LLM Pricing
PricingLeaderboardsToolsProvidersReleasesGuides

© 2026 LLM Pricing

About
·Contact
·Privacy
·RSS
← Model list

Qwen 3.8 27B Fable

alibaba·alibaba/qwen3.8-27b-fable·GA·Open weights·qwen series·NEW

Qwen 3.8 27B Fable is an open-weight multimodal creative finetune for expressive dialogue, long-form storytelling, character work, and roleplay.

At a glance
Reference price$0.20 / $1.40 per 1M
Cache read $0.04 · NanoGPT
Lowest paid$0.20 / $1.40
NanoGPT Gateway
Context262,144
Output limit32,768
Capabilities
✓ Reasoning✓ Tool useStructured output? Temperature✓ Attachments
Modalities
TextImage
Knowledge cutoff—
Released / updated2026-08-28 / 2026-08-28

Quality & performance

Artificial Analysis doesn't cover this model (267 of 2059 have data). Quality data comes from independent evals covering widely used models.

Available at 1 providers1 with public prices

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
NanoGPTGateway$0.20$1.40$0.04—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$90.80
The cheapest paid channel is the only channel.

Benchmark

No upstream benchmark data for this model. For quality, see the Artificial Analysis intelligence score above.

Reasoning control

Upstream provides no control info

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

Related models

Qwen3.8 Flash Nextsame series$0.201 / $0.50Qwen3.8 Flashsame series$0.119 / $0.401Qwen3.8 Flash (NovitaAI)same series$0.15 / $0.47DeepSeek V4 Flashcheaper alternative$0.14 / $0.28GLM-5.3-Flashcheaper alternative$0.075 / $0.25GPT-5 Nanocheaper alternative$0.05 / $0.40GLM-4.7-Flashcheaper alternative$0 / $0

Price historyone sample accumulated per data sync

Input list $0.20Output list $1.40Min blended $0.50

Price history accumulates from each data sync; currently only 1 sample(s) (2026-08-29). Each future sync adds a point, and once accumulated a line is drawn here.

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