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TheDrummer/Artemis v1.1

thedrummer·thedrummer/artemis-v1.1·GA·Open weights·NEW
TheDrummer's Artemis v1.1 is a Gemma 4 31B fine-tune for creative writing, expressive dialogue, and roleplay, with optional thinking and a 262K context window.

TheDrummer/Artemis v1.1 is currently listed from a single provider. Its reference price is $0.10 per 1M input tokens and $0.45 per 1M output tokens.

The context window is 262,144 tokens, with an output limit of 32,768 tokens. It supports reasoning and tool use. Accepted input modalities are Text and Image. The weights are open, so it can also be self-hosted or served through a gateway of your choice.

Specs & pricing

Input / output per 1M tokens
Reference price·NanoGPT
$0.10 / $0.45
Blended $0.188 · Cache read $0.05
Lowest paid·NanoGPTGateway
$0.10 / $0.45
Blended $0.188
Context
262,144
Output limit
32,768
Knowledge cutoff
—
Released / updated
2026-09-06 / 2026-09-06
Capabilities
✓ Reasoning✓ Tool useStructured output? Temperature✓ Attachments
Modalities
TextImage

Available at 1 providers1 with public prices

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
NanoGPT
TheDrummer/Artemis-v1.1
Gateway$0.10$0.45$0.05—262,14432,768

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Your usage cost

1NanoGPT$36.50
The cheapest paid channel is the only channel.

Reasoning control

Upstream provides no control info

1 / 1 providers expose no reasoning control (reasoning_options: []).

Related models

GLM-4.7-Flashcheaper alternative$0 / $0Hy3cheaper alternative$0 / $0Qwen3.7 Flashcheaper alternative$0.03 / $0.118Nemotron 3 Nano 30B A3Bcheaper alternative$0 / $0

Price historyone sample accumulated per data sync

Input list $0.10Output list $0.45Min blended $0.188

Price history accumulates from each data sync; currently only 1 sample(s) (2026-09-07). Each future sync adds a point, and once accumulated a line is drawn here.

Data partly from models.dev (MIT) · NanoGPT official docs ↗