Llama 3.3 70B Instruct: 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 | 99.88%◆ (best) | 96.80% | 92.31% | 97.32% | 1.22s | 4.35s | 41 tps | 12K | $0.135 / $0.400 | |
| Healthy | 99.84% | 99.68% | 99.73% | 99.83% | 1.56s | 6.67s | 65 tps | 128K | $0.710 / $0.710 | |
Groqgroq | Healthy | 99.83% | 99.85% | 99.82%◆ (best) | 99.78% | 379ms◆ (best) | 1.48s | 257 tps◆ (best) | 131K | $0.590 / $0.790 |
| Healthy | 99.72% | 99.48% | 98.88% | 99.34% | 1.55s | 7.42s | 56 tps | 131K | $0.220 / $0.500 | |
| Healthy | 99.60% | 99.62% | 99.53% | 99.57% | 3.35s | 11.7s | 24 tps | 131K | $0.200 / $0.520 | |
| Healthy | 99.34% | 99.40% | 98.30% | 98.02% | 718ms | 20.5s | 10 tps | 131K | $0.100 / $0.320◆ (best) | |
| Healthy | 98.81% | 99.01% | 98.11% | 97.75% | 1.23s | 7.53s | 34 tps | 24K | $0.293 / $2.25 | |
SambaNovasambanova-turbo | Healthy | 98.57% | 98.49% | 99.11% | 98.84% | 1.06s | 4.51s | 118 tps | 131K | $0.450 / $0.900 |
Togethertogether | Healthy | 96.92% | 96.63% | 98.61% | 97.97% | 1.21s | 6.50s | 50 tps | 131K | $1.04 / $1.04 |
| No data | — | — | — | 99.90% | — | — | — | 131K | $0.250 / $0.750 | |
Googlegoogle-vertex | No data | — | — | — | 99.13% | 1.49s | 1.49s | 118 tps | 128K | $0.720 / $0.720 |
Googlegoogle-vertex/us-central1 | No data | — | — | — | 99.99%◆ (best) | 1.10s | 1.10s◆ (best) | 115 tps | 128K | $0.720 / $0.720 |
| No data | — | — | — | 53.95% | — | — | — | 131K | $0.130 / $0.400 | |
PrimeIntellectprimeintellect | No data | — | — | 99.65% | 99.65% | — | — | — | 131K | $1.04 / $2.25 |
- Novita99.88%◆ (best)Healthy24h 96.80%
- 7d
- 92.31%
- 30d
- 97.32%
- p50
- 1.22s
- p99
- 4.35s
- Throughput
- 41 tps
- Context
- 12K
- $/Mtok
- $0.135 / $0.400
novita/bf16bf16 - CoreWeave99.84%Healthy24h 99.68%
- 7d
- 99.73%
- 30d
- 99.83%
- p50
- 1.56s
- p99
- 6.67s
- Throughput
- 65 tps
- Context
- 128K
- $/Mtok
- $0.710 / $0.710
coreweave/fp16fp16 - Groq99.83%Healthy24h 99.85%
- 7d
- 99.82%◆ (best)
- 30d
- 99.78%
- p50
- 379ms◆ (best)
- p99
- 1.48s
- Throughput
- 257 tps◆ (best)
- Context
- 131K
- $/Mtok
- $0.590 / $0.790
groq - Parasail99.72%Healthy24h 99.48%
- 7d
- 98.88%
- 30d
- 99.34%
- p50
- 1.55s
- p99
- 7.42s
- Throughput
- 56 tps
- Context
- 131K
- $/Mtok
- $0.220 / $0.500
parasail/fp8fp8 - AkashML99.60%Healthy24h 99.62%
- 7d
- 99.53%
- 30d
- 99.57%
- p50
- 3.35s
- p99
- 11.7s
- Throughput
- 24 tps
- Context
- 131K
- $/Mtok
- $0.200 / $0.520
akashml/fp8fp8 - DeepInfra99.34%Healthy24h 99.40%
- 7d
- 98.30%
- 30d
- 98.02%
- p50
- 718ms
- p99
- 20.5s
- Throughput
- 10 tps
- Context
- 131K
- $/Mtok
- $0.100 / $0.320◆ (best)
deepinfra/turbofp8 - Cloudflare98.81%Healthy24h 99.01%
- 7d
- 98.11%
- 30d
- 97.75%
- p50
- 1.23s
- p99
- 7.53s
- Throughput
- 34 tps
- Context
- 24K
- $/Mtok
- $0.293 / $2.25
cloudflare/fp8fp8 - SambaNova98.57%Healthy24h 98.49%
- 7d
- 99.11%
- 30d
- 98.84%
- p50
- 1.06s
- p99
- 4.51s
- Throughput
- 118 tps
- Context
- 131K
- $/Mtok
- $0.450 / $0.900
sambanova-turbo - Together96.92%Healthy24h 96.63%
- 7d
- 98.61%
- 30d
- 97.97%
- p50
- 1.21s
- p99
- 6.50s
- Throughput
- 50 tps
- Context
- 131K
- $/Mtok
- $1.04 / $1.04
together - No data24h —
- 7d
- —
- 30d
- 99.90%
- p50
- —
- p99
- —
- Throughput
- —
- Context
- 131K
- $/Mtok
- $0.250 / $0.750
crusoe/bf16bf16 - No data24h —
- 7d
- —
- 30d
- 99.13%
- p50
- 1.49s
- p99
- 1.49s
- Throughput
- 118 tps
- Context
- 128K
- $/Mtok
- $0.720 / $0.720
google-vertex - No data24h —
- 7d
- —
- 30d
- 99.99%◆ (best)
- p50
- 1.10s
- p99
- 1.10s◆ (best)
- Throughput
- 115 tps
- Context
- 128K
- $/Mtok
- $0.720 / $0.720
google-vertex/us-central1 - No data24h —
- 7d
- —
- 30d
- 53.95%
- p50
- —
- p99
- —
- Throughput
- —
- Context
- 131K
- $/Mtok
- $0.130 / $0.400
nebius/fp8fp8 - No data24h —
- 7d
- 99.65%
- 30d
- 99.65%
- p50
- —
- p99
- —
- Throughput
- —
- Context
- 131K
- $/Mtok
- $1.04 / $2.25
primeintellect
Measured 1m 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.
Throughput
Median tokens per second.