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Jamba 1.5 Mini

AI21

Strongest in Secure code (#46 of 270), weakest in Human preference (#268 of 354). Above par in 2 of 12 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Opus 5 and ahead of Qwen3 30B A3B Instruct and GPT-3.5 Turbo.

§ 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.

Professional36.6#191/194
Medical34.9#138/149
Legal41.1#148/173
Finance30#160/162
Safety47.2#245/329
Secure code61.9#46/270
Jailbreak resistance50.3#175/268
Fairness43.5#227/292
Toxicity avoidance39.2#241/268
Harm refusal44.7#247/292
Human preference41.3#268/354
Human preference41.3#268/354

§ 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 Mini, left for the other.

OLMo 7B Instructwon 7 · lost 1
SmolLM2 1.7B Instructwon 7 · lost 1
Gemma 2B ITwon 6 · lost 2
Zephyr 7B Betawon 6 · lost 2
Gemma 7B ITwon 6 · lost 2
Nous Hermes 2 Mixtral 8x7B DPOwon 6 · lost 2
Qwen1.5 14B Chatwon 6 · lost 2
DBRX Instructwon 6 · lost 2
Mixtral 8x7B Instructwon 7 · lost 4
DeepSeek LLM 67B Chatwon 5 · lost 3
GPT-3.5 Turbowon 5 · lost 3
Qwen3 30B A3B Instructwon 5 · lost 3
Llama 3.2 1B Instructwon 4 · lost 4
Mistral 7B Instruct v0.2won 4 · lost 4
Granite 3.0 2B 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
Granite 3.1 8B Instructwon 4 · lost 4
Llama 3.1 Tulu 3 8Bwon 4 · lost 4
Llama 3 8B Instructwon 4 · lost 4
Magistral Mediumwon 4 · lost 4
Llama 2 13B Chatwon 5 · lost 5
Llama 3.1 8B Instructwon 5 · lost 6
Grok 4.1 Fastwon 5 · lost 6
Grok 3won 5 · lost 7
Magistral Small 1.2won 4 · lost 6
Ling 3.0 Flashwon 4 · lost 6
Llama 2 7B Chatwon 4 · lost 6
Llama 2 70B Chatwon 4 · lost 6
Phi-3 Mini 128K Instructwon 3 · lost 5
Phi-3 Mini 4K Instructwon 3 · lost 5
Granite 3.0 8B Instructwon 3 · lost 5
Phi-3 Medium 4K Instructwon 3 · lost 5
Aya Expanse 8Bwon 3 · lost 5
Command R+won 4 · lost 7
Gemini 1.5 Flashwon 4 · lost 7
Command Awon 4 · lost 8
Grok 4won 4 · lost 8
DeepSeek R1won 4 · lost 8
GLM-4.6won 4 · lost 8
MiMo V2.6 Flashwon 4 · lost 8
Gemini 3.5 Flashwon 4 · lost 8
Jamba 1.6 Miniwon 3 · lost 7
Mixtral 8x22B Instructwon 3 · lost 7
Gemma 2 9B ITwon 3 · lost 7
Llama 3.1 70B Instructwon 3 · lost 8
Gemma 4 31Bwon 3 · lost 8
Qwen 2.5 Instruct (7B)won 2 · lost 6
Claude 3 Haikuwon 2 · lost 6
Mistral Small 3 24B Instructwon 2 · lost 6
QwQ 32Bwon 2 · lost 6
Qwen3 VL 235B A22B Instructwon 2 · lost 6
Gemma 4 26B A4Bwon 2 · lost 6
GPT OSS 20Bwon 3 · lost 9
GLM-4.5won 3 · lost 9
DeepSeek V4 Flashwon 3 · lost 9
Grok 4.3won 3 · lost 9
GLM-5.2won 3 · lost 9
Gemini 3.6 Flashwon 3 · lost 9
Jamba 1.6 Largewon 2 · lost 8
Llama 3.3 70B Instructwon 2 · lost 9
DeepSeek V3.1won 2 · lost 9
Jamba 1.5 Largewon 2 · lost 10
Llama 4 Scout Instructwon 2 · lost 10
GPT-4.1 nanowon 2 · lost 10
Llama 4 Maverick Instructwon 2 · lost 10
DeepSeek V3won 2 · lost 10
Gemini 2.5 Flashwon 2 · lost 10
Kimi K2won 2 · lost 10
Mistral Large 4won 2 · lost 10
DeepSeek V3.2won 2 · lost 10
NVIDIA Nemotron 3 Ultra 550B A55Bwon 2 · lost 10
