Request a pilot
‹ PublicAI Index

The LLM benchmark aggregator.

Jamba 1.5 Large

AI21

Strongest in Legal (#94 of 151), weakest in Safety (#265 of 337). Above par in 1 of 12 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Opus 4.7 and ahead of Gemma 2 9B It and Llama 3.1 8B 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.

Professional41#154/168
Legal46.9#94/151
Medical41.8#121/140
Finance34.3#146/151
Human preference46.3#229/342
Human preference46.3#229/342
Safety46.5#265/337
Jailbreak resistance52.8#146/272
Harm refusal47.6#198/300
Fairness44.7#201/300
Secure code40.5#220/274
Toxicity avoidance44.2#234/272

§ 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 Jamba 1.5 Large, left for the other.

Smollm2 1.7B Instructwon 8 · lost 0
Nous Hermes 2 Mixtral 8x7b Dpowon 8 · lost 0
Jamba 1.6 Miniwon 9 · lost 1
Gemma 2B Itwon 7 · lost 1
Gemma 7B Itwon 7 · lost 1
GPT-3.5 Turbowon 7 · lost 1
Jamba 1.5 Miniwon 10 · lost 2
DBRX Instructwon 6 · lost 2
Command R Pluswon 8 · lost 3
Zephyr 7B Betawon 5 · lost 3
Mistral 7B Instruct V0.2won 5 · lost 3
DeepSeek LLM 67B Chatwon 5 · lost 3
Qwen1.5 14B Chatwon 5 · lost 3
Llama 3.1 8B Instructwon 5 · lost 3
Gemma 2 9B Itwon 6 · lost 4
Llama 3.2 1B Instructwon 4 · lost 4
Llama 3.2 3B Instructwon 4 · lost 4
Starling Lm 7B Betawon 4 · lost 4
Granite 3.1 2B Instructwon 4 · lost 4
Gemma 2 2B Itwon 4 · lost 4
Llama 3 8B Instructwon 4 · lost 4
Qwen3 30B A3B Instructwon 4 · lost 4
Ling 3.0 Flashwon 5 · lost 5
Llama 3.1 Instruct Turbo (8B)won 4 · lost 5
Llama 3.1 Instruct Turbo (70B)won 4 · lost 5
DeepSeek R1won 5 · lost 7
Grok 4.1 Fastwon 5 · lost 7
Jamba 1.6 Largewon 4 · lost 6
Phi 3 Mini 128k Instructwon 3 · lost 5
Phi 3 Mini 4k Instructwon 3 · lost 5
Granite 3.0 2B Instructwon 3 · lost 5
Phi 3 Small 8k Instructwon 3 · lost 5
Granite 3.0 8B Instructwon 3 · lost 5
Phi 3 Medium 4k Instructwon 3 · lost 5
Granite 3.1 8B Instructwon 3 · lost 5
Llama 3.1 Tulu 3 8Bwon 3 · lost 5
Nova Microwon 3 · lost 5
Claude 3 Haikuwon 3 · lost 5
Magistral Mediumwon 3 · lost 5
Gemma 4 26B A4Bwon 3 · lost 5
Mistral Smallwon 4 · lost 7
Mimo V2.6 Flashwon 4 · lost 7
Llama 4 Scout Instructwon 4 · lost 8
Command Awon 4 · lost 8
Grok 3won 4 · lost 8
Gemma 2 27B Itwon 3 · lost 7
Gemini 1.5 Flashwon 3 · lost 8
Gemma 4 31Bwon 3 · lost 8
Qwen 2.5 Instruct Turbo (7B)won 2 · lost 6
C4ai Aya Expanse 8Bwon 2 · lost 6
Phi 4won 2 · lost 6
Nova Litewon 2 · lost 6
Qwen2 72B Instructwon 2 · lost 6
C4ai Aya Expanse 32Bwon 2 · lost 6
Mistral Small 24B Instructwon 2 · lost 6
GPT-4won 2 · lost 6
Llama 3 70B Instructwon 2 · lost 6
Claude 3 Sonnetwon 2 · lost 6
QwQ 32Bwon 2 · lost 6
NVIDIA Nemotron 3 Super 120B A12Bwon 2 · lost 6
GPT OSS 20Bwon 3 · lost 9
GPT OSS 120Bwon 3 · lost 9
Grok 4won 3 · lost 9
GLM-4.6won 3 · lost 9
DeepSeek V3.2won 3 · lost 9
DeepSeek V4 Flashwon 3 · lost 9
Mimo V2.5 Prowon 3 · lost 9
GLM-5.2won 3 · lost 9
Gemini 3.6 Flashwon 3 · lost 9
Llama 3.3 Instruct Turbo (70B)won 2 · lost 7
Mistral Largewon 2 · lost 9
GPT-4.1 Nanowon 2 · lost 10
