Fireworks AI vs Modal

A detailed comparison to help you choose between Fireworks AI and Modal.

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Verdict: Modal wins

Modal scores 4.4/5, edging out Fireworks AI at 4.3/5. Python-first ML engineers and small teams with spiky GPU workloads — inference bursts, batch jobs, agent sandboxes — who want GPU economics without GPU operations.

Fireworks AI

Fireworks AI

Fastest open-source model inference

Modal

Modal

Run AI workloads serverlessly in Python

Rating4.3 (1 review)4.4 (1 review)
Pricing Modelusage-basedfreemium
Starting PricePricing variesFree tier available
Best ForDevelopers and ML teams shipping open-weight models where serving latency and fine-tuning cost determine the product economics.Python-first ML engineers and small teams with spiky GPU workloads — inference bursts, batch jobs, agent sandboxes — who want GPU economics without GPU operations.
Free Tier
API Access
Team Features
Open Source
Tags
api accessfree tier
free tierapi access
Visit Fireworks AI →Visit Modal →

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 →

Modal

Pros

  • + Slim-image containers accepted work in ~1-3s from zero in my tests; heavyweight torch+7B init ran 15-25s, consistent with the docs' seconds-to-minutes range
  • + Per-second metering reconciled against my own container-uptime arithmetic within a percent or two over several weeks
  • + Fan-out to 50 workers took one decorator and no queue plumbing; scaling up and back was invisible in the code
  • + Full public rate card: H100 $0.001097/sec down to T4 $0.000164/sec, plus $30/month free credits on the Starter plan
  • + Sandboxes (1B+ instances launched per company figures) give a built-in answer for running AI-generated code safely

Cons

  • - Python only — no first-class Go, Rust or Node story for polyglot teams
  • - Billing covers container uptime including cold starts: a 20s model load on H100 costs ~$0.022 per spin-up
  • - Plan ceilings bite early (Starter: 10 GPU concurrency, 1-day log retention); region is 1.15-1.75x and non-preemptible/Sandboxes 3x
  • - No model catalogue — checkpoint serving and inference frameworks are your own code
  • - HIPAA, SSO and audit logs are Enterprise-tier, pushing regulated workloads into a sales process
View full Modalreview →

Frequently Asked Questions

Which is better, Fireworks AI or Modal?▼
Modal scores higher at 4.4/5 vs 4.3/5 for Fireworks AI, making it the better-rated option in our comparison.
What is the difference between Fireworks AI and Modal?▼
Fireworks AI: Fireworks AI is an inference and fine-tuning platform for open models, used to serve and specialise them in production. Modal: Modal runs Python code on cloud CPUs and GPUs without managing infrastructure, used for AI inference, training and batch data jobs.
Is Fireworks AI or Modal more affordable?▼
Fireworks AI starts at €0/mo, Modal starts at €0/mo. Check the comparison table above for current pricing.

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