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Best AI for Document Translation 2026

Business documents

Based on 6,971 user reviews
Updated on 2026-03-09
5 models ranked

🤖 Model Rankings

1Anthropic
Claude Opus 4.6
Anthropic
Samples
2,289
91

Anthropic's flagship model with 1M token context (beta), adaptive thinking, and the highest agentic coding scores. Introduced Agent Teams for parallel autonomous coding. Nearly doubled ARC-AGI-2 score over Opus 4.5 (68.8% vs 37.6%).

+ Highest SWE-bench score (80.8%)+ 128K max output (doubled from 4.5)2x price of GPT-5.4
2Google
Gemini 3.1 Pro
Google
Samples
1,089
90

Google's most advanced Pro-tier model with 1M context, dynamic thinking, and the highest ARC-AGI-2 score (77.1%) among all models. Excels at multimodal reasoning across text, images, audio, and video. Best price-to-performance ratio among frontier models.

+ Cheapest frontier model ($2/$12)+ Highest ARC-AGI-2 score (77.1%)Weaker at agentic tasks
3Anthropic
Claude Sonnet 4.6
Anthropic
Samples
1,456
87

Anthropic's most capable Sonnet yet. 1M context window (beta), 30-50% faster than Sonnet 4.5, approaching Opus-level intelligence at 1/3 the cost. Default model on claude.ai. Excels at coding, computer use, agent planning, and long-context reasoning.

+ 1M context window (beta)+ Near-Opus intelligence at Sonnet price1M context still in beta
4ByteDance
Doubao Pro
ByteDance
Samples
892
87

ByteDance's flagship AI model powering Doubao Phone Assistant. Deeply integrated with mobile OS for AI agent capabilities. Ultra-cheap API pricing makes it popular for OpenClaw users in China seeking 24/7 agent operation.

+ Ultra-cheap pricing ($0.15/1M input)+ Deep mobile OS integrationLimited availability outside China
5MiniMax
MiniMax M2.5
MiniMax
Samples
1,245
84

MiniMax's flagship model with exceptional agentic capabilities at ultra-low cost. Demonstrates outstanding planning and stable execution of complex tool-calling tasks. One of the most capable AI agents available at a fraction of Claude/GPT pricing.

+ Extremely cheap ($0.20/1M input)+ Strong tool calling & function callingLess known in Western markets

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