FastInfra vs Fireworks AI at a glance
Fireworks AI focuses on fast serverless inference for open models. FastInfra offers serverless, pay-per-token access to open and frontier models through one OpenAI-compatible API with automatic routing across upstream providers, and adds GPU pods and bare-metal servers for teams that outgrow serverless-only hosting.
| Capability | FastInfra |
|---|---|
| OpenAI-compatible chat completions and streaming | Yes |
| Frontier models (Claude, GPT, Gemini) on the same key | Yes |
| Open-weight models | Yes — part of 714 models |
| Routing failover between upstreams | Yes |
| GPU pods for custom weights | Yes — per-minute billing |
| Dedicated bare metal | Yes — monthly, plus auction stock |
Live prices for popular models
| Model | Input $/1M | Output $/1M | Routes |
|---|---|---|---|
Claude Opus 5anthropic/claude-opus-5 | $5.4 | $27 | 1 |
Claude Sonnet 5anthropic/claude-sonnet-5 | $2.16 | $10.8 | 1 |
Claude Haiku 5.5anthropic/claude-haiku-5.5 | $0.108 | $0.54 | 1 |
Claude Fable 5.1anthropic/claude-fable-5.1 | $10.8 | $54 | 1 |
GPT-5.5openai/gpt-5.5 | $5.4 | $32.4 | 1 |
GPT-6 Solopenai/gpt-6-sol | $2.16 | $10.8 | 1 |
GPT-OSS 120Bgpt-oss-120b | $0.162 | $0.648 | 5 |
Gemini 3.8 Flashgoogle/gemini-3.8-flash | $0.81 | $4.05 | 1 |
DeepSeek V4 Prodeepseek/deepseek-v4-pro | $1.728 | $3.456 | 2 |
DeepSeek V4 Flashdeepseek/deepseek-v4-flash | $0.0983 | $0.1966 | 2 |
Qwen3.6 27Bqwen/qwen3.6-27b | $0.486 | $2.916 | 2 |
Kimi K3moonshotai/kimi-k3 | $0.2074 | $16.2 | 3 |
Grok 4.7x-ai/grok-4.7 | $2.16 | $6.48 | 1 |
GLM 5.3glm-5.3 | $0.0864 | $3.888 | 4 |
Llama 4 Maverickmeta-llama/llama-4-maverick | $0.2025 | $0.7047 | 1 |
Migrate in five minutes
from openai import OpenAI
client = OpenAI(base_url="https://api.fastinfra.ai/v1", api_key="YOUR_FASTINFRA_KEY")
resp = client.chat.completions.create(
model="deepseek/deepseek-v4-flash",
messages=[{"role": "user", "content": "Summarise this ticket in one line."}],
)
print(resp.choices[0].message.content)When a GPU pod beats serverless
Serverless tokens are ideal for spiky production traffic. A rented GPU wins when a single model runs near full utilisation all day, when you serve custom or fine-tuned weights, or when you need a specific runtime configuration. Both run on the same FastInfra account.