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Best LLM for Multilingual Support

Ranked models for handling multilingual support conversations with cultural awareness and clarity.

#1 Recommendation

gemini-2.5-flash

Strong on LanguageBench overall:mean (100%) and FACTS Benchmark Suite facts_grounding_score_pct (90%)

external/google/gemini-2-5-flash

24.7%

Score

33.8%

Confidence

19

Evidence

Runners-up:#2 gemini-2.5-pro (23.1%)#3 gemini-3-pro-preview (22.6%)#4 gpt-4.1-20250414 (21.7%)

Ranked Models

30

Evidence Quality

80%

Scoring

Benchmark-backed

Top Signal

LanguageBench: overall:mean

All Ranked Models

Max params:
Min confidence:
30 of 30
RankModelScore
#1gemini-2.5-flash

Strong on LanguageBench overall:mean (100%) and FACTS Benchmark Suite facts_grounding_score_pct (90%)

24.7%
#2gemini-2.5-pro

Strong on FACTS Benchmark Suite facts_grounding_score_pct (100%) and Vectara HHEM Leaderboard overall_hallucination_error_pct (76%)

23.1%
#3gemini-3-pro-preview

Strong on FACTS Benchmark Suite facts_grounding_score_pct (88%) and FACTS Benchmark Suite facts_search_score_pct (100%)

22.6%
#4gpt-4.1-20250414
21.7%
#6gpt-5-mini-2025-08-07
17.9%
#7gpt-5-2025-08-07
17.3%
#8anthropic/claude-sonnet-4.6
17.0%
#10Grok-4-0709
16.5%
#11google/gemini-3.1-pro-preview
14.9%
#12openai/gpt-5.4-2026-03-05
14.7%
#13openai/gpt-4.1
14.7%
#16claude-sonnet-4-20250514
14.0%
#17google/gemini-2.0-flash-001
13.8%
#18claude-opus-4-5-20251101
13.5%
#19gpt-5.1-2025-11-13
12.9%
#20gpt-4.1-mini-20250414
12.4%
#22google/gemini-3.1-flash-lite-preview
12.3%
#25gemini-3-flash-preview
12.1%
#27xai-org/grok-4-fast-reasoning
11.9%
#34Qwen3-Embedding-4B
11.5%
#44xai-org/grok-4-1-fast-reasoning
11.2%
#50gpt-5.2-2025-12-11
10.9%
#53phi-4
10.7%
#58anthropic/claude-opus-4-6-thinking
10.6%
#80kimi/kimi-k2.5-thinking
9.9%
#91anthropic/claude-opus-4-5-20251101-thinking
9.7%
#102Llama-3.3-70B-Instruct
9.6%
#107x-ai/grok-3
9.5%
#112Llama-3.1-70B-Instruct
9.4%
#121anthropic/claude-sonnet-4-5-20250929-thinking
9.3%

Head-to-Head: #1 vs #2

#1

Top Pick

gemini-2.5-flash

Strong on LanguageBench overall:mean (100%) and FACTS Benchmark Suite facts_grounding_score_pct (90%)

24.7%

Conf 33.8%

#2

gemini-2.5-pro

Strong on FACTS Benchmark Suite facts_grounding_score_pct (100%) and Vectara HHEM Leaderboard overall_hallucination_error_pct (76%)

23.1%

Conf 45.7%

Full Comparison with Benchmark Evidence →
Full Use-Case PageBrowse All Use CasesHow We Score

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