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Same-model provider benchmark

DekaLLM vs Parasail: LLM provider comparison

Compare DekaLLM and Parasail on 4 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

DekaLLM

7 indexed models

Headquarters
Indonesia
Server regions
Indonesia
Model types
7 text

Parasail

35 indexed models

Headquarters
United States
Server regions
N/a
Model types
34 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

Parasail

1.91× typical advantage

4 exact models with complete recent speed data

Lowest token cost

DekaLLM

$0.179 / 1M

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

Most models available

Parasail

35 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricDekaLLMParasail
Typical 500-token response14.60 s8.61 s
Typical response start0.97 s0.51 s
Typical output speed39.0 tok/s62.0 tok/s
Blended token price$0.179 / 1M$0.2658 / 1M
Typical route uptime98.18%98.61%

Visual comparison

Price and performance charts

DekaLLMParasail
500-token response by shared model

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

Parasail has the lower typical same-model response ratio across 4 measured models.

Blended token price by shared model

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

DekaLLM has the lower typical price ratio across 4 priced shared models.

Shared text models

4 exact models · newest first

ModelDekaLLMParasail
Qwen3.6 35B A3BWinner · Parasail

qwen/qwen3.6-35b-a3b

DekaLLM
Blended price
$0.42 / 1M
500-token response
10.74 s
Response starts
0.53 s
Output speed
49.0 tok/s
Route uptime
98.07%
Context
262.1K
Route
dekallm
Parasail
Blended price
$0.4333 / 1M
500-token response
5.72 s
Response starts
0.45 s
Output speed
95.0 tok/s
Route uptime
99.89%
Context
262.1K
Route
parasail/fp8
Gemma 4 26B A4BWinner · DekaLLM

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

DekaLLM
Blended price
$0.15 / 1M
500-token response
11.47 s
Response starts
1.05 s
Output speed
48.0 tok/s
Route uptime
96.48%
Context
262.1K
Route
dekallm/bf16
Parasail
Blended price
$0.22 / 1M
500-token response
17.86 s
Response starts
0.61 s
Output speed
29.0 tok/s
Route uptime
98.97%
Context
262.1K
Route
parasail/bf16
gpt-oss-120bWinner · DekaLLM

openai/gpt-oss-120b

DekaLLM
Blended price
$0.08 / 1M
500-token response
17.74 s
Response starts
1.07 s
Output speed
30.0 tok/s
Route uptime
98.29%
Context
131.1K
Route
dekallm/bf16
Parasail
Blended price
$0.3167 / 1M
500-token response
9.13 s
Response starts
0.51 s
Output speed
58.0 tok/s
Route uptime
92.57%
Context
131.1K
Route
parasail/fp4
gpt-oss-20bWinner · Parasail

openai/gpt-oss-20b

DekaLLM
Blended price
$0.066 / 1M
500-token response
32.15 s
Response starts
0.90 s
Output speed
16.0 tok/s
Route uptime
99.13%
Context
131.1K
Route
dekallm/bf16
Parasail
Blended price
$0.0933 / 1M
500-token response
8.09 s
Response starts
0.52 s
Output speed
66.0 tok/s
Route uptime
98.25%
Context
131.1K
Route
parasail/fp4

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.

DekaLLM vs Parasail analysis

How DekaLLM and Parasail compare for AI inference

DekaLLM and Parasail share 4 indexed text models, including Qwen3.6 35B A3B, Gemma 4 26B A4B, gpt-oss-120b, gpt-oss-20b. Parasail has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

4 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

4 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

DekaLLM has 7 indexed models and lists 1 published server region; Parasail has 35 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.

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