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 Nebius on 8 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
87 indexed models
13 indexed models
At a glance
There is no overall score. Each winner answers one specific question using only directly comparable data.
| Metric | DeepInfra | Nebius |
|---|---|---|
| Typical 500-token response | 22.76 s | 17.17 s |
| Typical response start | 0.57 s | 0.66 s |
| Typical output speed | 24.0 tok/s | 31.5 tok/s |
| Blended token price | $0.3635 / 1M | $0.5258 / 1M |
| Typical route uptime | 99.00% | 97.63% |
Visual comparison
Estimated seconds using recent median response-start and output-speed data. Lower is better.
Nebius 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.
DeepInfra has the lower typical price ratio across 8 priced shared models.
| Model | DeepInfra | Nebius |
|---|---|---|
GLM 5.1Winner · DeepInfra z-ai/glm-5.1 | DeepInfra
| Nebius
|
Nemotron 3 SuperWinner · Nebius nvidia/nemotron-3-super-120b-a12b | DeepInfra
| Nebius
|
Nemotron 3 Nano 30B A3BWinner · DeepInfra nvidia/nemotron-3-nano-30b-a3b | DeepInfra
| Nebius
|
gpt-oss-120bWinner · DeepInfra openai/gpt-oss-120b | DeepInfra
| Nebius
|
Qwen3 235B A22B Instruct 2507Winner · Nebius qwen/qwen3-235b-a22b-2507 | DeepInfra
| Nebius
|
Qwen3 32BWinner · DeepInfra qwen/qwen3-32b | DeepInfra
| Nebius
|
Gemma 3 27BWinner · DeepInfra google/gemma-3-27b-it | DeepInfra
| Nebius
|
Llama 3.3 70B InstructWinner · Nebius meta-llama/llama-3.3-70b-instruct | DeepInfra
| Nebius
|
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 Nebius analysis
DeepInfra and Nebius share 8 indexed text models, including GLM 5.1, Nemotron 3 Super, Nemotron 3 Nano 30B A3B, gpt-oss-120b, Qwen3 235B A22B Instruct 2507. Nebius 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.
DeepInfra has 87 indexed models and lists no published server regions; Nebius has 13 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 DeepInfra and Nebius.