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Same-model provider benchmark

Phala vs Together: LLM provider comparison

Compare Phala and Together on 6 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

Together

19 indexed models

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

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

Together

2.19× typical advantage

6 exact models with complete recent speed data

Lowest token cost

Phala

$0.8917 / 1M

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

Most models available

Together

19 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricPhalaTogether
Typical 500-token response19.08 s8.79 s
Typical response start1.42 s0.52 s
Typical output speed29.0 tok/s61.0 tok/s
Blended token price$0.8917 / 1M$0.9789 / 1M
Typical route uptime93.29%94.03%

Visual comparison

Price and performance charts

PhalaTogether
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 6 measured models.

Blended token price by shared model

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

Phala has the lower typical price ratio across 6 priced shared models.

Shared text models

6 exact models · newest first

ModelPhalaTogether
GLM 5.2Winner · Together

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
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
Kimi K2.6Winner · Together

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
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
Gemma 4 31BWinner · Together

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
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
gpt-oss-120bWinner · Together

openai/gpt-oss-120b

Phala
Blended price
$0.3 / 1M
500-token response
12.10 s
Response starts
0.74 s
Output speed
44.0 tok/s
Route uptime
99.76%
Context
131.1K
Route
phala
Together
Blended price
$0.3 / 1M
500-token response
8.63 s
Response starts
0.30 s
Output speed
60.0 tok/s
Route uptime
93.50%
Context
131.1K
Route
together
gpt-oss-20bWinner · Together

openai/gpt-oss-20b

Phala
Blended price
$0.0767 / 1M
500-token response
9.39 s
Response starts
0.62 s
Output speed
57.0 tok/s
Route uptime
99.78%
Context
131.1K
Route
phala
Together
Blended price
$0.1 / 1M
500-token response
2.95 s
Response starts
0.23 s
Output speed
184.0 tok/s
Route uptime
N/a
Context
131.1K
Route
together
Qwen2.5 7B InstructWinner · Phala

qwen/qwen-2.5-7b-instruct

Phala
Blended price
$0.06 / 1M
500-token response
21.35 s
Response starts
0.51 s
Output speed
24.0 tok/s
Route uptime
99.96%
Context
32.8K
Route
phala
Together
Blended price
$0.3 / 1M
500-token response
9.94 s
Response starts
0.51 s
Output speed
53.0 tok/s
Route uptime
100.00%
Context
32.8K
Route
together/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.

Phala vs Together analysis

How Phala and Together compare for AI inference

Phala and Together share 6 indexed text models, including GLM 5.2, Kimi K2.6, Gemma 4 31B, gpt-oss-120b, gpt-oss-20b. Together has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

6 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

6 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; Together has 19 models and lists no regions. 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 Together.

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Together vs Weights & Biases

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