Request a pilot
‹ PublicAI Index

The LLM benchmark aggregator.

Llama 2 70B Chat

Meta · 70B

Strongest in Professional (#146 of 187, on 1 of its 2 boards), weakest in Human preference (#299 of 346). Above par in 0 of 4 scopes. Among the models it meets almost everywhere, it finishes behind Gemini 4 Argon and Muse Wonder and ahead of Llama 2 13B Chat and Mistral 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.

Professional44.9#146/187
Legal37.9#147/162
Human preference34.8#299/346
Human preference34.8#299/346

§ 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 Llama 2 70B Chat, left for the other.

Llama 2 7B Chatwon 4 · lost 0
Mistral 7B Instructwon 4 · lost 0
Llama 2 13B Chatwon 4 · lost 0
Mixtral 8x7b Instructwon 2 · lost 2
Command Rwon 2 · lost 2
GPT OSS 20Bwon 2 · lost 2
GPT-4.1 Nanowon 2 · lost 2
GPT-5 Nanowon 2 · lost 2
Mistral Medium 3.5won 2 · lost 2
Llama 3.1 8B Instructwon 1 · lost 2
Llama 3.1 70B Instructwon 1 · lost 2
GPT-4o Miniwon 1 · lost 2
Mistral Smallwon 1 · lost 2
Jamba 1.5 Miniwon 1 · lost 3
Command R Pluswon 1 · lost 3
Jamba 1.5 Largewon 1 · lost 3
Gemini 1.5 Flashwon 1 · lost 3
Llama 4 Scout Instructwon 1 · lost 3
Claude 3.5 Haikuwon 1 · lost 3
Gemini 1.5 Prowon 1 · lost 3
Claude Haiku 4.5won 1 · lost 3
Mimo V2.5won 1 · lost 3
Gemma 4 31Bwon 1 · lost 3
Grok 4.20won 1 · lost 3
Mixtral 8x22b Instructwon 0 · lost 3
Mistral Largewon 0 · lost 3
Grok 2won 0 · lost 3
O1 Miniwon 0 · lost 3
Claude 3.5 Sonnetwon 0 · lost 3
Gemma 2 9B Itwon 0 · lost 4
Gemma 2 27B Itwon 0 · lost 4
Qwen2.5 72B Instructwon 0 · lost 4
Llama 3.3 70B Instructwon 0 · lost 4
GPT-4 Turbowon 0 · lost 4
GPT-4owon 0 · lost 4
GPT OSS 120Bwon 0 · lost 4
Command Awon 0 · lost 4
Gemini 2.0 Flashwon 0 · lost 4
O3 Miniwon 0 · lost 4
Grok 3 Miniwon 0 · lost 4
Trinity Largewon 0 · lost 4
Gemini 2.5 Flash Litewon 0 · lost 4
GPT-4.1 Miniwon 0 · lost 4
MiniMax M2.1won 0 · lost 4
Claude 3.7 Sonnetwon 0 · lost 4
GPT-5 Miniwon 0 · lost 4
MiniMax M2.5won 0 · lost 4
O4 Miniwon 0 · lost 4
DeepSeek V3won 0 · lost 4
Qwen3.5 Flashwon 0 · lost 4
GPT-5.4 Nanowon 0 · lost 4
O1won 0 · lost 4
Claude Sonnet 4won 0 · lost 4
Inkling Smallwon 0 · lost 4
Grok 4 Fastwon 0 · lost 4
Gemini 2.5 Flashwon 0 · lost 4
GLM-4.5won 0 · lost 4
Grok 3won 0 · lost 4
Grok 4won 0 · lost 4
Mistral Large 3won 0 · lost 4
GPT-4.1won 0 · lost 4
MiniMax M2.7won 0 · lost 4
DeepSeek V3.1won 0 · lost 4
Kimi K2won 0 · lost 4
DeepSeek R1won 0 · lost 4
