The LLM benchmark aggregator.

Codellama 70B Instruct

Meta · 70B

Strongest in Human preference (#324 of 346), weakest in Human preference (#324 of 346). Above par in 0 of 2 scopes. Among the models it meets almost everywhere, it finishes behind Gemini 4 Argon and Muse Wonder and ahead of Gemma 1.1 2B It and Smollm2 1.7B Instruct.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Human preference29.9−38.7#324/3461/1

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Codellama 70B Instruct, left for the other.

Koala 13Bwon 2 · lost 0

Oasst Pythia 12Bwon 2 · lost 0

RWKV 4 Raven 14Bwon 2 · lost 0

Alpaca 13Bwon 2 · lost 0

Olmo 7B Instructwon 2 · lost 0

Fastchat T5 3Bwon 2 · lost 0

Chatglm 6Bwon 2 · lost 0

Chatglm3 6Bwon 2 · lost 0

MPT 7B Chatwon 2 · lost 0

Stablelm Tuned Alpha 7Bwon 2 · lost 0

Dolly V2 12Bwon 2 · lost 0

Chatglm2 6Bwon 2 · lost 0

Gpt4all 13B Snoozywon 2 · lost 0

Llama 13Bwon 2 · lost 0

Qwen1.5 4B Chatwon 2 · lost 0

Gemma 2B Itwon 2 · lost 0

Llama 2 7B Chatwon 2 · lost 0

Mistral 7B Instructwon 2 · lost 0

Llama 3.2 1B Instructwon 2 · lost 0

Vicuna 7Bwon 2 · lost 0

Smollm2 1.7B Instructwon 2 · lost 0

Gemma 1.1 2B Itwon 2 · lost 0

Stripedhyena Nous 7Bwon 0 · lost 2

Zephyr 7B Alphawon 0 · lost 2

Guanaco 33Bwon 0 · lost 2

Phi 3 Mini 128k Instructwon 0 · lost 2

Zephyr 7B Betawon 0 · lost 2

Codellama 34B Instructwon 0 · lost 2

Gemma 7B Itwon 0 · lost 2

Palm 2won 0 · lost 2

Qwen 14B Chatwon 0 · lost 2

Vicuna 13Bwon 0 · lost 2

Llama 2 13B Chatwon 0 · lost 2

Phi 3 Mini 4k Instructwon 0 · lost 2

Qwen1.5 7B Chatwon 0 · lost 2

Falcon 180B Chatwon 0 · lost 2

Mistral 7B Instruct V0.2won 0 · lost 2

Wizardlm 13Bwon 0 · lost 2

MPT 30B Chatwon 0 · lost 2

Dolphin 2.2.1 Mistral 7Bwon 0 · lost 2

Solar 10.7B Instruct V1.0won 0 · lost 2

Llama2 70B Steerlm Chatwon 0 · lost 2

Granite 3.0 2B Instructwon 0 · lost 2

Nous Hermes 2 Mixtral 8x7b Dpowon 0 · lost 2

Llama 3.2 3B Instructwon 0 · lost 2

Starling Lm 7B Alphawon 0 · lost 2

Llama 2 70B Chatwon 0 · lost 2

Phi 3 Small 8k Instructwon 0 · lost 2

Starling Lm 7B Betawon 0 · lost 2

Vicuna 33Bwon 0 · lost 2

Openhermes 2.5 Mistral 7Bwon 0 · lost 2

Tulu 2 Dpo 70Bwon 0 · lost 2

Granite 3.1 2B Instructwon 0 · lost 2

Snowflake Arctic Instructwon 0 · lost 2

