Writing · best for
Best AI model for Email Drafting (2026)
Cold emails, replies, and outreach at the right tone. Ranked from 346 live models on the OpenRouter catalog, weighted for low cost, low latency, reasoning quality.
| # | Model | Score | In / 1M | Out / 1M | Context | |
|---|---|---|---|---|---|---|
| 1 | Auto Routeropenrouter/auto | 400120 | $-1000000.00 | $-1000000.00 | 2,000,000 | Try → |
| 2 | Pareto Code Routeropenrouter/pareto-code | 400116 | $-1000000.00 | $-1000000.00 | 200,000 | Try → |
| 3 | Body Builder (beta)openrouter/bodybuilder | 400116 | $-1000000.00 | $-1000000.00 | 128,000 | Try → |
| 4 | Google: Gemma 4 26B A4B (free)google/gemma-4-26b-a4b-it:free | 120 | Free | Free | 262,144 | Try → |
| 5 | Google: Gemma 4 31B (free)google/gemma-4-31b-it:free | 120 | Free | Free | 262,144 | Try → |
| 6 | Qwen: Qwen3.5-9Bqwen/qwen3.5-9b | 120 | $0.10 | $0.15 | 262,144 | Try → |
| 7 | Google: Gemma 4 26B A4B google/gemma-4-26b-a4b-it | 119 | $0.07 | $0.35 | 262,144 | Try → |
| 8 | Google: Gemma 4 31Bgoogle/gemma-4-31b-it | 119 | $0.13 | $0.38 | 262,144 | Try → |
| 9 | ByteDance Seed: Seed-2.0-Minibytedance-seed/seed-2.0-mini | 119 | $0.10 | $0.40 | 262,144 | Try → |
| 10 | Qwen: Qwen3.5-Flashqwen/qwen3.5-flash-02-23 | 119 | $0.07 | $0.26 | 1,000,000 | Try → |
| 11 | ByteDance Seed: Seed 1.6 Flashbytedance-seed/seed-1.6-flash | 119 | $0.07 | $0.30 | 262,144 | Try → |
| 12 | xAI: Grok 4.1 Fastx-ai/grok-4.1-fast | 119 | $0.20 | $0.50 | 2,000,000 | Try → |
| 13 | Google: Gemini 2.5 Flash Lite Preview 09-2025google/gemini-2.5-flash-lite-preview-09-2025 | 119 | $0.10 | $0.40 | 1,048,576 | Try → |
| 14 | xAI: Grok 4 Fastx-ai/grok-4-fast | 119 | $0.20 | $0.50 | 2,000,000 | Try → |
| 15 | OpenAI: GPT-5 Nanoopenai/gpt-5-nano | 119 | $0.05 | $0.40 | 400,000 | Try → |
How we ranked these
For Email Drafting, we weight models on low cost, low latency, reasoning quality. Higher means better. Scores combine OpenRouter's model metadata (context length, modality support, tool calling, structured output, reasoning capability) with public pricing. See full methodology →
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