Fireworks
8 indexed models
- Headquarters
United States
- Server regions
- N/a
- Model types
- 8 text
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Same-model provider benchmark
Compare Fireworks and NovitaAI on 8 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
8 indexed models
66 indexed models
At a glance
There is no overall score. Each winner answers one specific question using only directly comparable data.
| Metric | Fireworks | NovitaAI |
|---|---|---|
| Typical 500-token response | 8.60 s | 17.66 s |
| Typical response start | 1.13 s | 2.23 s |
| Typical output speed | 67.8 tok/s | 33.0 tok/s |
| Blended token price | $1.4983 / 1M | $1.2445 / 1M |
| Typical route uptime | 98.68% | 99.37% |
Visual comparison
Estimated seconds using recent median response-start and output-speed data. Lower is better.
Fireworks has the lower typical same-model response ratio across 8 measured models.
USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.
NovitaAI has the lower typical price ratio across 8 priced shared models.
| Model | Fireworks | NovitaAI |
|---|---|---|
GLM 5.2Winner · Fireworks z-ai/glm-5.2 | Fireworks
| NovitaAI
|
Kimi K2.7 CodeWinner · Fireworks moonshotai/kimi-k2.7-code | Fireworks
| NovitaAI
|
DeepSeek V4 ProWinner · NovitaAI deepseek/deepseek-v4-pro | Fireworks
| NovitaAI
|
DeepSeek V4 FlashWinner · Fireworks deepseek/deepseek-v4-flash | Fireworks
| NovitaAI
|
Kimi K2.6Winner · Fireworks moonshotai/kimi-k2.6 | Fireworks
| NovitaAI
|
GLM 5.1Winner · Fireworks z-ai/glm-5.1 | Fireworks
| NovitaAI
|
MiniMax M2.7Winner · Fireworks minimax/minimax-m2.7 | Fireworks
| NovitaAI
|
gpt-oss-20bWinner · NovitaAI openai/gpt-oss-20b | Fireworks
| NovitaAI
|
A per-model winner combines blended price and estimated 500-token response time with equal proportional weight. Ties and rows missing either measurement receive no badge. Comparison data calculated . Values use one deterministic route per provider and model; missing measurements remain visible as N/a.
Fireworks vs NovitaAI analysis
Fireworks and NovitaAI share 8 indexed text models, including GLM 5.2, Kimi K2.7 Code, DeepSeek V4 Pro, DeepSeek V4 Flash, Kimi K2.6. Fireworks has the stronger typical response-time result on the directly measured set.
8 shared models currently have complete response-start and output-speed measurements on both providers. The speed comparison uses per-model ratios before taking the median, so naturally faster model catalogs do not improve the result.
8 shared models have complete input and output prices on both providers. Prices use the same 1,000-input/500-output-token mix and are normalized to one million tokens for readability.
Fireworks has 8 indexed models and lists no published server regions; NovitaAI has 66 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.
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