Gemma 1.1 7B Itwon 0 · lost 2

Openchat 3.5won 0 · lost 2

Granite 3.0 8B Instructwon 0 · lost 2

Yi 34B Chatwon 0 · lost 2

Wizardlm 70Bwon 0 · lost 2

DeepSeek LLM 67B Chatwon 0 · lost 2

Internlm2_5 20B Chatwon 0 · lost 2

Qwen1.5 14B Chatwon 0 · lost 2

DBRX Instructwon 0 · lost 2

Mixtral 8x7b Instructwon 0 · lost 2

Phi 3 Medium 4k Instructwon 0 · lost 2

Gemma 2 2B Itwon 0 · lost 2

Qwen1.5 32B Chatwon 0 · lost 2

GPT-3.5 Turbowon 0 · lost 2

Granite 3.1 8B Instructwon 0 · lost 2

Llama 3.1 8B Instructwon 0 · lost 2

Yi 1.5 34B Chatwon 0 · lost 2

Zephyr Orpo 141B A35B V0.1won 0 · lost 2

Llama 3.1 Tulu 3 8Bwon 0 · lost 2

C4ai Aya Expanse 8Bwon 0 · lost 2

Llama 3 8B Instructwon 0 · lost 2

Gemini Prowon 0 · lost 2

Reka Flash 21Bwon 0 · lost 2

Mixtral 8x22b Instructwon 0 · lost 2

Hunyuan Standard 256kwon 0 · lost 2

Qwen1.5 72B Chatwon 0 · lost 2

Qwen1.5 110B Chatwon 0 · lost 2

Reka Flash 21B Onlinewon 0 · lost 2

Gemini Pro Dev Apiwon 0 · lost 2

Ministral 8Bwon 0 · lost 2

Jamba 1.5 Miniwon 0 · lost 2

Nova Microwon 0 · lost 2

Command Rwon 0 · lost 2

Olmo 2 32B Instructwon 0 · lost 2

Phi 4won 0 · lost 2

Gemini 1.5 Flash 8Bwon 0 · lost 2

Nova Litewon 0 · lost 2

Claude 3 Haikuwon 0 · lost 2

Qwen2 72B Instructwon 0 · lost 2

DeepSeek Coder V2won 0 · lost 2

Gemma 2 9B Itwon 0 · lost 2

C4ai Aya Expanse 32Bwon 0 · lost 2

Qwen2.5 Coder 32B Instructwon 0 · lost 2

Reka Flashwon 0 · lost 2

GLM-4won 0 · lost 2

Mistral Small 24B Instructwon 0 · lost 2

GPT-4won 0 · lost 2

Command R Pluswon 0 · lost 2

Llama 3 70B Instructwon 0 · lost 2

Nemotron 4 340B Instructwon 0 · lost 2

Gemma 2 9B It Simpowon 0 · lost 2

Claude 3 Sonnetwon 0 · lost 2

Llama 3.1 Tulu 3 70Bwon 0 · lost 2

Olmo 3.1 32B Thinkwon 0 · lost 2

IBM Granite H Smallwon 0 · lost 2

Llama 3.1 Nemotron 51B Instructwon 0 · lost 2

Reka Corewon 0 · lost 2

Jamba 1.5 Largewon 0 · lost 2

Gemma 2 27B Itwon 0 · lost 2

Nova Prowon 0 · lost 2

Granite 4.2 8Bwon 0 · lost 2

Granite 4.2 3Bwon 0 · lost 2

Llama 3.1 70B Instructwon 0 · lost 2

Hunyuan Large Visionwon 0 · lost 2

Llama 3.1 Nemotron 70B Instructwon 0 · lost 2

Qwen2.5 72B Instructwon 0 · lost 2

Mistral Small 3.1 24B Instructwon 0 · lost 2

Gemma 3 4B Itwon 0 · lost 2

Granite 4.1 8Bwon 0 · lost 2