DeepSeek V3.2won 0 · lost 4
Qwen3 Maxwon 0 · lost 4
GLM-4.6won 0 · lost 4
Claude Opus 4won 0 · lost 4
Grok 4.1 Fastwon 0 · lost 4
Mistral Large 4won 0 · lost 4
O3won 0 · lost 4
Gemini 3.1 Flash Litewon 0 · lost 4
GPT-5won 0 · lost 4
GPT-5.2won 0 · lost 4
Qwen3.8 27Bwon 0 · lost 4
DeepSeek V4 Flashwon 0 · lost 4
GLM-4.7won 0 · lost 4
Inklingwon 0 · lost 4
MiniMax M3won 0 · lost 4
Grok 4.3won 0 · lost 4
GPT-6 Lunawon 0 · lost 4
Qwen3.6 Pluswon 0 · lost 4
Grok 4.7won 0 · lost 4
Gemini 2.5 Prowon 0 · lost 4
Step 5won 0 · lost 4
GPT-5.4 Miniwon 0 · lost 4
Kimi K2.5won 0 · lost 4
Claude Opus 4.1won 0 · lost 4
Mimo V2.6 Flashwon 0 · lost 4
GPT-5.6 Lunawon 0 · lost 4
Grok 4.6won 0 · lost 4
Gemini 3.5 Flash Litewon 0 · lost 4
GPT-5.1won 0 · lost 4
Qwen3.7 Pluswon 0 · lost 4
Claude Sonnet 4.5won 0 · lost 4
GLM-5won 0 · lost 4
GPT-6 Solwon 0 · lost 4
Qwen3.6 Maxwon 0 · lost 4
Kimi K2.6won 0 · lost 4
Claude Sonnet 5won 0 · lost 4
DeepSeek V4 Prowon 0 · lost 4
GLM-5.1won 0 · lost 4
Grok 4.5won 0 · lost 4
GPT-5.6 Terrawon 0 · lost 4
Mimo V2.5 Prowon 0 · lost 4
Claude Sonnet 4.6won 0 · lost 4
Gemini 3 Flashwon 0 · lost 4
Qwen3.7 Maxwon 0 · lost 4
GLM-5.3 Flashwon 0 · lost 4
Claude Opus 4.5won 0 · lost 4
Claude Sonnet 5.5won 0 · lost 4
DeepSeek V4.1 Flashwon 0 · lost 4
GPT-5.4won 0 · lost 4
GLM-5.2won 0 · lost 4
GPT-6 Astrawon 0 · lost 4
Gemini 3.5 Flashwon 0 · lost 4
Mimo V2.6 Prowon 0 · lost 4
GLM-5.3won 0 · lost 4
Claude Opus 4.8won 0 · lost 4
GPT-5.5won 0 · lost 4
Qwen3.8 Maxwon 0 · lost 4
Gemini 3.6 Flashwon 0 · lost 4
GPT-6.1 Solwon 0 · lost 4
Gemini 3 Prowon 0 · lost 4
GPT-5.6 Solwon 0 · lost 4
Kimi K3won 0 · lost 4
Gemini 3.1 Prowon 0 · lost 4
Gemini 3.7 Flashwon 0 · lost 4
Muse Sparkwon 0 · lost 4
Claude Opus 5won 0 · lost 4
Muse Spark 1.1won 0 · lost 4
Muse Spark 1.2won 0 · lost 4
Muse Spark 1.3won 0 · lost 4
Gemini 3.8 Flashwon 0 · lost 4
Claude Opus 4.7won 0 · lost 4
Claude Fable 5.1won 0 · lost 4
Claude Opus 4.6won 0 · lost 4
Claude Fable 5won 0 · lost 4
Claude Opus 5.5won 0 · lost 4
Muse Wonderwon 0 · lost 4
Gemini 4 Argonwon 0 · lost 4

§ 3 · Sources

Where the numbers come from

2 publications, 2 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-10-19
LMArena Text 1171
Vals.ai ↗1 measureread 2026-10-19
Vals · LegalBench 62.43%

Badge

PublicAI Index badge for Llama 2 70B Chat[![PublicAI Index](https://publicai.io/model-index/badge?model=llama-2-70b-chat)](https://publicai.io/model-index/m/llama-2-70b-chat)