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Same-model provider benchmark

Baidu Qianfan vs Phala: LLM provider comparison

Compare Baidu Qianfan and Phala on 5 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

Baidu Qianfan

7 indexed models

Headquarters
China
Server regions
N/a
Model types
7 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

1.88× typical advantage

5 exact models with complete recent speed data

Lowest token cost

$1.2907 / 1M

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

Most models available

18 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricBaidu QianfanPhala
Typical 500-token response14.79 s27.84 s
Typical response start1.04 s2.96 s
Typical output speed36.0 tok/s25.0 tok/s
Blended token price$1.2907 / 1M$1.9667 / 1M
Typical route uptime99.77%92.68%

Visual comparison

Price and performance charts

Baidu QianfanPhala
500-token response by shared model

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

Baidu Qianfan has the lower typical same-model response ratio across 5 measured models.

Blended token price by shared model

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

Baidu Qianfan has the lower typical price ratio across 5 priced shared models.

Shared text models

5 exact models · newest first

ModelBaidu QianfanPhala
GLM 5.2Winner · Baidu Qianfan

z-ai/glm-5.2

Baidu Qianfan
Blended price
$1.67 / 1M
500-token response
11.25 s
Response starts
1.05 s
Output speed
49.0 tok/s
Route uptime
99.53%
Context
1M
Route
baidu/fp8
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 · Baidu Qianfan

moonshotai/kimi-k2.6

Baidu Qianfan
Blended price
$1.596 / 1M
500-token response
14.79 s
Response starts
0.90 s
Output speed
36.0 tok/s
Route uptime
99.34%
Context
262.1K
Route
baidu/fp4
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 · Baidu Qianfan

z-ai/glm-5.1

Baidu Qianfan
Blended price
$1.68 / 1M
500-token response
16.87 s
Response starts
1.24 s
Output speed
32.0 tok/s
Route uptime
79.26%
Context
202.8K
Route
baidu/fp8
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
GLM 5Winner · Baidu Qianfan

z-ai/glm-5

Baidu Qianfan
Blended price
$1.2133 / 1M
500-token response
13.46 s
Response starts
0.96 s
Output speed
40.0 tok/s
Route uptime
99.35%
Context
202.8K
Route
baidu/fp8
Phala
Blended price
$1.9667 / 1M
500-token response
22.96 s
Response starts
2.96 s
Output speed
25.0 tok/s
Route uptime
N/a
Context
202.8K
Route
phala
DeepSeek V3.2Winner · Baidu Qianfan

deepseek/deepseek-v3.2

Baidu Qianfan
Blended price
$0.294 / 1M
500-token response
27.36 s
Response starts
1.04 s
Output speed
19.0 tok/s
Route uptime
100.00%
Context
131.1K
Route
baidu/fp8
Phala
Blended price
$1 / 1M
500-token response
66.48 s
Response starts
3.98 s
Output speed
8.0 tok/s
Route uptime
98.54%
Context
163.8K
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.

Baidu Qianfan vs Phala analysis

How Baidu Qianfan and Phala compare for AI inference

Baidu Qianfan and Phala share 5 indexed text models, including GLM 5.2, Kimi K2.6, GLM 5.1, GLM 5, DeepSeek V3.2. Baidu Qianfan has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

5 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

5 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

Baidu Qianfan has 7 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.