LunaRoute vs Fireworks AI
Fireworks AI is a high-performance inference platform with a catalog of hundreds of models. You can call supported serverless models per token, or deploy your own with a choice of GPU, precision and region, billed by the GPU-second. LunaRoute serves a curated set of open models tuned for agent work, for a fixed monthly price for included inference.
Choose Fireworks if you want control over how your models are deployed, fine-tuning, or enterprise compliance at scale. Choose LunaRoute if you run agents every day and want a predictable monthly bill without managing deployments.
At a glance
Fireworks details are from its pricing page, model page and docs, checked October 10, 2026. The source list links the references for pricing, Fire Pass, deployment controls, tools and privacy.
| What changes | LunaRoute | Fireworks AI |
|---|---|---|
| How you pay | Base coding plans: $99 to $499.99 per month, sized by priority concurrent requests | Per token on serverless; per GPU-second on dedicated deployments ($8 per GPU-hour for H100 or H200, before region premiums) |
| GLM 5.3 | Included in coding plans. NVFP4 with vision, 512K context | Standard: $1.40 in / $4.40 out per million tokens ($0.26 cached), 1M context |
| Deployment control | We choose and tune the serving setup | You choose supported GPU type, count, precision and region combinations for the model |
| Claude Code | One command generates settings to apply; sessions are part of included inference | FireConnect or environment variables; standard hosted-model calls are billed per token, with Fire Pass and external routes separate |
| Flat-rate coding option | Coding plans, including production work and teams, subject to plan terms | Fire Pass: personal, non-production use, not open to new subscriptions |
| Prompt retention | Zero data retention by default for LunaRoute-hosted inference | Not stored for open models by default, with exceptions (see below) |
| Fine-tuning | No | Yes |
| Tools around the models | Web search, OCR, document conversion, image generation | Model inference, training and deployment, plus native WebSearch and WebFetch in supported coding tools |
| Compliance | Hosted-inference zero data retention by default; dedicated infrastructure on Enterprise | SOC 2 Type II and HIPAA support listed; Enterprise admins can enable ZDR enforcement |
The LunaRoute column describes hosted inference and base coding plans; other plans differ. Model and capacity limits still apply. Metered add-ons and external providers are separate. Zero data retention is a data-handling policy, not a compliance certification. Prices, features and availability can change.
How you pay
Fireworks' standard serverless pricing is per token, at the same list price as several other hosts for GLM 5.3: $1.40 per million input tokens, $4.40 per million output tokens, $0.26 for cached input. Priority and Fast modes cost more; see serverless pricing. For dedicated deployments you pay per GPU-second. The pricing page says there are “no extra charges for start-up times” and lists an H100 or H200 at $8 per GPU-hour. Region-restricted deployments carry a 1.5× premium; total cost also depends on GPU count, replicas and running time.
Both are fair models, and both scale with usage or provisioned GPU time. For an agent that resends context on every step and retries when it fails, that means the bill follows the agent. Cached-input rates can reduce that cost. A dedicated deployment avoids per-token billing but brings back the question of how busy you can keep the GPUs, since provisioned idle capacity still costs money (Should you rent GPUs or use managed inference?).
LunaRoute's base coding plans are a fixed monthly price for 2 to 10 priority concurrent requests, with available overflow included. Long sessions and retries don't add to the included-inference bill, within model and plan limits. Overflow depends on available capacity; queue limits and timeouts still apply, and clients should use bounded retries. Metered add-ons and external providers are separate. More in Concurrency vs token pricing.
What about Fire Pass?
Fireworks has a flat-rate pricing option for coding too. Fire Pass gives “eligible users access to selected open-weight model routers for personal, non-production agentic coding”, with kimi-fast-latest currently resolving to Kimi K3 Fast as the default. As of October 10, 2026, Fireworks' docs say it “is experimental and is not currently open to new subscriptions” (Fire Pass docs). Existing users and promo recipients can still manage their pass; covered routes, limits and terms apply.
LunaRoute's coding plans are flat-rate for included inference, including production work and teams, subject to plan and usage terms. You can sign up today.
Deployment control
This is where Fireworks is strongest. On a dedicated deployment you choose the accelerator (several NVIDIA and AMD options), how many, the precision, the region and how replicas scale, within the combinations supported for your model. Its deployment docs describe validated deployment shapes; not every model runs on every GPU, and regional availability varies. That's real control over the tradeoffs between speed, cost and quality, and you can see what a deployment is made of.
LunaRoute makes those choices for you. We run each model on our own GPUs, tune scheduling and caching for agents (interactive work ahead of background jobs, shared context cached between calls), and test changes before they reach you. If you'd rather not pick GPU shapes and precisions yourself, that's the point.
Claude Code
Fireworks supports Claude Code officially. Its FireConnect tool sets it up, or you can point ANTHROPIC_BASE_URL at Fireworks' Anthropic-compatible endpoint. Standard Fireworks-hosted model calls are billed per token at Fireworks' rates (Fireworks setup guide).
Eligible Fire Pass requests are covered by the pass instead. FireConnect can also route using your Claude login or connected provider keys; those routes have their own billing or subscription terms rather than necessarily the Fireworks hosted-model rate. See FireConnect.
