Llama-3.1-8B-CS
poe/llama-3-1-8b-cs提供： poe · リリース 2025-05-13
⚠ これはコミュニティのファインチューン / 派生モデルで、ベンダーの公式リリースではありません。
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
機能一覧
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding43
- Tool calling40/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)2/20
- Provider availability1/10
Agents36
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit0/15
- Provider availability1/10
JSON / structured output40
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control0/10
- Price-friendly for high-volume20/20
Cost efficiency79
- Headline price (log-scaled)79/95
- Has prompt-cache pricing0/5
Long context45
- Context window (100K → 2M)35/90
- Has published price for full window10/10
Production-readiness50
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.55 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $1.10 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.25 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $0.90 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $1.26 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
料金詳細
推奨料金 (提供元): poe · cerebras/llama-3.1-8b-cs
1 か所で利用可能
| プロバイダー | プロバイダーモデルID | 入力 / 1M | 出力 / 1M | コンテキスト | リリース日 |
|---|---|---|---|---|---|
| Poe poe | cerebras/llama-3.1-8b-cs | $0.100 | $0.100 | 128K | 2025-05-13 |
Frequently asked questions
How much does Llama-3.1-8B-CS cost?
Llama-3.1-8B-CS costs $0.100 per 1M input tokens and $0.100 per 1M output tokens, sourced from poe. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Llama-3.1-8B-CS?
Llama-3.1-8B-CS has a context window of 128K tokens. This is the total combined size of prompt + completion.
Does Llama-3.1-8B-CS support tool calling?
Yes. Llama-3.1-8B-CS supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Llama-3.1-8B-CS support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Llama-3.1-8B-CS in our data source. Verify with poe's official documentation before relying on it in production.
Can Llama-3.1-8B-CS accept image input?
No. Llama-3.1-8B-CS only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Llama-3.1-8B-CS open-weight?
No. Llama-3.1-8B-CS is a proprietary model — only poe (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Llama-3.1-8B-CS?
If Llama-3.1-8B-CS doesn't fit, consider Tako. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
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最終更新：
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.