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Same-model provider benchmark

AkashML vs DeepInfra: LLM provider comparison

Compare AkashML and DeepInfra on 4 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

DeepInfra

87 indexed models

Headquarters
United States
Server regions
N/a
Model types
67 text, 15 embeddings, 5 speech

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

DeepInfra

1.03× typical advantage

4 exact models with complete recent speed data

Lowest token cost

DeepInfra

$0.585 / 1M

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

Most models available

DeepInfra

87 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricAkashMLDeepInfra
Typical 500-token response15.59 s25.97 s
Typical response start1.21 s0.52 s
Typical output speed34.0 tok/s21.0 tok/s
Blended token price$0.7917 / 1M$0.585 / 1M
Typical route uptime99.38%99.43%

Visual comparison

Price and performance charts

AkashMLDeepInfra
500-token response by shared model

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

DeepInfra 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.

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

Shared text models

4 exact models · newest first

ModelAkashMLDeepInfra
GLM 5.2Winner · AkashML

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
DeepInfra
Blended price
$1.62 / 1M
500-token response
42.37 s
Response starts
0.70 s
Output speed
12.0 tok/s
Route uptime
N/a
Context
1M
Route
deepinfra/fp4
DeepSeek V4 FlashWinner · DeepInfra

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
DeepInfra
Blended price
$0.12 / 1M
500-token response
20.36 s
Response starts
1.13 s
Output speed
26.0 tok/s
Route uptime
99.43%
Context
1M
Route
deepinfra/fp4
Qwen3.5-35B-A3BWinner · DeepInfra

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
DeepInfra
Blended price
$0.4267 / 1M
500-token response
5.89 s
Response starts
0.28 s
Output speed
89.0 tok/s
Route uptime
99.69%
Context
262.1K
Route
deepinfra/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
DeepInfra
Blended price
$0.1733 / 1M
500-token response
31.59 s
Response starts
0.34 s
Output speed
16.0 tok/s
Route uptime
98.39%
Context
131.1K
Route
deepinfra/turbo

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 DeepInfra analysis

How AkashML and DeepInfra compare for AI inference

AkashML and DeepInfra share 4 indexed text models, including GLM 5.2, DeepSeek V4 Flash, Qwen3.5-35B-A3B, Llama 3.3 70B Instruct. DeepInfra 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

AkashML has 5 indexed models and lists no published server regions; DeepInfra has 87 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.

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