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Same-model provider benchmark

io.net vs Venice: LLM provider comparison

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

io.net

3 indexed models

Headquarters
United States
Server regions
N/a
Model types
3 text

Venice

29 indexed models

Headquarters
United States
Server regions
United States
Model types
29 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

1.66× typical advantage

3 exact models with complete recent speed data

Lowest token cost

$1.2455 / 1M

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

Most models available

29 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

Metricio.netVenice
Typical 500-token response34.11 s14.58 s
Typical response start1.79 s1.17 s
Typical output speed15.0 tok/s38.0 tok/s
Blended token price$1.2455 / 1M$1.2946 / 1M
Typical route uptime99.27%99.58%

Visual comparison

Price and performance charts

io.netVenice
500-token response by shared model

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

Venice 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.

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

Shared text models

3 exact models · newest first

Modelio.netVenice
GLM 5.2Winner · Venice

z-ai/glm-5.2

io.net
Blended price
$2.4567 / 1M
500-token response
18.70 s
Response starts
2.57 s
Output speed
31.0 tok/s
Route uptime
97.19%
Context
262.1K
Route
io-net/fp8
Venice
Blended price
$2.4 / 1M
500-token response
14.33 s
Response starts
1.17 s
Output speed
38.0 tok/s
Route uptime
94.48%
Context
1M
Route
venice/fp8
Qwen3.6 27BWinner · Venice

qwen/qwen3.6-27b

io.net
Blended price
$0.9801 / 1M
500-token response
34.11 s
Response starts
0.77 s
Output speed
15.0 tok/s
Route uptime
99.66%
Context
262.1K
Route
io-net/fp8
Venice
Blended price
$1.3 / 1M
500-token response
20.54 s
Response starts
0.54 s
Output speed
25.0 tok/s
Route uptime
100.00%
Context
256K
Route
venice/fp8
DeepSeek V4 FlashWinner · Venice

deepseek/deepseek-v4-flash

io.net
Blended price
$0.2997 / 1M
500-token response
35.12 s
Response starts
1.79 s
Output speed
15.0 tok/s
Route uptime
99.27%
Context
1M
Route
io-net/fp8
Venice
Blended price
$0.1837 / 1M
500-token response
14.58 s
Response starts
2.08 s
Output speed
40.0 tok/s
Route uptime
99.58%
Context
1M
Route
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.

io.net vs Venice analysis

How io.net and Venice compare for AI inference

io.net and Venice share 3 indexed text models, including GLM 5.2, Qwen3.6 27B, DeepSeek V4 Flash. Venice 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

io.net has 3 indexed models and lists no published server regions; Venice has 29 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.