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Sourceful: Riverflow V2.5 Pro

sourceful/riverflow-v2.5-pro

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Riverflow V2.5 Pro is the most powerful variant of Sourceful's Riverflow 2.5 lineup, best for top-tier control and quality-sensitive outputs.

The Riverflow 2.5 series is a unified text-to-image and image-to-image family that treats generation as a production workflow, using an integrated reasoning model to plan multi-step edits and judge candidates before accepting a result. Riverflow 2.5 combines their reasoning with a mix of closed and open image diffusion models to provide greater accuracy and steerability.Reasoning effort is controllable via the reasoning parameter (low/medium/high/xhigh) - higher levels do more editing passes and apply a stricter internal judge, with xhigh suited to batch runs that need high repeatability. It generates at 1K, 2K, and 4K resolution and accepts up to 10 input images for editing.

Pricing is dynamic: cost is finalized per job at completion based on billable processing, so it scales with reasoning effort, resolution, and editing complexity rather than a fixed per-image rate.

Additional features (via image_config):

  • Custom font rendering via font_inputs (max 2) to match brand lettering, spacing, and weight
  • Custom scoring via scoring_prompt and scoring_rubric, so the reasoning model evaluates and steers each candidate against the criteria you care about
  • Background control via background_mode (original, transparent, solid) and background_hex_color

See the image generation docs for details: https://openrouter.ai/docs/features/multimodal/image-generation(opens in new tab)

Note: Sourceful imposes a 4.5MB request size limit, therefore it is highly recommended to pass image URLs instead of Base64 data.

Modalities

Price

from $0.24/image

Context

Avg

33K

Released

Jun 4, 2026

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ProvidersPerformancePricingAppsActivityUptimeQuick Start

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Pricing

List price is the headline rate per million tokens. Effective price is what you actually pay after prompt caching is applied — for repeated context, this can be 60–80% cheaper. The chart below shows the rolling effective price over the past 30 days.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Uptime

Percent of requests that succeeded over the last 30 days. OpenRouter monitors every provider continuously and automatically retries on the next-best provider when one returns an error.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.