Together
19 indexed models
- Headquarters
United States
- Server regions
- N/a
- Model types
- 17 text, 2 transcription
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Same-model provider benchmark
Compare Together and Weights & Biases on 8 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
19 indexed models
19 indexed models
At a glance
There is no overall score. Each winner answers one specific question using only directly comparable data.
Fastest on shared models
1.15× typical advantage
8 exact models with complete recent speed data
Lowest token cost
$1.2104 / 1M
8 exact models using a 1K-input/500-output mix
Most models available
Equal result
19 models each
Complete catalog coverage across all indexed modalities
| Metric | Together | Weights & Biases |
|---|---|---|
| Typical 500-token response | 8.79 s | 6.15 s |
| Typical response start | 0.55 s | 0.51 s |
| Typical output speed | 61.0 tok/s | 97.0 tok/s |
| Blended token price | $1.3625 / 1M | $1.2104 / 1M |
| Typical route uptime | 94.14% | 99.84% |
Visual comparison
Estimated seconds using recent median response-start and output-speed data. Lower is better.
Weights & Biases 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.
Weights & Biases has the lower typical price ratio across 8 priced shared models.
| Model | Together | Weights & Biases |
|---|---|---|
GLM 5.2Winner · Weights & Biases z-ai/glm-5.2 | Together
| Weights & Biases
|
Kimi K2.7 CodeWinner · Weights & Biases moonshotai/kimi-k2.7-code | Together
| Weights & Biases
|
DeepSeek V4 ProWinner · Together deepseek/deepseek-v4-pro | Together
| Weights & Biases
|
Kimi K2.6Winner · Weights & Biases moonshotai/kimi-k2.6 | Together
| Weights & Biases
|
Gemma 4 31BWinner · Weights & Biases google/gemma-4-31b-it | Together
| Weights & Biases
|
gpt-oss-120bWinner · Weights & Biases openai/gpt-oss-120b | Together
| Weights & Biases
|
gpt-oss-20bWinner · Weights & Biases openai/gpt-oss-20b | Together
| Weights & Biases
|
Llama 3.3 70B InstructWinner · Weights & Biases meta-llama/llama-3.3-70b-instruct | Together
| Weights & Biases
|
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.
Together vs Weights & Biases analysis
Together and Weights & Biases share 8 indexed text models, including GLM 5.2, Kimi K2.7 Code, DeepSeek V4 Pro, Kimi K2.6, Gemma 4 31B. Weights & Biases 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.
Together has 19 indexed models and lists no published server regions; Weights & Biases has 19 models and lists 1 region. Verify data residency, privacy terms, limits, and production latency directly before choosing.
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