API providers
Who actually serves the models, what they charge for them, and how fast they answer. Prices and endpoint telemetry are ingested from OpenRouter — we do not run our own provider benchmarks.
84 hosts serving tracked models
All 84 of 84 providers
| Provider | Models served | Mean output t/s | Mean TTFT | Lowest blended $/M |
|---|---|---|---|---|
|
|
113 | 82 | 5.6s | $0.069 |
|
|
92 | 44 | 1.7s | $0.025 |
|
|
89 | 58 | 1.8s | $0.000 |
|
|
62 | 99 | 4.0s | $0.087 |
|
|
61 | 69 | 1.1s | $0.055 |
|
|
60 | 79 | 3.3s | $0.14 |
| Pa Parasail | 46 | 69 | 0.9s | $0.030 |
| Si SiliconFlow | 43 | 43 | 1.6s | $0.075 |
|
|
43 | 84 | 0.8s | $0.075 |
| AB Amazon Bedrock · first party | 40 | 83 | 2.6s | $0.061 |
| Ve Venice | 39 | 50 | 2.2s | $0.11 |
| At AtlasCloud | 36 | 54 | 1.7s | $0.000 |
|
|
33 | 92 | 2.6s | $0.10 |
| Ph Phala | 30 | 59 | 2.3s | $0.068 |
| Co CoreWeave | 29 | 99 | 0.5s | $0.055 |
| Gm GMICloud | 29 | 49 | 2.9s | $0.000 |
| St StreamLake | 29 | 61 | 1.5s | $0.066 |
|
|
27 | 80 | 5.5s | $0.000 |
|
|
27 | 98 | 1.8s | $0.075 |
|
|
25 | 101 | 2.0s | $0.12 |
| Di DigitalOcean | 23 | 37 | 1.0s | $0.12 |
| Ne Nebius | 20 | 67 | 1.8s | $0.10 |
| Ne NextBit | 20 | 48 | 1.6s | $0.060 |
| Cl Cloudflare | 19 | 57 | 1.3s | $0.041 |
| IN Io Net | 16 | 50 | 1.4s | $0.025 |
| Re Reka · first party | 16 | 66 | 1.0s | $0.095 |
|
|
14 | 120 | 0.9s | $0.16 |
| Mo Morph | 14 | 371 | 2.1s | $0.17 |
|
|
14 | 43 | 4.8s | $0.24 |
| Pr PrimeIntellect | 14 | 73 | 1.1s | $0.13 |
|
|
13 | 69 | 0.9s | $0.023 |
| Cr Crusoe | 12 | 103 | 0.6s | $0.087 |
| Da Darkbloom | 12 | 32 | 2.5s | $0.000 |
| Re Relace | 12 | 75 | 1.0s | $0.15 |
| CP Claude Platform on AWS | 12 | 60 | 2.2s | $0.20 |
| Ak AkashML | 11 | 46 | 1.0s | $0.040 |
| Ch Chutes | 11 | 23 | 2.7s | $0.18 |
| Wa Wafer | 11 | 72 | 1.1s | $0.084 |
| De DekaLLM | 11 | 58 | 0.9s | $0.021 |
|
|
9 | 292 | 0.3s | $0.058 |
| Io Ionstream | 9 | 37 | 6.7s | $0.17 |
| M2 Mancer 2 | 9 | 42 | 0.8s | $0.10 |
| SR Sail Research | 9 | 50 | 1.1s | $0.11 |
| Ma Makora | 9 | 92 | 1.2s | $0.12 |
| In InferenceNet | 9 | 102 | 1.0s | $0.060 |
| De Decart | 8 | 66 | 2.2s | $0.000 |
| Fr Friendli | 8 | 101 | 0.8s | $0.20 |
|
|
8 | 67 | 1.0s | $0.42 |
|
|
8 | 53 | 1.2s | $0.000 |
|
|
8 | 114 | 2.3s | $1.25 |
|
|
7 | 89 | 0.3s | $0.000 |
| In Inceptron | 7 | 58 | 0.8s | $0.20 |
| Mo ModelRun | 7 | 112 | 0.6s | $0.000 |
|
|
7 | 120 | 1.3s | $0.34 |
| Ai AionLabs | 6 | 49 | 1.4s | $0.88 |
|
|
6 | 86 | 0.9s | $0.26 |
| Ma Mara | 6 | 126 | 1.5s | $0.30 |
| NA Nex AGI | 6 | 72 | 2.3s | $0.000 |
| Op OpenInference | 6 | 25 | 2.0s | $0.000 |
| Po Poolside | 6 | 65 | 1.3s | $0.000 |
| Se Seed · first party | 6 | 63 | 0.9s | $0.13 |
|
|
5 | 125 | 3.3s | $0.12 |
|
|
5 | 46 | 13.4s | $1.00 |
|
|
5 | 68 | 1.9s | $0.077 |
| Xi Xiaomi · first party | 5 | 47 | 3.4s | $0.17 |
| Mo Modal | 5 | 107 | 0.7s | $0.24 |
| Am Ambient | 4 | 25 | 2.6s | $0.10 |
|
|
4 | 479 | 0.3s | $0.45 |
|
|
4 | 37 | 2.5s | $1.20 |
| SA Sakana AI | 4 | 66 | 6.4s | $1.71 |
| In Inception | 3 | 324 | 1.2s | $0.068 |
|
|
3 | 88 | 1.1s | $0.087 |
| St Stealth | 3 | 37 | 5.7s | $0.000 |
| In Inflection | 2 | — | — | $4.38 |
| Pe Perceptron | 2 | 54 | 0.6s | $0.49 |
| St StepFun | 2 | 105 | 3.3s | $0.44 |
| TM Thinking Machines · first party | 2 | 75 | 1.4s | $0.000 |
| Un Unbiased | 2 | 46 | 3.2s | $1.40 |
| Te Tenstorrent | 2 | 70 | 0.5s | $0.20 |
| Ai AI21 · first party | 1 | — | — | $3.50 |
| AA Arcee AI | 1 | 193 | 0.6s | $0.39 |
| Li Liquid | 1 | 226 | 0.4s | $0.000 |
| NA Near AI | 1 | 18 | 2.1s | $0.17 |
| Kr Krea | 1 | 99 | 1.9s | $0.39 |
How to read this. A host appears here once we have seen it serve at least one tracked model.
Mean output t/s and mean TTFT average that host's measurements across every model it serves, so a host
that only serves small models will look faster than one carrying frontier models — compare hosts on a single model
page for a like-for-like reading. Lowest blended $/M is the cheapest blended rate that host publishes for any
model, at a 3:1 input:output blend. Figures are ingested from OpenRouter endpoint listings and telemetry, with
metadata enriched from models.dev. See methodology and
attribution.