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Same-model provider benchmark

Fireworks vs Moonshot AI: LLM provider comparison

Compare Fireworks and Moonshot AI on 3 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

Fireworks

9 indexed models

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

Moonshot AI

4 indexed models

Headquarters
Singapore
Server regions
Singapore
Model types
4 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

2.81× typical advantage

3 exact models with complete recent speed data

Lowest token cost

Equal result

Tie

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

Most models available

Fireworks

9 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricFireworks(0)Moonshot AI(0)
SpeedFireworks8.06 sMoonshot AI26.60 s
TTFTFireworks1.28 sMoonshot AI4.86 s
TPSFireworks66.0 tok/sMoonshot AI24.0 tok/s
UptimeFireworks98.02%Moonshot AI99.97%
BlendedFireworks$3.6444 / 1MMoonshot AI$3.6444 / 1M
Green value Better comparable resultRed value Worse comparable result

Visual comparison

Price and performance charts

FireworksMoonshot AI
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.

Neither provider has a clear token-price advantage.

Shared text models

3 exact models · newest first

ModelFireworks(0)Moonshot AI(0)
Kimi K3Winner · Fireworks
Fireworks
Speed— Best comparable value
18.28 s
TTFT— Best comparable value
3.57 s
TPS— Best comparable value
34.0 tok/s
Uptime— Worst comparable value
98.02%
Context
1M
Route
fireworks
Blended
$7 / 1M
Moonshot AI
Speed— Worst comparable value
26.60 s
TTFT— Worst comparable value
4.86 s
TPS— Worst comparable value
23.0 tok/s
Uptime— Best comparable value
99.97%
Context
1M
Route
moonshotai/mxfp4
Blended
$7 / 1M
Kimi K2.7 CodeWinner · Fireworks
Fireworks
Speed— Best comparable value
6.90 s
TTFT— Best comparable value
1.28 s
TPS— Best comparable value
89.0 tok/s
Uptime
N/a
Context
262.1K
Route
fireworks
Blended
$1.9667 / 1M
Moonshot AI
Speed— Worst comparable value
26.71 s
TTFT— Worst comparable value
5.88 s
TPS— Worst comparable value
24.0 tok/s
Uptime
96.92%
Context
262.1K
Route
moonshotai/int4
Blended
$1.9667 / 1M
Kimi K2.6Winner · Fireworks
Fireworks
Speed— Best comparable value
8.06 s
TTFT— Best comparable value
0.48 s
TPS— Best comparable value
66.0 tok/s
Uptime
N/a
Context
262.1K
Route
fireworks
Blended
$1.9667 / 1M
Moonshot AI
Speed— Worst comparable value
22.62 s
TTFT— Worst comparable value
2.62 s
TPS— Worst comparable value
25.0 tok/s
Uptime
99.82%
Context
262.1K
Route
moonshotai/int4
Blended
$1.9667 / 1M

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 Moonshot AI analysis

How Fireworks and Moonshot AI compare for AI inference

Fireworks and Moonshot AI share 3 indexed text models, including Kimi K3, Kimi K2.7 Code, Kimi K2.6. 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 9 indexed models and lists no published server regions; Moonshot AI has 4 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.

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