Crusoe
7 indexed models
- Headquarters
United States- Server regions
- N/a
- Model types
- 7 text
Same-model provider benchmark
Crusoe vs Friendli: LLM provider comparison
Compare Crusoe and Friendli on 3 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
Friendli
6 indexed models
- Headquarters
- United States
- Server regions
- N/a
- Model types
- 6 text
At a glance
Metric winners
There is no overall score. Each winner answers one specific question using only directly comparable data.
Shared-model benchmark summary
| Metric | ||
|---|---|---|
| Speed | Crusoe11.96 s | Friendli16.41 s |
| TTFT | Crusoe0.39 s | Friendli0.54 s |
| TPS | Crusoe43.0 tok/s | Friendli45.0 tok/s |
| Uptime | Crusoe99.58% | Friendli99.90% |
| Blended | Crusoe$0.9689 / 1M | Friendli$1.0089 / 1M |
Green value Better comparable resultRed value Worse comparable result
Visual comparison
Price and performance charts
Estimated seconds using recent median response-start and output-speed data. Lower is better.
Friendli has the lower typical same-model response ratio across 3 measured models.
USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.
Crusoe has the lower typical price ratio across 3 priced shared models.
| Model | ||
|---|---|---|
 GLM 5.1Winner · Friendli | Crusoe
| Friendli
|
 Gemma 4 31BWinner · Friendli | Crusoe
| Friendli
|
 Qwen3 235B A22B Instruct 2507Winner · Crusoe | Crusoe
| Friendli
|
A per-model winner combines blended price and estimated 500-token response time with equal proportional weight. Ties and rows missing either measurement receive no badge. Comparison data calculated . Values use one deterministic route per provider and model; missing measurements remain visible as N/a.
Crusoe vs Friendli analysis
How Crusoe and Friendli compare for AI inference
Crusoe and Friendli share 3 indexed text models, including GLM 5.1, Gemma 4 31B, Qwen3 235B A22B Instruct 2507. Friendli has the stronger typical response-time result on the directly measured set.
Same-model speed evidence
3 shared models currently have complete response-start and output-speed measurements on both providers. The speed comparison uses per-model ratios before taking the median, so naturally faster model catalogs do not improve the result.
Token pricing on one workload
3 shared models have complete input and output prices on both providers. Prices use the same 1,000-input/500-output-token mix and are normalized to one million tokens for readability.
Catalog and deployment differences
Crusoe has 7 indexed models and lists no published server regions; Friendli has 6 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.
Related same-model benchmarks
Compare with other providers
Explore qualified alternatives with the most shared measured models. Recommendations include comparisons for both Crusoe and Friendli.
