GLM 5.1: providers compared
Every endpoint serving this model, side by side. ◆ marks the best value in each column — per model, never fleet-wide.
Current state
| State | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Healthy | 100%◆ (best) | 99.68% | 99.72% | 99.72% | 1.49s | 5.49s | 54 tps | 203K | $1.26 / $3.96 | |
| Healthy | 100%◆ (best) | 99.74% | 99.45% | 99.45% | 656ms | 12.9s | 76 tps | 203K | $1.20 / $4.40 | |
Friendlifriendli | Healthy | 100%◆ (best) | 99.98% | 99.96%◆ (best) | 99.96%◆ (best) | 248ms◆ (best) | 3.99s | 63 tps | 203K | $1.40 / $4.40 |
| Healthy | 100%◆ (best) | 99.62% | 99.59% | 99.59% | 1.81s | 15.3s | 62 tps | 203K | $0.910 / $2.86 | |
| Healthy | 100%◆ (best) | 98.20% | 97.56% | 97.56% | 783ms | 12.0s | 28 tps | 203K | $1.40 / $4.40 | |
| Healthy | 100%◆ (best) | 98.92% | 99.43% | 99.43% | 707ms | 11.0s | 96 tps◆ (best) | 203K | $1.40 / $4.40 | |
| Healthy | 100%◆ (best) | 99.94% | 99.89% | 99.89% | 1.70s | 6.96s | 48 tps | 205K | $1.19 / $3.74 | |
| Healthy | 100%◆ (best) | 99.51% | 98.85% | 98.85% | 1.92s | 6.82s | 29 tps | 200K | $0.966 / $3.04 | |
| Healthy | 100%◆ (best) | 99.92% | 99.11% | 99.11% | 4.06s | 6.69s | 23 tps | 203K | $1.40 / $4.40 | |
| Healthy | 99.65% | 99.97% | 99.90% | 99.90% | 1.55s | 7.48s | 52 tps | 203K | $0.896 / $2.82◆ (best) | |
| Down | 75.44% | 76.15% | 83.07% | 83.07% | 3.34s | 74.5s | 26 tps | 203K | $0.980 / $3.08 | |
| No data | — | 99.90% | 99.78% | 99.78% | 1.78s | 3.91s◆ (best) | 56 tps | 203K | $1.33 / $4.18 | |
| No data | — | 99.70% | 99.41% | 99.41% | 5.00s | 7.38s | 8.0 tps | 203K | $1.05 / $3.50 | |
DigitalOceandigitalocean | No data | — | 97.37% | 94.17% | 94.17% | 1.82s | 17.2s | 11 tps | 164K | $1.30 / $4.30 |
| No data | — | 99.87% | 99.36% | 99.36% | 1.76s | 6.34s | 59 tps | 205K | $1.38 / $4.40 | |
Phalaphala | No data | — | 76.83% | 83.99% | 83.99% | 2.35s | 27.0s | 28 tps | 203K | $1.21 / $4.20 |
| No data | — | 97.86% | 96.55% | 96.55% | 6.07s | 8.21s | 10 tps | 200K | $1.54 / $4.84 |
- AtlasCloud100%◆ (best)Healthy24h 99.68%
- 7d
- 99.72%
- 30d
- 99.72%
- p50
- 1.49s
- p99
- 5.49s
- Throughput
- 54 tps
- Context
- 203K
- $/Mtok
- $1.26 / $3.96
atlas-cloud/fp8fp8 - Crusoe100%◆ (best)Healthy24h 99.74%
- 7d
- 99.45%
- 30d
- 99.45%
- p50
- 656ms
- p99
- 12.9s
- Throughput
- 76 tps
- Context
- 203K
- $/Mtok
- $1.20 / $4.40
crusoe/fp8fp8 - Friendli100%◆ (best)Healthy24h 99.98%
- 7d
- 99.96%◆ (best)
- 30d
- 99.96%◆ (best)
- p50
- 248ms◆ (best)
- p99
- 3.99s
- Throughput
- 63 tps
- Context
- 203K
- $/Mtok
- $1.40 / $4.40
friendli - GMICloud100%◆ (best)Healthy24h 99.62%
- 7d
- 99.59%
- 30d
- 99.59%
- p50
- 1.81s
- p99
- 15.3s
- Throughput
- 62 tps
- Context
- 203K
- $/Mtok
- $0.910 / $2.86
