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Jamba 1.6 Mini

AI21

Strongest in Legal (#112 of 151), weakest in Safety (#278 of 337). Above par in 1 of 15 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5.5 and GPT-5.4 and ahead of Jamba 1.5 Mini.

§ 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.

Knowledge30#138/138
Academic knowledge26#123/123
Professional36.4#165/168
Legal43.5#112/151
Medical33.5#132/140
Finance30#148/151
Reasoning33.6#177/178
Science26.1#121/122
Mathematics32.9#137/140
Safety45.8#278/337
Jailbreak resistance52.7#148/272
Harm refusal46.5#214/300
Fairness43.9#224/300
Toxicity avoidance46.4#225/272
Secure code36.8#231/274

§ 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 1.6 Mini, left for the other.

Jamba 1.5 Miniwon 7 · lost 3
Command R Pluswon 5 · lost 8
Mimo V2.6 Flashwon 4 · lost 7
DeepSeek R1won 5 · lost 9
Grok 4.1 Fastwon 5 · lost 10
Gemini 1.5 Flashwon 4 · lost 10
Ling 3.0 Flashwon 4 · lost 10
Grok 3won 4 · lost 11
Gemma 4 31Bwon 3 · lost 9
Command Awon 3 · lost 12
Llama 4 Scout Instructwon 3 · lost 12
MiniMax M3won 3 · lost 12
DeepSeek V3won 3 · lost 12
GPT OSS 120Bwon 3 · lost 12
GPT OSS 20Bwon 3 · lost 12
Gemini 3.6 Flashwon 3 · lost 12
Grok 4won 3 · lost 12
Mistral Largewon 2 · lost 12
Jamba 1.6 Largewon 2 · lost 13
Gemini 1.5 Prowon 2 · lost 13
GLM-5.3 Flashwon 2 · lost 13
Kimi K2won 2 · lost 13
Mimo V2.5 Prowon 2 · lost 13
Kimi K2.6won 2 · lost 13
GLM-5.2won 2 · lost 13
DeepSeek V3.2won 2 · lost 13
GLM-4.5won 2 · lost 13
Kimi K2.5won 2 · lost 13
Qwen3.7 Maxwon 2 · lost 13
GLM-4.6won 2 · lost 13
Gemini 3.5 Flashwon 2 · lost 13
DeepSeek V4 Flashwon 2 · lost 13
Mistral Small 3.1won 1 · lost 8
Mistral Medium 3.5won 1 · lost 8
Gemini 3.5 Flash Litewon 1 · lost 8
GPT-5.4 Miniwon 1 · lost 8
Mimo V2.5won 1 · lost 8
Magistral Small 1.2won 1 · lost 8
Magistral Medium 1.2won 1 · lost 8
Grok 4.20won 1 · lost 8
Jamba 1.5 Largewon 1 · lost 9
GPT-5.4 Nanowon 1 · lost 9
Grok 4 Fastwon 1 · lost 9
Gemini 3.1 Flash Litewon 1 · lost 9
GPT-6 Lunawon 1 · lost 11
GPT-6 Solwon 1 · lost 11
GPT-4o Miniwon 1 · lost 13
Mistral Smallwon 1 · lost 13
GPT-4.1 Nanowon 1 · lost 14
Grok 4.3won 1 · lost 14
GPT-4.1 Miniwon 1 · lost 14
Gemini 2.5 Flashwon 1 · lost 14
Qwen3 235B A22B Instructwon 1 · lost 14
GPT-5 Nanowon 1 · lost 14
Kimi K2 Thinkingwon 1 · lost 14
Gemini 2.5 Prowon 1 · lost 14
GLM-5.1won 1 · lost 14
Gemini 3.8 Flashwon 1 · lost 14
GPT-5.6 Solwon 1 · lost 14
Claude Opus 5won 1 · lost 14
O1 Miniwon 0 · lost 9
Inkling Smallwon 0 · lost 9
Qwen3.8 27Bwon 0 · lost 9
DeepSeek V4won 0 · lost 9
Qwen3.6 Pluswon 0 · lost 9
MiniMax M2.1won 0 · lost 9
Grok 3 Miniwon 0 · lost 9
MiniMax M2.5won 0 · lost 9
GLM-4.7won 0 · lost 9
GLM-5.3won 0 · lost 9
Qwen3 Maxwon 0 · lost 9
Kimi K3won 0 · lost 9
Muse Sparkwon 0 · lost 9
Gemini 3.7 Flashwon 0 · lost 9
Claude Fable 5won 0 · lost 9
Claude Fable 5.1won 0 · lost 9
Mistral Large 3won 0 · lost 10
GPT-4 Turbowon 0 · lost 10
GLM-5won 0 · lost 10
Claude Opus 4.1won 0 · lost 10
Claude Opus 4.5won 0 · lost 10
Qwen3.5 Flashwon 0 · lost 10
Qwen 3.5 Pluswon 0 · lost 10
Gemini 3 Flashwon 0 · lost 10
Gemini 3.1 Prowon 0 · lost 10
Mimo V2.6 Prowon 0 · lost 11
Gemini 2.5 Flash Litewon 0 · lost 12
Grok 4.7won 0 · lost 12
Gemini 3 Prowon 0 · lost 12
Claude Opus 5.5won 0 · lost 12
Claude Sonnet 4.6won 0 · lost 13
Claude Opus 4.6won 0 · lost 13
Claude 3.5 Haikuwon 0 · lost 14
Claude 3.5 Sonnetwon 0 · lost 14
GPT-4owon 0 · lost 15
Gemini 2.0 Flashwon 0 · lost 15
GPT-4.1won 0 · lost 15
Inklingwon 0 · lost 15
O3 Miniwon 0 · lost 15
Claude Opus 4won 0 · lost 15
Claude 3.7 Sonnetwon 0 · lost 15
O4 Miniwon 0 · lost 15
O1won 0 · lost 15
Claude Sonnet 4won 0 · lost 15
Claude Haiku 4.5won 0 · lost 15
GPT-5 Miniwon 0 · lost 15
O3won 0 · lost 15
Claude Sonnet 4.5won 0 · lost 15
GPT-5.6 Lunawon 0 · lost 15
Muse Spark 1.1won 0 · lost 15
GPT-5won 0 · lost 15
GPT-5.1won 0 · lost 15
Grok 4.5won 0 · lost 15
GPT-5.2won 0 · lost 15
DeepSeek V4 Prowon 0 · lost 15
MiniMax M2.7won 0 · lost 15
Qwen3.8 Maxwon 0 · lost 15
Claude Sonnet 5won 0 · lost 15
Claude Opus 4.7won 0 · lost 15
GPT-5.6 Terrawon 0 · lost 15
Grok 4.6won 0 · lost 15
Claude Opus 4.8won 0 · lost 15
GPT-5.4won 0 · lost 15
GPT-5.5won 0 · lost 15

§ 3 · Sources

Where the numbers come from

2 publications, 13 figures. Every one links to the page it was read from.

Vals.ai ↗7 measuresread 2026-09-26
Vals · LegalBench 69.73%Vals · CorpFin 38.03%Vals · TaxEval 44.6%Vals · MedQA 52.52%Vals · GPQA Diamond 32.07%Vals · MMLU Pro 30.28%Vals · AIME 0.42%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 10.5%Enkrypt · Harmful content risk 61.7%Enkrypt · CBRN risk 8.8%Enkrypt · Toxicity risk 8.8%Enkrypt · Bias risk 87.3%Enkrypt · Insecure code risk 60.4%

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