GPT-4-Classic
poe/gpt-4-classic提供: poe · ファミリー: gpt · リリース 2024-03-25
⚠ 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.
Coding41
- Tool calling40/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability1/10
Agents36
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit0/15
- Provider availability1/10
JSON / structured output20
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control0/10
- Price-friendly for high-volume0/20
Cost efficiency15
- Headline price (log-scaled)15/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Vision61
- Accepts image input50/50
- Context window (10K → 1M)0/30
- Has published price10/10
- Provider availability1/10
Production-readiness43
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K8/15
- 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 | $162 $0.16 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 | $324 $0.03 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 | $81.00 $0.08 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 | $270 $0.27 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $356 $0.36 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 · openai/gpt-4-classic
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 | openai/gpt-4-classic | $27.00 | $54.00 | 8K | 2024-03-25 |
Frequently asked questions
How much does GPT-4-Classic cost?
GPT-4-Classic costs $27.00 per 1M input tokens and $54.00 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 GPT-4-Classic?
GPT-4-Classic has a context window of 8K tokens, with a max output of 4K tokens per reply. This is the total combined size of prompt + completion.
Does GPT-4-Classic support tool calling?
Yes. GPT-4-Classic 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 GPT-4-Classic support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for GPT-4-Classic in our data source. Verify with poe's official documentation before relying on it in production.
Can GPT-4-Classic accept image input?
Yes. GPT-4-Classic accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check poe's docs for the exact rule.
Is GPT-4-Classic open-weight?
No. GPT-4-Classic 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 GPT-4-Classic?
If GPT-4-Classic 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.
Explore more
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Capability lists this model is in
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.