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Gemini 2.5 Flash-Lite

Google

Strongest in Factual grounding (#3 of 104), weakest in Human preference (#156 of 354). Above par in 7 of 20 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 4.8 and GPT-5.6 Terra and ahead of O3 Mini and DeepSeek V3.1.

§ 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.

Safety54.4#64/329
Factual grounding66.9#3/104
Safe-prompt compliance58.2#14/82
Fairness55.3#66/292
Harm refusal50#153/292
Knowledge48.9#130/197
Academic knowledge47.4#92/123
Agents49.7#133/298
Tool use49.3#38/81
Professional47.2#135/194
Legal52.9#70/173
Finance46.9#113/162
Medical43.7#124/149
Reasoning45.5#135/195
Science45.9#89/122
Mathematics43.6#114/152
Core abilities45.8#135/199
General intelligence44#126/178
Human preference54.3#156/354
Human preference54.3#156/354

§ 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 Gemini 2.5 Flash-Lite, left for the other.

Jamba 1.6 Miniwon 12 · lost 0
Jamba 1.6 Largewon 12 · lost 0
Command R+won 14 · lost 0
Llama 4 Scout Instructwon 20 · lost 0
GPT-4.1 nanowon 18 · lost 1
Llama 3.3 70B Instructwon 15 · lost 1
Gemini 1.5 Flashwon 13 · lost 1
GPT-4o miniwon 15 · lost 2
Gemini 2.0 Flashwon 15 · lost 2
Mistral Medium 3.5won 12 · lost 2
Gemini 1.5 Prowon 12 · lost 3
Claude 3.5 Haikuwon 11 · lost 3
Magistral Small 1.2won 10 · lost 3
Command Awon 14 · lost 5
Mistral Large 2.1won 10 · lost 4
Gemma 4 31Bwon 10 · lost 4
GPT-4owon 12 · lost 5
Mistral Medium 3.1won 8 · lost 5
GPT OSS 20Bwon 11 · lost 7
DeepSeek V3.1won 7 · lost 5
O3 Miniwon 9 · lost 7
Claude 3.5 Sonnetwon 7 · lost 7
GPT-5 nanowon 10 · lost 10
GPT-4.1 miniwon 9 · lost 10
DeepSeek V3won 9 · lost 10
GPT-5.4 nanowon 7 · lost 9
Gemini 3.5 Flash-Litewon 6 · lost 8
GPT OSS 120Bwon 8 · lost 11
Ling 3.0 Flashwon 5 · lost 7
GPT-5.4 miniwon 6 · lost 9
Claude Haiku 4.5won 7 · lost 11
Mistral Large 3won 6 · lost 10
Grok 4.3won 6 · lost 10
GLM-4.7won 5 · lost 9
MiniMax M3won 6 · lost 11
Kimi K2.6won 6 · lost 11
MiMo V2.5won 4 · lost 8
MiMo V2.5 Prowon 5 · lost 10
Grok 3won 6 · lost 12
DeepSeek R1won 6 · lost 12
DeepSeek V3.2won 6 · lost 13
MiniMax M2.7won 5 · lost 11
Gemini 3.1 Flash-Litewon 5 · lost 11
Gemini 3.5 Flashwon 5 · lost 11
Qwen3.5 Flashwon 4 · lost 9
Grok 4.20won 4 · lost 9
Kimi K2won 6 · lost 14
GLM-5.3 Flashwon 5 · lost 12
Inkling Smallwon 4 · lost 10
MiMo V2.6 Flashwon 4 · lost 10
Kimi K2.5won 5 · lost 13
GPT-6 Lunawon 4 · lost 11
GPT-6 Solwon 4 · lost 11
Grok 4won 5 · lost 14
GLM-4.6won 5 · lost 14
Claude 3.7 Sonnetwon 4 · lost 12
Qwen3.7 Maxwon 4 · lost 12
Gemini 3.6 Flashwon 4 · lost 12
O4 Miniwon 5 · lost 15
