LLM Comparisons: Difference between revisions
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Compare different [[large language models]] ([[LLM]]s) | {{see also|LLM Benchmarks Timeline|LLM Rankings}} | ||
Compare different [[large language models]] ([[LLM]]s). | |||
{| class="wikitable sortable" | {| class="wikitable sortable" | ||
! Model | ! Model | ||
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| '''[[Jamba Instruct]]''' || [[AI21 Labs]] || 256k || || $0.55 || 77.4 || 0.52 | | '''[[Jamba Instruct]]''' || [[AI21 Labs]] || 256k || || $0.55 || 77.4 || 0.52 | ||
|} | |} | ||
<ref name="”1”">LLM Leaderboard - Comparison of GPT-4o, Llama 3, Mistral, Gemini and over 30 models https://artificialanalysis.ai/leaderboards/models</ref> | |||
==Terms== | ==Terms== | ||
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*'''Input Price''': Price per token included in the request/message sent to the API, represented as USD per million Tokens. | *'''Input Price''': Price per token included in the request/message sent to the API, represented as USD per million Tokens. | ||
*'''Time period''': Metrics are 'live' and are based on the past 14 days of measurements, measurements are taken 8 times a day for single requests and 2 times per day for parallel requests. | *'''Time period''': Metrics are 'live' and are based on the past 14 days of measurements, measurements are taken 8 times a day for single requests and 2 times per day for parallel requests. | ||
<ref name="”1”">LLM Leaderboard - Comparison of GPT-4o, Llama 3, Mistral, Gemini and over 30 models https://artificialanalysis.ai/leaderboards/models</ref> | |||
==References== | ==References== | ||
<references /> | |||
[[Category:Important]] [[Category:Rankings]] [[Category:Aggregate pages]] |
Latest revision as of 21:03, 13 January 2025
- See also: LLM Benchmarks Timeline and LLM Rankings
Compare different large language models (LLMs).
Model | Creator | Context Window | Quality Index (Normalized avg) |
Blended (USD/1M Tokens) |
Median (Tokens/s) |
Median (First Chunk (s)) |
---|---|---|---|---|---|---|
o1-preview | OpenAI | 128k | 86 | $27.56 | 143.7 | 21.33 |
o1-mini | OpenAI | 128k | 84 | $5.25 | 213.2 | 11.27 |
GPT-4o (Aug '24) | OpenAI | 128k | 78 | $4.38 | 83.5 | 0.67 |
GPT-4o (May '24) | OpenAI | 128k | 78 | $7.50 | 106.3 | 0.65 |
GPT-4o mini | OpenAI | 128k | 73 | $0.26 | 113.8 | 0.64 |
GPT-4o (Nov '24) | OpenAI | 128k | 73 | $4.38 | 116.4 | 0.39 |
GPT-4o mini Realtime (Dec '24) | OpenAI | 128k | $0.00 | |||
GPT-4o Realtime (Dec '24) | OpenAI | 128k | $0.00 | |||
Llama 3.3 70B | Meta | 128k | 74 | $0.69 | 71.8 | 0.49 |
Llama 3.1 405B | Meta | 128k | 74 | $3.50 | 30.2 | 0.71 |
Llama 3.1 70B | Meta | 128k | 68 | $0.72 | 72.8 | 0.44 |
Llama 3.2 90B (Vision) | Meta | 128k | 68 | $0.81 | 48.9 | 0.33 |
Llama 3.2 11B (Vision) | Meta | 128k | 54 | $0.18 | 131.2 | 0.28 |
Llama 3.1 8B | Meta | 128k | 54 | $0.10 | 184.9 | 0.33 |
Llama 3.2 3B | Meta | 128k | 49 | $0.06 | 201.4 | 0.38 |
