FastInfra vs OpenRouter at a glance
Both give you one OpenAI-compatible key for hundreds of models with routing across upstream providers. The difference is what sits next to the API: FastInfra runs GPU pods, cloud VPS and dedicated servers on the same account and prepaid wallet, so teams that start with tokens can move to their own hardware without a new vendor.
| Capability | FastInfra | Typical model aggregator |
|---|---|---|
| OpenAI-compatible chat completions | Yes | Yes |
| Hundreds of models behind one key | Yes — 714 models | Yes |
| Automatic lowest-cost routing and failover | Yes | Varies |
| Free-tier models | Yes — 12 models at $0 | Varies |
| GPU pods billed per minute | Yes | No |
| Cloud VPS and dedicated servers | Yes | No |
| Video generation API | Yes | Varies |
Live prices for popular models
Compare these per-million-token prices with what you pay today. Each row links to the model page with specs and a cost calculator.
| 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 | $0.0302 | $0.1102 | 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
- Create a FastInfra key and add credits (or start on free-tier models).
- Change
base_urltohttps://api.fastinfra.ai/v1and swap the key. - Keep your model IDs where they match (for example
anthropic/claude-opus-5,openai/gpt-5.5);GET /modelslists every ID. - Run your test suite, then compare cost per request in the dashboard for a day.
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 to stay where you are
If you depend on a model or provider-specific feature that is not in the FastInfra catalog, check its model page first. For pure token usage with no plans to run your own models, the decision usually comes down to price per model — which is why the live table above is the fairest comparison.