MiniMax M3won 2 · lost 10
Gemini 2.5 Prowon 2 · lost 10
Kimi K2.6won 2 · lost 10
MiMo V2.5 Prowon 2 · lost 10
GLM-5.3 Flashwon 2 · lost 10
Llama 3.2 Vision (11B)won 1 · lost 7
Llama 3.2 Vision (90B)won 1 · lost 7
Amazon Nova Microwon 1 · lost 7
Phi 4won 1 · lost 7
Amazon Nova Litewon 1 · lost 7
Qwen2 72B Instructwon 1 · lost 7
Aya Expanse 32Bwon 1 · lost 7
GPT-4won 1 · lost 7
Llama 3 70B Instructwon 1 · lost 7
Claude 3 Sonnetwon 1 · lost 7
Granite 4.0 H Smallwon 1 · lost 7
Amazon Nova Prowon 1 · lost 7
Llama 3.1 Nemotron 70B Instructwon 1 · lost 7
Gemma 3 4B ITwon 1 · lost 7
Qwen Maxwon 1 · lost 7
Claude 3 Opuswon 1 · lost 7
Gemma 3 12B ITwon 1 · lost 7
Mercury 2won 1 · lost 7
MiniMax M2won 1 · lost 7
Gemini 2.0 Flash-Litewon 1 · lost 7
NVIDIA Nemotron 3 Super 120B A12Bwon 1 · lost 7
Gemma 3 27B ITwon 1 · lost 7
Qwen3.5 35B A3Bwon 1 · lost 7
Qwen3.5 27Bwon 1 · lost 7
Qwen3.5 122B A10Bwon 1 · lost 7
Kimi K2 Thinkingwon 1 · lost 9
O1 Miniwon 1 · lost 9
Claude Sonnet 4.6won 1 · lost 9
Claude Opus 4.6won 1 · lost 9
Qwen2.5 72B Instructwon 1 · lost 10
GPT-4o miniwon 1 · lost 10
Claude 3.5 Haikuwon 1 · lost 10
GPT-4 Turbowon 1 · lost 10
Llama 3.1 405B Instructwon 1 · lost 10
Claude 3.5 Sonnetwon 1 · lost 10
Qwen3.7 Maxwon 1 · lost 10
GPT-4owon 1 · lost 11
GPT-5 nanowon 1 · lost 11
Gemini 1.5 Prowon 1 · lost 11
GPT OSS 120Bwon 1 · lost 11
Gemini 2.0 Flashwon 1 · lost 11
O3 Miniwon 1 · lost 11
GPT-4.1 miniwon 1 · lost 11
Claude 3.7 Sonnetwon 1 · lost 11
O4 Miniwon 1 · lost 11
O1won 1 · lost 11
Claude Sonnet 4won 1 · lost 11
Claude Haiku 4.5won 1 · lost 11
GPT-4.1won 1 · lost 11
Qwen3 235B A22B Instructwon 1 · lost 11
Claude Opus 4won 1 · lost 11
GPT-6 Lunawon 1 · lost 11
Kimi K2.5won 1 · lost 11
Claude Sonnet 4.5won 1 · lost 11
GPT-6 Solwon 1 · lost 11
DeepSeek V4 Prowon 1 · lost 11
GLM-5.1won 1 · lost 11
MiMo V2.6 Prowon 1 · lost 11
Claude Opus 4.8won 1 · lost 11
Muse Spark 1.1won 1 · lost 11
Gemini 3.8 Flashwon 1 · lost 11
Claude Opus 4.7won 1 · lost 11
Qwen3.5 397B A17Bwon 0 · lost 8
Grok 3 Miniwon 0 · lost 9
Gemini 2.5 Flash-Litewon 0 · lost 9
Gemini 3 Prowon 0 · lost 9
Gemma 2 27B ITwon 0 · lost 10
Claude Sonnet 5won 0 · lost 11
GPT-5 miniwon 0 · lost 12
MiniMax M2.7won 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
GPT-5.6 Lunawon 0 · lost 12
GPT-5.1won 0 · lost 12
Grok 4.6won 0 · lost 12
Grok 4.5won 0 · lost 12
GPT-5.6 Terrawon 0 · lost 12
GPT-5.4won 0 · lost 12
GPT-5.5won 0 · lost 12
Qwen3.8 Maxwon 0 · lost 12
GPT-5.6 Solwon 0 · lost 12
Claude Opus 5won 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 1240
Vals.ai ↗4 measuresread 2026-11-10
Vals · LegalBench 66.62%Vals · CorpFin 33.88%Vals · TaxEval 41.86%Vals · MedQA 55.18%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 12.6%Enkrypt · Harmful content risk 61.7%Enkrypt · CBRN risk 14%Enkrypt · Toxicity risk 13.6%Enkrypt · Bias risk 87.9%Enkrypt · Insecure code risk 8.9%

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