Magistral Mediumwon 0 · lost 2

Mercurywon 0 · lost 2

Mistral Largewon 0 · lost 2

Olmo 3 32B Thinkwon 0 · lost 2

Athene 70Bwon 0 · lost 2

Grok 2 Miniwon 0 · lost 2

Gemini 1.5 Flashwon 0 · lost 2

Hunyuan Standardwon 0 · lost 2

NVIDIA Nemotron 3 Nano 30B A3Bwon 0 · lost 2

Athene V2 Chatwon 0 · lost 2

Qwen2.5 Pluswon 0 · lost 2

GPT OSS 20Bwon 0 · lost 2

GPT-4o Miniwon 0 · lost 2

Llama 3.3 70B Instructwon 0 · lost 2

Gemma 3n E4b Itwon 0 · lost 2

Qwen Maxwon 0 · lost 2

Step 1o Turbowon 0 · lost 2

Claude 3 Opuswon 0 · lost 2

Llama 4 Scout Instructwon 0 · lost 2

GPT-4.1 Nanowon 0 · lost 2

Molmo 2 8Bwon 0 · lost 2

Ring Flash 2.0won 0 · lost 2

DeepSeek V2.5won 0 · lost 2

Claude 3.5 Haikuwon 0 · lost 2

GPT-4 Turbowon 0 · lost 2

Hunyuan Largewon 0 · lost 2

Llama 4 Maverick Instructwon 0 · lost 2

Yi Lightningwon 0 · lost 2

Llama 3.3 Nemotron 49B Super V1won 0 · lost 2

Olmo 3.1 32B Instructwon 0 · lost 2

Step 2 16kwon 0 · lost 2

Nova 2 Litewon 0 · lost 2

Llama 3.1 405B Instructwon 0 · lost 2

Gemini Advancedwon 0 · lost 2

QwQ 32Bwon 0 · lost 2

Grok 2won 0 · lost 2

GPT-4owon 0 · lost 2

O1 Miniwon 0 · lost 2

GPT-5 Nanowon 0 · lost 2

Granite 4.2 30Bwon 0 · lost 2

Hunyuan Turbowon 0 · lost 2

Gemma 3 12B Itwon 0 · lost 2

Mercury 2won 0 · lost 2

NVIDIA Llama 3.3 Nemotron Super 49B V1.5won 0 · lost 2

GLM-4 Pluswon 0 · lost 2

MiniMax M2won 0 · lost 2

Ling Flash 2.0won 0 · lost 2

Qwen Pluswon 0 · lost 2

Qwen3 32Bwon 0 · lost 2

Llama 3.1 Nemotron Ultra 253B V1won 0 · lost 2

Step 3won 0 · lost 2

NVIDIA Nemotron 3.5 Lightning 30B A3Bwon 0 · lost 2

Gemini 1.5 Prowon 0 · lost 2

GLM-4.5vwon 0 · lost 2

GPT OSS 120Bwon 0 · lost 2

Gemini 2.0 Flash Litewon 0 · lost 2

Command Awon 0 · lost 2

Intellect 3won 0 · lost 2

Mistral Smallwon 0 · lost 2

NVIDIA Nemotron 3 Super 120B A12Bwon 0 · lost 2

Gemini 2.0 Flashwon 0 · lost 2

O3 Miniwon 0 · lost 2

Grok 3 Miniwon 0 · lost 2

MiniMax M1won 0 · lost 2

GLM-4.7 Flashwon 0 · lost 2

Gemma 3 27B Itwon 0 · lost 2

Trinity Largewon 0 · lost 2

Qwen3 Next 80B A3B Thinkingwon 0 · lost 2

GLM-4.5 Airwon 0 · lost 2

Qwen2.5 Maxwon 0 · lost 2

Claude 3.5 Sonnetwon 0 · lost 2

Gemini 2.5 Flash Litewon 0 · lost 2

GLM-4.6vwon 0 · lost 2

Qwen3 30B A3B Instructwon 0 · lost 2

Hunyuan Turboswon 0 · lost 2

