Measured on Composite
This model has not carried enough traffic on Composite yet to publish a success rate, a latency figure or a traffic rank. The numbers appear here once it has.
AI model
Qwen: Qwen3.8 27B (cheapest-provider) (Reasoning)
qwen/qwen3.8-27b:cheapest-provider-reasoning
Qwen: Qwen3.8 27B (cheapest-provider) (Reasoning) is a 262,144-token model served on Composite at $0.0250 per million tokens in and $0.625 per million tokens out.
Try in PlaygroundSpecifications
| Model ID | qwen/qwen3.8-27b:cheapest-provider-reasoning |
|---|---|
| Provider | Tenstorrent |
| Context window | 262,144 tokens |
| Accepts | text, image, video |
| Returns | text |
| Input price | $0.0250 per million tokens |
| Output price | $0.625 per million tokens |
| Prompt caching | Supported — cached input is billed at the provider's cache rate, on credits and plans alike |
| Thinking | Optional - see "Qwen: Qwen3.8 27B (cheapest-provider) (Reasoning) (Reasoning)" in the catalog to turn it on by default |
| Moderated | No |
| Cost on a monthly plan | About 0.7 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 1 |
Pricing
$0.0250 per million tokens input · $0.625 per million tokens output
Credits pay the provider’s price plus 25%; cache hits cost less.
On a monthly plan, a typical call (8k tokens in, 1k out) uses about 0.7 plan credits, at the provider's own price.
Provider
Tenstorrent
Roleplay fit
Qwen models pair large context windows with solid multilingual ability, useful for roleplay that switches languages or references long lore documents.
Context behavior
With a 262,144-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.
Cost for regular use
It is priced low enough for high-volume daily roleplay without the per-message cost adding up quickly.
From the provider
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
Supplied by Tenstorrent, not written by Composite.
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