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Same-model provider benchmark

AkashML vs Parasail: LLM provider comparison

Compare AkashML and Parasail on 5 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

AkashML

5 indexed models

Headquarters
N/a
Server regions
N/a
Model types
5 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

1.36× typical advantage

5 exact models with complete recent speed data

Lowest token cost

$0.7187 / 1M

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

Most models available

35 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricAkashMLParasail
Typical 500-token response15.12 s11.10 s
Typical response start1.14 s0.64 s
Typical output speed34.0 tok/s47.0 tok/s
Blended token price$0.7187 / 1M$0.7533 / 1M
Typical route uptime99.15%99.56%

Visual comparison

Price and performance charts

AkashMLParasail
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 5 measured models.

Blended token price by shared model

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

AkashML has the lower typical price ratio across 5 priced shared models.

Shared text models

5 exact models · newest first

ModelAkashMLParasail
GLM 5.2Winner · Parasail

z-ai/glm-5.2

AkashML
Blended price
$2.3333 / 1M
500-token response
16.05 s
Response starts
1.34 s
Output speed
34.0 tok/s
Route uptime
97.94%
Context
131.1K
Route
akashml/fp8
Parasail
Blended price
$2.4 / 1M
500-token response
8.10 s
Response starts
0.96 s
Output speed
70.0 tok/s
Route uptime
98.80%
Context
262.1K
Route
parasail/fp4
Qwen3.6 35B A3BWinner · Parasail

qwen/qwen3.6-35b-a3b

AkashML
Blended price
$0.4267 / 1M
500-token response
6.18 s
Response starts
0.56 s
Output speed
89.0 tok/s
Route uptime
98.13%
Context
262.1K
Route
akashml/fp8
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
DeepSeek V4 FlashWinner · Parasail

deepseek/deepseek-v4-flash

AkashML
Blended price
$0.1867 / 1M
500-token response
51.28 s
Response starts
1.28 s
Output speed
10.0 tok/s
Route uptime
99.38%
Context
131.1K
Route
akashml/fp8
Parasail
Blended price
$0.1867 / 1M
500-token response
13.46 s
Response starts
0.64 s
Output speed
39.0 tok/s
Route uptime
98.69%
Context
1M
Route
parasail/fp8
Qwen3.5-35B-A3BWinner · AkashML

qwen/qwen3.5-35b-a3b

AkashML
Blended price
$0.4267 / 1M
500-token response
9.34 s
Response starts
1.14 s
Output speed
61.0 tok/s
Route uptime
100.00%
Context
262.1K
Route
akashml/fp8
Parasail
Blended price
$0.4333 / 1M
500-token response
11.69 s
Response starts
0.82 s
Output speed
46.0 tok/s
Route uptime
100.00%
Context
262.1K
Route
parasail/fp8
Llama 3.3 70B InstructWinner · AkashML

meta-llama/llama-3.3-70b-instruct

AkashML
Blended price
$0.22 / 1M
500-token response
15.12 s
Response starts
0.42 s
Output speed
34.0 tok/s
Route uptime
99.15%
Context
131.1K
Route
akashml/fp8
Parasail
Blended price
$0.3133 / 1M
500-token response
11.10 s
Response starts
0.46 s
Output speed
47.0 tok/s
Route uptime
99.56%
Context
131.1K
Route
parasail/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.

AkashML vs Parasail analysis

How AkashML and Parasail compare for AI inference

AkashML and Parasail share 5 indexed text models, including GLM 5.2, Qwen3.6 35B A3B, DeepSeek V4 Flash, Qwen3.5-35B-A3B, Llama 3.3 70B Instruct. Parasail has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

5 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

5 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

AkashML has 5 indexed models and lists no published server regions; Parasail has 35 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.