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Same-model provider benchmark

DeepInfra vs Morph: LLM provider comparison

Compare DeepInfra and Morph on 5 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

DeepInfra

87 indexed models

Headquarters
United States
Server regions
N/a
Model types
67 text, 15 embeddings, 5 speech

Morph

7 indexed models

Headquarters
United States
Server regions
United States
Model types
7 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

1.44× typical advantage

5 exact models with complete recent speed data

Lowest token cost

$0.824 / 1M

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

Most models available

87 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricDeepInfraMorph
Typical 500-token response24.78 s18.68 s
Typical response start0.75 s1.13 s
Typical output speed21.0 tok/s28.0 tok/s
Blended token price$0.824 / 1M$1.0128 / 1M
Typical route uptime99.10%96.57%

Visual comparison

Price and performance charts

DeepInfraMorph
500-token response by shared model

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

Morph 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.

DeepInfra has the lower typical price ratio across 5 priced shared models.

Shared text models

5 exact models · newest first

ModelDeepInfraMorph
GLM 5.2Winner · Morph

z-ai/glm-5.2

DeepInfra
Blended price
$1.62 / 1M
500-token response
42.37 s
Response starts
0.70 s
Output speed
12.0 tok/s
Route uptime
N/a
Context
1M
Route
deepinfra/fp4
Morph
Blended price
$2.1 / 1M
500-token response
29.37 s
Response starts
1.59 s
Output speed
18.0 tok/s
Route uptime
97.06%
Context
1M
Route
morph
MiniMax M3Winner · DeepInfra

minimax/minimax-m3

DeepInfra
Blended price
$0.6 / 1M
500-token response
24.78 s
Response starts
0.97 s
Output speed
21.0 tok/s
Route uptime
98.34%
Context
524.3K
Route
deepinfra/bf16
Morph
Blended price
$1.2 / 1M
500-token response
16.36 s
Response starts
1.66 s
Output speed
34.0 tok/s
Route uptime
95.20%
Context
256K
Route
morph
Qwen3.6 27BWinner · Morph

qwen/qwen3.6-27b

DeepInfra
Blended price
$1.28 / 1M
500-token response
27.04 s
Response starts
0.73 s
Output speed
19.0 tok/s
Route uptime
99.57%
Context
262.1K
Route
deepinfra/fp8
Morph
Blended price
$0.9927 / 1M
500-token response
25.82 s
Response starts
0.82 s
Output speed
20.0 tok/s
Route uptime
99.78%
Context
131.1K
Route
morph
DeepSeek V4 FlashWinner · DeepInfra

deepseek/deepseek-v4-flash

DeepInfra
Blended price
$0.12 / 1M
500-token response
20.36 s
Response starts
1.13 s
Output speed
26.0 tok/s
Route uptime
99.43%
Context
1M
Route
deepinfra/fp4
Morph
Blended price
$0.1853 / 1M
500-token response
18.68 s
Response starts
0.82 s
Output speed
28.0 tok/s
Route uptime
97.93%
Context
1M
Route
morph
MiniMax M2.7Winner · Morph

minimax/minimax-m2.7

DeepInfra
Blended price
$0.5 / 1M
500-token response
16.88 s
Response starts
0.75 s
Output speed
31.0 tok/s
Route uptime
98.77%
Context
196.6K
Route
deepinfra/fp8
Morph
Blended price
$0.586 / 1M
500-token response
11.55 s
Response starts
1.13 s
Output speed
48.0 tok/s
Route uptime
52.80%
Context
196.6K
Route
morph

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.

DeepInfra vs Morph analysis

How DeepInfra and Morph compare for AI inference

DeepInfra and Morph share 5 indexed text models, including GLM 5.2, MiniMax M3, Qwen3.6 27B, DeepSeek V4 Flash, MiniMax M2.7. Morph 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

DeepInfra has 87 indexed models and lists no published server regions; Morph has 7 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.