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 Morph on 5 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.
87 indexed models
7 indexed models
At a glance
There is no overall score. Each winner answers one specific question using only directly comparable data.
| Metric | DeepInfra | Morph |
|---|---|---|
| Typical 500-token response | 24.78 s | 18.68 s |
| Typical response start | 0.75 s | 1.13 s |
| Typical output speed | 21.0 tok/s | 28.0 tok/s |
| Blended token price | $0.824 / 1M | $1.0128 / 1M |
| Typical route uptime | 99.10% | 96.57% |
Visual comparison
Estimated seconds using recent median response-start and output-speed data. Lower is better.
Morph has the lower typical same-model response ratio across 5 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 5 priced shared models.
| Model | DeepInfra | Morph |
|---|---|---|
GLM 5.2Winner · Morph z-ai/glm-5.2 | DeepInfra
| Morph
|
MiniMax M3Winner · DeepInfra minimax/minimax-m3 | DeepInfra
| Morph
|
Qwen3.6 27BWinner · Morph qwen/qwen3.6-27b | DeepInfra
| Morph
|
DeepSeek V4 FlashWinner · DeepInfra deepseek/deepseek-v4-flash | DeepInfra
| Morph
|
MiniMax M2.7Winner · Morph minimax/minimax-m2.7 | DeepInfra
| Morph
|
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 Morph analysis
DeepInfra and Morph share 5 indexed text models, including GLM 5.2, MiniMax M3, Qwen3.6 27B, DeepSeek V4 Flash, MiniMax M2.7. Morph has the stronger typical response-time result on the directly measured set.
5 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.
5 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; Morph has 7 models and lists 1 region. 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 Morph.