# CodeGateway vs Fireworks

CodeGateway records 3,745 monthly visits with +0.6% month-over-month growth and Free Trial, Paid pricing. Fireworks records 659,687 monthly visits with +6% growth and Contact for Pricing pricing.

| Metric | [CodeGateway](https://openaitools.app/tool/codegateway) | [Fireworks](https://openaitools.app/tool/fireworks-ai) |
| :--- | :--- | :--- |
| Website URL | https://www.codegateway.dev | https://fireworks.ai |
| Categories | AI API, AI Code Assistant, AI Developer Tools | AI API, Large Language Models (LLMs), Open Source AI Models, AI Image Generator |
| Pricing Model | Free Trial, Paid | Contact for Pricing |
| Monthly Visits | 3,745 | 659,687 |
| MoM Growth Rate | +0.6% | +6% |
| Primary Market | United States | United States |
| Direct Visits | 1,230 | 313,827 |
| Review Score | 4.1 | 4.6 |
| Saved Count | 1 | 2 |
| Supported Platforms | Website | Website |

## CodeGateway

CodeGateway is an OpenAI-compatible and Anthropic-compatible gateway aimed at teams rather than individual developers. Instead of each engineer juggling separate provider accounts and cards, a workspace gets one API key that routes to the Claude, GPT, Gemini and DeepSeek model families. You invite members, assign owner, admin or member roles, and everyone draws from a single shared balance that is settled on one invoice.

The main practical advantage is setup simplicity. CodeGateway exposes Anthropic Messages, OpenAI Chat Completions and OpenAI Responses endpoints, so tools such as Claude Code, Cursor and Codex CLI work after changing the base_url — no code rewrite required. Requests are routed from Cloudflare's global edge network, which keeps latency consistently low wherever the team is based.

Pricing is deliberately transparent: a flat 1.07x markup on upstream provider list prices, with a 2% service fee applied only at top-up, and no monthly subscription. Balance never expires, so unused credit carries over indefinitely. Top-ups accept credit cards, Stripe Link, Alipay and bank transfer, and self-service refunds are available for unused balance. CodeGateway is operated by WHITEDIT LTD, registered in England and Wales.

**Pricing & Plans:** Usage-based pay-as-you-go with no monthly fee. Consumption is billed at a flat 1.07x markup over upstream provider list prices, with a 2% top-up service fee (plus card processing). Top-ups start from $5 and balance never expires; example packages are shown at $10, $20 and $50 tiers, with a free credit offered when you bind a card.

- **Team workspaces and shared balance:** Create a workspace, share one balance across members with owner, admin and member roles, and settle everything on a single invoice.
- **Multi-model, multi-protocol access:** One API key reaches Anthropic, OpenAI, Google and DeepSeek families through Anthropic Messages, OpenAI Chat Completions and Responses endpoints.
- **Usage and cost traceability:** Live token usage, cost breakdowns, per-member attribution and exportable billing so you know where spend goes.
- **Low-latency global routing:** Requests are served from Cloudflare's global edge, keeping latency low for geographically spread teams.
- **Security by default:** API keys are stored as SHA-256 hashes, traffic is HTTPS-encrypted and conversations are not inspected.

**Strengths:** One key and one bill for Claude, GPT, Gemini and DeepSeek; No monthly fee and balance never expires; Flat, transparent 1.07x markup regardless of spend tier; Drop-in compatibility with Claude Code, Cursor and Codex CLI via base_url change

**Limitations:** The 1.07x markup plus a 2% top-up fee makes it slightly costlier than going direct with a provider; It is a proxy layer, so it depends on upstream providers' availability and terms; No monthly plan may suit teams that prefer predictable flat billing

[Profile (Markdown)](https://openaitools.app/tool/codegateway.md)

## Fireworks

Fireworks is a platform for teams that want to own their AI rather than rent it. Its core claim is a co-optimised stack: inference, model ensembling and training built to work together, from CUDA kernels and caching up through routing and fine-tuning. Inference is optimised for speed, quality and cost — the company reports up to 4x the throughput of providers wrapping vLLM, quality benchmarked against each model's reference implementation, and cache hit rates high enough that cached input costs half or less.

The platform is explicitly multi-model. Rather than betting on a single frontier API, teams start with state-of-the-art open models, then improve their economics by routing or ensembling across models on a per-turn basis, optimising accuracy and cost per finished task. Where a general model is not enough, training lets you specialise a model on the data that makes your business distinctive.

