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Same-model provider benchmark

Baidu Qianfan vs Baseten: LLM provider comparison

Compare Baidu Qianfan and Baseten on 4 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

Baseten

5 indexed models

Headquarters
United States
Server regions
N/a
Model types
5 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

4 exact models with complete recent speed data

Lowest token cost

$1.4849 / 1M

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

Most models available

7 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricBaidu QianfanBaseten
Typical 500-token response13.71 s7.61 s
Typical response start1.14 s1.59 s
Typical output speed40.0 tok/s83.5 tok/s
Blended token price$1.4849 / 1M$2.2467 / 1M
Typical route uptime98.14%99.97%

Visual comparison

Price and performance charts

Baidu QianfanBaseten
500-token response by shared model

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

Baseten 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.

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

Shared text models

4 exact models · newest first

ModelBaidu QianfanBaseten
GLM 5.2Winner · Baseten

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
Baseten
Blended price
$2.4 / 1M
500-token response
5.86 s
Response starts
0.24 s
Output speed
89.0 tok/s
Route uptime
100.00%
Context
256K
Route
baseten/fp8
DeepSeek V4 ProWinner · Baidu Qianfan

deepseek/deepseek-v4-pro

Baidu Qianfan
Blended price
$0.9937 / 1M
500-token response
12.62 s
Response starts
1.26 s
Output speed
44.0 tok/s
Route uptime
98.14%
Context
1M
Route
baidu/fp8
Baseten
Blended price
$2.32 / 1M
500-token response
6.07 s
Response starts
0.45 s
Output speed
89.0 tok/s
Route uptime
99.97%
Context
262.1K
Route
baseten/fp4
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
Baseten
Blended price
$1.9667 / 1M
500-token response
18.00 s
Response starts
3.51 s
Output speed
34.5 tok/s
Route uptime
N/a
Context
262K
Route
baseten/fp4
GLM 5.1Winner · Baseten

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
Baseten
Blended price
$2.3 / 1M
500-token response
9.15 s
Response starts
2.74 s
Output speed
78.0 tok/s
Route uptime
96.53%
Context
202.8K
Route
baseten/fp4

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 Baseten analysis

How Baidu Qianfan and Baseten compare for AI inference

Baidu Qianfan and Baseten share 4 indexed text models, including GLM 5.2, DeepSeek V4 Pro, Kimi K2.6, GLM 5.1. Baseten 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

Baidu Qianfan has 7 indexed models and lists no published server regions; Baseten has 5 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.