qwen2.5 32B vs Mistral Small 3· 2024-09-19

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Qwen2.5 32B vs Qwen2.5 14B· 2024-09-19

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Qwen2.5 72B vs DeepSeek V3· 2024-09-19

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Qwen2.5 72B vs Mistral Large 2· 2024-09-19

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Qwen2.5 72B vs Mixtral 8x22B· 2024-09-19

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o1 Preview vs DeepSeek V3· 2024-09-12

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Grok-2 vs Claude 3 Opus· 2024-08-13

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Grok-2 vs DeepSeek V3· 2024-08-13

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Grok-2 vs Llama 3.1 405B· 2024-08-13

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GLM-4 Plus vs DeepSeek V3· 2024-08-12

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GLM-4 Plus vs Qwen2.5 72B· 2024-08-12

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Hermes 3 Llama 3.1 405B vs Llama 3.1 405B· 2024-08-12

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Jamba 1.5 Large vs Mistral Large 2· 2024-08-07

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Mistral Large 2 vs Mistral Large· 2024-07-24

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Llama 3.1 405B vs Command R+· 2024-07-23

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Llama 3.1 405B vs DeepSeek V3· 2024-07-23

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Llama 3.1 405B vs Mistral Large 2· 2024-07-23

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Llama 3.1 405B vs Mixtral 8x22B· 2024-07-23

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Llama 3.1 405B vs Qwen2.5 72B· 2024-07-23

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Llama 3.1 70B vs DeepSeek V2· 2024-07-23

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Llama 3.1 70B vs Mixtral 8x7B· 2024-07-23

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Llama 3.1 70B vs Qwen2.5 72B· 2024-07-23

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Llama 3.1 8B vs Mistral 7B v0.3· 2024-07-23

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Llama 3.1 8B vs Qwen2.5 7B· 2024-07-23

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GPT-4o mini vs Claude 3.5 Haiku· 2024-07-18

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GPT-4o mini vs Gemini 1.5 Flash· 2024-07-18

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GPT-4o mini vs Llama 3.1 8B· 2024-07-18

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GPT-4o mini vs Mistral 7B v0.3· 2024-07-18

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GPT-4o mini vs Qwen2.5 7B· 2024-07-18

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Gemma 2 27B vs Gemma 2 9B· 2024-06-27

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Gemma 2 9B vs Gemma 7B· 2024-06-27

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DeepSeek Coder V2 vs Codestral· 2024-06-21

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DeepSeek Coder V2 vs DeepSeek V3· 2024-06-21

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Claude 3.5 Sonnet vs Claude 3 Opus· 2024-06-20

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Claude 3.5 Sonnet vs DeepSeek V3· 2024-06-20

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Claude 3.5 Sonnet vs Gemini 1.5 Pro· 2024-06-20

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Claude 3.5 Sonnet vs Grok-2· 2024-06-20

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Claude 3.5 Sonnet vs Qwen2.5 72B· 2024-06-20

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Qwen2 72B vs Qwen2.5 72B· 2024-06-07

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GLM-4 9B Chat vs Qwen2.5 7B· 2024-06-05

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Phi-3 Medium vs Phi-3 Small· 2024-05-21

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Phi-3 Vision vs GPT-4o· 2024-05-21

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Gemini 1.5 Flash vs Llama 3.1 8B· 2024-05-14

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GPT-4o vs Claude 3 Opus· 2024-05-13

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GPT-4o vs Claude 3.5 Haiku· 2024-05-13

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GPT-4o vs DeepSeek V3· 2024-05-13

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GPT-4o vs Gemini 2.0 Flash· 2024-05-13

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GPT-4o vs GPT-4 Turbo· 2024-05-13

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GPT-4o vs GPT-4o (2024-08-06)· 2024-05-13

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GPT-4o vs GPT-4o mini· 2024-05-13

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GPT-4o vs Grok-2· 2024-05-13

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GPT-4o vs Llama 3.1 405B· 2024-05-13

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GPT-4o vs Mistral Large 2· 2024-05-13

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GPT-4o vs o1 Preview· 2024-05-13

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GPT-4o vs o1· 2024-05-13

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GPT-4o vs Qwen2.5 72B· 2024-05-13

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Yi Large vs Qwen2.5 72B· 2024-05-13

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Yi Large vs Yi 34B· 2024-05-13

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DeepSeek V2 vs DeepSeek V3· 2024-05-07

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Llama 3 70B vs Llama 3 8B· 2024-04-18

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Mixtral 8x22B vs Mistral Large 2· 2024-04-10

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DBRX Instruct vs Mixtral 8x22B· 2024-03-27

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Command R vs Command R+· 2024-03-11

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Claude 3 Haiku vs Claude 3 Sonnet· 2024-03-07

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Claude 3 Opus vs Claude 3 Sonnet· 2024-03-04

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StarCoder2 15B vs Code Llama 34B· 2024-02-28

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Mistral Large vs Mistral Medium· 2024-02-26

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Qwen1.5 72B vs Qwen2 72B· 2024-02-25

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Gemini 1.5 Pro vs Claude 3 Opus· 2024-02-15

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Gemini 1.5 Pro vs DeepSeek V3· 2024-02-15

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Gemini 1.5 Pro vs Gemini 1.5 Flash· 2024-02-15

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Gemini 1.5 Pro vs Gemini 2.0 Flash· 2024-02-15

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Gemini 1.5 Pro vs Llama 3.1 405B· 2024-02-15

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Gemini 1.5 Pro vs Qwen2.5 72B· 2024-02-15

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Code Llama 70B vs Codestral· 2024-01-29

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DeepSeek Coder 33B vs Code Llama 34B· 2024-01-25

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Mixtral 8x7B vs Mixtral 8x22B· 2023-12-11

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Gemini 1.0 Pro vs Gemini 1.0 Ultra· 2023-12-06

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Claude 2.1 vs Claude 2· 2023-11-21

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Yi 34B vs Yi 6B· 2023-11-05

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Falcon 180B vs Llama 2 70B· 2023-09-06

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Llama 2 70B vs Llama 3 70B· 2023-07-18

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GPT-4 vs GPT-4 Turbo· 2023-03-14

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GPT-3.5 Turbo vs GPT-4· 2023-03-01

See Editor's Take section.