AkashML — pricing & performance
Models served
5
of 947 tracked models
Mean output speed
59
tokens per second, averaged over
5 measured endpoints
5 measured endpoints
Mean latency
1.5s
time to first token, averaged over
5 measured endpoints
5 measured endpoints
Cheapest blended
$0.12
per 1M tokens at a 3:1
input:output blend
input:output blend
Output speed on AkashML
Median output tokens per second for all 5 models on AkashML with published throughput telemetry from OpenRouter. Higher is better. We do not run these measurements ourselves.
All 5 of 5 models⇩
The Known Good
5 models on AkashML
Full leaderboard →
| Model | Creator | Input $/M | Output $/M | Blended | Speed | TTFT | Context |
|---|---|---|---|---|---|---|---|
|
|
DeepSeek | $0.098 | $0.20 | $0.12 | 13 | 1.6s | 131k |
|
|
Meta | $0.13 | $0.40 | $0.20 | 20 | 0.7s | 131k |
|
|
Alibaba | $0.14 | $1.00 | $0.35 | 156 | 1.2s | 262k |
|
|
Alibaba | $0.14 | $1.00 | $0.35 | 64 | 1.1s | 262k |
|
|
Z.ai | $0.77 | $2.42 | $1.18 | 44 | 2.9s | 97k |
The Known Good
Source. Prices, endpoint availability and throughput for AkashML 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.