Fireworks AI vs OpenRouter
Fireworks AI vs OpenRouter: side-by-side comparison of two inference platforms & gateways systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
How they relate
- Fireworks AI integrates with OpenRouter — Fireworks AI docs integration: OpenRouter (upstream provider, LLM Gateways).
- OpenRouter integrates with Fireworks AI — OpenRouter lists Fireworks as an inference provider (providers API slug "fireworks").
Cost & capability
| Fireworks AI | OpenRouter | |
|---|---|---|
| Cost tier | searched not found | searched not found |
| $/Mtok input | searched not found | searched not found |
| $/Mtok output | searched not found | searched not found |
Where they differ (7)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| Fireworks AI | OpenRouter | |
|---|---|---|
| Type | Fast OSS LLM inference cloud | Multi-provider LLM gateway |
| Created | 2022 | 2023 |
| Latest release | v1.2.30 (2026-10-21) — fireworks-ai | searched not found |
| License | proprietary; Python SDK Apache-2.0 | searched not found |
| Pricing | Serverless pay-per-token; on-demand GPUs $8/hr (H100/H200), $13/hr (B200), $15/hr (B300); fine-tuning from $0.50 per 1M training tokens (LoRA SFT up to 16B) | searched not found |
| Funding | $77M total raised through Series B 2024-07 ($52M, Sequoia led; $552M valuation). | $40M Series A 2025-03 (Andreessen Horowitz + Menlo led). |
| API surface | OpenAI-compatible REST API, Python SDK (fireworks-ai) | searched not found |
At a glance
| Fireworks AI | OpenRouter | |
|---|---|---|
| Section | Inference platforms & gateways | Inference platforms & gateways |
| Tier | T1 | T1 |
| Type | Fast OSS LLM inference cloud | Multi-provider LLM gateway |
| Created | 2022 | 2023 |
| Latest release | v1.2.30 (2026-10-21) — fireworks-ai | searched not found |
| License | proprietary; Python SDK Apache-2.0 | searched not found |
| GitHub | searched not found | searched not found |
| Pricing | Serverless pay-per-token; on-demand GPUs $8/hr (H100/H200), $13/hr (B200), $15/hr (B300); fine-tuning from $0.50 per 1M training tokens (LoRA SFT up to 16B) | searched not found |
| Funding | $77M total raised through Series B 2024-07 ($52M, Sequoia led; $552M valuation). | $40M Series A 2025-03 (Andreessen Horowitz + Menlo led). |
| Deployment | searched not found | searched not found |
| API surface | OpenAI-compatible REST API, Python SDK (fireworks-ai) | searched not found |
| Multi-tenancy | searched not found | searched not found |
| MCP | searched not found | searched not found |
| A2A | searched not found | searched not found |
| OpenTelemetry | searched not found | searched not found |
| Optimised for | searched not found | searched not found |
| Anti-fit | searched not found | searched not found |
Pros & cons
Fireworks AI
Pros: searched not found
Cons: searched not found
OpenRouter
Pros: searched not found
Cons: searched not found