Fireworks AI
Explore Fireworks AI models on TrustedRouter with current routes, token pricing, policy sources, privacy posture, regional availability, and API support.
Fireworks AIfireworks
No provider claim
These privacy labels describe Fireworks AI, the upstream model provider. ZDR is a retention policy; verified confidential inference additionally requires attested provider compute and end-to-end encryption.
| Provider | Fireworks AI |
|---|---|
| Routing status | Active |
| Provider website | https://fireworks.ai/ |
| Models | 19 public models |
| Credits routes | 19 |
| Zero data retention | not claimed |
| Verified confidential inference | Not verified |
| Policy note | No provider-ZDR claim is tracked here. Fireworks publishes security, privacy, and zero-retention documentation; enable a contracted ZDR posture before marking this provider as ZDR. Policy source |
Measured performance
263 samplesContinuously sampled across Fireworks AI's routed models: p50 TTFT, effective throughput, and success rate. Effective throughput uses provider-reported output tokens over complete request time. Unsupported route and probe-configuration rows are separated from provider downtime. No prompt or output content stored.
| p50 TTFT | 1979 ms |
|---|---|
| Effective throughput | 82 tok/s n=9 |
| Uptime | 100.00% |
| Model | p50 TTFT | Effective throughput | Uptime | Config excluded | Availability samples |
|---|---|---|---|---|---|
| minimax/minimax-m3 | 1979 ms | 150 tok/s n=1 | 100.00% | — | 18 |
| meta-models/muse-glimmer-30b | 624 ms | — | 100.00% | — | 2 |
| moonshotai/kimi-k2.7-code | 778 ms | 88 tok/s n=2 | 100.00% | — | 2 |
| z-ai/glm-5.3-fast | 1181 ms | — | 100.00% | — | 1 |
| openai/gpt-oss-120b | 1327 ms | — | 100.00% | — | 3 |
| deepseek/deepseek-v4-flash-0731 | 1541 ms | 12 tok/s n=1 | 100.00% | — | 1 |
| moonshotai/kimi-k2.6 | 1586 ms | — | 100.00% | — | 2 |
| deepseek/deepseek-v4-pro-0813 | 1595 ms | 59 tok/s n=1 | 100.00% | — | 1 |
| z-ai/glm-5.3-flash | 1658 ms | — | 100.00% | — | 1 |
| deepseek/deepseek-v4p1-flash | 1760 ms | — | 100.00% | — | 1 |
| deepseek/deepseek-v4-flash-vision-exp | 1804 ms | — | 100.00% | — | 1 |
| moonshotai/kimi-k3-fast | 1949 ms | — | 100.00% | — | 1 |
| z-ai/glm-5.3 | 2841 ms | — | 100.00% | — | 5 |
| nvidia/nemotron-3-ultra-550b-a55b | 3618 ms | — | 100.00% | — | 1 |
| qwen/qwen3.8-max | 3752 ms | — | 100.00% | — | 1 |
| moonshotai/kimi-k3 | 4072 ms | 49 tok/s n=2 | 100.00% | — | 7 |
| z-ai/glm-5.2-fast | — | 161 tok/s n=1 | 100.00% | — | 215 |
| z-ai/glm-5.2 | — | 82 tok/s n=1 | — | — | 0 |
Fireworks AI performance history · Full provider & model leaderboard.
Models served by Fireworks AI.
