Morph — pricing & performance
Models served
15
of 1,302 tracked models
Mean output speed
526
tokens per second, averaged over
14 measured endpoints
14 measured endpoints
Mean latency
1.7s
time to first token, averaged over
14 measured endpoints
14 measured endpoints
Cheapest blended
$0.17
per 1M tokens at a 3:1
input:output blend
input:output blend
Output speed on Morph
Output tokens per second for the 14 of 15 models on Morph with published throughput telemetry, the most recent figure OpenRouter publishes for each host. The full table below lists all 15, measured or not. Higher is better. We do not run these measurements ourselves.
The Known Good
15 models on Morph
Full leaderboard →
| Model | Creator | Input $/M | Output $/M | Blended | Speed | TTFT | Context |
|---|---|---|---|---|---|---|---|
|
|
DeepSeek | $0.14 | $0.28 | $0.17 | 18 | 1.2s | 1.05M |
|
|
DeepSeek | $0.14 | $0.40 | $0.21 | 29 | 1.2s | 1.05M |
|
|
DeepSeek | $0.45 | $0.60 | $0.49 | 174 | 0.3s | 1.05M |
|
|
DeepSeek | $0.45 | $0.60 | $0.49 | 147 | 0.6s | 1.05M |
|
|
$0.14 | $0.40 | $0.20 | 11 | 7.4s | 175k | |
|
|
MiniMax | $0.26 | $1.02 | $0.45 | 10 | 6.4s | 256k |
|
|
Moonshot AI | $1.36 | $14.90 | $4.74 | 171 | 1.0s | 1.05M |
| Mo Morph: Morph V3 Fast | morph | $0.80 | $1.20 | $0.90 | 3,570 | 0.6s | 262k |
| Mo Morph: Morph V3 Large | morph | $0.90 | $1.90 | $1.15 | 2,954 | 0.4s | 262k |
|
|
Alibaba | $0.50 | $3.50 | $1.25 | 52 | 0.7s | 262k |
|
|
Alibaba | $0.29 | $2.40 | $0.82 | — | — | 131k |
|
|
Alibaba | $0.29 | $2.40 | $0.82 | 53 | 1.2s | 131k |
|
|
Z.ai | $0.38 | $4.40 | $1.39 | 42 | 0.8s | 1.05M |
|
|
Z.ai | $0.38 | $4.40 | $1.39 | 38 | 0.7s | 1.05M |
|
|
Z.ai | $0.36 | $0.65 | $0.43 | 98 | 0.7s | 1.05M |
The Known Good
Source. Prices, endpoint availability and throughput for Morph are ingested from OpenRouter;
model metadata is enriched from models.dev. A blank cell means the figure was not published for that endpoint —
it never means zero. Blended price is (3 × input + output) ÷ 4, the same 3:1 blend used everywhere on this
site; see methodology. Quality scores are not provider-specific:
a model scores the same wherever it is hosted, so quality lives on the
model pages.