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Same-model provider benchmark

NextBit vs SiliconFlow: LLM provider comparison

Compare NextBit and SiliconFlow on 3 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

NextBit

13 indexed models

Headquarters
Spain
Server regions
Spain
Model types
13 text

SiliconFlow

36 indexed models

Headquarters
Singapore
Server regions
United States
Model types
35 text, 1 embeddings

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

2.86× typical advantage

3 exact models with complete recent speed data

Lowest token cost

$0.3733 / 1M

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

Most models available

36 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricNextBitSiliconFlow
Typical 500-token response32.88 s21.58 s
Typical response start1.91 s1.69 s
Typical output speed16.0 tok/s25.0 tok/s
Blended token price$0.3733 / 1M$0.3844 / 1M
Typical route uptime99.38%98.57%

Visual comparison

Price and performance charts

NextBitSiliconFlow
500-token response by shared model

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

SiliconFlow has the lower typical same-model response ratio across 3 measured models.

Blended token price by shared model

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

NextBit has the lower typical price ratio across 3 priced shared models.

Shared text models

3 exact models · newest first

ModelNextBitSiliconFlow
DeepSeek V4 FlashWinner · SiliconFlow

deepseek/deepseek-v4-flash

NextBit
Blended price
$0.2367 / 1M
500-token response
32.88 s
Response starts
1.63 s
Output speed
16.0 tok/s
Route uptime
94.46%
Context
1M
Route
nextbit/fp8
SiliconFlow
Blended price
$0.18 / 1M
500-token response
11.49 s
Response starts
1.69 s
Output speed
51.0 tok/s
Route uptime
98.57%
Context
1M
Route
siliconflow/fp8
Gemma 4 26B A4BWinner · SiliconFlow

google/gemma-4-26b-a4b-it

NextBit
Blended price
$0.1967 / 1M
500-token response
75.94 s
Response starts
4.51 s
Output speed
7.0 tok/s
Route uptime
99.38%
Context
262.1K
Route
nextbit/bf16
SiliconFlow
Blended price
$0.2133 / 1M
500-token response
21.58 s
Response starts
1.58 s
Output speed
25.0 tok/s
Route uptime
99.95%
Context
262.1K
Route
siliconflow/fp8
Qwen3.5-35B-A3BWinner · NextBit

qwen/qwen3.5-35b-a3b

NextBit
Blended price
$0.6867 / 1M
500-token response
18.04 s
Response starts
1.91 s
Output speed
31.0 tok/s
Route uptime
99.41%
Context
262.1K
Route
nextbit/fp8
SiliconFlow
Blended price
$0.76 / 1M
500-token response
33.86 s
Response starts
4.44 s
Output speed
17.0 tok/s
Route uptime
83.07%
Context
262.1K
Route
siliconflow/fp8

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.

NextBit vs SiliconFlow analysis

How NextBit and SiliconFlow compare for AI inference

NextBit and SiliconFlow share 3 indexed text models, including DeepSeek V4 Flash, Gemma 4 26B A4B, Qwen3.5-35B-A3B. SiliconFlow has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

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.

Token pricing on one workload

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.

Catalog and deployment differences

NextBit has 13 indexed models and lists 1 published server region; SiliconFlow has 36 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.