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    Best Models for Translation

    Multilingual models with strong translation quality across major and low-resource languages — compared by price and context

    Compare
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    Input Price ($/M tokens)
    Output Price ($/M tokens)
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    17/258
    Models
    29/55
    Providers
    14
    Vision Models (filtered)
    16
    Tool-enabled (filtered)
    0
    Free Models (filtered)
    Features
    Alibaba Cloud(cn-beijing)
    deepseek-v4-flash
    $0.14$0.28$0.03
    Fireworks AI
    deepseek-v4-flash
    $0.14$0.28$0.03
    Alibaba Cloud(eu-frankfurt)
    deepseek-v4-flash
    $0.20$0.40$0.04
    Alibaba Cloud(us-virginia)
    deepseek-v4-flash
    $0.20$0.40$0.04
    DeepInfra
    deepseek-v4-flash
    $0.08$0.18$0.02
    Tundra
    kimi-k2.6
    $0.40$2.20$0.08
    Runware
    kimi-k2.6
    $0.60$0.42
    -30% off
    $3.05$2.13
    -30% off
    $0.13$0.09
    -30% off
    Nebius AI
    kimi-k2.6
    $0.95$4.00—
    CanopyWave
    kimi-k2.6
    $0.95$4.00$0.16
    NovitaAI
    kimi-k2.6
    $0.80$3.40$0.16
    Baidu
    kimi-k2.6
    $0.95$4.00$0.16
    Moonshot AI
    kimi-k2.6
    $0.95$4.00$0.16
    Gonka24
    kimi-k2.6
    $0.22$1.14$0.05
    Azure
    gpt-5.4-mini
    $0.75$4.50$0.07
    OpenAI
    gpt-5.4-mini
    $0.75$4.50$0.07
    OpenAI
    gpt-5.4
    $2.50$15.00$0.25
    Azure
    gpt-5.4
    $2.50$15.00$0.25
    Mistral AI
    mistral-large-2512
    $0.50$1.50—
    Quartz
    gemini-3.1-pro-preview
    $2.00$12.00$0.20
    Google Vertex AI
    gemini-3.1-pro-preview
    $2.00$12.00$0.20
    Iceberg
    gemini-3.1-pro-preview
    $2.00$12.00$0.20
    Google AI Studio
    gemini-3.1-pro-preview
    $2.00$12.00$0.20
    ByteDance
    seed-1-8-251228
    $0.25$2.00$0.05
    AWS Bedrock(jp)
    claude-haiku-4-5
    $1.10$5.50$0.11
    AWS Bedrock
    claude-haiku-4-5
    $1.00$5.00$0.10
    AWS Bedrock(au)
    claude-haiku-4-5
    $1.10$5.50$0.11
    AWS Bedrock(us)
    claude-haiku-4-5
    $1.10$5.50$0.11
    Vertex AI (Anthropic)
    claude-haiku-4-5
    $1.00$5.00$0.10
    AWS Bedrock(apac)
    claude-haiku-4-5
    $1.00$5.00$0.10
    AWS Bedrock(eu)
    claude-haiku-4-5
    $1.10$5.50$0.11
    Anthropic
    claude-haiku-4-5
    $1.00$5.00$0.10
    AWS Bedrock(global)
    claude-haiku-4-5
    $1.00$5.00$0.10
    Nebius AI
    qwen3-235b-a22b-instruct-2507
    $0.20$0.60—
    Vertex AI (OpenAI-compatible)
    qwen3-235b-a22b-instruct-2507
    $0.22$0.88—
    Cerebras
    qwen3-235b-a22b-instruct-2507
    $0.60$1.20—
    NovitaAI
    qwen3-235b-a22b-instruct-2507
    $0.09$0.58—
    Page 2 of 2

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    © 2026 LLM Gateway. All rights reserved.

    Modern LLMs now rival dedicated translation engines for most language pairs — and beat them on context awareness, tone, terminology consistency, and formatting. The strongest multilingual models are Google's Gemini line, OpenAI's GPT-5.4, Anthropic's Claude, and Alibaba's Qwen, which is particularly strong on Chinese and other Asian languages.

    Long context windows also change how translation work gets done: instead of translating strings in isolation, you can put an entire document plus a glossary into one prompt and keep terminology consistent throughout. For bulk workloads, budget models like Gemini Flash-Lite and DeepSeek V4 Flash bring the cost per translated word down to fractions of a cent.

    Frequently asked questions

    What is the best LLM for translation?

    Gemini 3.1 Pro and GPT-5.4 deliver the most consistent quality across a broad set of language pairs. Qwen3.7 Max is a top pick for Chinese, Japanese, and Korean, and Claude Sonnet 5 excels when tone and nuance matter. For bulk work, Gemini 2.5 Flash-Lite and DeepSeek V4 Flash offer the best cost per word.

    Are LLMs better than Google Translate or DeepL?

    For most content, yes — LLMs follow style guides, preserve formatting and placeholders, keep terminology consistent across a document, and adapt register on request. Dedicated engines still win on raw speed and per-character price for very simple, high-volume strings.

    How do I translate long documents?

    Use a long-context model and send the whole document in one call: a million-token window fits roughly 750,000 words, and single-call translation keeps names and terminology consistent. If a document exceeds the window, chunk it and include a running glossary in each prompt.

    Which models handle low-resource languages best?

    Coverage drops for languages with little training data. Gemini Pro and GPT-5.4 generally hold up best, but always test with your actual language pair before committing volume — with one API key you can run the same text through several models in minutes and compare.

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