GPT-4.1won 5 · lost 15
Grok 3 Miniwon 4 · lost 13
Grok 4.1 Fastwon 4 · lost 13
DeepSeek V4 Flashwon 4 · lost 13
Inklingwon 4 · lost 13
GLM-5.2won 4 · lost 13
MiniMax M2.1won 3 · lost 10
Gemini 3 Flashwon 3 · lost 10
Mistral Large 4won 3 · lost 11
Qwen3.8 27Bwon 3 · lost 11
GPT-6 Astrawon 3 · lost 11
Gemini 2.5 Prowon 4 · lost 15
MiniMax M2.5won 3 · lost 12
O1won 3 · lost 12
GLM-5won 3 · lost 12
GLM-5.1won 3 · lost 12
Gemini 3.1 Prowon 3 · lost 12
Gemini 2.5 Flashwon 4 · lost 16
Qwen3 235B A22B Instructwon 4 · lost 16
Gemini 3 Prowon 4 · lost 16
GLM-4.5won 3 · lost 13
GPT-5.6 Lunawon 3 · lost 14
Claude Sonnet 4.6won 3 · lost 14
Claude Opus 4.6won 3 · lost 14
Claude Haiku 5.5won 2 · lost 10
Claude Opus 4won 3 · lost 15
DeepSeek V4 Prowon 3 · lost 15
GPT-5.6 Solwon 3 · lost 15
Claude Sonnet 4won 3 · lost 16
Qwen3.6 Pluswon 2 · lost 11
Claude Opus 4.1won 2 · lost 11
Gemini 4 Argonwon 2 · lost 11
GPT-5 miniwon 3 · lost 17
Kimi K2 Thinkingwon 2 · lost 12
MiMo V2.6 Prowon 2 · lost 12
Grok 4 Fastwon 2 · lost 13
Claude Opus 4.5won 2 · lost 15
Qwen3.8 Maxwon 2 · lost 15
Gemini 3.8 Flashwon 2 · lost 15
GPT-5.4won 2 · lost 16
Claude Opus 4.7won 2 · lost 16
O3won 2 · lost 17
GPT-5won 2 · lost 17
Claude Sonnet 4.5won 2 · lost 18
GPT-6.1 Solwon 1 · lost 11
Muse Sparkwon 1 · lost 11
Qwen3 Maxwon 1 · lost 12
DeepSeek V4.1 Flashwon 1 · lost 13
Claude Opus 5.5won 1 · lost 15
GPT-5.1won 1 · lost 16
GPT-5.5won 1 · lost 17
GPT-5.2won 1 · lost 18
Claude Sonnet 5.5won 0 · lost 12
Muse Spark 1.2won 0 · lost 12
Gemini 3.7 Flashwon 0 · lost 13
Grok 4.7won 0 · lost 14
GLM-5.3won 0 · lost 14
Kimi K3won 0 · lost 14
Claude Fable 5.1won 0 · lost 14
Claude Fable 5won 0 · lost 14
Claude Sonnet 5won 0 · lost 16
Claude Opus 5won 0 · lost 16
Muse Spark 1.1won 0 · lost 16
Grok 4.6won 0 · lost 17
Grok 4.5won 0 · lost 17
GPT-5.6 Terrawon 0 · lost 17
Claude Opus 4.8won 0 · lost 17

§ 3 · Sources

Where the numbers come from

6 publications, 19 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1375
BFCL ↗1 measureread 2026-11-10
BFCL v4 36.87%
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 40.5%
Vals.ai ↗10 measuresread 2026-11-10
Vals · LegalBench 82.04%Vals · CorpFin 57.58%Vals · TaxEval 64.72%Vals · MortgageTax 57.55%Vals · MedQA 88.87%Vals · MedCode 34.19%Vals · MedScribe 66.88%Vals · GPQA Diamond 70.2%Vals · MMLU Pro 79.12%Vals · AIME 42.08%
HELM Safety ↗5 measuresread 2026-11-10
HELM Safety · HarmBench 67%HELM Safety · SimpleSafetyTests 96.5%HELM Safety · Anthropic Red Team 98.7%HELM Safety · BBQ 94.9%HELM Safety · XSTest 97.8%
Vectara · Factual consistency 96.7%

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