Riverflow V2 Standard Preview
openrouter/riverflow-v2-standard-preview出品方： openrouter · 系列: sourceful · 发布 2025-12-08 · 知识截止: 2025-06
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.
Coding1
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability1/10
Agents6
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit5/15
- Provider availability1/10
JSON / structured output10
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control10/10
- Price-friendly for high-volume0/20
Cost efficiency0
- Has published price0/100
Long context0
- Context ≥ 100K0/100
Vision51
- Accepts image input50/50
- Context window (10K → 1M)0/30
- Has published price0/10
- Provider availability1/10
Production-readiness38
- Number of independent providers5/40
- Has published per-token price0/20
- Context window ≥ 8K8/15
- 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.
This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.
在 1 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 |
|---|---|---|---|---|---|
| OpenRouter openrouter | sourceful/riverflow-v2-standard-preview | Unknown | Unknown | 8K | 2025-12-08 |
Frequently asked questions
How much does Riverflow V2 Standard Preview cost?
Riverflow V2 Standard Preview does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check openrouter's official pricing page for the most current rates.
What is the context window of Riverflow V2 Standard Preview?
Riverflow V2 Standard Preview has a context window of 8K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.
Does Riverflow V2 Standard Preview support tool calling?
No. Riverflow V2 Standard Preview does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Riverflow V2 Standard Preview support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Riverflow V2 Standard Preview in our data source. Verify with openrouter's official documentation before relying on it in production.
Can Riverflow V2 Standard Preview accept image input?
Yes. Riverflow V2 Standard Preview accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check openrouter's docs for the exact rule.
Is Riverflow V2 Standard Preview open-weight?
Yes. Riverflow V2 Standard Preview'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 Riverflow V2 Standard Preview?
If Riverflow V2 Standard Preview doesn't fit, consider LFM2.5-1.2B-Instruct (free), LFM2.5-1.2B-Thinking (free), Owl Alpha. 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
More openrouter models
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- LFM2.5-1.2B-Thinking (free)Unknown pricing
- Owl AlphaUnknown pricing
- Pareto Code RouterUnknown pricing
- Elephant (free)Unknown pricing
Capability lists this model is in
最近更新：
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.