GPT OSS 20B (Together AI)
llmgateway-providers/gpt-oss-20b出品方： llmgateway-providers · 系列: gpt-oss · 发布 2025-08-05
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
能力清单
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.
Coding54
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability2/10
Agents67
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability2/10
JSON / structured output50
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume20/20
Cost efficiency77
- Headline price (log-scaled)77/95
- Has prompt-cache pricing0/5
Long context46
- Context window (100K → 2M)36/90
- Has published price for full window10/10
Production-readiness70
- Number of independent providers10/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)15/15
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 | $0.35 < $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 | $0.70 < $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 | $0.20 < $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 | $0.60 < $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 | $0.72 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
定价详情
推荐定价来自 llmgateway-providers · together-ai/gpt-oss-20b
在 2 家渠道可用
| 服务商 | 服务商模型 ID | 输入 / 1M | 输出 / 1M | 上下文 | 发布日期 |
|---|---|---|---|---|---|
| LLM Gateway llmgateway-providers | together-ai/gpt-oss-20b | $0.050 | $0.200 | 131K | 2025-08-05 |
| LLM Gateway llmgateway-providers | groq/gpt-oss-20b | $0.100 | $0.500 | 131K | 2025-08-05 |
Frequently asked questions
How much does GPT OSS 20B (Together AI) cost?
GPT OSS 20B (Together AI) costs $0.050 per 1M input tokens and $0.200 per 1M output tokens, sourced from llmgateway-providers. 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 OSS 20B (Together AI)?
GPT OSS 20B (Together AI) has a context window of 131K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does GPT OSS 20B (Together AI) support tool calling?
Yes. GPT OSS 20B (Together AI) 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 OSS 20B (Together AI) support structured output / JSON mode?
No. GPT OSS 20B (Together AI) does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can GPT OSS 20B (Together AI) accept image input?
No. GPT OSS 20B (Together AI) only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is GPT OSS 20B (Together AI) open-weight?
Yes. GPT OSS 20B (Together AI)'s weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to GPT OSS 20B (Together AI)?
If GPT OSS 20B (Together AI) doesn't fit, consider InclusionAI Ling 3.0 Flash (DeepInfra), Hy3 (DeepInfra), Cosmos 3 Super Reasoner (Nebius AI). 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
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Capability lists this model is in
最近更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.