Purpose-built visual AI workflows with quality control - not LLM infrastructure with image generation bolted on.
Last updated: March 2026
Together.ai is a leading LLM inference platform valued at $3.3B. Their image and video generation is powered through a Runware partnership, not native infrastructure. Runflow is purpose-built for visual AI workflows at production scale.
17 Solution APIs with Sentinel quality control, ComfyUI ecosystem integration, and per-niche benchmarks. BetterPic cut costs by 70% using our workflow optimization. Purpose-built for visual AI at production scale.
✓ 17 Solution APIs (production pipelines)
✓ Sentinel quality control (8-dimension QA)
✓ ComfyUI native integration
✓ Per-niche benchmarks
✓ Native visual AI infrastructure
✓ Auto-retry, loops, conditional logic
The AI Native Cloud with 200+ LLM models, fastest open-source inference (FlashAttention, ATLAS), and a full-stack offering including fine-tuning and GPU clusters. Image generation routed through Runware partnership.
✓ 200+ models, fastest LLM inference
✓ OpenAI-compatible API
✓ Batch API at 50% discount
✗ No quality control layer
✗ No ComfyUI support
✗ Image generation via partnership (not native)
Choose Runflow if...
Choose Together.ai if...
| Feature | Runflow | Together.ai |
|---|---|---|
| Core strength | Visual AI workflows + quality control | LLM inference + fine-tuning |
| Pricing model | Per-image, fixed | Per-token (LLM), per-MP (image) |
| Cost predictability | ✓ | ~ |
| Quality control (Sentinel) | ✓ | ✗ |
| Per-niche benchmarks | ✓ | ✗ |
| Image models | 736 (native infrastructure) | ~25 (via Runware partnership) |
| ComfyUI integration | Native, one-click deploy | ✗ |
| Custom nodes | ✓ | ✗ |
| Auto-retry on failure | ✓ | ✗ |
| Smart loops | ✓ | ✗ |
| Solution APIs | 17 production pipelines | Raw model endpoints |
| Image editing suite | Upscaling, bg removal, inpainting | ✗ |
| LLM inference | ✗ | 200+ models, fastest open-source |
| OpenAI-compatible API | ✗ | ✓ |
| Batch API (50% off) | ✗ | ✓ |
| Fine-tuning | LoRA via ComfyUI | Full LoRA + full fine-tune |
| GPU clusters | ✗ | ✓ |
| HIPAA compliance | ✗ | ✓ |
| Dev/Staging/Prod environments | ✓ | ✗ |
| Version history & rollback | ✓ | ✗ |
| SLA | 99.9% | 99% (Scale), 99.9% (Enterprise) |
Together.ai is the best platform for running open-source LLMs. FlashAttention, ATLAS speculative decoding, 200+ models. But image and video generation is not their core business. Their visual AI routes through a Runware partnership, meaning an additional infrastructure layer between you and the GPU. Together.ai's proprietary speed optimizations apply to LLM inference only, not image generation. If you're building an LLM-powered app that occasionally generates images, Together.ai works. If image generation is your core product, you need a specialist.
Together.ai has zero ComfyUI support. Their image generation is prompt-in, image-out. No chaining, no conditioning, no multi-step processing. If your workflow requires more than a single API call, you need to build the orchestration yourself. Runflow deploys full ComfyUI workflows with all the custom nodes, LoRAs, ControlNets, and multi-step logic that visual AI professionals depend on. One-click deployment, smart nodes like Sentinel for quality control, and dev/staging/prod environment management.
At API scale, models produce bad outputs: face distortions, wrong backgrounds, skin tone issues. Together.ai has no quality layer. Every output goes straight to your users. Runflow's Sentinel evaluates every output across 8 dimensions (prompt alignment, artifact detection, composition, face fidelity, and more) with configurable pass/fail thresholds and auto-retry on failure. Try it yourself with our Product Scoring tool.
