# Hemmingway-1

> A 27B open-weight writing model fine-tuned from Qwen3.8-27B for everyday messages and emails, released September 2026 under CC BY-NC 4.0.

- Maker: Hemmingway (Altworld)
- Line: Hemmingway
- Canonical page: https://ai-tldr.dev/models/hemmingway-1/
- Updated: 2026-09-25

## In short

Hemmingway-1 is a 27B-parameter model from Hemmingway, published on Hugging Face under the Altworld organisation on September 20, 2026. It is built on Qwen3.8-27B and tuned for the writing people do every day: text messages, emails, the awkward note to a colleague. It has a 262,144-token context window and costs $0.24 per million input tokens and $0.90 per million output tokens. You can use it through Hemmingway API and Hugging Face (weights).

## Facts

| Fact | Value | Source |
| --- | --- | --- |
| Context window | 262,144 tokens (max output 32,768 tokens on the hosted API (thinking included)) | [1] |
| Input price | $0.24 / 1M tokens (cached $0.024) | [2] |
| Output price | $0.90 / 1M tokens | [2] |
| Licence | CC BY-NC 4.0 (commercial use by agreement) · open weights | [1] |
| Released | 20 September 2026 | [3] |
| Parameters | 27B | [1] |

## Sources

1. [Hemmingway-1 model card (weights)](https://huggingface.co/Altworld/Hemmingway-1)
2. [Hemmingway API platform and pricing](https://hemmingway.io/platform/)
3. [Hemmingway-1 model page](https://hemmingway.io/model/)

## Overview

Hemmingway-1 is a 27B-parameter model from Hemmingway, published on Hugging Face under the Altworld organisation on September 20, 2026. It is built on Qwen3.8-27B and tuned for the writing people do every day: text messages, emails, the awkward note to a colleague. The model card's pitch is that when you ask for a text to your landlord you get the text, not three options, a preamble and notes about the options.

The weights were first posted under Apache-2.0 and relicensed on September 22, 2026 to CC BY-NC 4.0: free for personal, research and other non-commercial use, with commercial use by separate agreement. The model card lists a 262,144-token context and gives vLLM and Transformers recipes for running it locally.

Hemmingway also serves the model itself. The hosted API is OpenAI-compatible at https://hemmingway.io/v1 under the model id hemmingway-27b, accepts image parts as well as text, has thinking switched on by default, and caps a reply at 32,768 tokens including thinking. There are web, desktop and mobile apps alongside it.

Three of the benchmarks on the model card (CommunicationBench, Human-Likeness and StoryBench) are Hemmingway's own, and the card says so: blind pairwise matchups run in both orders, judged by a model that was not one of the contestants. The fourth, EQ-Bench 4, is the public emotional-intelligence benchmark, where Hemmingway reports a third-place score of 1330.

## Pricing

- Input: $0.24 / 1M tokens
- Cached input: $0.024 / 1M tokens
- Output: $0.90 / 1M tokens

Hosted hemmingway-27b API; the open weights are free for non-commercial use.

Source: https://hemmingway.io/platform/

## Strengths

- Tops Hemmingway's own CommunicationBench of 80 everyday writing requests at 1026, ahead of Fable 5.1 (1024), GLM-5.3 (1007), Kimi K3 (996) and GPT-6 Astra (976)
- Scores 1032 on the Human-Likeness rerun of those matchups, 26 points clear of Fable 5.1 at 1006
- Wraps 39% of replies in commentary or options, against 93% for Fable 5 and GLM-5.3 and 92% for Kimi K3 in the same test
- 1330 on the public EQ-Bench 4, above GPT-5.5 (1316), Opus 4.7 (1312) and Opus 4.8 (1285)
- Open weights with a 262,144-token context, plus an OpenAI-compatible hosted API that also reads images

## Best for

- Reach for it when you need a message, email or reply drafted in a natural voice rather than a list of options with commentary.
- Reach for it when you want a self-hostable 27B writing model for personal or research use under a non-commercial licence.
- Reach for it when an app already speaks the OpenAI Chat Completions format and you want to swap in a writing-tuned model by changing the base URL and model id.
- Look elsewhere for adversarial storytelling and long story turns, where the model card's own category breakdown shows it losing to the story-focused models.

## How to access

- [Hemmingway API](https://hemmingway.io/docs/) — model id `hemmingway-27b`
- [Hugging Face (weights)](https://huggingface.co/Altworld/Hemmingway-1) — model id `Altworld/Hemmingway-1`

## Hemmingway versions

- Hemmingway-1 (20 September 2026): First release: a 27B fine-tune of Qwen3.8-27B for everyday writing, with open weights and a hosted API. — this page

## FAQ

### What is Hemmingway-1 built on?

Hemmingway-1 is a 27B-parameter fine-tune of Qwen3.8-27B, tuned for everyday writing such as messages, emails and notes to colleagues. The model card lists a 262,144-token context.

### Can I use Hemmingway-1 commercially?

Not without an agreement. The weights are licensed CC BY-NC 4.0, which allows personal, research and other non-commercial use with credit; commercial use needs a separate agreement with Hemmingway. The weights were briefly posted under Apache-2.0 on release day and relicensed on September 22, 2026.

### How much does the Hemmingway-1 API cost?

The hosted API charges $0.24 per million input tokens, $0.024 per million cached input tokens and $0.90 per million output tokens. It is OpenAI-compatible at https://hemmingway.io/v1 with the model id hemmingway-27b, and a reply is capped at 32,768 tokens including thinking.

### How does Hemmingway-1 compare with larger models?

On Hemmingway's own CommunicationBench it scores 1026, ahead of Fable 5.1 (1024), GLM-5.3 (1007), Kimi K3 (996) and GPT-6 Astra (976). On the public EQ-Bench 4 it scores 1330, behind Fable 5 (1341) and Kimi K3 (1332). On the internal StoryBench it ties Kimi K3 at 1197, below Fable 5 Max and GLM-5.3.

## Links

- [Hemmingway-1 model card (weights)](https://huggingface.co/Altworld/Hemmingway-1)
- [Hemmingway-1 model page](https://hemmingway.io/model/)
- [Hemmingway API platform and pricing](https://hemmingway.io/platform/)
- [Hemmingway API docs](https://hemmingway.io/docs/)
- [lukeckprobierts/Hemmingway-1 on GitHub](https://github.com/lukeckprobierts/Hemmingway-1)
- [Try Hemmingway](https://hemmingway.io/)

Source: AI/TLDR LLM registry, https://ai-tldr.dev/models/hemmingway-1/