GPT-4.1 Miniwon 0 · lost 2

MiniMax M2.1won 0 · lost 2

Mimo V2 Flashwon 0 · lost 2

Solar Pro4won 0 · lost 2

Hunyuan T1won 0 · lost 2

Qwen3 Coder 480B A35B Instructwon 0 · lost 2

Claude 3.7 Sonnetwon 0 · lost 2

GPT-5 Miniwon 0 · lost 2

MiniMax M2.5won 0 · lost 2

O4 Miniwon 0 · lost 2

Step 3.5 Flashwon 0 · lost 2

Hunyuan Vision 1.5won 0 · lost 2

Qwen3.5 35B A3Bwon 0 · lost 2

Qwen3 Vl 235B A22B Thinkingwon 0 · lost 2

DeepSeek V3won 0 · lost 2

Qwen3.5 Flashwon 0 · lost 2

Qwen3 Next 80B A3B Instructwon 0 · lost 2

Qwen3 235B A22B Thinkingwon 0 · lost 2

Longcat Flash Chatwon 0 · lost 2

GPT-5.4 Nanowon 0 · lost 2

O1won 0 · lost 2

Claude Sonnet 4won 0 · lost 2

Inkling Smallwon 0 · lost 2

Grok 4 Fastwon 0 · lost 2

Mistral Mediumwon 0 · lost 2

Hunyuan Hy3won 0 · lost 2

Qwen3.5 27Bwon 0 · lost 2

Gemini 2.5 Flashwon 0 · lost 2

GLM-4.5won 0 · lost 2

Grok 3won 0 · lost 2

Grok 4won 0 · lost 2

Qwen3 Vl 235B A22B Instructwon 0 · lost 2

Mistral Large 3won 0 · lost 2

Claude Haiku 4.5won 0 · lost 2

GPT-4.1won 0 · lost 2

MiniMax M2.7won 0 · lost 2

NVIDIA Nemotron 3.5 Super Vl 120B A12Bwon 0 · lost 2

DeepSeek V3.1 Terminuswon 0 · lost 2

DeepSeek V3.1won 0 · lost 2

Qwen3.5 122B A10Bwon 0 · lost 2

Kimi K2won 0 · lost 2

DeepSeek R1won 0 · lost 2

DeepSeek V3.2won 0 · lost 2

Qwen3 235B A22B Instructwon 0 · lost 2

Qwen3 Maxwon 0 · lost 2

GLM-4.6won 0 · lost 2

Muse Glimmerwon 0 · lost 2

Nova Experimental Chatwon 0 · lost 2

NVIDIA Nemotron 3 Ultra 550B A55Bwon 0 · lost 2

Mistral Medium 3.5won 0 · lost 2

GPT-5 Chatwon 0 · lost 2

Claude Opus 4won 0 · lost 2

Kimi K2 Thinking Turbowon 0 · lost 2

Grok 4.1 Fastwon 0 · lost 2

Kimi K2.5 Instantwon 0 · lost 2

Mimo V2 Omniwon 0 · lost 2

Mistral Large 4won 0 · lost 2

O3won 0 · lost 2

Gemini 3.1 Flash Litewon 0 · lost 2

GLM-5v Turbowon 0 · lost 2

Mimo V2.5won 0 · lost 2

GPT-5won 0 · lost 2

GPT-5.2won 0 · lost 2

Gemma 4 26B A4Bwon 0 · lost 2

Qwen3.8 27Bwon 0 · lost 2

DeepSeek V4 Flashwon 0 · lost 2

GLM-4.7won 0 · lost 2

Inklingwon 0 · lost 2

MiniMax M3won 0 · lost 2

Grok 4.3won 0 · lost 2

Qwen3.5 397B A17Bwon 0 · lost 2

GPT-6 Lunawon 0 · lost 2

Qwen3.6 Pluswon 0 · lost 2

ChatGPT-4owon 0 · lost 2

Grok 4.7won 0 · lost 2

GPT-4.5won 0 · lost 2

Gemini 2.5 Prowon 0 · lost 2

