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Same-model provider benchmark

Fireworks vs Venice: LLM provider comparison

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

Fireworks

8 indexed models

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

Venice

29 indexed models

Headquarters
United States
Server regions
United States
Model types
29 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

Fireworks

1.37× typical advantage

6 exact models with complete recent speed data

Lowest token cost

Venice

$1.7929 / 1M

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

Most models available

Venice

29 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricFireworksVenice
Typical 500-token response10.52 s14.46 s
Typical response start1.25 s1.44 s
Typical output speed56.8 tok/s39.0 tok/s
Blended token price$1.8733 / 1M$1.7929 / 1M
Typical route uptime98.20%97.03%

Visual comparison

Price and performance charts

FireworksVenice
500-token response by shared model

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

Fireworks 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.

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

Shared text models

6 exact models · newest first

ModelFireworksVenice
GLM 5.2Winner · Fireworks

z-ai/glm-5.2

Fireworks
Blended price
$2.4 / 1M
500-token response
11.65 s
Response starts
1.23 s
Output speed
48.0 tok/s
Route uptime
99.00%
Context
1M
Route
fireworks
Venice
Blended price
$2.4 / 1M
500-token response
14.33 s
Response starts
1.17 s
Output speed
38.0 tok/s
Route uptime
94.48%
Context
1M
Route
venice/fp8
Kimi K2.7 CodeWinner · Venice

moonshotai/kimi-k2.7-code

Fireworks
Blended price
$1.9667 / 1M
500-token response
11.81 s
Response starts
2.19 s
Output speed
52.0 tok/s
Route uptime
N/a
Context
262.1K
Route
fireworks
Venice
Blended price
$1.6667 / 1M
500-token response
8.94 s
Response starts
1.25 s
Output speed
65.0 tok/s
Route uptime
N/a
Context
256K
Route
venice/int4
DeepSeek V4 ProWinner · Venice

deepseek/deepseek-v4-pro

Fireworks
Blended price
$2.32 / 1M
500-token response
34.18 s
Response starts
2.93 s
Output speed
16.0 tok/s
Route uptime
98.35%
Context
1M
Route
fireworks
Venice
Blended price
$2.2003 / 1M
500-token response
28.55 s
Response starts
2.23 s
Output speed
19.0 tok/s
Route uptime
99.91%
Context
1M
Route
venice
DeepSeek V4 FlashWinner · Fireworks

deepseek/deepseek-v4-flash

Fireworks
Blended price
$0.1867 / 1M
500-token response
7.79 s
Response starts
1.04 s
Output speed
74.0 tok/s
Route uptime
98.04%
Context
1M
Route
fireworks
Venice
Blended price
$0.1837 / 1M
500-token response
14.58 s
Response starts
2.08 s
Output speed
40.0 tok/s
Route uptime
99.58%
Context
1M
Route
venice
Kimi K2.6Winner · Fireworks

moonshotai/kimi-k2.6

Fireworks
Blended price
$1.9667 / 1M
500-token response
6.99 s
Response starts
0.41 s
Output speed
76.0 tok/s
Route uptime
N/a
Context
262.1K
Route
fireworks
Venice
Blended price
$1.6667 / 1M
500-token response
12.06 s
Response starts
1.43 s
Output speed
47.0 tok/s
Route uptime
99.22%
Context
256K
Route
venice/int4
GLM 5.1Winner · Fireworks

z-ai/glm-5.1

Fireworks
Blended price
$2.4 / 1M
500-token response
9.40 s
Response starts
1.27 s
Output speed
61.5 tok/s
Route uptime
87.25%
Context
202.8K
Route
fireworks
Venice
Blended price
$2.64 / 1M
500-token response
14.61 s
Response starts
1.46 s
Output speed
38.0 tok/s
Route uptime
88.98%
Context
200K
Route
venice/fp8

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.

Fireworks vs Venice analysis

How Fireworks and Venice compare for AI inference

Fireworks and Venice share 6 indexed text models, including GLM 5.2, Kimi K2.7 Code, DeepSeek V4 Pro, DeepSeek V4 Flash, Kimi K2.6. Fireworks 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

Fireworks has 8 indexed models and lists no published server regions; Venice has 29 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 Fireworks and Venice.

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Fireworks vs SiliconFlow

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Venice vs StreamLake

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