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Same-model provider benchmark

Chutes vs ModelRun: LLM provider comparison

Compare Chutes and ModelRun on 3 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

Chutes

8 indexed models

Headquarters
United States
Server regions
N/a
Model types
8 text

ModelRun

4 indexed models

Headquarters
United States
Server regions
United States
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

2.23× typical advantage

3 exact models with complete recent speed data

Lowest token cost

$0.9233 / 1M

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

Most models available

8 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricChutesModelRun
Typical 500-token response31.19 s13.99 s
Typical response start2.91 s0.90 s
Typical output speed19.0 tok/s40.0 tok/s
Blended token price$0.9233 / 1M$0.9433 / 1M
Typical route uptime91.79%98.64%

Visual comparison

Price and performance charts

ChutesModelRun
500-token response by shared model

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

ModelRun 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.

Chutes has the lower typical price ratio across 3 priced shared models.

Shared text models

3 exact models · newest first

ModelChutesModelRun
Kimi K2.6Winner · ModelRun

moonshotai/kimi-k2.6

Chutes
Blended price
$1.6067 / 1M
500-token response
31.19 s
Response starts
4.88 s
Output speed
19.0 tok/s
Route uptime
98.67%
Context
262.1K
Route
chutes/int4
ModelRun
Blended price
$1.6 / 1M
500-token response
13.99 s
Response starts
1.49 s
Output speed
40.0 tok/s
Route uptime
98.64%
Context
262.1K
Route
modelrun/fp4
Gemma 4 31BWinner · ModelRun

google/gemma-4-31b-it

Chutes
Blended price
$0.2033 / 1M
500-token response
52.91 s
Response starts
2.91 s
Output speed
10.0 tok/s
Route uptime
57.68%
Context
131.1K
Route
chutes/fp4
ModelRun
Blended price
$0.33 / 1M
500-token response
6.85 s
Response starts
0.90 s
Output speed
84.0 tok/s
Route uptime
97.84%
Context
262.1K
Route
modelrun/fp4
Kimi K2.5Winner · ModelRun

moonshotai/kimi-k2.5

Chutes
Blended price
$0.96 / 1M
500-token response
21.33 s
Response starts
1.33 s
Output speed
25.0 tok/s
Route uptime
91.79%
Context
262.1K
Route
chutes/int4
ModelRun
Blended price
$0.9 / 1M
500-token response
16.12 s
Response starts
0.50 s
Output speed
32.0 tok/s
Route uptime
99.76%
Context
262.1K
Route
modelrun/fp4

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 ModelRun analysis

How Chutes and ModelRun compare for AI inference

Chutes and ModelRun share 3 indexed text models, including Kimi K2.6, Gemma 4 31B, Kimi K2.5. ModelRun 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

Chutes has 8 indexed models and lists no published server regions; ModelRun has 4 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 Chutes and ModelRun.