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Same-model provider benchmark

Together vs Venice: LLM provider comparison

Compare Together and Venice on 8 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

Together

19 indexed models

Headquarters
United States
Server regions
N/a
Model types
17 text, 2 transcription

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

1.68× typical advantage

8 exact models with complete recent speed data

Lowest token cost

$1.2886 / 1M

8 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

MetricTogetherVenice
Typical 500-token response9.12 s13.20 s
Typical response start0.65 s1.34 s
Typical output speed60.5 tok/s42.5 tok/s
Blended token price$1.4821 / 1M$1.2886 / 1M
Typical route uptime98.82%99.22%

Visual comparison

Price and performance charts

TogetherVenice
500-token response by shared model

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

Together has the lower typical same-model response ratio across 8 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 8 priced shared models.

Shared text models

8 exact models · newest first

ModelTogetherVenice
GLM 5.2Winner · Together

z-ai/glm-5.2

Together
Blended price
$2.4 / 1M
500-token response
8.95 s
Response starts
0.88 s
Output speed
62.0 tok/s
Route uptime
94.55%
Context
262.1K
Route
together
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
Kimi K2.7 CodeWinner · Together

moonshotai/kimi-k2.7-code

Together
Blended price
$1.9667 / 1M
500-token response
3.47 s
Response starts
0.49 s
Output speed
168.0 tok/s
Route uptime
99.29%
Context
262.1K
Route
together
Venice
Blended price
$1.6667 / 1M
500-token response
8.94 s
Response starts
1.25 s
Output speed
65.0 tok/s
Route uptime
N/a
Context
256K
Route
venice/int4
Nemotron 3 UltraWinner · Together

nvidia/nemotron-3-ultra-550b-a55b

Together
Blended price
$1.6 / 1M
500-token response
9.29 s
Response starts
0.81 s
Output speed
59.0 tok/s
Route uptime
99.13%
Context
512.3K
Route
together
Venice
Blended price
$1.4583 / 1M
500-token response
44.20 s
Response starts
5.74 s
Output speed
13.0 tok/s
Route uptime
90.42%
Context
256K
Route
venice/fp8
MiniMax M3Winner · Venice

minimax/minimax-m3

Together
Blended price
$0.6 / 1M
500-token response
7.16 s
Response starts
0.75 s
Output speed
78.0 tok/s
Route uptime
98.82%
Context
524.3K
Route
together
Venice
Blended price
$0.6 / 1M
500-token response
5.09 s
Response starts
1.21 s
Output speed
129.0 tok/s
Route uptime
98.07%
Context
524.3K
Route
venice/fp8
DeepSeek V4 ProWinner · Together

deepseek/deepseek-v4-pro

Together
Blended price
$2.32 / 1M
500-token response
16.18 s
Response starts
0.56 s
Output speed
32.0 tok/s
Route uptime
93.72%
Context
512K
Route
together
Venice
Blended price
$2.2003 / 1M
500-token response
28.55 s
Response starts
2.23 s
Output speed
19.0 tok/s
Route uptime
99.91%
Context
1M
Route
venice
Kimi K2.6Winner · Together

moonshotai/kimi-k2.6

Together
Blended price
$2.3 / 1M
500-token response
5.21 s
Response starts
0.54 s
Output speed
107.0 tok/s
Route uptime
99.73%
Context
262.1K
Route
together
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
Gemma 4 31BWinner · Venice

google/gemma-4-31b-it

Together
Blended price
$0.4733 / 1M
500-token response
24.13 s
Response starts
2.39 s
Output speed
23.0 tok/s
Route uptime
83.73%
Context
262.1K
Route
together
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
Qwen3.5-9BWinner · Venice

qwen/qwen3.5-9b

Together
Blended price
$0.1967 / 1M
500-token response
12.73 s
Response starts
0.54 s
Output speed
41.0 tok/s
Route uptime
99.00%
Context
262.1K
Route
together
Venice
Blended price
$0.1167 / 1M
500-token response
9.33 s
Response starts
0.85 s
Output speed
59.0 tok/s
Route uptime
99.92%
Context
256K
Route
venice/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.

Together vs Venice analysis

How Together and Venice compare for AI inference

Together and Venice share 8 indexed text models, including GLM 5.2, Kimi K2.7 Code, Nemotron 3 Ultra, MiniMax M3, DeepSeek V4 Pro. Together has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

8 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

8 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

Together has 19 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.