Llama 3.2 1B | Meta | 128k | 26 | $0.04 | 468.6 | 0.37 |
Gemini 2.0 Flash (exp) | 1m | 82 | $0.00 | 169.0 | 0.48 | |
Gemini 1.5 Pro (Sep) | 2m | 80 | $2.19 | 60.8 | 0.74 | |
Gemini 1.5 Flash (Sep) | 1m | 72 | $0.13 | 188.4 | 0.25 | |
Gemma 2 27B | 8k | 61 | $0.26 | 59.4 | 0.48 | |
Gemma 2 9B | 8k | 55 | $0.12 | 168.9 | 0.36 | |
Gemini 1.5 Flash (May) | 1m | $0.13 | 310.6 | 0.29 | ||
Gemini Experimental (Nov) | 2m | $0.00 | 53.9 | 1.12 | ||
Gemini 1.5 Pro (May) | 2m | $2.19 | 66.9 | 0.49 | ||
Gemini 1.5 Flash-8B | 1m | $0.07 | 279.7 | 0.38 | ||
Claude 3.5 Sonnet (Oct) | Anthropic | 200k | 80 | $6.00 | 72.0 | 0.99 |
Claude 3.5 Sonnet (June) | Anthropic | 200k | 76 | $6.00 | 61.5 | 0.87 |
Claude 3 Opus | Anthropic | 200k | 70 | $30.00 | 25.9 | 2.00 |
Claude 3.5 Haiku | Anthropic | 200k | 68 | $1.60 | 65.1 | 0.71 |
Claude 3 Haiku | Anthropic | 200k | 55 | $0.50 | 121.6 | 0.72 |
Pixtral Large | Mistral | 128k | 74 | $3.00 | 36.5 | 0.40 |
Mistral Large 2 (Jul '24) | Mistral | 128k | 74 | $3.00 | 31.1 | 0.50 |
Mistral Large 2 (Nov '24) | Mistral | 128k | 74 | $3.00 | 37.4 | 0.52 |
Mistral Small (Sep '24) | Mistral | 33k | 61 | $0.30 | 61.5 | 0.32 |
Mixtral 8x22B | Mistral | 65k | 61 | $1.20 | 85.1 | 0.57 |
Pixtral 12B | Mistral | 128k | 56 | $0.13 | 70.3 | 0.37 |
Ministral 8B | Mistral | 128k | 56 | $0.10 | 136.1 | 0.30 |
Mistral NeMo | Mistral | 128k | 54 | $0.09 | 122.5 | 0.48 |
Ministral 3B | Mistral | 128k | 53 | $0.04 | 168.5 | 0.29 |
Mixtral 8x7B | Mistral | 33k | 41 | $0.50 | 110.6 | 0.36 |
Codestral-Mamba | Mistral | 256k | 33 | $0.25 | 95.8 | 0.44 |
Command-R+ | Cohere | 128k | 55 | $5.19 | 50.7 | 0.47 |
Command-R+ (Apr '24) | Cohere | 128k | 45 | $6.00 | 49.3 | 0.51 |
Command-R (Mar '24) | Cohere | 128k | 36 | $0.75 | 108.1 | 0.36 |
Aya Expanse 8B | Cohere | 8k | $0.75 | 165.5 | 0.16 | |
Command-R | Cohere | 128k | $0.51 | 111.8 | 0.32 | |
Aya Expanse 32B | Cohere | 128k | $0.75 | 120.4 | 0.18 | |
Sonar 3.1 Small | Perplexity | 127k | $0.20 | 203.8 | 0.34 | |
Sonar 3.1 Large | Perplexity | 127k | $1.00 | 57.7 | 0.31 | |
Grok Beta | xAI | 128k | 72 | $7.50 | 66.7 | 0.42 |
Nova Pro | Amazon | 300k | 75 | $1.40 | 91.0 | 0.38 |
Nova Lite | Amazon | 300k | 70 | $0.10 | 148.0 | 0.33 |
Nova Micro | Amazon | 130k | 66 | $0.06 | 195.5 | 0.33 |
Phi-4 | Microsoft Azure | 16k | 77 | $0.09 | 85.0 | 0.22 |
Phi-3 Mini | Microsoft Azure | 4k | $0.00 | |||
Phi-3 Medium 14B | Microsoft Azure | 128k | $0.30 | 50.4 | 0.43 | |
Solar Mini | Upstage | 4k | 47 | $0.15 | 89.3 | 1.13 |
DBRX | Databricks | 33k | 46 | $1.16 | 78.3 | 0.42 |
Llama 3.1 Nemotron 70B | NVIDIA | 128k | 72 | $0.27 | 48.3 | 0.57 |
Reka Flash | Reka AI | 128k | 59 | $0.35 | ||
Reka Core | Reka AI | 128k | 58 | $2.00 | ||
Reka Flash (Feb '24) | Reka AI | 128k | 46 | $0.35 | ||
Reka Edge | Reka AI | 128k | 31 | $0.10 | ||
Jamba 1.5 Large | AI21 Labs | 256k | 64 | $3.50 | 51.0 | 0.71 |
Jamba 1.5 Mini | AI21 Labs | 256k | $0.25 | 83.7 | 0.48 | |