Gemini 1.5 Prowon 2 · lost 10
DeepSeek V3won 2 · lost 10
GLM-4.5won 2 · lost 10
Kimi K2won 2 · lost 10
MiniMax M3won 2 · lost 10
Grok 4.3won 2 · lost 10
Gemini 2.5 Prowon 2 · lost 10
Kimi K2.5won 2 · lost 10
Kimi K2.6won 2 · lost 10
GLM-5.1won 2 · lost 10
GLM-5.3 Flashwon 2 · lost 10
Qwen3.7 Maxwon 2 · lost 10
Gemini 3.5 Flashwon 2 · lost 10
Llama 3.2 Vision (11B)won 1 · lost 7
Gemma 3 4B Itwon 1 · lost 7
Gemma 3 12B Itwon 1 · lost 7
Gemini 2.0 Flash Litewon 1 · lost 7
Qwen3.5 35B A3Bwon 1 · lost 7
Qwen3.5 27Bwon 1 · lost 7
Qwen3 Vl 235B A22B Instructwon 1 · lost 7
Qwen3.5 122B A10Bwon 1 · lost 7
Qwen3.5 397B A17Bwon 1 · lost 7
Llama 3.1 Instruct Turbo (405B)won 1 · lost 8
Kimi K2 Thinkingwon 1 · lost 9
Claude 3.5 Haikuwon 1 · lost 10
Llama 4 Maverick Instructwon 1 · lost 11
GPT-5 Nanowon 1 · lost 11
O3 Miniwon 1 · lost 11
GPT-4.1 Miniwon 1 · lost 11
Claude 3.7 Sonnetwon 1 · lost 11
Gemini 2.5 Flashwon 1 · lost 11
Claude Haiku 4.5won 1 · lost 11
MiniMax M2.7won 1 · lost 11
Qwen3 235B A22B Instructwon 1 · lost 11
GPT-6 Lunawon 1 · lost 11
GPT-6 Solwon 1 · lost 11
GPT-5.4won 1 · lost 11
Claude Opus 5won 1 · lost 11
Gemini 3.8 Flashwon 1 · lost 11
Nova Prowon 0 · lost 8
Qwen2.5 72B Instructwon 0 · lost 8
Qwen Maxwon 0 · lost 8
Claude 3 Opuswon 0 · lost 8
MiniMax M2won 0 · lost 8
Gemma 3 27B Itwon 0 · lost 8
Hy3won 0 · lost 8
Qwen 2.5 Instruct Turbo (72B)won 0 · lost 9
Gemini 2.5 Flash Litewon 0 · lost 9
Gemini 3 Prowon 0 · lost 9
O1 Miniwon 0 · lost 10
Claude Sonnet 4.6won 0 · lost 10
Claude Opus 4.6won 0 · lost 10
GPT-4o Miniwon 0 · lost 11
GPT-4 Turbowon 0 · lost 11
Claude 3.5 Sonnetwon 0 · lost 11
Mimo V2.6 Prowon 0 · lost 11
GPT-4owon 0 · lost 12
Gemini 2.0 Flashwon 0 · lost 12
GPT-5 Miniwon 0 · lost 12
O4 Miniwon 0 · lost 12
Claude Sonnet 4won 0 · lost 12
O1won 0 · lost 12
GPT-4.1won 0 · lost 12
Claude Opus 4won 0 · lost 12
O3won 0 · lost 12
GPT-5won 0 · lost 12
GPT-5.2won 0 · lost 12
Grok 4.7won 0 · lost 12
Inklingwon 0 · lost 12
Grok 4.6won 0 · lost 12
GPT-5.6 Lunawon 0 · lost 12
GPT-5.1won 0 · lost 12
Claude Sonnet 4.5won 0 · lost 12
Claude Sonnet 5won 0 · lost 12
DeepSeek V4 Prowon 0 · lost 12
Grok 4.5won 0 · lost 12
GPT-5.6 Terrawon 0 · lost 12
Qwen3.8 Maxwon 0 · lost 12
Claude Opus 4.8won 0 · lost 12
GPT-5.5won 0 · lost 12
GPT-5.6 Solwon 0 · lost 12
Muse Spark 1.1won 0 · lost 12
Claude Opus 4.7won 0 · lost 12
Claude Opus 5.5won 0 · lost 12

§ 3 · Sources

Where the numbers come from

3 publications, 11 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1289
Vals.ai ↗4 measuresread 2026-09-26
Vals · LegalBench 74.16%Vals · CorpFin 39.43%Vals · TaxEval 58.18%Vals · MedQA 68.11%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 10.4%Enkrypt · Harmful content risk 56.1%Enkrypt · CBRN risk 9%Enkrypt · Toxicity risk 10.4%Enkrypt · Bias risk 86.1%Enkrypt · Insecure code risk 52.9%

Badge

PublicAI Index badge for Jamba 1.5 Large[![PublicAI Index](https://publicai.io/model-index/badge?model=jamba-1-5-large)](https://publicai.io/model-index/m/jamba-1-5-large)