Best AI models for coding and technical writing

What the ranking measures

Technical text fails in a quiet way: it reads well and is wrong. So the order rewards how each model handles structure, terminology and step-by-step content. The rate per thousand words sits beside each one. Qwen3 Coder is first as the default for technical guides. DeepSeek V4 is second for reasoning chains at a low rate.

GPT-5.5 is third for the most literal instruction following. Claude Sonnet 5 is fourth, for technical pieces that must also read well. GPT-OSS 120B is fifth: open weights and the lowest rate, for volume work.

When to pick Qwen3 Coder, and when to go cheaper or pricier

Start with Qwen3 Coder at 8 credits per thousand words for integration docs, setup guides and API walkthroughs. It is not meant for marketing copy, so a launch announcement belongs elsewhere. Move up to GPT-5.5 at 47 credits when a strict template must be followed to the letter. A changelog format a client already uses is one example.

Use Claude Sonnet 5 at 16 credits when a tutorial doubles as writing people read end to end. Drop to GPT-OSS 120B for hundreds of short reference entries where a reviewer checks everything anyway. Accept that it is weaker than the closed models.

Costs for a guide and a long tutorial

An 800-word guide is billed as a thousand words. It costs 8 credits on Qwen3 Coder (about $0.09) and 16 on Claude Sonnet 5. The same guide is 47 on GPT-5.5 (about $0.50) and 1 on GPT-OSS 120B. A two-thousand-word tutorial costs 16 credits on Qwen3 Coder and 32 on Claude Sonnet 5 (about $0.34). The same tutorial is 94 on GPT-5.5 (about $1) and 2 on GPT-OSS 120B.

DeepSeek V4 costs 2 credits per thousand words, which puts a long tutorial at 4 credits.

A one-brief test for two models

Open the AI Article Generator and leave the preset aside for this one. Technical text needs your own structure. Give both models the same brief. "Write a setup guide for sending form submissions to a Postgres table through a webhook. Numbered steps, one code block per step, a short troubleshooting section, no marketing tone." Run it on Qwen3 Coder and on GPT-OSS 120B.

Then check what matters. Do the code blocks run, and do table and column names stay the same from step to step? Does the troubleshooting section answer real errors? The cheaper model wins only if you would publish it after the same amount of review.

Outside the scope of this list

This list covers writing about code, through the article and ebook tools. It does not rank models for running or debugging code. It also skips brand and ad copy, which the writing list handles.

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