DeepInfra
87 indexed models
- Headquarters
United States
- Server regions
- N/a
- Model types
- 67 text, 15 embeddings, 5 speech
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Same-model provider benchmark
Compare DeepInfra and SambaNova on 6 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
87 indexed models
6 indexed models
At a glance
There is no overall score. Each winner answers one specific question using only directly comparable data.
| Metric | DeepInfra | SambaNova |
|---|---|---|
| Typical 500-token response | 27.08 s | 9.41 s |
| Typical response start | 0.74 s | 2.35 s |
| Typical output speed | 19.5 tok/s | 78.0 tok/s |
| Blended token price | $0.2902 / 1M | $1.2133 / 1M |
| Typical route uptime | 98.77% | 96.92% |
Visual comparison
Estimated seconds using recent median response-start and output-speed data. Lower is better.
SambaNova has the lower typical same-model response ratio across 6 measured models.
USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.
DeepInfra has the lower typical price ratio across 6 priced shared models.
| Model | DeepInfra | SambaNova |
|---|---|---|
Gemma 4 31BWinner · DeepInfra google/gemma-4-31b-it | DeepInfra
| SambaNova
|
MiniMax M2.7Winner · DeepInfra minimax/minimax-m2.7 | DeepInfra
| SambaNova
|
DeepSeek V3.2Winner · DeepInfra deepseek/deepseek-v3.2 | DeepInfra
| SambaNova
|
DeepSeek V3.1Winner · SambaNova deepseek/deepseek-chat-v3.1 | DeepInfra
| SambaNova
|
gpt-oss-120bWinner · DeepInfra openai/gpt-oss-120b | DeepInfra
| SambaNova
|
Llama 3.3 70B InstructWinner · SambaNova meta-llama/llama-3.3-70b-instruct | DeepInfra
| SambaNova
|
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.
DeepInfra vs SambaNova analysis
DeepInfra and SambaNova share 6 indexed text models, including Gemma 4 31B, MiniMax M2.7, DeepSeek V3.2, DeepSeek V3.1, gpt-oss-120b. SambaNova has the stronger typical response-time result on the directly measured set.
6 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.
6 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.
DeepInfra has 87 indexed models and lists no published server regions; SambaNova has 6 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.
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