CoreWeave
20 indexed models
- Headquarters
United States
- Server regions
United States
- Model types
- 20 text
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Same-model provider benchmark
Compare CoreWeave and Together on 8 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
20 indexed models
22 indexed models
At a glance
There is no overall score. Each winner answers one specific question using only directly comparable data.
Visual comparison
Estimated seconds using recent median response-start and output-speed data. Lower is better.
CoreWeave has the lower typical same-model response ratio across 8 measured models.
USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.
CoreWeave has the lower typical price ratio across 8 priced shared models.
| Model | ||
|---|---|---|
GLM 5.2Winner · CoreWeave | CoreWeave
| Together
|
Kimi K2.7 CodeWinner · CoreWeave | CoreWeave
| Together
|
DeepSeek V4 ProWinner · Together | CoreWeave
| Together
|
Kimi K2.6Winner · CoreWeave | CoreWeave
| Together
|
Gemma 4 31BWinner · CoreWeave | CoreWeave
| Together
|
gpt-oss-120bWinner · CoreWeave | CoreWeave
| Together
|
gpt-oss-20bWinner · CoreWeave | CoreWeave
| Together
|
Llama 3.3 70B InstructWinner · CoreWeave | CoreWeave
| Together
|
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.
CoreWeave vs Together analysis
CoreWeave and Together share 8 indexed text models, including GLM 5.2, Kimi K2.7 Code, DeepSeek V4 Pro, Kimi K2.6, Gemma 4 31B. CoreWeave has the stronger typical response-time result on the directly measured set.
8 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.
8 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.
CoreWeave has 20 indexed models and lists 1 published server region; Together has 22 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.
Related same-model benchmarks
Explore qualified alternatives with the most shared measured models. Recommendations include comparisons for both CoreWeave and Together.