AI Tool Comparison

Comparing as AI Agent & Orchestration Frameworks
Together AI vs Runway

Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.

Together AI

Together AI

VS
Runway

Runway

Verdict by Category

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Detailed Comparison

Feature
Together AI
Runway
Pricing
PaidTogether AI uses pay-as-you-go pricing across its products. Serverless inference is billed per model, priced per 1M tokens for text (e.g., MiniMax M3 at $0.30 input/$1.20 output, GLM-5.2 at $1.40 input/$4.40 output, gpt-oss-120B at $0.15 input/$0.60 output), per image for image generation (e.g., FLUX.1 [schnell] at $0.0027/image), per video for video models (e.g., ByteDance Seedance 2.5 at $0.115/video, Google Veo 3.0 at $1.60/video), and per audio minute or character for speech models. Dedicated Inference runs on single-tenant GPUs starting at $5.49/GPU/hour on-demand for NVIDIA HGX H100 and $8.99/hour for HGX B200, with reserved options available via sales. GPU Clusters offer on-demand rates from $3.99/hour (H100) to $8.19/hour (B200), with reserved pricing dropping as low as $3.19/hour for 181+ day H100 commitments. Sandbox compute costs $0.0446/vCPU/hour and $0.0149/GiB RAM/hour, with Code Interpreter sessions at $0.03 per 60-minute session. Fine-tuning is priced per 1M tokens processed, ranging from $0.48 (LoRA, up to 16B parameters) to $8.00 (full fine-tuning, 70-100B parameters) for standard models, with specialized model pricing (e.g., DeepSeek-R1, GLM-5) ranging $5-$40 per 1M tokens plus a minimum job charge. Managed Storage costs $0.16/GiB/month.
FreemiumFree plan includes 125 one-time credits, 3 video editor projects, 5GB storage. Standard plan: $12 per user per month (billed annually as $144) includes 625 monthly credits, access to all apps and workflows, 100GB storage. Pro plan: $28 per user per month (billed annually as $336) includes 2250 monthly credits, custom voices, 500GB storage. Max plan: $76 per user per month (billed annually as $912) includes 9500 monthly credits, unused credits roll over, first access to new models. Enterprise plan: Custom pricing for large organizations, includes SSO, custom credits, advanced security, priority support, and integrations.
Categories
AI Developer APIs & Platforms
AI Video ToolsAI Image GeneratorsAI Audio & Music ToolsAI Art & Animation ToolsAI Developer APIs & PlatformsAI No-Code / Automation Tools
Summary
Full-stack AI cloud for inference, fine-tuning, and GPU clusters
The complete AI creative toolkit for video, image, and audio generation.
Together AI

Together AI Pros & Cons

Pros

  • OpenAI-compatible API makes migrating from closed-model providers straightforward
  • Transparent per-model, pay-as-you-go pricing across 200+ open-source models
  • Vertically integrated GPU cloud offers competitive on-demand and reserved rates
  • Backed by deep systems research, including FlashAttention and other efficiency breakthroughs
  • Full-stack coverage from inference to fine-tuning to raw GPU compute in one platform
  • Proven at scale with customers like Cursor, Zoom, Quora, and ElevenLabs

Cons

  • Pricing spans many separate model and product pages, making total cost estimation more complex than flat-rate competitors
  • Dedicated GPU and reserved cluster pricing largely requires contacting sales rather than transparent self-serve rates
  • Focus on open-source models means access to closed frontier models like GPT or Claude isn't the platform's core strength
  • Fine-tuning costs vary significantly by model size and technique, requiring careful comparison before committing
  • Provisioned throughput and PTU-based pricing has a learning curve for teams new to capacity-based billing
Runway

Runway Pros & Cons

Pros

  • Comprehensive suite of AI tools for video, image, and audio
  • Advanced video generation with state-of-the-art motion quality
  • Unique real-time conversational AI characters for interactive experiences
  • Flexible workflow builder for complex creative pipelines
  • Significant time and cost savings for production (e.g., VFX, advertising)
  • Enterprise-grade solutions with custom models and dedicated support

Cons

  • Credit-based system can be complex to manage and costly for heavy users
  • Steep learning curve for advanced features like custom workflows and API integrations
  • Requires high-quality reference imagery for optimal results, which can be challenging to source
  • Achieving "uncanny valley" avoidance requires careful attention to detail and traditional VFX skills
  • Limited free plan with minimal credits for extensive experimentation