DeepSeek V3 | DeepSeek | 128k | 80 | $0.90 | 20.9 | 0.94 |
DeepSeek-V2.5 (Dec '24) | DeepSeek | 128k | 72 | $0.17 | 61.8 | 1.15 |
DeepSeek-Coder-V2 | DeepSeek | 128k | 71 | $0.17 | 62.0 | 1.11 |
DeepSeek-V2.5 | DeepSeek | 128k | $1.09 | 7.6 | 0.77 | |
DeepSeek-V2 | DeepSeek | 128k | $0.17 | |||
Arctic | Snowflake | 4k | 51 | $0.00 | ||
Qwen2.5 72B | Alibaba | 131k | 77 | $0.40 | 67.6 | 0.53 |
Qwen2.5 Coder 32B | Alibaba | 131k | 72 | $0.80 | 84.0 | 0.38 |
Qwen2 72B | Alibaba | 131k | 72 | $0.63 | 46.5 | 0.30 |
QwQ 32B-Preview | Alibaba | 33k | 46 | $0.26 | 67.3 | 0.40 |
Yi-Large | 01.AI | 32k | 61 | $3.00 | 68.1 | 0.47 |
GPT-4 Turbo | OpenAI | 128k | 75 | $15.00 | 43.3 | 1.20 |
GPT-4 | OpenAI | 8k | $37.50 | 28.4 | 0.75 | |
Llama 3 70B | Meta | 8k | 48 | $0.89 | 48.9 | 0.38 |
Llama 3 8B | Meta | 8k | 45 | $0.15 | 117.3 | 0.34 |
Llama 2 Chat 70B | Meta | 4k | $1.85 | |||
Llama 2 Chat 13B | Meta | 4k | $0.00 | |||
Llama 2 Chat 7B | Meta | 4k | $0.33 | 123.7 | 0.37 | |
Gemini 1.0 Pro | 33k | $0.75 | 102.9 | 1.27 | ||
Claude 3 Sonnet | Anthropic | 200k | 57 | $6.00 | 68.2 | 0.76 |
Claude 2.1 | Anthropic | 200k | $12.00 | 14.1 | 1.24 | |
Claude 2.0 | Anthropic | 100k | $12.00 | 29.9 | 0.81 | |
Mistral Small (Feb '24) | Mistral | 33k | 59 | $1.50 | 53.5 | 0.37 |
Mistral Large (Feb '24) | Mistral | 33k | 56 | $6.00 | 38.9 | 0.44 |
Mistral 7B | Mistral | 8k | 28 | $0.16 | 112.5 | 0.26 |
Mistral Medium | Mistral | 33k | $4.09 | 44.7 | 0.37 | |
Codestral | Mistral | 33k | $0.30 | 84.9 | 0.28 | |
OpenChat 3.5 | OpenChat | 8k | 44 | $0.06 | 73.5 | 0.30 |
Jamba Instruct | AI21 Labs | 256k | $0.55 | 77.4 | 0.52 |
Terms
- Artificial Analysis Quality Index: Average result across our evaluations covering different dimensions of model intelligence. Currently includes MMLU, GPQA, Math & HumanEval. OpenAI o1 model figures are preliminary and are based on figures stated by OpenAI. See methodology for more details.
- Context window: Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).
- Output Speed: Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).
- Latency: Time to first token of tokens received, in seconds, after API request sent. For models which do not support streaming, this represents time to receive the completion.
- Price: Price per token, represented as USD per million Tokens. Price is a blend of Input & Output token prices (3:1 ratio).
- Output Price: Price per token generated by the model (received from the API), represented as USD per million Tokens.
- Input Price: Price per token included in the request/message sent to the API, represented as USD per million Tokens.
- Time period: Metrics are 'live' and are based on the past 14 days of measurements, measurements are taken 8 times a day for single requests and 2 times per day for parallel requests.
References
- ↑ 1.0 1.1 LLM Leaderboard - Comparison of GPT-4o, Llama 3, Mistral, Gemini and over 30 models https://artificialanalysis.ai/leaderboards/models