gmicloud/fp8fp8 - Nebius100%◆ (best)Healthy24h 98.20%
- 7d
- 97.56%
- 30d
- 97.56%
- p50
- 783ms
- p99
- 12.0s
- Throughput
- 28 tps
- Context
- 203K
- $/Mtok
- $1.40 / $4.40
nebius/fp8fp8 - Parasail100%◆ (best)Healthy24h 98.92%
- 7d
- 99.43%
- 30d
- 99.43%
- p50
- 707ms
- p99
- 11.0s
- Throughput
- 96 tps◆ (best)
- Context
- 203K
- $/Mtok
- $1.40 / $4.40
parasail/fp8fp8 - SiliconFlow100%◆ (best)Healthy24h 99.94%
- 7d
- 99.89%
- 30d
- 99.89%
- p50
- 1.70s
- p99
- 6.96s
- Throughput
- 48 tps
- Context
- 205K
- $/Mtok
- $1.19 / $3.74
siliconflow/fp8fp8 - StreamLake100%◆ (best)Healthy24h 99.51%
- 7d
- 98.85%
- 30d
- 98.85%
- p50
- 1.92s
- p99
- 6.82s
- Throughput
- 29 tps
- Context
- 200K
- $/Mtok
- $0.966 / $3.04
streamlake/fp8fp8 - Z.AI100%◆ (best)Healthy24h 99.92%
- 7d
- 99.11%
- 30d
- 99.11%
- p50
- 4.06s
- p99
- 6.69s
- Throughput
- 23 tps
- Context
- 203K
- $/Mtok
- $1.40 / $4.40
z-ai/fp8fp8 - Baidu99.65%Healthy24h 99.97%
- 7d
- 99.90%
- 30d
- 99.90%
- p50
- 1.55s
- p99
- 7.48s
- Throughput
- 52 tps
- Context
- 203K
- $/Mtok
- $0.896 / $2.82◆ (best)
baidu/fp8fp8 - Chutes75.44%Down24h 76.15%
- 7d
- 83.07%
- 30d
- 83.07%
- p50
- 3.34s
- p99
- 74.5s
- Throughput
- 26 tps
- Context
- 203K
- $/Mtok
- $0.980 / $3.08
chutes/fp8fp8 - No data24h 99.90%
- 7d
- 99.78%
- 30d
- 99.78%
- p50
- 1.78s
- p99
- 3.91s◆ (best)
- Throughput
- 56 tps
- Context
- 203K
- $/Mtok
- $1.33 / $4.18
alibaba/fp8fp8 - No data24h 99.70%
- 7d
- 99.41%
- 30d
- 99.41%
- p50
- 5.00s
- p99
- 7.38s
- Throughput
- 8.0 tps
- Context
- 203K
- $/Mtok
- $1.05 / $3.50
deepinfra/fp4fp4 - No data24h 97.37%
- 7d
- 94.17%
- 30d
- 94.17%
- p50
- 1.82s
- p99
- 17.2s
- Throughput
- 11 tps
- Context
- 164K
- $/Mtok
- $1.30 / $4.30
digitalocean - No data24h 99.87%
- 7d
- 99.36%
- 30d
- 99.36%
- p50
- 1.76s
- p99
- 6.34s
- Throughput
- 59 tps
- Context
- 205K
- $/Mtok
- $1.38 / $4.40
novita/fp8fp8 - No data24h 76.83%
- 7d
- 83.99%
- 30d
- 83.99%
- p50
- 2.35s
- p99
- 27.0s
- Throughput
- 28 tps
- Context
- 203K
- $/Mtok
- $1.21 / $4.20
phala - No data24h 97.86%
- 7d
- 96.55%
- 30d
- 96.55%
- p50
- 6.07s
- p99
- 8.21s
- Throughput
- 10 tps
- Context
- 200K
- $/Mtok
- $1.54 / $4.84
venice/fp8fp8
Measured 4m ago. Latency and throughput are OpenRouter's rolling 30-minute windows. ◆ marks the best value in each column among these endpoints.
Price vs latency
One dot per endpoint at the latest round · further left = faster, lower = cheaper · hover a dot for its tag
History
Availability
Axis starts at 90% so small differences stay visible; it expands to 0 when an endpoint falls below.
Time to first token
Logarithmic axis — the fleet spans two orders of magnitude. P50 is OpenRouter's rolling 30-minute window, averaged over the hour.
Throughput
Median tokens per second.