Comparison of Models: Quality, Performance & Price Analysis
Comparison and analysis of AI models across key performance metrics including quality, price, output speed, latency, context window & others. Click on any model to see detailed metrics. For more details including relating to our methodology, see our FAQs.
Model Comparison Summary
o1-previewĀ andĀ o1-miniĀ are the highest quality models, followed by 
Claude 3.5 Sonnet (Oct) & 
Gemini 1.5 Pro (Sep).Output Speed (tokens/s):
Llama 3.2 1B (554 t/s)Ā andĀ Gemini 1.5 Flash (May) (311 t/s)Ā are the fastest models, followed by Gemini 1.5 Flash-8B & 
Ministral 3B.Latency (seconds):
Aya Expanse 32B (0.22s)Ā and Ā Aya Expanse 8B (0.26s)Ā are the lowest latency models, followed by Llama 3.2 11B (Vision) & Gemini 1.5 Flash (May).Price ($ per M tokens): Ministral 3B ($0.04)Ā andĀ Llama 3.2 1B ($0.05)Ā are the cheapest models, followed by 
OpenChat 3.5 & Gemini 1.5 Flash-8B.Context Window: Gemini 1.5 Pro (Sep) (2m)Ā andĀ Gemini 1.5 Pro (May) (2m)Ā are the largest context window models, followed by Gemini 1.5 Flash-8B & Gemini 1.5 Flash (Sep).Highlights
Sonar 3.1 Large
Phi-3 Medium Instruct 14B
Solar Pro
DBRX Instruct
Llama 3.1 Nemotron Instruct 70B
Reka Flash (Sep '24)
Jamba 1.5 Large
DeepSeek-Coder-V2
Qwen2.5 Instruct 72B
Yi-Large
Models compared: OpenAI: GPT 4o Audio, GPT 4o Realtime, GPT 4o Speech Pipeline, GPT-3.5 Turbo, GPT-3.5 Turbo (0125), GPT-3.5 Turbo (1106), GPT-3.5 Turbo Instruct, GPT-4, GPT-4 Turbo, GPT-4 Turbo (0125), GPT-4 Vision, GPT-4o (Aug '24), GPT-4o (May '24), GPT-4o (Nov '24), GPT-4o mini, o1-mini, and o1-preview, Meta: Code Llama 70B, Llama 2 Chat 13B, Llama 2 Chat 70B, Llama 2 Chat 7B, Llama 3 70B, Llama 3 8B, Llama 3.1 405B, Llama 3.1 70B, Llama 3.1 8B, Llama 3.2 11B (Vision), Llama 3.2 1B, Llama 3.2 3B, and Llama 3.2 90B (Vision), Google: Gemini 1.0 Pro, Gemini 1.5 Flash (May), Gemini 1.5 Flash (Sep), Gemini 1.5 Flash-8B, Gemini 1.5 Pro (May), Gemini 1.5 Pro (Sep), Gemini Experimental (Nov), Gemma 2 27B, Gemma 2 9B, and Gemma 7B, Anthropic: Claude 2.0, Claude 2.1, Claude 3 Haiku, Claude 3 Opus, Claude 3 Sonnet, Claude 3.5 Haiku, Claude 3.5 Sonnet (June), Claude 3.5 Sonnet (Oct), and Claude Instant, Mistral: Codestral, Codestral-Mamba, Ministral 3B, Ministral 8B, Mistral 7B, Mistral Large (Feb '24), Mistral Large 2 (Jul '24), Mistral Large (Nov '24), Mistral Medium, Mistral NeMo, Mistral Small (Feb '24), Mistral Small (Sep '24), Mixtral 8x22B, Mixtral 8x7B, Pixtral 12B, and Pixtral Large, Cohere: Aya Expanse 32B, Aya Expanse 8B, Command, Command Light, Command-R, Command-R (Mar '24), Command-R+ (Apr '24), and Command-R+, Perplexity: PPLX-70B Online, PPLX-7B-Online, Sonar 3.1 Large, Sonar 3.1 Small , Sonar Large, and Sonar Small, xAI: Grok Beta and Grok-1, OpenChat: OpenChat 3.5, Microsoft Azure: Phi-3 Medium 14B and Phi-3 Mini, Upstage: Solar Mini and Solar Pro, Databricks: DBRX, NVIDIA: Llama 3.1 Nemotron 70B, : Olympus Lite, Olympus Micro, and Olympus Pro, IBM: Granite 3.0 2B, OpenVoice: Granite 3.0 8B, Reka AI: Reka Core, Reka Edge, Reka Flash (Feb '24), and Reka Flash, Other: LLaVA-v1.5-7B, AI21 Labs: Jamba 1.5 Large, Jamba 1.5 Mini, and Jamba Instruct, DeepSeek: DeepSeek-Coder-V2, DeepSeek-V2, and DeepSeek-V2.5, Snowflake: Arctic, Alibaba: Qwen2 72B, Qwen2.5 Coder 32B, and Qwen2.5 72B, and 01.AI: Yi-Large.