Fireworks AI
Serverless inference platform for open and custom AI models with low latency and cost efficiency
- Also known as
- fireworks-ai
Available worldwide · Popular in: US, EU
What is Fireworks AI?
An AI inference platform that hosts and serves open-source models and fine-tuned versions with serverless or dedicated deployment options, optimized for speed and cost. Supports multiple LLMs, function calling, multimodal capabilities, and integrates with popular development tools.
Fireworks AI pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Serverless pay-per-token starting at $0.55/million tokens; dedicated deployments available
Serverless
Pay-per-token with Priority and Fast options
- Sub-500ms response times
- Streaming support
- Function calling
- JSON/Grammar modes
On-Demand Dedicated
Contact salesMulti-region dedicated deployments with custom throughput
- Dedicated GPU instances
- Multi-region support
- Custom models
- Priority throughput
What Fireworks AI does
The capabilities that matter for inference providers, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Compute model
- Multi tenant hybrid
- Zero data retention training opt out enterprise
- ✓
- Openai compatible rest API schema
- ✓
- Native function calling and strict json mode
- ✓
- Multimodal vision and audio in out support
- ✓
- Streaming server sent events sse token yield
- ✓
- Massive context window support 100k plus
- ✓
- Lpu or custom silicon for extreme low latency
- ✓
- Bring your own weights byow hosting
- ✓
- Dynamic batching and kv cache management
- ✓
- SOC2 type ii
- ✓
- HIPAA baa compliance for medical inference
- ✓
- Pricing model
- Per million tokens
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- Hybrid
- On-premise
- Self-hosted
Integrations (4)
Independently observed- OpenCode
- Cline
- Aider
- External APIs via function calling
Fireworks AI alternatives
Other inference providers we track, ranked by the same independent score.
Compare Fireworks AI
Side by side against other inference providers, attribute by attribute, with a source on every value.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Fireworks AI, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing transparency | 75 | 0.08 | 6.3 | ✓ |
| Capabilities | 100 | 0.05 | 4.9 | ✓ |
| Price level | 80 | 0.05 | 4.2 | ✓ |
| Security posture | 50 | 0.07 | 3.7 | ✓ |
| Integrations | 20 | 0.04 | 0.8 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Soc2 type ii: Yes · Compute model: multi_tenant_hybrid · Pricing model: per_million_tokens · Openai compatible rest api schema: Yes · Bring your own weights byow hosting: Yes · Dynamic batching and kv cache management: Yes | mediumsource · 2026-08-21 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 4 | mediumsource · 2026-08-21 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: US · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-21 · 75% |