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Compare LLM inference API pricing between Fireworks AI and Replicate. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| Model ↑ | Fireworks AI | Replicate | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.220 in $0.660 out | Not available | — |
DeepSeek | $0.220 in $0.660 out | Not available | — |
DeepSeek | $1.32 in $3.96 out | Not available | — |
Zhipu | $1.40 in $4.40 out | Not available | — |
Z AI | $1.40 in $4.40 out | Not available | — |
Z AI | $0.150 in $0.500 out | Not available | — |
Thinking Machines Lab | $1.00 in $4.05 out | Not available | — |
Kimi | $0.950 in $4.00 out | Not available | — |
Kimi | $0.950 in $4.00 out | Not available | — |
Moonshot | $3.00 in $15.00 out | Not available | — |
MiniMax | $0.300 in $1.20 out | Not available | — |
MiniMax | $0.300 in $1.20 out | Not available | — |
Meta | $0.350 in $1.50 out | Not available | — |
Alibaba | $0.200 in $0.0000 out | Not available | — |
Alibaba | $0.400 in $1.60 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare Fireworks AI with another leading provider
Compare Fireworks AI with another leading provider
Compare Fireworks AI with another leading provider
Compare Fireworks AI with another leading provider
Compare Fireworks AI with another leading provider
Compare Fireworks AI with another leading provider
Text, vision, audio, image, and embedding models, including recent releases such as Kimi K3, GLM 5.2, DeepSeek V4, MiniMax M3, and Qwen3.7 Plus
Industry-leading throughput and latency with fast inference engine
SFT, DPO, and reinforcement fine-tuning of models up to 1T+ parameters, from guided runs through writing your own trainer and RL loop
Drop-in replacement for closed-model APIs - change the base URL to migrate, with the same SFT data format for fine-tuning
H100, H200, B200, B300, and GB300 deployments with per-second billing and autoscaling
Async bulk inference jobs run at scale for less than standard serverless requests
Access thousands of open-source models including LLMs, image generators, and more
Consistent REST API across all models with webhooks for async processing
Deploy your own models using Cog containerization
Automatic scaling with cold-start optimization
Pay-per-token pricing across Standard, Priority, and Fast serverless tiers with postpaid billing and no cold starts
Cached input tokens billed at a reduced rate on supported models
Async bulk inference billed at a discount to standard serverless requests
Embedding models billed per 1M input tokens, tiered by model parameter count
Supervised and preference fine tuning billed per 1M training tokens with LoRA or full-parameter options; reinforcement fine tuning billed per GPU hour
Shared always-on trainer pool for LoRA training with no provisioning or idle cost, billed per token prefilled, sampled, and trained
Per-second billing for H100, H200, B200, B300, and GB300 GPU deployments with no start-up charges; region-restricted deployments in the US or Europe are priced at 1.25x the standard rate
Guaranteed capacity with higher rate limits and earliest access to new hardware, arranged through sales
Charged per model run based on compute time and hardware
Limited free predictions for new users
Browse 100+ models at fireworks.ai/models
Experiment with prompts interactively without coding
Create an API key from user settings in your account
Use OpenAI-compatible endpoints or Fireworks SDK
Transition to on-demand GPU deployments for production workloads
Sign up at replicate.com with GitHub or email
Copy your API token from account settings
Use the API or Python client to run any model
18+ global regions across 8 cloud providers with multi-region deployments and BYOC support for enterprise
Documentation, Discord community, status page, email support, and dedicated enterprise support with SLAs
US-based infrastructure with global CDN
Documentation, Discord community, email support