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Same-model provider benchmark

AkashML vs CoreWeave: LLM provider comparison

Compare AkashML and CoreWeave 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

CoreWeave

20 indexed models

Headquarters
United States
Server regions
United States
Model types
20 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

1.55× typical advantage

5 exact models with complete recent speed data

Lowest token cost

$0.5048 / 1M

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

Most models available

20 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricAkashML(0)CoreWeave(0)
SpeedAkashML19.23 sCoreWeave17.27 s
TTFTAkashML0.84 sCoreWeave0.35 s
TPSAkashML31.0 tok/sCoreWeave30.0 tok/s
UptimeAkashML99.70%CoreWeave100.00%
BlendedAkashML$0.5048 / 1MCoreWeave$0.8913 / 1M
Green value Better comparable resultRed value Worse comparable result

Visual comparison

Price and performance charts

AkashMLCoreWeave
500-token response by shared model

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

CoreWeave 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

ModelAkashML(0)CoreWeave(0)
GLM 5.2Winner · AkashML
AkashML
Speed— Best comparable value
20.02 s
TTFT— Worst comparable value
3.90 s
TPS— Best comparable value
31.0 tok/s
Uptime— Worst comparable value
98.98%
Context
96.9K
Route
akashml/fp8
Blended— Best comparable value
$1.32 / 1M
CoreWeave
Speed— Worst comparable value
20.46 s
TTFT— Best comparable value
1.94 s
TPS— Worst comparable value
27.0 tok/s
Uptime— Best comparable value
99.96%
Context
262.1K
Route
coreweave/fp4
Blended— Worst comparable value
$2.3933 / 1M
Qwen3.6 35B A3BWinner · CoreWeave
AkashML
Speed— Worst comparable value
6.72 s
TTFT— Worst comparable value
0.55 s
TPS— Worst comparable value
81.0 tok/s
Uptime— Worst comparable value
99.99%
Context
262.1K
Route
akashml/fp8
Blended— Best comparable value
$0.4267 / 1M
CoreWeave
Speed— Best comparable value
3.72 s
TTFT— Best comparable value
0.26 s
TPS— Best comparable value
144.5 tok/s
Uptime— Best comparable value
100.00%
Context
262.1K
Route
coreweave/fp8
Blended— Worst comparable value
$0.5833 / 1M
DeepSeek V4 FlashWinner · CoreWeave
AkashML
Speed— Worst comparable value
40.08 s
TTFT— Worst comparable value
1.61 s
TPS— Worst comparable value
13.0 tok/s
Uptime— Worst comparable value
99.70%
Context
131.1K
Route
akashml/fp8
Blended— Best comparable value
$0.1307 / 1M
CoreWeave
Speed— Best comparable value
17.27 s
TTFT— Best comparable value
0.60 s
TPS— Best comparable value
30.0 tok/s
Uptime— Best comparable value
99.85%
Context
1M
Route
coreweave/fp8
Blended— Worst comparable value
$0.1867 / 1M
Qwen3.5-35B-A3BWinner · CoreWeave
AkashML
Speed— Worst comparable value
7.51 s
TTFT— Worst comparable value
0.84 s
TPS— Worst comparable value
75.0 tok/s
Uptime
100.00%
Context
262.1K
Route
akashml/fp8
Blended— Best comparable value
$0.4267 / 1M
CoreWeave
Speed— Best comparable value
4.86 s
TTFT— Best comparable value
0.35 s
TPS— Best comparable value
111.0 tok/s
Uptime
100.00%
Context
262.1K
Route
coreweave/fp8
Blended— Worst comparable value
$0.5833 / 1M
Llama 3.3 70B InstructWinner · AkashML
AkashML
Speed— Worst comparable value
19.23 s
TTFT— Worst comparable value
0.71 s
TPS— Worst comparable value
27.0 tok/s
Uptime— Worst comparable value
98.51%
Context
131.1K
Route
akashml/fp8
Blended— Best comparable value
$0.22 / 1M
CoreWeave
Speed— Best comparable value
18.01 s
TTFT— Best comparable value
0.15 s
TPS— Best comparable value
28.0 tok/s
Uptime— Best comparable value
100.00%
Context
128K
Route
coreweave/fp16
Blended— Worst comparable value
$0.71 / 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 CoreWeave analysis

How AkashML and CoreWeave compare for AI inference

AkashML and CoreWeave 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. CoreWeave 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; CoreWeave has 20 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.

Related same-model benchmarks

Compare with other providers

Explore qualified alternatives with the most shared measured models. Recommendations include comparisons for both AkashML and CoreWeave.