Near AI — pricing & performance
Models served
3
of 1,234 tracked models
Mean output speed
43
tokens per second, averaged over
3 measured endpoints
3 measured endpoints
Mean latency
1.2s
time to first token, averaged over
3 measured endpoints
3 measured endpoints
Cheapest blended
$0.060
per 1M tokens at a 3:1
input:output blend
input:output blend
Output speed on Near AI
Output tokens per second for all 3 models on Near AI with published throughput telemetry, the most recent figure OpenRouter publishes for each host. Higher is better. We do not run these measurements ourselves.
All 3 of 3 models⇩
The Known Good
3 models on Near AI
Full leaderboard →
| Model | Creator | Input $/M | Output $/M | Blended | Speed | TTFT | Context |
|---|---|---|---|---|---|---|---|
OpenAI: gpt-oss-120b
|
OpenAI | $0.030 | $0.15 | $0.060 | 43 | 0.7s | 131k |
Qwen: Qwen3.8 27B
|
Alibaba | $0.040 | $1.35 | $0.37 | 68 | 1.1s | 262k |
Z.ai: GLM 5.3 Flash
|
Z.ai | $0.080 | $0.50 | $0.18 | 18 | 2.0s | 1.05M |
The Known Good
Source. Prices, endpoint availability and throughput for Near AI 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.