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Same-model provider benchmark

Phala vs Venice: LLM provider comparison

Compare Phala and Venice on 11 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

Phala

18 indexed models

Headquarters
United States
Server regions
N/a
Model types
18 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

1.91× typical advantage

11 exact models with complete recent speed data

Lowest token cost

$1.4188 / 1M

11 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

MetricPhalaVenice
Typical 500-token response27.84 s14.61 s
Typical response start2.84 s1.32 s
Typical output speed25.0 tok/s38.0 tok/s
Blended token price$1.4903 / 1M$1.4188 / 1M
Typical route uptime92.68%99.66%

Visual comparison

Price and performance charts

PhalaVenice
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 11 measured models.

Blended token price by shared model

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

Venice has the lower typical price ratio across 11 priced shared models.

Shared text models

11 exact models · newest first

ModelPhalaVenice
GLM 5.2Winner · Venice

z-ai/glm-5.2

Phala
Blended price
$2.4 / 1M
500-token response
16.81 s
Response starts
2.10 s
Output speed
34.0 tok/s
Route uptime
86.82%
Context
1M
Route
phala
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

Phala
Blended price
$1.1133 / 1M
500-token response
39.31 s
Response starts
0.85 s
Output speed
13.0 tok/s
Route uptime
99.71%
Context
262.1K
Route
phala
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
Kimi K2.6Winner · Venice

moonshotai/kimi-k2.6

Phala
Blended price
$2.26 / 1M
500-token response
27.84 s
Response starts
2.84 s
Output speed
20.0 tok/s
Route uptime
N/a
Context
262.1K
Route
phala
Venice
Blended price
$1.6667 / 1M
500-token response
12.06 s
Response starts
1.43 s
Output speed
47.0 tok/s
Route uptime
99.22%
Context
256K
Route
venice/int4
GLM 5.1Winner · Venice

z-ai/glm-5.1

Phala
Blended price
$2.2067 / 1M
500-token response
38.16 s
Response starts
22.53 s
Output speed
32.0 tok/s
Route uptime
N/a
Context
202.8K
Route
phala
Venice
Blended price
$2.64 / 1M
500-token response
14.61 s
Response starts
1.46 s
Output speed
38.0 tok/s
Route uptime
88.98%
Context
200K
Route
venice/fp8
Gemma 4 31BWinner · Venice

google/gemma-4-31b-it

Phala
Blended price
$0.2533 / 1M
500-token response
53.66 s
Response starts
3.66 s
Output speed
10.0 tok/s
Route uptime
52.78%
Context
262.1K
Route
phala
Venice
Blended price
$0.2 / 1M
500-token response
15.38 s
Response starts
1.49 s
Output speed
36.0 tok/s
Route uptime
99.93%
Context
256K
Route
venice/bf16
Qwen3.5 397B A17BWinner · Venice

qwen/qwen3.5-397b-a17b

Phala
Blended price
$1.5333 / 1M
500-token response
28.75 s
Response starts
3.75 s
Output speed
20.0 tok/s
Route uptime
99.36%
Context
262.1K
Route
phala
Venice
Blended price
$2 / 1M
500-token response
10.11 s
Response starts
1.49 s
Output speed
58.0 tok/s
Route uptime
N/a
Context
128K
Route
venice
MiniMax M2.5Winner · Venice

minimax/minimax-m2.5

Phala
Blended price
$0.5933 / 1M
500-token response
15.91 s
Response starts
2.02 s
Output speed
36.0 tok/s
Route uptime
N/a
Context
196.6K
Route
phala
Venice
Blended price
$0.4967 / 1M
500-token response
9.78 s
Response starts
1.16 s
Output speed
58.0 tok/s
Route uptime
N/a
Context
198K
Route
venice
GLM 5Winner · Venice

z-ai/glm-5

Phala
Blended price
$1.9667 / 1M
500-token response
22.96 s
Response starts
2.96 s
Output speed
25.0 tok/s
Route uptime
N/a
Context
202.8K
Route
phala
Venice
Blended price
$1.7333 / 1M
500-token response
20.55 s
Response starts
1.32 s
Output speed
26.0 tok/s
Route uptime
N/a
Context
198K
Route
venice/fp8
Kimi K2.5Winner · Venice

moonshotai/kimi-k2.5

Phala
Blended price
$1.4 / 1M
500-token response
21.68 s
Response starts
1.68 s
Output speed
25.0 tok/s
Route uptime
89.90%
Context
262.1K
Route
phala
Venice
Blended price
$1.54 / 1M
500-token response
5.81 s
Response starts
1.45 s
Output speed
114.5 tok/s
Route uptime
N/a
Context
256K
Route
venice
GLM 4.7Winner · Venice

z-ai/glm-4.7

Phala
Blended price
$1.6667 / 1M
500-token response
21.70 s
Response starts
1.70 s
Output speed
25.0 tok/s
Route uptime
N/a
Context
131.1K
Route
phala
Venice
Blended price
$1.25 / 1M
500-token response
15.78 s
Response starts
1.08 s
Output speed
34.0 tok/s
Route uptime
100.00%
Context
198K
Route
venice/fp4
DeepSeek V3.2Winner · Venice

deepseek/deepseek-v3.2

Phala
Blended price
$1 / 1M
500-token response
66.48 s
Response starts
3.98 s
Output speed
8.0 tok/s
Route uptime
98.54%
Context
163.8K
Route
phala
Venice
Blended price
$0.38 / 1M
500-token response
84.24 s
Response starts
0.90 s
Output speed
6.0 tok/s
Route uptime
99.40%
Context
160K
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.

Phala vs Venice analysis

How Phala and Venice compare for AI inference

Phala and Venice share 11 indexed text models, including GLM 5.2, Qwen3.6 27B, Kimi K2.6, GLM 5.1, Gemma 4 31B. Venice has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

11 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

11 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

Phala has 18 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.

Related same-model benchmarks

Compare with other providers

Explore qualified alternatives with the most shared measured models. Recommendations include comparisons for both Phala and Venice.