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Jamba 1.5 Large

AI21

Strongest in Legal (#113 of 173), weakest in Safety (#260 of 329). 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 Llama 3.1 8B Instruct and Gemma 2 9B IT.

§ 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.

Professional41.3#178/194
Legal46.9#113/173
Medical41.8#129/149
Finance34.3#157/162
Human preference46.1#237/354
Human preference46.1#237/354
Safety46.5#260/329
Jailbreak resistance52.9#143/268
Harm refusal47.6#193/292
Fairness44.7#195/292
Secure code40.3#217/270
Toxicity avoidance43.8#231/268

§ 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
OLMo 7B Instructwon 7 · 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
Mixtral 8x7B Instructwon 9 · lost 2
DBRX Instructwon 6 · lost 2
Command R+won 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
Magistral Small 1.2won 6 · lost 4
Gemma 2 9B ITwon 6 · lost 4
Llama 3.1 8B Instructwon 6 · lost 5
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
Qwen3 30B A3B Instructwon 4 · lost 4
DeepSeek R1won 5 · lost 7
Grok 4.1 Fastwon 5 · lost 7
Jamba 1.6 Largewon 4 · lost 6
Ling 3.0 Flashwon 4 · lost 6
Llama 2 13B Chatwon 4 · lost 6
Llama 2 70B Chatwon 4 · lost 6
Mixtral 8x22B Instructwon 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
Llama 3 8B Instructwon 3 · lost 5
Amazon Nova Microwon 3 · lost 5
Claude 3 Haikuwon 3 · lost 5
Mistral Small 3 24B Instructwon 3 · lost 5
Magistral Mediumwon 3 · lost 5
Gemma 4 26B A4Bwon 3 · lost 5
Llama 3.1 70B Instructwon 4 · lost 7
Llama 4 Scout Instructwon 4 · lost 8
Command Awon 4 · lost 8
Grok 3won 4 · lost 8
NVIDIA Nemotron 3 Ultra 550B A55Bwon 4 · lost 8
MiMo V2.6 Flashwon 4 · lost 8
Llama 2 7B Chatwon 3 · lost 7
Gemma 2 27B ITwon 3 · lost 7
Gemini 1.5 Flashwon 3 · lost 8
DeepSeek V3.1won 3 · lost 8
Gemma 4 31Bwon 3 · lost 8
Qwen 2.5 Instruct (7B)won 2 · lost 6
Aya Expanse 8Bwon 2 · lost 6
Phi 4won 2 · lost 6
Amazon Nova Litewon 2 · lost 6
Qwen2 72B Instructwon 2 · lost 6
Aya Expanse 32Bwon 2 · lost 6
GPT-4won 2 · lost 6
Llama 3 70B Instructwon 2 · lost 6
Claude 3 Sonnetwon 2 · lost 6
Granite 4.0 H Smallwon 2 · lost 6
Amazon Nova Prowon 2 · lost 6
QwQ 32Bwon 2 · lost 6
Mercury 2won 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
DeepSeek V3.2won 3 · lost 9
GLM-4.6won 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 70B Instructwon 2 · lost 9
DeepSeek V3won 2 · lost 9
GPT-4.1 nanowon 2 · lost 10
Gemini 1.5 Prowon 2 · lost 10
GLM-4.5won 2 · lost 10
Kimi K2won 2 · lost 10
Mistral Large 4won 2 · lost 10
MiniMax M3won 2 · lost 10
GPT-6 Lunawon 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
Qwen3.7 Maxwon 2 · lost 10
GLM-5.3 Flashwon 2 · lost 10
Gemini 3.5 Flashwon 2 · lost 10
Llama 3.2 Vision (11B)won 1 · lost 7
Llama 3.1 Nemotron 70B Instructwon 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
Kimi K2 Thinkingwon 1 · lost 9
Claude 3.5 Haikuwon 1 · lost 10
Llama 3.1 405B Instructwon 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
Qwen3 235B A22B Instructwon 1 · lost 11
Inklingwon 1 · lost 11
GPT-6 Solwon 1 · lost 11
GLM-5.1won 1 · lost 11
GPT-5.4won 1 · lost 11
Claude Opus 5won 1 · lost 11
Gemini 3.8 Flashwon 1 · lost 11
Llama 3.2 Vision (90B)won 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
Grok 3 Miniwon 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
Qwen2.5 72B Instructwon 0 · lost 11
GPT-4o miniwon 0 · lost 11
GPT-4 Turbowon 0 · lost 11
Claude 3.5 Sonnetwon 0 · lost 11
Grok 4.5won 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
O1won 0 · lost 12
Claude Sonnet 4won 0 · lost 12
GPT-4.1won 0 · lost 12
MiniMax M2.7won 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
GPT-5.6 Lunawon 0 · lost 12
GPT-5.1won 0 · lost 12
Grok 4.6won 0 · lost 12
Claude Sonnet 4.5won 0 · lost 12
Claude Sonnet 5won 0 · lost 12
DeepSeek V4 Prowon 0 · lost 12
GPT-5.6 Terrawon 0 · lost 12
MiMo V2.6 Prowon 0 · lost 12
GPT-5.5won 0 · lost 12
Claude Opus 4.8won 0 · lost 12
Qwen3.8 Maxwon 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 2026-11-10
LMArena Text 1290
Vals.ai ↗4 measuresread 2026-11-10
Vals · LegalBench 74.16%Vals · CorpFin 39.43%Vals · TaxEval 58.18%Vals · MedQA 68.11%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
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%

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