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Same-model provider benchmark

Fireworks vs Together: LLM provider comparison

Compare Fireworks and Together 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

Together

19 indexed models

Headquarters
United States
Server regions
N/a
Model types
17 text, 2 transcription

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

Together

1.42× typical advantage

6 exact models with complete recent speed data

Lowest token cost

Fireworks

$1.5667 / 1M

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

Most models available

Together

19 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricFireworksTogether
Typical 500-token response9.32 s4.92 s
Typical response start0.88 s0.53 s
Typical output speed64.0 tok/s114.5 tok/s
Blended token price$1.5667 / 1M$1.6144 / 1M
Typical route uptime99.00%94.55%

Visual comparison

Price and performance charts

FireworksTogether
500-token response by shared model

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

Together 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.

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

Shared text models

6 exact models · newest first

ModelFireworksTogether
GLM 5.2Winner · Together

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
Together
Blended price
$2.4 / 1M
500-token response
8.95 s
Response starts
0.88 s
Output speed
62.0 tok/s
Route uptime
94.55%
Context
262.1K
Route
together
Kimi K2.7 CodeWinner · Together

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
Together
Blended price
$1.9667 / 1M
500-token response
3.47 s
Response starts
0.49 s
Output speed
168.0 tok/s
Route uptime
99.29%
Context
262.1K
Route
together
DeepSeek V4 ProWinner · Together

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
Together
Blended price
$2.32 / 1M
500-token response
16.18 s
Response starts
0.56 s
Output speed
32.0 tok/s
Route uptime
93.72%
Context
512K
Route
together
Kimi K2.6Winner · Together

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
Together
Blended price
$2.3 / 1M
500-token response
5.21 s
Response starts
0.54 s
Output speed
107.0 tok/s
Route uptime
99.73%
Context
262.1K
Route
together
MiniMax M2.7Winner · Fireworks

minimax/minimax-m2.7

Fireworks
Blended price
$0.6 / 1M
500-token response
3.88 s
Response starts
0.53 s
Output speed
149.0 tok/s
Route uptime
100.00%
Context
196.6K
Route
fireworks
Together
Blended price
$0.6 / 1M
500-token response
4.62 s
Response starts
0.52 s
Output speed
122.0 tok/s
Route uptime
98.83%
Context
196.6K
Route
together/fp4
gpt-oss-20bWinner · Together

openai/gpt-oss-20b

Fireworks
Blended price
$0.1467 / 1M
500-token response
4.43 s
Response starts
0.34 s
Output speed
122.0 tok/s
Route uptime
99.62%
Context
131.1K
Route
fireworks
Together
Blended price
$0.1 / 1M
500-token response
2.95 s
Response starts
0.23 s
Output speed
184.0 tok/s
Route uptime
N/a
Context
131.1K
Route
together

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 Together analysis

How Fireworks and Together compare for AI inference

Fireworks and Together share 6 indexed text models, including GLM 5.2, Kimi K2.7 Code, DeepSeek V4 Pro, Kimi K2.6, MiniMax M2.7. Together 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; Together has 19 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.

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