--- title: Fireworks AI slug: fireworks-ai url: "https://toolweight.com/tools/fireworks-ai" homepage: "https://fireworks.ai" categories: llm-apis last_verified: 2026-11-07 dataset_version: 0738be72 license: CC-BY-4.0 --- # Fireworks AI > Fast open-weight inference with strong structured-output support - Competes with Together on the same ground: serverless open-weight inference, dedicated deployments, fine-tuning - Differentiates on latency engineering and constrained decoding - Grammar and JSON-schema enforcement more reliable than most hosts - A reasonable default when output must parse every time ## Identity | | | | --- | --- | | Name | Fireworks AI | | Company | Fireworks AI | | One-liner | Fast open-weight inference with strong structured-output support | | Site | https://fireworks.ai | | Docs | https://docs.fireworks.ai | | Founded | 2022 | | Funding | Venture-backed | | Open source | No | | Compared in | 1 | ## Where it is compared ### [LLM APIs](https://toolweight.com/compare/llm-apis) Ranked **#6 of 18** on default weights. | Field | Value | Confidence | Verified | Source | Note | Permalink | | --- | --- | --- | --- | --- | --- | --- | | Flagship model | Open-weight catalogue, DeepSeek, Kimi K2, Qwen3, Llama 4 | Vendor-claimed | 2026-01-15 | https://docs.fireworks.ai/models/overview | - | https://toolweight.com/compare/llm-apis#fireworks-ai--flagship_model | | Context window | - | Unknown | - | - | Per-model. | https://toolweight.com/compare/llm-apis#fireworks-ai--context_window | | Max output | - | Unknown | - | - | Per-model. | https://toolweight.com/compare/llm-apis#fireworks-ai--max_output | | Image input | ◐ | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#fireworks-ai--vision | | Audio in/out | ◐ | Inferred | 2026-01-15 | - | Transcription models are offered; no native speech output. | https://toolweight.com/compare/llm-apis#fireworks-ai--audio_io | | Open weights | ● | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#fireworks-ai--open_weights | | OpenAI-compat API | ● | Vendor-claimed | 2026-01-15 | https://docs.fireworks.ai/tools-sdks/openai-compatibility | - | https://toolweight.com/compare/llm-apis#fireworks-ai--openai_compatible | | TTFT p50 | - | Unknown | - | - | - | https://toolweight.com/compare/llm-apis#fireworks-ai--ttft_p50 | | Output tok/s | - | Unknown | - | - | - | https://toolweight.com/compare/llm-apis#fireworks-ai--throughput_tps | | $/M input | $0.1/M tok | Vendor-claimed | 2026-11-07 | https://fireworks.ai/pricing | - | https://toolweight.com/compare/llm-apis#fireworks-ai--price_in | | $/M output | $0.05/M tok | Vendor-claimed | 2026-11-07 | https://fireworks.ai/pricing | - | https://toolweight.com/compare/llm-apis#fireworks-ai--price_out | | $/M cache read | $0.05/M tok | Vendor-claimed | 2026-11-07 | https://fireworks.ai/pricing | - | https://toolweight.com/compare/llm-apis#fireworks-ai--cached_input | | Batch discount | 50% | Vendor-claimed | 2026-11-07 | https://docs.fireworks.ai/guides/batch-inference | - | https://toolweight.com/compare/llm-apis#fireworks-ai--batch_discount | | Tool use | ◐ | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#fireworks-ai--tool_use | | Schema output | ● | Vendor-claimed | 2026-01-15 | https://docs.fireworks.ai/structured-responses/structured-response-formatting | Grammar-based and JSON-schema constrained decoding, more reliable than most open-weight hosts. | https://toolweight.com/compare/llm-apis#fireworks-ai--structured_output | | Effort control | ○ | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#fireworks-ai--reasoning_effort | | Computer use | ○ | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#fireworks-ai--computer_use | | MCP support | ○ | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#fireworks-ai--mcp_support | | Cache TTL | Automatic; cached prompts stay at least several minutes, up to several hours depending on model and load; oldest evicted first | Vendor-claimed | 2026-11-07 | https://docs.fireworks.ai/guides/prompt-caching | - | https://toolweight.com/compare/llm-apis#fireworks-ai--prompt_cache_ttl | | Continuity policy | Same shape as Together: a published deprecations list, serverless models retired on weeks of notice when demand falls, and dedicated deployments as the stable option. Open weights throughout mean no retirement is terminal, only inconvenient. | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#fireworks-ai--continuity_policy | | Notice period | 14 days | Vendor-claimed | 2026-11-07 | https://docs.fireworks.ai/faq-new/deployment-infrastructure/do-you-provide-notice-before-removing-model-availability | - | https://toolweight.com/compare/llm-apis#fireworks-ai--deprecation_notice | | Pinnable versions | ● | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#fireworks-ai--pinned_snapshots | | Zero retention | ● | Vendor-claimed | 2026-11-07 | https://docs.fireworks.ai/guides/security_compliance/data_handling | Open models only; Response API conversations stored up to 30 days by default. | https://toolweight.com/compare/llm-apis#fireworks-ai--zero_retention | | Trains on your data | ○ | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#fireworks-ai--trains_on_data | | AU region | ○ | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#fireworks-ai--au_region | | API since | 2023 | Inferred | - | - | - | https://toolweight.com/compare/llm-apis#fireworks-ai--launch_year | | Positioning | Low-latency open-weight inference with strict structured output | Inferred | - | - | - | https://toolweight.com/compare/llm-apis#fireworks-ai--positioning | **Verdict.** Hard to separate from Together, but stronger on constrained decoding and latency; pick it when output must parse every time. ## Alternatives - [Qwen](https://toolweight.com/tools/alibaba-qwen), Alibaba's model family, huge open-weight range, closed flagship - [Amazon Bedrock](https://toolweight.com/tools/amazon-bedrock), Multi-vendor model access inside your existing AWS account - [Anthropic](https://toolweight.com/tools/anthropic), Claude models, built around long agentic runs and tool use - [Cerebras](https://toolweight.com/tools/cerebras), Wafer-scale inference, the fastest tokens per second available - [Cohere](https://toolweight.com/tools/cohere), Enterprise-focused models built for RAG and private deployment - [DeepSeek](https://toolweight.com/tools/deepseek), Frontier-adjacent models at a small fraction of Western prices - [Google Gemini](https://toolweight.com/tools/google-gemini), Gemini via AI Studio for prototyping or Vertex AI for production - [Groq](https://toolweight.com/tools/groq), Custom LPU silicon serving open-weight models at extreme speed - [Meta Llama](https://toolweight.com/tools/meta-llama), Open-weight Llama models, hosted almost everywhere but Meta - [Mistral AI](https://toolweight.com/tools/mistral-ai), European lab with an open-weight lineage and EU-resident hosting - [Moonshot AI](https://toolweight.com/tools/moonshot-ai), Kimi models, open-weight agentic performance at low cost - [OpenAI](https://toolweight.com/tools/openai), GPT models plus audio, images and embeddings on one bill ## Licence and attribution Data from Toolweight (https://toolweight.com), licensed CC-BY-4.0. - Licence: [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) - Canonical HTML: https://toolweight.com/tools/fireworks-ai - Machine-readable: https://toolweight.com/tools/fireworks-ai.md · https://toolweight.com/api/v1 · https://toolweight.com/mcp - Toolweight takes no affiliate revenue and sells no placements.