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Same-model provider benchmark

DeepInfra vs Weights & Biases: LLM provider comparison

Compare DeepInfra and Weights & Biases on 16 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

Weights & Biases

19 indexed models

Headquarters
United States
Server regions
United States
Model types
19 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

1.49× typical advantage

16 exact models with complete recent speed data

Lowest token cost

$0.6847 / 1M

16 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

MetricDeepInfraWeights & Biases
Typical 500-token response19.27 s8.98 s
Typical response start0.75 s0.42 s
Typical output speed27.5 tok/s58.5 tok/s
Blended token price$0.6847 / 1M$0.9848 / 1M
Typical route uptime99.50%100.00%

Visual comparison

Price and performance charts

DeepInfraWeights & Biases
500-token response by shared model

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

Weights & Biases has the lower typical same-model response ratio across 16 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 16 priced shared models.

Shared text models

16 exact models · newest first

ModelDeepInfraWeights & Biases
GLM 5.2Winner · Weights & Biases

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
Weights & Biases
Blended price
$2.3933 / 1M
500-token response
4.48 s
Response starts
0.58 s
Output speed
128.0 tok/s
Route uptime
99.89%
Context
262.1K
Route
wandb/fp4
Kimi K2.7 CodeWinner · Weights & Biases

moonshotai/kimi-k2.7-code

DeepInfra
Blended price
$1.66 / 1M
500-token response
15.92 s
Response starts
0.77 s
Output speed
33.0 tok/s
Route uptime
100.00%
Context
262.1K
Route
deepinfra/fp4
Weights & Biases
Blended price
$1.96 / 1M
500-token response
3.20 s
Response starts
0.46 s
Output speed
182.0 tok/s
Route uptime
N/a
Context
262.1K
Route
wandb/int4
Qwen3.6 27BWinner · Weights & Biases

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
Weights & Biases
Blended price
$1.6 / 1M
500-token response
17.53 s
Response starts
0.29 s
Output speed
29.0 tok/s
Route uptime
100.00%
Context
262.1K
Route
wandb/fp8
DeepSeek V4 ProWinner · DeepInfra

deepseek/deepseek-v4-pro

DeepInfra
Blended price
$1.7333 / 1M
500-token response
18.19 s
Response starts
0.94 s
Output speed
29.0 tok/s
Route uptime
98.79%
Context
1M
Route
deepinfra/fp4
Weights & Biases
Blended price
$2.32 / 1M
500-token response
126.79 s
Response starts
1.79 s
Output speed
4.0 tok/s
Route uptime
97.62%
Context
1M
Route
wandb/fp8
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
Weights & Biases
Blended price
$0.1867 / 1M
500-token response
23.36 s
Response starts
0.63 s
Output speed
22.0 tok/s
Route uptime
99.69%
Context
1M
Route
wandb/fp8
Kimi K2.6Winner · Weights & Biases

moonshotai/kimi-k2.6

DeepInfra
Blended price
$1.6667 / 1M
500-token response
12.84 s
Response starts
0.93 s
Output speed
42.0 tok/s
Route uptime
99.94%
Context
262.1K
Route
deepinfra/fp4
Weights & Biases
Blended price
$1.9667 / 1M
500-token response
4.30 s
Response starts
0.45 s
Output speed
130.0 tok/s
Route uptime
100.00%
Context
262.1K
Route
wandb/fp4
Gemma 4 31BWinner · Weights & Biases

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
Weights & Biases
Blended price
$0.1967 / 1M
500-token response
17.81 s
Response starts
0.57 s
Output speed
29.0 tok/s
Route uptime
99.79%
Context
262.1K
Route
wandb/bf16
Qwen3.5-35B-A3BWinner · DeepInfra

qwen/qwen3.5-35b-a3b

DeepInfra
Blended price
$0.4267 / 1M
500-token response
5.89 s
Response starts
0.28 s
Output speed
89.0 tok/s
Route uptime
99.69%
Context
262.1K
Route
deepinfra/fp8
Weights & Biases
Blended price
$0.5833 / 1M
500-token response
6.24 s
Response starts
0.46 s
Output speed
86.5 tok/s
Route uptime
100.00%
Context
262.1K
Route
wandb/fp8
MiniMax M2.5Winner · Weights & Biases

