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Multilingual AI Model Benchmark - Compare Leading LLMs by Language

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrape
Intelligence
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This profile does not provide this metric.

Speed
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Latency
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Input Price
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Output Price
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Decision Overview

Ethen's intelligence-driven routing assessment for this model

Overall verdict

General purpose assistant

Route complex or high-value tasks here when the extra capability justifies the cost.

Best for

    Weak or unsuitable

    • See model-fit matrix below

    Routing recommendation

    1

    Review quality flags before production deployment

    Cost pressure

    Pricing data not available for automated cost analysis.

    Highlights

    Key benchmark results at a glance.

    Speed

    Speed position

    Open section

    Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

    Higher throughput supports faster interactive use.

    088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Llama 4 Maverick: 118118MLlama 4 MaverickMiniMax-M2.5: 8686?MiniMax-M2.5MiniMax-M2.1: 7878?MiniMax-M2.1Claude Opus 4.5: 6161AClaude Opus 4.5Claude 4.5 Sonnet: 5151AClaude 4.5 SonnetMagistral Medium 1.2: 4040?Magistral Medium 1.2

    Speed & Throughput

    Output tokens per second and generation throughput.

    Output Speed

    Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

    Source and methodology are summarized below

    Chart source and provenance are listed in Methodology & sources below.

    088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Llama 4 Maverick: 118118MLlama 4 MaverickMiniMax-M2.5: 8686?MiniMax-M2.5MiniMax-M2.1: 7878?MiniMax-M2.1Claude Opus 4.5: 6161AClaude Opus 4.5Claude 4.5 Sonnet: 5151AClaude 4.5 SonnetMagistral Medium 1.2: 4040?Magistral Medium 1.2

    Latency & Response Time

    Time to first token and end-to-end response latency.

    End-to-End Response Time

    Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · Evaluation results measured independently by Artificial Analysis

    Source and methodology are summarized below

    Chart source and provenance are listed in Methodology & sources below.

    0s15s30s45s60sMagistral Medium 1.2: 13s13s?Magistral Medium 1.2Claude 4.5 Sonnet: 9.8s9.8sAClaude 4.5 SonnetClaude Opus 4.5: 8.2s8.2sAClaude Opus 4.5MiniMax-M2.1: 6.4s6.4s?MiniMax-M2.1MiniMax-M2.5: 5.8s5.8s?MiniMax-M2.5Llama 4 Maverick: 4.2s4.2sMLlama 4 Maverickgpt-oss-120b (high): 1.6s1.6sAIgpt-oss-120b (high)

    Latency: Time To First Answer Token

    Seconds to first answer token received · Accounts for reasoning model 'thinking' time · Evaluation results measured independently by Artificial Analysis

    Source and methodology are summarized below

    Chart source and provenance are listed in Methodology & sources below.

    0s15s30s45s60sMagistral Medium 1.2: 51s51s?Magistral Medium 1.2MiniMax-M2.1: 26s26s?MiniMax-M2.1MiniMax-M2.5: 23s23s?MiniMax-M2.5gpt-oss-120b (high): 6.4s6.4sAIgpt-oss-120b (high)Llama 4 Maverick: 0s0sMLlama 4 MaverickClaude 4.5 Sonnet: 0s0sAClaude 4.5 SonnetClaude Opus 4.5: 0s0sAClaude Opus 4.5

    Context, Cost & Pricing

    Context window size, cost per task, and token pricing.

    Pricing: Cache Hit, Input, and Output

    Price (USD per M Tokens) · Evaluation results measured independently by Artificial Analysis

    Source and methodology are summarized below

    Chart source and provenance are listed in Methodology & sources below.

    0250k500k750k1MGrok 4: 3333xGrok 4Claude Opus 4.5: 3131AClaude Opus 4.5Claude 4.5 Sonnet: 1818AClaude 4.5 SonnetGPT-5.2 (medium): 1717AIGPT-5.2 (medium)Gemini 3 Pro Preview (high): 1414GGemini 3 Pro Preview (hi…Magistral Medium 1.2: 77?Magistral Medium 1.2MiniMax-M2.5: 1.51.5?MiniMax-M2.5MiniMax-M2.1: 1.51.5?MiniMax-M2.1Llama 4 Maverick: 1.51.5MLlama 4 Maverickgpt-oss-120b (high): 0.90.9AIgpt-oss-120b (high)inputoutputcache Hit

    Additional Benchmarks

    Further benchmark and comparison data.

    Multilingual Index Across Languages (Normalized)

    Scores are normalized per language across all models tested, where green represents the highest score for that language and red represents the lowest score for that language. · Evaluation results measured independently by Artificial Analysis

    Source and methodology are summarized below

    Chart source and provenance are listed in Methodology & sources below.

    00.51Gemini 3 Pro Preview (high): 00GGemini 3 Pro Preview (hi…Claude Opus 4.5: 00AClaude Opus 4.5GPT-5.2 (medium): 00AIGPT-5.2 (medium)Grok 4: 00xGrok 4Claude 4.5 Sonnet: 00AClaude 4.5 SonnetDeepSeek V3.2: 00DDeepSeek V3.2MiniMax-M2.5: 00?MiniMax-M2.5MiniMax-M2.1: 00?MiniMax-M2.1gpt-oss-120b (high): 00AIgpt-oss-120b (high)Llama 4 Maverick: 00MLlama 4 Maverick

    Specifications

    Technical Specifications

    Compare the multilingual performance, pricing, and speed of leading AI language models. See how top LLMs like Gemini 3.1 Pro Preview, Gemini 3 Pro Preview (high), and Claude Opus 4.6 (max) perform across many languages.

    Methodology & Provenance

    This page is rendered from the normalized profile and page JSON for Multilingual AI Model Benchmark - Compare Leading LLMs by Language.

    Benchmark values are preserved as normalized; only layout, disclosure ordering, and typography are adjusted for readability.