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Same-model provider benchmark

AkashML vs Cloudflare: LLM provider comparison

Compare AkashML and Cloudflare on 3 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

Cloudflare

13 indexed models

Headquarters
United States
Server regions
N/a
Model types
13 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

2.31× typical advantage

3 exact models with complete recent speed data

Lowest token cost

$0.9133 / 1M

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

Most models available

13 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricAkashML(0)Cloudflare(0)
SpeedAkashML21.42 sCloudflare17.14 s
TTFTAkashML0.83 sCloudflare1.01 s
TPSAkashML24.0 tok/sCloudflare31.0 tok/s
UptimeAkashML98.29%Cloudflare100.00%
BlendedAkashML$0.9133 / 1MCloudflare$1.1777 / 1M
Green value Better comparable resultRed value Worse comparable result

Visual comparison

Price and performance charts

AkashMLCloudflare
500-token response by shared model

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

Cloudflare has the lower typical same-model response ratio across 3 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 3 priced shared models.

Shared text models

3 exact models · newest first

ModelAkashML(0)Cloudflare(0)
GLM 5.2Winner · Cloudflare
AkashML
Speed— Worst comparable value
16.45 s
TTFT— Best comparable value
0.83 s
TPS— Worst comparable value
32.0 tok/s
Uptime— Worst comparable value
98.99%
Context
96.9K
Route
akashml/fp8
Blended— Best comparable value
$2.3333 / 1M
Cloudflare
Speed— Best comparable value
7.12 s
TTFT— Worst comparable value
1.02 s
TPS— Best comparable value
82.0 tok/s
Uptime— Best comparable value
100.00%
Context
262.1K
Route
cloudflare
Blended— Worst comparable value
$2.4 / 1M
DeepSeek V4 FlashWinner · Cloudflare
AkashML
Speed— Worst comparable value
43.03 s
TTFT— Worst comparable value
1.36 s
TPS— Worst comparable value
12.0 tok/s
Uptime— Worst comparable value
98.29%
Context
131.1K
Route
akashml/fp8
Blended
$0.1867 / 1M
Cloudflare
Speed— Best comparable value
17.14 s
TTFT— Best comparable value
1.01 s
TPS— Best comparable value
31.0 tok/s
Uptime— Best comparable value
100.00%
Context
384K
Route
cloudflare
Blended
$0.1867 / 1M
Llama 3.3 70B InstructWinner · AkashML
AkashML
Speed— Best comparable value
21.42 s
TTFT— Best comparable value
0.58 s
TPS— Best comparable value
24.0 tok/s
Uptime— Worst comparable value
93.51%
Context
131.1K
Route
akashml/fp8
Blended— Best comparable value
$0.22 / 1M
Cloudflare
Speed— Worst comparable value
27.07 s
TTFT— Worst comparable value
0.75 s
TPS— Worst comparable value
19.0 tok/s
Uptime— Best comparable value
94.55%
Context
24K
Route
cloudflare/fp8
Blended— Worst comparable value
$0.9463 / 1M

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 Cloudflare analysis

How AkashML and Cloudflare compare for AI inference

AkashML and Cloudflare share 3 indexed text models, including GLM 5.2, DeepSeek V4 Flash, Llama 3.3 70B Instruct. Cloudflare has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

3 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

3 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; Cloudflare has 13 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.