Baidu Qianfan
7 indexed models
- Headquarters
China
- Server regions
- N/a
- Model types
- 7 text
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Same-model provider benchmark
Compare Baidu Qianfan and Friendli on 3 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
7 indexed models
5 indexed models
At a glance
There is no overall score. Each winner answers one specific question using only directly comparable data.
Fastest on shared models
2.43× typical advantage
3 exact models with complete recent speed data
Lowest token cost
$1.2147 / 1M
3 exact models using a 1K-input/500-output mix
Most models available
7 models
Complete catalog coverage across all indexed modalities
| Metric | Baidu Qianfan | Friendli |
|---|---|---|
| Typical 500-token response | 16.87 s | 5.41 s |
| Typical response start | 1.05 s | 0.95 s |
| Typical output speed | 32.0 tok/s | 112.0 tok/s |
| Blended token price | $1.2147 / 1M | $1.8778 / 1M |
| Typical route uptime | 99.53% | 99.39% |
Visual comparison
Estimated seconds using recent median response-start and output-speed data. Lower is better.
Friendli has the lower typical same-model response ratio across 3 measured models.
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 3 priced shared models.
| Model | Baidu Qianfan | Friendli |
|---|---|---|
GLM 5.2Winner · Friendli z-ai/glm-5.2 | Baidu Qianfan
| Friendli
|
GLM 5.1Winner · Friendli z-ai/glm-5.1 | Baidu Qianfan
| Friendli
|
DeepSeek V3.2Winner · Baidu Qianfan deepseek/deepseek-v3.2 | Baidu Qianfan
| Friendli
|
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 Friendli analysis
Baidu Qianfan and Friendli share 3 indexed text models, including GLM 5.2, GLM 5.1, DeepSeek V3.2. Friendli has the stronger typical response-time result on the directly measured set.
3 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.
3 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.
Baidu Qianfan has 7 indexed models and lists no published server regions; Friendli has 5 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.
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