SiliconFlow
36 indexed models
- Headquarters
Singapore
- Server regions
United States
- Model types
- 35 text, 1 embeddings
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Same-model provider benchmark
Compare SiliconFlow and Venice on 15 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
36 indexed models
29 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
1.57× typical advantage
15 exact models with complete recent speed data
Lowest token cost
$1.0671 / 1M
15 exact models using a 1K-input/500-output mix
Most models available
36 models
Complete catalog coverage across all indexed modalities
| Metric | SiliconFlow | Venice |
|---|---|---|
| Typical 500-token response | 23.66 s | 14.61 s |
| Typical response start | 1.92 s | 1.32 s |
| Typical output speed | 23.0 tok/s | 38.0 tok/s |
| Blended token price | $1.0671 / 1M | $1.1579 / 1M |
| Typical route uptime | 97.90% | 99.49% |
Visual comparison
Estimated seconds using recent median response-start and output-speed data. Lower is better.
Venice has the lower typical same-model response ratio across 15 measured models.
USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.
SiliconFlow has the lower typical price ratio across 15 priced shared models.
| Model | SiliconFlow | Venice |
|---|---|---|
GLM 5.2Winner · Venice z-ai/glm-5.2 | SiliconFlow
| Venice
|
Kimi K2.7 CodeWinner · Venice moonshotai/kimi-k2.7-code | SiliconFlow
| Venice
|
Qwen3.6 27BWinner · Venice qwen/qwen3.6-27b | SiliconFlow
| Venice
|
DeepSeek V4 ProWinner · SiliconFlow deepseek/deepseek-v4-pro | SiliconFlow
| Venice
|
DeepSeek V4 FlashWinner · SiliconFlow deepseek/deepseek-v4-flash | SiliconFlow
| Venice
|
Kimi K2.6Winner · Venice moonshotai/kimi-k2.6 | SiliconFlow
| Venice
|
GLM 5.1Winner · SiliconFlow z-ai/glm-5.1 | SiliconFlow
| Venice
|
Gemma 4 26B A4BWinner · Venice google/gemma-4-26b-a4b-it | SiliconFlow
| Venice
|
Gemma 4 31BWinner · Venice google/gemma-4-31b-it | SiliconFlow
| Venice
|
Qwen3.5-9BWinner · Venice qwen/qwen3.5-9b | SiliconFlow
| Venice
|
Qwen3.5-35B-A3BWinner · Venice qwen/qwen3.5-35b-a3b | SiliconFlow
| Venice
|
MiniMax M2.5Winner · Venice minimax/minimax-m2.5 | SiliconFlow
| Venice
|
GLM 5Winner · Venice z-ai/glm-5 | SiliconFlow
| Venice
|
Kimi K2.5Winner · Venice moonshotai/kimi-k2.5 | SiliconFlow
| Venice
|
DeepSeek V3.2Winner · SiliconFlow deepseek/deepseek-v3.2 | SiliconFlow
| Venice
|
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.
SiliconFlow vs Venice analysis
SiliconFlow and Venice share 15 indexed text models, including GLM 5.2, Kimi K2.7 Code, Qwen3.6 27B, DeepSeek V4 Pro, DeepSeek V4 Flash. Venice has the stronger typical response-time result on the directly measured set.
15 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.
15 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.
SiliconFlow has 36 indexed models and lists 1 published server region; Venice has 29 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.
Related same-model benchmarks
Explore qualified alternatives with the most shared measured models. Recommendations include comparisons for both SiliconFlow and Venice.