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Same-model provider benchmark

AkashML vs io.net: LLM provider comparison

Compare AkashML and io.net 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

io.net

4 indexed models

Headquarters
United States
Server regions
N/a
Model types
4 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

1.12× typical advantage

3 exact models with complete recent speed data

Lowest token cost

$0.9822 / 1M

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

Most models available

5 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricAkashML(0)io.net(0)
SpeedAkashML16.02 sio.net12.09 s
TTFTAkashML1.33 sio.net1.87 s
TPSAkashML35.0 tok/sio.net44.0 tok/s
UptimeAkashML99.74%io.net99.88%
BlendedAkashML$0.9822 / 1Mio.net$1.6407 / 1M
Green value Better comparable resultRed value Worse comparable result

Visual comparison

Price and performance charts

AkashMLio.net
500-token response by shared model

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

io.net 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)io.net(0)
GLM 5.2Winner · AkashML
AkashML
Speed— Worst comparable value
16.02 s
TTFT— Best comparable value
1.74 s
TPS— Worst comparable value
35.0 tok/s
Uptime— Worst comparable value
94.90%
Context
96.9K
Route
akashml/fp8
Blended— Best comparable value
$2.3333 / 1M
io.net
Speed— Best comparable value
11.13 s
TTFT— Worst comparable value
1.87 s
TPS— Best comparable value
54.0 tok/s
Uptime— Best comparable value
100.00%
Context
262.1K
Route
io-net/fp8
Blended— Worst comparable value
$3.9565 / 1M
Qwen3.6 35B A3BWinner · AkashML
AkashML
Speed— Worst comparable value
13.52 s
TTFT— Worst comparable value
1.33 s
TPS— Worst comparable value
41.0 tok/s
Uptime— Best comparable value
99.98%
Context
262.1K
Route
akashml/fp8
Blended— Best comparable value
$0.4267 / 1M
io.net
Speed— Best comparable value
12.09 s
TTFT— Best comparable value
0.72 s
TPS— Best comparable value
44.0 tok/s
Uptime— Worst comparable value
75.84%
Context
262.1K
Route
io-net/fp8
Blended— Worst comparable value
$0.68 / 1M
DeepSeek V4 FlashWinner · AkashML
AkashML
Speed— Best comparable value
42.95 s
TTFT— Best comparable value
1.28 s
TPS— Best comparable value
12.0 tok/s
Uptime— Worst comparable value
99.74%
Context
131.1K
Route
akashml/fp8
Blended— Best comparable value
$0.1867 / 1M
io.net
Speed— Worst comparable value
170.56 s
TTFT— Worst comparable value
3.89 s
TPS— Worst comparable value
3.0 tok/s
Uptime— Best comparable value
99.88%
Context
32.8K
Route
io-net/fp8
Blended— Worst comparable value
$0.2857 / 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 io.net analysis

How AkashML and io.net compare for AI inference

AkashML and io.net share 3 indexed text models, including GLM 5.2, Qwen3.6 35B A3B, DeepSeek V4 Flash. io.net 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; io.net has 4 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.