Deployment flexibility matters as much as performance. You can run serverless and reserve throughput as you grow, keep data local, and reach 30+ regions behind one endpoint with policy-aligned data residency. Fireworks publishes a model library, docs, cookbooks and cookbooks-style resources for developers, and holds SOC 2 Type 2, ISO 27001, ISO 27701 and ISO 42001 certifications — the last of which covers AI management systems, a signal aimed squarely at regulated enterprises.

**Pricing & Plans:** Usage-based pricing for inference, with per-million-token rates that vary by model, plus serverless options and reserved throughput for predictable loads. Training and ensembling carry their own charges. Enterprise and startup programs are available, and interested teams are directed to contact sales for platform, sovereign and custom deployments.

- **High-throughput inference:** Run open models and your own fine-tunes at up to 4x the throughput of providers that wrap vLLM, with lab-designed quality verified against reference implementations.
- **Cost-optimised caching:** Reach up to 99.6% cache hit rates, with cached input priced at half or less, so recurring workloads cost far less than emitting every token fresh.
- **Model ensembling and routing:** Route each turn to the model best suited to it, balancing accuracy against cost per completed task rather than locking in one model.
- **Training and specialisation:** Fine-tune open models on proprietary data to build domain-specific intelligence that competitors cannot simply rent from a frontier lab.
- **Global deployment with data residency:** One endpoint spanning 30+ regions, your cloud or Fireworks', with policy-aligned residency plus SOC 2 Type 2, ISO 27001 and ISO 42001 compliance.

**Strengths:** Co-optimised inference, ensembling and training in one stack; Open-model focus avoids being locked into one vendor's frontier pricing; Strong throughput, quality benchmarking and cache economics for high-volume workloads; Deployment flexibility including your cloud, your data locality and 30+ regions

[Profile (Markdown)](https://openaitools.app/tool/fireworks-ai.md)

## Frequently Asked Questions

### How do CodeGateway and Fireworks compare in monthly traffic?

CodeGateway has 3,745 monthly visits, while Fireworks has 659,687. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

CodeGateway has a month-over-month growth rate of +0.6%; Fireworks has +6%.

### How does pricing compare?

CodeGateway: Free Trial, Paid. Usage-based pay-as-you-go with no monthly fee. Consumption is billed at a flat 1.07x markup over upstream provider list prices, with a 2% top-up service fee (plus card processing). Top-ups start from $5 and balance never expires; example packages are shown at $10, $20 and $50 tiers, with a free credit offered when you bind a card. Fireworks: Contact for Pricing. Usage-based pricing for inference, with per-million-token rates that vary by model, plus serverless options and reserved throughput for predictable loads. Training and ensembling carry their own charges. Enterprise and startup programs are available, and interested teams are directed to contact sales for platform, sovereign and custom deployments.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Acts as a unified API gateway across multiple providers, but lacks dedicated fine-tuning and custom model deployment infrastructure. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [Groq](https://openaitools.app/tool/groq) | 3,987,936 | +10% | Paid | Delivers ultra-fast token generation speeds using custom LPU hardware, but supports a smaller catalog of open models. | [.md](https://openaitools.app/tool/groq.md) |
| 3 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Specializes in lightning-fast serverless inference for generative media models, but focuses less on general text LLMs. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 4 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Provides robust serverless inference and model fine-tuning similar to Fireworks, but with a broader developer cloud ecosystem. | [.md](https://openaitools.app/tool/together-ai.md) |
| 5 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control | [.md](https://openaitools.app/tool/orcarouter.md) |
| 6 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Features seamless deployment and fine-tuning for machine learning models, but can have higher latency for text inference. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 7 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Open-source, memory-efficient fine-tuning and local model running | [.md](https://openaitools.app/tool/unsloth-ai.md) |
| 8 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | One OpenAI-compatible API for 500+ image, video, audio, and LLM models | [.md](https://openaitools.app/tool/atlas-cloud.md) |
| 9 | [CometAPI](https://openaitools.app/tool/cometapi) | 602,966 | +49.7% | Pay-as-you-go (credits) | One OpenAI-compatible API key for 500+ AI models | [.md](https://openaitools.app/tool/cometapi.md) |
| 10 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | One open-source AI gateway for 100+ LLM providers | [.md](https://openaitools.app/tool/litellm.md) |

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Source: https://openaitools.app/compare/codegateway-vs-fireworks-ai

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)