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Same-model provider benchmark

Chutes vs CoreWeave: LLM provider comparison

Compare Chutes and CoreWeave on 6 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

Chutes

9 indexed models

Headquarters
United States
Server regions
N/a
Model types
9 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

2.27× typical advantage

6 exact models with complete recent speed data

Lowest token cost

$1.1678 / 1M

6 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

MetricChutes(0)CoreWeave(0)
SpeedChutes17.42 sCoreWeave12.37 s
TTFTChutes1.56 sCoreWeave0.44 s
TPSChutes34.0 tok/sCoreWeave54.5 tok/s
UptimeChutes94.13%CoreWeave99.98%
BlendedChutes$1.1678 / 1MCoreWeave$1.5261 / 1M
Green value Better comparable resultRed value Worse comparable result

Visual comparison

Price and performance charts

ChutesCoreWeave
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 6 measured models.

Blended token price by shared model

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

Chutes has the lower typical price ratio across 6 priced shared models.

Shared text models

6 exact models · newest first

ModelChutes(0)CoreWeave(0)
GLM 5.2Winner · Chutes
Chutes
Speed— Best comparable value
12.98 s
TTFT— Best comparable value
1.61 s
TPS— Best comparable value
44.0 tok/s
Uptime— Worst comparable value
92.54%
Context
1M
Route
chutes/fp4
Blended— Best comparable value
$2.15 / 1M
CoreWeave
Speed— Worst comparable value
20.46 s
TTFT— Worst 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 27BWinner · CoreWeave
Chutes
Speed— Worst comparable value
42.95 s
TTFT— Worst comparable value
1.28 s
TPS— Worst comparable value
12.0 tok/s
Uptime— Worst comparable value
95.72%
Context
262.1K
Route
chutes/fp8
Blended— Best comparable value
$0.8667 / 1M
CoreWeave
Speed— Best comparable value
18.18 s
TTFT— Best comparable value
0.33 s
TPS— Best comparable value
28.0 tok/s
Uptime— Best comparable value
100.00%
Context
262.1K
Route
coreweave/fp8
Blended— Worst comparable value
$1.6 / 1M
Kimi K2.6Winner · CoreWeave
Chutes
Speed— Worst comparable value
13.07 s
TTFT— Worst comparable value
1.17 s
TPS— Worst comparable value
42.0 tok/s
Uptime— Worst comparable value
99.27%
Context
262.1K
Route
chutes/int4
Blended— Best comparable value
$1.6067 / 1M
CoreWeave
Speed— Best comparable value
3.30 s
TTFT— Best comparable value
0.34 s
TPS— Best comparable value
169.0 tok/s
Uptime— Best comparable value
99.89%
Context
262.1K
Route
coreweave/fp4
Blended— Worst comparable value
$1.9667 / 1M
GLM 5.1Winner · CoreWeave
Chutes
Speed— Worst comparable value
20.51 s
TTFT— Worst comparable value
3.27 s
TPS— Worst comparable value
29.0 tok/s
Uptime— Worst comparable value
28.70%
Context
202.8K
Route
chutes/fp8
Blended— Best comparable value
$1.68 / 1M
CoreWeave
Speed— Best comparable value
4.38 s
TTFT— Best comparable value
0.50 s
TPS— Best comparable value
129.0 tok/s
Uptime— Best comparable value
100.00%
Context
202.8K
Route
coreweave/fp8
Blended— Worst comparable value
$2.4 / 1M
Gemma 4 31BWinner · CoreWeave
Chutes
Speed— Worst comparable value
58.02 s
TTFT— Worst comparable value
2.46 s
TPS— Worst comparable value
9.0 tok/s
Uptime— Worst comparable value
61.78%
Context
131.1K
Route
chutes/fp4
Blended— Worst comparable value
$0.2033 / 1M
CoreWeave
Speed— Best comparable value
30.82 s
TTFT— Best comparable value
1.41 s
TPS— Best comparable value
17.0 tok/s
Uptime— Best comparable value
77.67%
Context
262.1K
Route
coreweave/bf16
Blended— Best comparable value
$0.1967 / 1M
MiniMax M2.5Winner · CoreWeave
Chutes
Speed— Worst comparable value
14.34 s
TTFT— Worst comparable value
1.51 s
TPS— Worst comparable value
39.0 tok/s
Uptime
100.00%
Context
196.6K
Route
chutes/fp8
Blended— Best comparable value
$0.5 / 1M
CoreWeave
Speed— Best comparable value
6.55 s
TTFT— Best comparable value
0.38 s
TPS— Best comparable value
81.0 tok/s
Uptime
100.00%
Context
196.6K
Route
coreweave/fp8
Blended— Worst comparable value
$0.6 / 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.

Chutes vs CoreWeave analysis

How Chutes and CoreWeave compare for AI inference

Chutes and CoreWeave share 6 indexed text models, including GLM 5.2, Qwen3.6 27B, Kimi K2.6, GLM 5.1, Gemma 4 31B. CoreWeave has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

6 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

6 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

Chutes has 9 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.

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Compare with other providers

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