Inference comparison
Fireworks AI vs Together AI
Managed inference API against managed inference api. Editorial fit scores help shortlist; live pricing stays on the provider sites.
Editorial scores last reviewed August 7, 2026
Managed inference API
Fireworks AI
Token / request API pricing
Managed inference API
Together AI
Token / request API pricing
Some outbound links use a first-party redirect hop for click counting. Commission is only claimed when a partner programme is active for that specific link — most vendor hops here are not paid placements. Affiliate disclosure.
| Dimension | Fireworks AI | Together AI |
|---|---|---|
| Category | Managed inference API | Managed inference API |
| Billing | Token / request API pricing | Token / request API pricing |
| GPU choice | Managed serving stack | Hidden behind the inference API |
| Cold start | Typically warm API | Low for warm endpoints |
| Model access | Curated high-performance model set | Strong open-model catalog + fine-tunes |
| Best for | Production chat and agent backends that need snappy open-model inference | Serving open-weight models without operating your own GPU fleet |
| Watch out | Compare latency and price per token against peers for your exact model | You trade GPU-level control for API pricing and catalog coverage |
| GPU choice (1–10) | 3/10 | 3/10 |
| Time-to-serving (editorial) (1–10) | 9/10 | 9/10 |
| Price clarity (1–10) | 7/10 | 7/10 |
| Production ops (1–10) | 8/10 | 8/10 |
| Open-model breadth (1–10) | 8/10 | Winner: 9/10 |
Chart
Fit scores on the decision axes
Editorial 1–10 ratings for this pair only — not live pricing or latency benchmarks.
GPU choice
Pick exact GPUs
Time-to-serving (editorial)
Warm-path fit
Price clarity
Easy to forecast
Production ops
Less DIY ops
Open-model breadth
Catalog depth
Scores are editorial planning ratings (1–10) for product shape — not published $/hour quotes or vendor SLAs. Verify current pricing on each provider site.
How to decide
Prefer Fireworks AI when production chat and agent backends that need snappy open-model inference. Prefer Together AI when serving open-weight models without operating your own gpu fleet. If those statements both feel true, rent a GPU for control and keep a managed API for peak traffic — do not force one product to do both jobs.
Common questions
Fireworks AI vs Together AI
Answered from the verified figures on this page rather than general guidance.
How are Fireworks AI and Together AI billed?
Both bill as token / request api pricing. Cost still depends on GPU class, region, and whether instances idle — verify live rates on each site before budgeting.
Which gives more control over the GPU, Fireworks AI or Together AI?
Fireworks AI: Managed serving stack. Together AI: Hidden behind the inference API. Both score 3/10 for GPU flexibility in our editorial ratings. Pick a marketplace when you need a specific SKU; pick serverless or managed APIs when you want the platform to handle hardware.
Which has faster cold starts, Fireworks AI or Together AI?
Fireworks AI: Typically warm API. Together AI: Low for warm endpoints. Both score 9/10 for time to first token in our editorial ratings — validate with your model and traffic pattern. Those 1–10 scores are editorial rankings, not measured milliseconds — record your own TTFT/p95 on a warm endpoint in the target region before you buy on latency.
Should I use Fireworks AI or Together AI?
Choose Fireworks AI when production chat and agent backends that need snappy open-model inference. Choose Together AI when serving open-weight models without operating your own gpu fleet. Watch out: Compare latency and price per token against peers for your exact model You trade GPU-level control for API pricing and catalog coverage