Fireworks also runs Claude Code's native WebSearch and WebFetch tools server-side. Its web search docs say search pricing will be published soon, as of this source check; don't assume it is included in the model token price.
LunaRoute's setup starts with one command, and the sessions are part of your fixed plan's included inference:
npx @lunaroute/cli setup claude-codeThe command prints the environment settings to apply; it does not write Claude Code's configuration or your shell profile. Follow the printed instructions, then restart Claude Code. See the setup steps and Using Claude Code with LunaRoute.
Data retention
Both take privacy seriously. Fireworks says it “does not log or store prompt or generation data for any open models, without explicit user opt-in.” Prompt caching can keep data in volatile memory for several minutes, and Fireworks retains request metadata. There are exceptions: its Responses API stores conversations for 30 days by default unless you set store=False. Stored responses can also be deleted immediately. Enterprise admins can enable an account-wide policy that rejects requests and jobs that would persist or log customer content (data handling docs).
On LunaRoute, prompts and responses for LunaRoute-hosted inference are processed in memory and discarded by default. We retain account, usage and billing metadata. Generated images and URL-based document artifacts can be retained for up to seven days; third-party traffic, including BYOK, follows the upstream provider's policy. See zero data retention.
Fireworks lists SOC 2 Type II and HIPAA support in its security docs. Confirm the applicable deployment and contract scope with Fireworks; see its Trust Center.
Choose Fireworks AI if
- You want to choose the GPU, precision and region for your deployments.
- You need fine-tuning or reinforcement learning on the same platform.
- You need to evaluate SOC 2 Type II or HIPAA coverage at scale.
- Your usage is light, and per-token pricing costs less than a plan for your workload.
Choose LunaRoute if
- You run agents every day and want a fixed monthly bill for included inference, including production work and teams.
- You'd rather not pick GPU shapes and precisions yourself.
- You want Claude Code on open models as part of a flat plan.
- You want web search, OCR and document conversion from the same key.
Switching from Fireworks AI
Both offer OpenAI- and Anthropic-compatible endpoints, so most clients need a new base URL, key and model ID. For OpenAI-compatible clients, use https://gw.lunaroute.com/v1 with your lr_ key and a model from the LunaRoute catalog.
For Anthropic clients that append /v1/messages themselves, use the gateway root, https://gw.lunaroute.com, rather than the OpenAI /v1 base URL. LunaRoute accepts Anthropic Messages at /v1/messages and Responses requests at /v1/responses. For coding agents, the LunaRoute CLI generates the appropriate configuration; the Claude Code setup prints environment settings for you to apply.
FAQ
Is LunaRoute cheaper than Fireworks AI?
It can be for heavy, agent-driven use, but savings depend on the model, token volume and caching. A fixed price makes the included-inference bill predictable; it does not guarantee the lowest cost. For light use, Fireworks' per-token pricing will often cost less, and dedicated deployments can make sense at very high, steady volume. Compare your actual workload using Concurrency vs token pricing.
Does Fireworks have a flat-rate plan for coding?
Fireworks has Fire Pass, a flat-rate pass for personal, non-production agentic coding on selected routes. As of October 10, 2026, its Fire Pass docs say it is experimental and not open to new subscriptions. Existing users and promo recipients can manage their pass, subject to its covered routes, limits and terms.
Can I use Claude Code with Fireworks AI?
Yes. Fireworks supports Claude Code through FireConnect or its Anthropic-compatible endpoint. Standard hosted-model calls are billed per token; eligible Fire Pass usage and routes using Claude credentials or provider keys follow their own terms. See the Fireworks setup guide. LunaRoute supports Claude Code on open models as part of included inference; one setup command prints the settings to apply.
Does Fireworks store my prompts?
Fireworks says it doesn't log or store prompts for open models without opt-in, except that its Responses API keeps conversations for 30 days by default unless you set store=False. It retains request metadata and can cache prompts in volatile memory. Enterprise admins can enable enforcement that rejects content-persisting requests and jobs. See the data handling docs.
Does LunaRoute let me choose GPUs or precision?
No. LunaRoute chooses and tunes the serving setup for each model. If you need that control, Fireworks' dedicated deployments offer supported model/GPU/precision combinations, subject to regional availability.
Sources
Fireworks sources checked October 10, 2026. Prices, deployment options and experimental features are a dated snapshot, not a promise about future availability.
- Pricing and serverless rates: GPU-second billing, per-GPU hourly rates, startup wording, region premiums and token prices.
- GLM 5.3 model page: standard token pricing and context limits.
- Inference and model overview: catalog breadth and the difference between serverless and dedicated model availability.
- Fire Pass: eligibility, current default route, usage restrictions and subscription availability.
- Deployments: validated shapes, hardware, precision, region and replica controls.
- Coding harnesses, FireConnect and web search: setup, routing credentials and native search/fetch capabilities.
- Data handling and data security: retention defaults and exceptions, optional Enterprise enforcement and vendor-listed compliance programs.
- Reinforcement fine-tuning: reinforcement learning support. The pricing page also covers supervised and preference fine-tuning.
Let us run the deployment
Setup starts with one command, and the price for included inference stays the same however long your agents run.