Ernie 5.0won 0 · lost 2

Step 5won 0 · lost 2

GPT-5.4 Miniwon 0 · lost 2

Mimo V2 Prowon 0 · lost 2

GPT-5.3 Chatwon 0 · lost 2

Kimi K2.5won 0 · lost 2

Claude Opus 4.1won 0 · lost 2

Mimo V2.6 Flashwon 0 · lost 2

Gemma 4 31Bwon 0 · lost 2

Hy3won 0 · lost 2

GPT-5.6 Lunawon 0 · lost 2

Grok 4.6won 0 · lost 2

Gemini 3.5 Flash Litewon 0 · lost 2

GPT-5.1won 0 · lost 2

Qwen3.7 Pluswon 0 · lost 2

Claude Sonnet 4.5won 0 · lost 2

Dola Seed 2.0 Prowon 0 · lost 2

GLM-5won 0 · lost 2

GPT-6 Solwon 0 · lost 2

Qwen3.6 Maxwon 0 · lost 2

Kimi K2.6won 0 · lost 2

Claude Sonnet 5won 0 · lost 2

Qwen3.5 Maxwon 0 · lost 2

DeepSeek V4 Prowon 0 · lost 2

GLM-5.1won 0 · lost 2

Grok 4.1won 0 · lost 2

Grok 4.5won 0 · lost 2

GPT-5.6 Terrawon 0 · lost 2

Ernie 5.1won 0 · lost 2

Mimo V2.5 Prowon 0 · lost 2

Grok 4.20 Multi Agentwon 0 · lost 2

Grok 4.20won 0 · lost 2

Claude Sonnet 4.6won 0 · lost 2

GPT-5.5 Instantwon 0 · lost 2

Gemini 3 Flashwon 0 · lost 2

Qwen3.7 Maxwon 0 · lost 2

GLM-5.3 Flashwon 0 · lost 2

Claude Opus 4.5won 0 · lost 2

Claude Sonnet 5.5won 0 · lost 2

DeepSeek V4.1 Flashwon 0 · lost 2

GPT-5.4won 0 · lost 2

GLM-5.2won 0 · lost 2

GPT-5.2 Chatwon 0 · lost 2

GPT-6 Astrawon 0 · lost 2

Gemini 3.5 Flashwon 0 · lost 2

Mimo V2.6 Prowon 0 · lost 2

GLM-5.3won 0 · lost 2

Claude Opus 4.8won 0 · lost 2

GPT-5.5won 0 · lost 2

Qwen3.8 Maxwon 0 · lost 2

Gemini 3.6 Flashwon 0 · lost 2

GPT-6.1 Solwon 0 · lost 2

Gemini 3 Prowon 0 · lost 2

GPT-5.6 Solwon 0 · lost 2

Kimi K3won 0 · lost 2

Gemini 3.1 Prowon 0 · lost 2

Gemini 3.7 Flashwon 0 · lost 2

Muse Sparkwon 0 · lost 2

Claude Opus 5won 0 · lost 2

Muse Spark 1.1won 0 · lost 2

Muse Spark 1.2won 0 · lost 2

Muse Spark 1.3won 0 · lost 2

Gemini 3.8 Flashwon 0 · lost 2

Claude Opus 4.7won 0 · lost 2

Claude Fable 5.1won 0 · lost 2

Claude Opus 4.6won 0 · lost 2

Claude Fable 5won 0 · lost 2

Claude Opus 5.5won 0 · lost 2

Muse Wonderwon 0 · lost 2

Gemini 4 Argonwon 0 · lost 2

§ 3 · Sources

Where the numbers come from

1 publication, 1 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-10-19

LMArena Text 1119

Badge

[![PublicAI Index](https://publicai.io/model-index/badge?model=codellama-70b-instruct)](https://publicai.io/model-index/m/codellama-70b-instruct)