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Same-model provider benchmark

Fireworks vs Morph: LLM provider comparison

Compare Fireworks and Morph on 3 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

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

2.52× typical advantage

3 exact models with complete recent speed data

Lowest token cost

$0.9571 / 1M

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

Most models available

8 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricFireworksMorph
Typical 500-token response7.79 s18.68 s
Typical response start1.04 s1.13 s
Typical output speed74.0 tok/s28.0 tok/s
Blended token price$1.0622 / 1M$0.9571 / 1M
Typical route uptime99.00%97.06%

Visual comparison

Price and performance charts

FireworksMorph
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 3 measured models.

Blended token price by shared model

USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.

Morph has the lower typical price ratio across 3 priced shared models.

Shared text models

3 exact models · newest first

ModelFireworksMorph
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
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
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
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 · 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
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.

Fireworks vs Morph analysis

How Fireworks and Morph compare for AI inference

Fireworks and Morph share 3 indexed text models, including GLM 5.2, DeepSeek V4 Flash, MiniMax M2.7. Fireworks has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

3 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

3 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; Morph has 7 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 Morph.