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Same-model provider benchmark

DeepInfra vs SambaNova: LLM provider comparison

Compare DeepInfra and SambaNova on 6 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

SambaNova

6 indexed models

Headquarters
United States
Server regions
N/a
Model types
6 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

2.13× typical advantage

6 exact models with complete recent speed data

Lowest token cost

$0.2902 / 1M

6 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

MetricDeepInfraSambaNova
Typical 500-token response27.08 s9.41 s
Typical response start0.74 s2.35 s
Typical output speed19.5 tok/s78.0 tok/s
Blended token price$0.2902 / 1M$1.2133 / 1M
Typical route uptime98.77%96.92%

Visual comparison

Price and performance charts

DeepInfraSambaNova
500-token response by shared model

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

SambaNova 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.

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

Shared text models

6 exact models · newest first

ModelDeepInfraSambaNova
Gemma 4 31BWinner · DeepInfra

google/gemma-4-31b-it

DeepInfra
Blended price
$0.2033 / 1M
500-token response
22.57 s
Response starts
0.83 s
Output speed
23.0 tok/s
Route uptime
99.06%
Context
262.1K
Route
deepinfra/turbo
SambaNova
Blended price
$0.6367 / 1M
500-token response
8.65 s
Response starts
3.33 s
Output speed
94.0 tok/s
Route uptime
99.88%
Context
131.1K
Route
sambanova
MiniMax M2.7Winner · DeepInfra

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
SambaNova
Blended price
$1.2 / 1M
500-token response
10.16 s
Response starts
2.10 s
Output speed
62.0 tok/s
Route uptime
91.21%
Context
196.6K
Route
sambanova
DeepSeek V3.2Winner · DeepInfra

deepseek/deepseek-v3.2

DeepInfra
Blended price
$0.3 / 1M
500-token response
42.39 s
Response starts
0.73 s
Output speed
12.0 tok/s
Route uptime
83.26%
Context
163.8K
Route
deepinfra/fp4
SambaNova
Blended price
$3.5 / 1M
500-token response
28.00 s
Response starts
4.19 s
Output speed
21.0 tok/s
Route uptime
N/a
Context
32.8K
Route
sambanova
DeepSeek V3.1Winner · SambaNova

deepseek/deepseek-chat-v3.1

DeepInfra
Blended price
$0.4833 / 1M
500-token response
42.51 s
Response starts
0.85 s
Output speed
12.0 tok/s
Route uptime
99.78%
Context
163.8K
Route
deepinfra/fp4
SambaNova
Blended price
$0.9333 / 1M
500-token response
12.05 s
Response starts
1.18 s
Output speed
46.0 tok/s
Route uptime
92.37%
Context
131.1K
Route
sambanova/fp8
gpt-oss-120bWinner · DeepInfra

openai/gpt-oss-120b

DeepInfra
Blended price
$0.0813 / 1M
500-token response
12.10 s
Response starts
0.47 s
Output speed
43.0 tok/s
Route uptime
94.64%
Context
131.1K
Route
deepinfra/bf16
SambaNova
Blended price
$0.41 / 1M
500-token response
7.41 s
Response starts
2.60 s
Output speed
104.0 tok/s
Route uptime
96.92%
Context
131.1K
Route
sambanova
Llama 3.3 70B InstructWinner · SambaNova

meta-llama/llama-3.3-70b-instruct

DeepInfra
Blended price
$0.1733 / 1M
500-token response
31.59 s
Response starts
0.34 s
Output speed
16.0 tok/s
Route uptime
98.39%
Context
131.1K
Route
deepinfra/turbo
SambaNova
Blended price
$0.6 / 1M
500-token response
5.44 s
Response starts
0.44 s
Output speed
100.0 tok/s
Route uptime
98.03%
Context
16K
Route
sambanova-turbo

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 SambaNova analysis

How DeepInfra and SambaNova compare for AI inference

DeepInfra and SambaNova share 6 indexed text models, including Gemma 4 31B, MiniMax M2.7, DeepSeek V3.2, DeepSeek V3.1, gpt-oss-120b. SambaNova 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

DeepInfra has 87 indexed models and lists no published server regions; SambaNova has 6 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.