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Same-model provider benchmark

Fireworks vs Phala: LLM provider comparison

Compare Fireworks and Phala on 4 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

Fireworks

8 indexed models

Headquarters
United States
Server regions
N/a
Model types
8 text

Phala

18 indexed models

Headquarters
United States
Server regions
N/a
Model types
18 text

At a glance

Metric winners

There is no overall score. Each winner answers one specific question using only directly comparable data.

Fastest on shared models

Fireworks

2.77× typical advantage

4 exact models with complete recent speed data

Lowest token cost

Fireworks

$1.7283 / 1M

4 exact models using a 1K-input/500-output mix

Most models available

Phala

18 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricFireworksPhala
Typical 500-token response8.19 s22.32 s
Typical response start0.82 s2.47 s
Typical output speed68.8 tok/s33.0 tok/s
Blended token price$1.7283 / 1M$1.7358 / 1M
Typical route uptime99.31%93.30%

Visual comparison

Price and performance charts

FireworksPhala
500-token response by shared model

Estimated seconds using recent median response-start and output-speed data. Lower is better.

Fireworks has the lower typical same-model response ratio across 4 measured models.

Blended token price by shared model

USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.

Fireworks has the lower typical price ratio across 4 priced shared models.

Shared text models

4 exact models · newest first

ModelFireworksPhala
GLM 5.2Winner · Fireworks

z-ai/glm-5.2

Fireworks
Blended price
$2.4 / 1M
500-token response
11.65 s
Response starts
1.23 s
Output speed
48.0 tok/s
Route uptime
99.00%
Context
1M
Route
fireworks
Phala
Blended price
$2.4 / 1M
500-token response
16.81 s
Response starts
2.10 s
Output speed
34.0 tok/s
Route uptime
86.82%
Context
1M
Route
phala
Kimi K2.6Winner · Fireworks

moonshotai/kimi-k2.6

Fireworks
Blended price
$1.9667 / 1M
500-token response
6.99 s
Response starts
0.41 s
Output speed
76.0 tok/s
Route uptime
N/a
Context
262.1K
Route
fireworks
Phala
Blended price
$2.26 / 1M
500-token response
27.84 s
Response starts
2.84 s
Output speed
20.0 tok/s
Route uptime
N/a
Context
262.1K
Route
phala
GLM 5.1Winner · Fireworks

z-ai/glm-5.1

Fireworks
Blended price
$2.4 / 1M
500-token response
9.40 s
Response starts
1.27 s
Output speed
61.5 tok/s
Route uptime
87.25%
Context
202.8K
Route
fireworks
Phala
Blended price
$2.2067 / 1M
500-token response
38.16 s
Response starts
22.53 s
Output speed
32.0 tok/s
Route uptime
N/a
Context
202.8K
Route
phala
gpt-oss-20bWinner · Fireworks

openai/gpt-oss-20b

Fireworks
Blended price
$0.1467 / 1M
500-token response
4.43 s
Response starts
0.34 s
Output speed
122.0 tok/s
Route uptime
99.62%
Context
131.1K
Route
fireworks
Phala
Blended price
$0.0767 / 1M
500-token response
9.39 s
Response starts
0.62 s
Output speed
57.0 tok/s
Route uptime
99.78%
Context
131.1K
Route
phala

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 Phala analysis

How Fireworks and Phala compare for AI inference

Fireworks and Phala share 4 indexed text models, including GLM 5.2, Kimi K2.6, GLM 5.1, gpt-oss-20b. Fireworks has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

4 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.

Token pricing on one workload

4 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.

Catalog and deployment differences

Fireworks has 8 indexed models and lists no published server regions; Phala has 18 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.

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