DeepInfra
87 indexed models
- Headquarters
United States- Server regions
- N/a
- Model types
- 67 text, 15 embeddings, 5 speech
Same-model provider benchmark
DeepInfra vs io.net: LLM provider comparison
Compare DeepInfra and io.net on 3 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
io.net
3 indexed models
- Headquarters
- United States
- Server regions
- N/a
- Model types
- 3 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 | DeepInfra | io.net |
|---|---|---|
| Typical 500-token response | 27.04 s | 34.11 s |
| Typical response start | 0.73 s | 1.79 s |
| Typical output speed | 19.0 tok/s | 15.0 tok/s |
| Blended token price | $1.0067 / 1M | $1.2455 / 1M |
| Typical route uptime | 99.50% | 99.47% |
Visual comparison
Price and performance charts
DeepInfraEstimated seconds using recent median response-start and output-speed data. Lower is better.
DeepInfra 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.
DeepInfra has the lower typical price ratio across 3 priced shared models.
| Model | DeepInfra | io.net |
|---|---|---|
 GLM 5.2Winner · io.net z-ai/glm-5.2 | DeepInfra
| io.net
|
 Qwen3.6 27BWinner · io.net qwen/qwen3.6-27b | DeepInfra
| io.net
|
 DeepSeek V4 FlashWinner · DeepInfra deepseek/deepseek-v4-flash | DeepInfra
| io.net
|
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 io.net analysis
How DeepInfra and io.net compare for AI inference
DeepInfra and io.net share 3 indexed text models, including GLM 5.2, Qwen3.6 27B, DeepSeek V4 Flash. DeepInfra 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
DeepInfra has 87 indexed models and lists no published server regions; io.net has 3 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 DeepInfra and io.net.
