Weights & Biases vs Fireworks AI

A detailed comparison to help you choose between Weights & Biases and Fireworks AI.

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Verdict: Fireworks AI wins

Fireworks AI scores 4.3/5, edging out Weights & Biases at 4.2/5. Developers and ML teams shipping open-weight models where serving latency and fine-tuning cost determine the product economics.

Weights & Biases

Weights & Biases

MLOps platform for AI model development

Fireworks AI

Fireworks AI

Fastest open-source model inference

Rating4.2 (1 review)4.3 (1 review)
Pricing Modelfreemiumusage-based
Starting PriceFree tier availablePricing varies
Best ForML engineers and data scientists who want near-zero-friction experiment tracking with LLM evaluation under one roof, in teams small enough for Pro or ready for Enterprise.Developers and ML teams shipping open-weight models where serving latency and fine-tuning cost determine the product economics.
Free Tier
API Access
Team Features
Open Source
Tags
free tierteam featuresapi access
api accessfree tier
Visit Weights & Biases →Visit Fireworks AI →

Weights & Biases

Pros

  • + Instrumenting a PyTorch loop took about ten lines and gave me usable loss curves, system metrics and sweeps within minutes
  • + Free tier genuinely works for personal projects: 5 seats, 5 GB storage, and experiment tracking plus Weave tracing at $0
  • + One account covers classic training runs and LLM tracing/evaluation via Weave, so I did not need a second vendor for the eval project
  • + Artifacts with lineage let me version datasets and models and reconstruct which data produced which checkpoint
  • + The 30 September 2026 CoreWeave Forge sign-in migration was a non-event in my account — credentials, projects and runs carried over

Cons

  • - Weave ingestion overage at $0.10/MB on Pro punishes verbose LLM logging; my evaluation project blew through the 1.5 GB/month inclusion
  • - Pro plans are capped at organisations under 50 employees — a growing client was moved to an Enterprise conversation mid-project
  • - Four metered dimensions at once (seats, storage, ingestion, inference) make bills hard to forecast without instrumentation
  • - Enterprise is quote-based with self-serve pricing stopping at Pro, so the step-up is a sales process
  • - Pre-acquisition pricing write-ups (per tracked-hour tiers) are now stale and mislead buyers comparing quotes
View full Weights & Biasesreview →

Fireworks AI

Pros

  • + DeepSeek R1 Fast reached 80-95 output tokens/sec in my low-batch tests, close to the vendor's 90 tok/s serverless figure
  • + Grammar-constrained decoding on DeepSeek V3 returned schema-valid JSON on all 200 extraction calls in my batch
  • + LoRA SFT on a 7B-class model went from dataset upload to deployable adapter in under an hour, served at base-model pricing
  • + Training price card is fully public: $0.50/1M tokens (LoRA SFT, <=16B) up to $10.00/1M (>300B), DPO double
  • + On-demand GPU pricing is published per hour (H100/H200 $8, B200 $13, B300 $15) with zero charge for start-up time

Cons

  • - Open models only — my scanned-forms extraction task needed a frontier fallback Fireworks does not offer
  • - Same model prices differently across Standard/Priority/Fast paths, and third-party trackers disagree with the vendor blog
  • - DeepSeek R1 model card lists serverless as unsupported while a Fast serverless deployment exists — documentation contradicts itself
  • - Self-serve stops at shared serverless: R1 fine-tuning, QAT, region pinning and enterprise rate limits are sales-gated
  • - Shared-serverless latency is load-dependent by the vendor's own statement, so demo numbers are not an SLA
View full Fireworks AIreview →

Frequently Asked Questions

Which is better, Weights & Biases or Fireworks AI?▼
Fireworks AI scores higher at 4.3/5 vs 4.2/5 for Weights & Biases, making it the better-rated option in our comparison.
What is the difference between Weights & Biases and Fireworks AI?▼
Weights & Biases: Weights & Biases tracks machine learning experiments, datasets and model versions, and compares training runs across a team. Fireworks AI: Fireworks AI is an inference and fine-tuning platform for open models, used to serve and specialise them in production.
Is Weights & Biases or Fireworks AI more affordable?▼
Weights & Biases starts at €0/mo, Fireworks AI starts at €0/mo. Check the comparison table above for current pricing.

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