minimax/minimax-m2.5

DeepInfra
Blended price
$0.4833 / 1M
500-token response
11.21 s
Response starts
1.01 s
Output speed
49.0 tok/s
Route uptime
100.00%
Context
196.6K
Route
deepinfra/fp8
Weights & Biases
Blended price
$0.6 / 1M
500-token response
6.40 s
Response starts
0.38 s
Output speed
83.0 tok/s
Route uptime
N/a
Context
196.6K
Route
wandb/fp8
DeepSeek V3.1Winner · Weights & Biases

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
Weights & Biases
Blended price
$0.9167 / 1M
500-token response
10.15 s
Response starts
0.34 s
Output speed
51.0 tok/s
Route uptime
100.00%
Context
161K
Route
wandb/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
Weights & Biases
Blended price
$0.0733 / 1M
500-token response
16.33 s
Response starts
1.18 s
Output speed
33.0 tok/s
Route uptime
29.94%
Context
131.1K
Route
wandb/fp4
gpt-oss-20bWinner · Weights & Biases

openai/gpt-oss-20b

DeepInfra
Blended price
$0.0667 / 1M
500-token response
5.15 s
Response starts
0.35 s
Output speed
104.0 tok/s
Route uptime
99.78%
Context
131.1K
Route
deepinfra/bf16
Weights & Biases
Blended price
$0.0633 / 1M
500-token response
3.58 s
Response starts
0.27 s
Output speed
151.0 tok/s
Route uptime
99.67%
Context
131.1K
Route
wandb/fp4
Qwen3 Coder 480B A35BWinner · DeepInfra

qwen/qwen3-coder

DeepInfra
Blended price
$0.5333 / 1M
500-token response
7.51 s
Response starts
0.36 s
Output speed
70.0 tok/s
Route uptime
99.84%
Context
262.1K
Route
deepinfra/turbo
Weights & Biases
Blended price
$1.1667 / 1M
500-token response
10.19 s
Response starts
0.39 s
Output speed
51.0 tok/s
Route uptime
N/a
Context
262.1K
Route
wandb/bf16
Llama 3.3 70B InstructWinner · DeepInfra

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
Weights & Biases
Blended price
$0.71 / 1M
500-token response
7.82 s
Response starts
0.24 s
Output speed
66.0 tok/s
Route uptime
100.00%
Context
128K
Route
wandb/fp16
Llama 3.1 70B InstructWinner · DeepInfra

meta-llama/llama-3.1-70b-instruct

DeepInfra
Blended price
$0.4 / 1M
500-token response
24.12 s
Response starts
0.31 s
Output speed
21.0 tok/s
Route uptime
92.72%
Context
131.1K
Route
deepinfra/turbo
Weights & Biases
Blended price
$0.8 / 1M
500-token response
17.46 s
Response starts
0.22 s
Output speed
29.0 tok/s
Route uptime
100.00%
Context
128K
Route
wandb/bf16
Llama 3.1 8B InstructWinner · Weights & Biases

meta-llama/llama-3.1-8b-instruct

DeepInfra
Blended price
$0.0233 / 1M
500-token response
34.28 s
Response starts
0.95 s
Output speed
15.0 tok/s
Route uptime
99.70%
Context
131.1K
Route
deepinfra/fp8
Weights & Biases
Blended price
$0.22 / 1M
500-token response
3.58 s
Response starts
0.18 s
Output speed
147.0 tok/s
Route uptime
100.00%
Context
128K
Route
wandb/bf16

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 Weights & Biases analysis

How DeepInfra and Weights & Biases compare for AI inference

DeepInfra and Weights & Biases share 16 indexed text models, including GLM 5.2, Kimi K2.7 Code, Qwen3.6 27B, DeepSeek V4 Pro, DeepSeek V4 Flash. Weights & Biases has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

16 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

16 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; Weights & Biases has 19 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.