Fireworks AI vs Together AI

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-11-09
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Fireworks AI or Together AI: which should you choose?

DimensionFireworks AITogether AI
PricingFrom $0.05/1M input tokensFree · from $0.0017/image
Best forAI product teams tracking inference cost per finished task against revenue, Enterprises fine-tuning open-weight models on private data and serving them at scaleEngineering teams running open-weight models in production on per-token pricing, AI startups graduating from serverless trials to provisioned capacity with an SLA
Standout featuresServerless inference on open-weight models, pay per token · Per-request modes: Standard, Priority, Fast, Batch (50% off) and Spot (30% off) · Ultra-fast mode in preview for select modelsServerless Inference APIs across a broad open-weight catalog · Chat, vision, image, audio, video, transcribe, embeddings, rerank and moderation endpoints · Batch Inference scaling to 30 billion tokens per model
Viability score86/10088/100
APIYesYes

Fireworks AI is the stronger pick for ai product teams tracking inference cost per finished task against revenue; Together AI fits better for engineering teams running open-weight models in production on per-token pricing.

Built from live tool data, last verified 2026-11-09.

Fireworks AI
Fireworks AI

Fireworks AI runs open-model inference, ensembling and fine-tuning on one platform at per-token prices.

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Together AI
Together AI

Together AI is an AI cloud for open-weight models: per-token inference APIs with GPU clusters underneath.

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Pricing
Paid
Freemium
Plans
ServerlessFrom $0.05/1M input tokens
Reserved ThroughputReserved by the minute at Serverless rates
Managed TrainingFrom $0.50/1M training tokens
Serverless Training APIPrice not published
Dedicated Training APIFrom $8/GPU-hour
Fireworks SovereignCustom
Serverless Inference (per 1M tokens)Free
Image Generation (per image)From $0.0017/image
Batch Inference (per 1M tokens)Batch rates
Provisioned ThroughputCustom
Dedicated Model InferenceCustom
Dedicated Container InferenceCustom
GPU ClustersCustom
Popularity
3.8k views
3.6k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebAPICLI
WebAPI
Categories
🖥️ GPU Cloud & Model Inference
🖥️ GPU Cloud & Model Inference
FeaturesFireworks AITogether AI
Serverless inference on open-weight models, pay per token
Per-request modes: Standard, Priority, Fast, Batch (50% off) and Spot (30% off)
Ultra-fast mode in preview for select models
Cached input billed at half price or less with no write fee
Session affinity keeps an agent's context on the same server
Up to 99.6% cache hits and up to 4x the throughput of vLLM wrappers
Ember-1, Kimi K3, Qwen 3.8 Max, DeepSeek V4.1 Flash, GLM 5.3 and Nemotron 3 Ultra
Vision-capable models including Ember-1, Kimi K3 and DeepSeek V4.1 Flash
Context up to 1,048,576 tokens on select models
FireRouter with Opus ensembling routes each turn by accuracy and cost
OpenAI- and Anthropic-compatible APIs for drop-in migration
Managed Training for SFT, DPO and ORPO from UI, CLI or API
Serverless Training API with no idle cost and 80% off repeated prefixes
Dedicated Training API for full-parameter and large MoE runs
On-demand GPU deployments across H100, H200, B200, B300 and GB300
Serverless Inference APIs across a broad open-weight catalog
Chat, vision, image, audio, video, transcribe, embeddings, rerank and moderation endpoints
Batch Inference scaling to 30 billion tokens per model
Cached-input rates published per model, e.g. $0.006 per 1M on DeepSeek V4.1 Flash
Per-image pricing for SD XL, FLUX, GPT Image 2 and Nano Banana Pro
Provisioned Throughput with reserved token capacity and a 99% uptime SLA
Drop-in API compatibility from serverless to dedicated deployments
Dedicated Model Inference on hardware you control
Dedicated Container Inference for video, audio and image models
GPU Clusters with GB300, GB200, B300, B200, H200 and H100
On-demand NVIDIA B200 GPUs on Together GPU Clusters
Together Link: run open models inside your existing agent harness
Together Post-Training with custom RL and SFT loops
Managed Fine-Tuning (SFT and DPO) plus Evaluations
Sandbox for secure code environments and Managed Storage with zero egress fees
IntegrationsFireworks AITogether AI
Azure AI Foundry
NVIDIA
AWS
Microsoft
AMD
PyTorch
LangChain
LiteLLM
Claude Code
GitHub Copilot
MCP
CodeSandbox
Hugging Face
Weights & Biases
LlamaIndex

Frequently Asked Questions

Which is better, Fireworks AI or Together AI?

The best choice between Fireworks AI and Together AI depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Fireworks AI and Together AI?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Fireworks AI or Together AI?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

What else are Fireworks AI and Together AI compared with?

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Where can you read more about Fireworks AI and Together AI?

Fireworks AI
View Fireworks AI reviewFireworks AI alternatives
Together AI
View Together AI reviewTogether AI alternatives

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Analysis generated by our model pipeline from live data: