Banana.dev vs Together AI Comparison
Detailed comparison of features, pricing, and capabilities
Last updated May 13, 2026
Overview
Compare key metrics and features at a glance
Banana.dev
https://www.banana.dev
Banana.dev was a cloud platform that enabled developers to deploy and scale machine learning models on serverless GPU infrastructure with minimal configuration. It provided a simple API-based interface for running inference workloads, allowing teams to avoid managing their own GPU servers. The service shut down in 2023 as the team pivoted or wound down operations.
Together AI
https://www.together.ai
Together AI is a cloud platform that enables developers and enterprises to run, fine-tune, and deploy open-source large language models (LLMs) at scale with high performance and cost efficiency. The platform provides access to a wide range of open-source models including LLaMA, Mistral, and others through a unified API, along with tools for custom model fine-tuning and inference optimization. Together AI also conducts AI research and has developed its own inference infrastructure designed to deliver fast and affordable generative AI capabilities.
Quick Comparison
| Detail | Banana.dev | Together AI |
|---|---|---|
| Category | AI Cloud Infrastructure | AI Cloud Infrastructure |
| Starting Price | $20/mo | Free |
| Plans Available | 3 | 6 |
| Features Tracked | 15 | 15 |
| Founded | 2021 | 2022 |
| Headquarters | San Francisco, USA | San Francisco, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| API Endpoints | ||
| Open API & SDKs | ||
| OpenAI-Compatible APIs | ||
| core | ||
| Autoscaling GPU Clusters | ||
| Autoscaling GPUs | ||
| Built-in Observability | ||
| Container Deployments | ||
| Dedicated Model Inference | ||
| Fine-Tuning Workflows | ||
| Full-Stack Observability | ||
| High-Performance Inference | ||
| Instant GPU Clusters | ||
| Kubernetes & Slurm | ||
| Max Parallel GPUs | Add-on | |
| NVIDIA GPU Support | ||
| Pay-As-You-Go Pricing | ||
| Pay-per-Use Pricing | ||
| Request Analytics | ||
| Rolling Deploys | ||
| Self-Healing Clusters | ||
| Serverless GPU Inference | ||
| Serverless Inference | ||
| Team Collaboration | ||
| Zero Egress Fees | ||
| custom | ||
| Custom GPU Types | ||
| integration | ||
| CLI Tool | ||
| GitHub Integration | ||
| Open-Source Model Hub | ||
| SDK Support | ||
| support | ||
| Performance Monitoring | ||
Pricing
Compare pricing plans and value for money
Banana.dev
From $20/mo
Price Components
- base_fee: $1200/month
- compute: $0/at-cost compute
- team_members: $0/member (10 included)
- base_fee: $0/month
- compute: $0/at-cost compute
Best For
Small dev teams prototyping ML inference APIs who previously used Banana.dev and now seek similar serverless GPU options.
Together AI
From $0/mo
Price Components
- GLM-5.1 Input Tokens: $1.4/1M tokens
- GLM-5.1 Output Tokens: $4.4/1M tokens
- Llama 3.3 70B: $0.88/1M tokens
- 1x H100 80GB: $3.99/hour
- 1x H200 141GB: $5.49/hour
Best For
Developers and enterprises needing fast, cost-efficient deployment and fine-tuning of open-source LLMs with flexible GPU clusters and serverless APIs.
Integrations
See which third-party services are supported
Supported Integrations
Coming Soon
Integration comparison data for Banana.dev, Together AI is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
Banana.dev
Small dev teams prototyping ML inference APIs who previously used Banana.dev and now seek similar serverless GPU options.
- Serverless GPU inference with autoscaling from zero eliminates node management, unlike managed clusters from hyperscalers.
- Pay-per-use pricing passes through at-cost GPU compute, minimizing waste compared to fixed instance competitors.
- Built-in observability and request analytics provide real-time insights without extra tooling integrations.
- GitHub integration and CLI enable seamless CI/CD for ML model deployments.
- Service shut down in 2023, making it unavailable for new deployments or ongoing use.
- Small team size (1-10 employees) limited enterprise-grade support and feature depth.
- Seed funding stage restricted scalability for massive production workloads.
Together AI
Developers and enterprises needing fast, cost-efficient deployment and fine-tuning of open-source LLMs with flexible GPU clusters and serverless APIs.
- Serverless inference with OpenAI-compatible APIs and up to 4x faster performance via custom optimizations differentiates from generic cloud providers.
- Instant self-service GPU clusters up to 64 NVIDIA H100/H200 GPUs deploy in minutes with zero egress fees and autoscaling.
- Fine-tuning for 200+ open-source models like LLaMA and Mistral using proprietary data, with dedicated $2,872/month inference options.
- Full-stack observability via Grafana dashboards and pay-as-you-go token-based pricing for cost-efficient scaling.
- Young company founded in 2022 with 51-200 employees may lack the enterprise maturity and global scale of hyperscalers like AWS.
- Focus on open-source models limits access to proprietary LLMs from providers like OpenAI or Anthropic.
- High entry for dedicated options at $2,872/month suits enterprises but may deter small teams preferring fully serverless.
Company Info
Company details and background
Banana.dev
Together AI
Comparison FAQ
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