Each row links to pricing, provider, benchmark, and API pages for the model.
| Model | AI IQ | Context | Input | Cached input | Output |
|---|---|---|---|---|---|
deepseek/deepseek-v4-flash-0731DeepSeek: DeepSeek V4 Flash 0731 |
— | 1,048,576 | $0.2321/1M | $0.01/1M | $0.6963/1M |
deepseek/deepseek-v4-flash-vision-expDeepSeek: DeepSeek V4 Flash Vision Exp |
IQ 115#42 | 1,048,576 | $0.2321/1M | $0.01/1M | $0.6963/1M |
deepseek/deepseek-v4-pro-0813DeepSeek V4 Pro 0813 |
— | 1,048,576 | $1.3926/1M | $0.04642/1M | $4.1778/1M |
deepseek/deepseek-v4p1-flashDeepseek V4P1 Flash on Fireworks |
— | 1,048,576 | $0.2321/1M | $0.01/1M | $0.6963/1M |
meta-models/muse-glimmer-30bMuse Glimmer 30B on Fireworks |
— | 131,072 | $0.36925/1M | $0.0422/1M | $1.5825/1M |
minimax/minimax-m3MiniMax: MiniMax M3 |
IQ 115#45 | 524,288 | $0.3165/1M | $0.0633/1M | $1.266/1M |
moonshotai/kimi-k2.6MoonshotAI: Kimi K2.6 |
IQ 118#35 | 262,144 | $1.00225/1M | $0.1688/1M | $4.22/1M |
moonshotai/kimi-k2.7-codeMoonshotAI: Kimi K2.7 Code |
IQ 108#66 | 262,144 | $1.00225/1M | $0.20045/1M | $4.22/1M |
moonshotai/kimi-k3MoonshotAI: Kimi K3 |
IQ 121#27 | 1,048,576 | $3.165/1M | $0.3165/1M | $15.825/1M |
moonshotai/kimi-k3-fastKimi K3 Fast on Fireworks |
— | 1,048,576 | $4.7475/1M | $0.47475/1M | $23.7375/1M |
nvidia/nemotron-3-ultra-550b-a55bNVIDIA: Nemotron 3 Ultra |
— | 262,144 | $0.633/1M | $0.1266/1M | $2.532/1M |
nvidia/nemotron-3.5-lightningNVIDIA: Nemotron 3.5 Lightning |
— | 262,144 | $0.05275/1M | $0.01055/1M | $0.211/1M |
openai/gpt-oss-120bOpenAI: gpt-oss-120b |
IQ 98#99 | 131,072 | $0.15825/1M | $0.015825/1M | $0.633/1M |
qwen/qwen3.8-maxQwen3.8 Max |
IQ 122#25 | 1,000,000 | $2.11/1M | $0.26375/1M | $6.33/1M |
z-ai/glm-5.2Z.ai: GLM 5.2 |
IQ 120#28 | 1,048,576 | $1.477/1M | $0.1477/1M | $4.642/1M |
z-ai/glm-5.2-fastGLM 5.2 Fast on Fireworks |
— | 1,048,576 | $2.2155/1M | $0.22155/1M | $6.963/1M |
z-ai/glm-5.3Z.ai: GLM 5.3 |
IQ 123#18 | 1,048,576 | $1.477/1M | $0.2743/1M | $4.642/1M |
z-ai/glm-5.3-fastGLM 5.3 Fast on Fireworks |
— | 1,048,576 | $2.2155/1M | $0.41145/1M | $6.963/1M |
z-ai/glm-5.3-flashZ.ai: GLM 5.3 Flash |
IQ 116#40 | 1,048,576 | $0.15825/1M | $0.03165/1M | $0.5275/1M |
Questions
Does Fireworks AI have zero data retention?
TrustedRouter does not currently mark Fireworks AI as provider-level zero data retention. Use trustedrouter/zdr or provider.min_privacy=zdr to select a different eligible route, and review the linked policy source for changes.
Is Fireworks AI end-to-end encrypted?
TrustedRouter does not currently mark Fireworks AI as end-to-end encrypted at the provider boundary. The TrustedRouter gateway is still attested, but the selected provider normally receives the request in order to run the model. Use trustedrouter/e2e for the stronger route requirement.
Which Fireworks AI models are available through TrustedRouter?
This page currently lists 19 public Fireworks AI models, with live pricing, route count, context length, measured performance when available, and links to each model's provider and benchmark pages.