BetterPic went from 40% to 87% gross margin by switching to Runflow. How? Optimized workflows that generate smarter, not more. Sentinel eliminates manual QA costs entirely. Smart retry logic avoids wasting compute on bad generations. Per-niche benchmarks ensure you're running the right model for each task instead of overpaying for a general-purpose one. Together.ai gives you a model endpoint routed through Runware. Runflow optimizes the entire pipeline around it to cut your costs.
For common models like FLUX.1 [dev], pricing is identical at $0.025/megapixel on both platforms. The difference is what you get: Runflow includes Sentinel quality control, auto-retry, and workflow orchestration at no additional cost for Solution APIs. Together.ai wins on LLM pricing with a batch API at 50% discount and free models like Apriel. For image generation value, Runflow delivers more per dollar. See full pricing.
Together.ai publishes impressive LLM benchmarks: 694 tokens/sec, 2x faster than competitors, ATLAS with 400% speedup. But they publish no image quality benchmarks. No per-niche testing. No guidance on which model works best for headshots vs. fashion vs. product photos. Runflow benchmarks models per visual use case: face fidelity for headshots, garment accuracy for virtual try-on, object accuracy for product photography, and composition for ad creative.
Together.ai's image and video models route through a Runware partnership. This is public information documented in their own blog. It means Together.ai's proprietary speed optimizations (FlashAttention, ATLAS) do not apply to image generation. There's an additional infrastructure hop between your API call and the GPU. Image model availability depends on Runware's catalog and uptime, not Together.ai's. Runflow's image generation runs on native infrastructure with no intermediary layers.
Together.ai has a 2.4/5 Trustpilot score with 5 of 6 reviews at 1 star. Reports include unexpected charges requiring emergency card blocks, advertised rate limits not delivered in practice, and completely unresponsive support after billing disputes. Runflow offers per-image fixed pricing so you know exactly what you'll pay, a full cost transparency dashboard, direct founder access for support, and no surprise charges.
Switch to a purpose-built platform. You don't have to leave Together.ai entirely.
Use each platform for what it does best: Together.ai for LLMs, Runflow for visual AI workflows.
| Current Setup | Migration Path | Effort |
|---|---|---|
| Together.ai image API calls | Swap API endpoint + key, add Sentinel | Hours |
| Together.ai for both LLM + image | Keep Together for LLM, move image to Runflow | Hours |
| Together.ai + custom image pipeline | Replace pipeline with Runflow Solution APIs | Days |
| Need ComfyUI workflow deployment | No equivalent on Together - fresh start on Runflow | Hours |
Together.ai may still be the right call if...
Runflow is the better call if...
Partially. Together.ai is primarily an LLM inference platform. Their image and video generation is a secondary offering routed through a Runware partnership. Runflow is purpose-built for visual AI workflows. If you need LLM inference, Together.ai is excellent. If you need production-grade image generation with quality control, that's Runflow.
For common models like FLUX.1 [dev], pricing is identical ($0.025/MP on both). The difference is what you get: Runflow includes Sentinel quality control, auto-retry, and workflow orchestration at no additional cost for Solution APIs. Together.ai gives you raw model output.
Yes, and we recommend it for teams that need both LLM and visual AI capabilities. Use Together.ai for chatbots, code generation, and LLM-powered features. Use Runflow for image generation workflows, ComfyUI deployment, and visual AI pipelines. Different tools for different jobs.
No. Together.ai has zero ComfyUI support. Their image generation is API-only (prompt in, image out). There's no workflow builder, no custom node support, and no multi-step pipeline capability. If you use ComfyUI, Runflow is the only option that offers native deployment.
Together.ai's 2x speed claims apply to LLM inference (FlashAttention, ATLAS speculative decoding). These optimizations do not apply to their image generation, which routes through Runware. For image generation speed, Together.ai is not meaningfully faster than alternatives.
Production-validated pipelines for specific visual AI use cases: AI headshots, virtual try-on, product photography, ad creative, and more. Each Solution API includes Sentinel quality control, optimized parameters, and per-niche benchmarking. They're ready to integrate without building your own pipeline.
Start with a free audit of your current pipeline. We'll benchmark your use case across 736 models and show you exactly what you'd gain.