DeepInfra vs Novita AI
Agent-native side-by-side. Scores are curated estimates on a 0–10 scale. Lock-in: higher = worse. Prefer JTBD picks via /api/decide when choosing for a job.
| Dimension | DeepInfra | Novita AI |
|---|---|---|
| Overall | 8.0 | 7.4 |
| Capability fit | 8.0 | 7.2 |
| Price / performance | 9.4 | 9.0 |
| Latency / reliability | 7.5 | 7.0 |
| Developer & agent DX | 8.5 | 7.8 |
| Privacy / data retention | 6.5 | 7.0 |
| Lock-in risk (higher = worse) | 3.0 | 3.5 |
| Maturity / track record | 7.2 | 6.2 |
| Pricing | As of 2026-09-14: Broad OpenAI-compatible catalog with model-specific token rates (e.g. Llama-3.3-70B Turbo $0.10/$0.32 per 1M in/out; DeepSeek-V4-Flash input $0.09, cached input $0.018 and output $0.18 per 1M (deepinfra… | As of 2026-09-14 (novita.ai/model-api/pricing official): Full public token matrix — e.g. GPT-OSS-120B $0.05/$0.25 per 1M; DeepSeek V3.2 $0.269/$0.40; Llama 3.3 70B $0.135/$0.40; Qwen3 Coder 30B $0.07/$0.27; batch inferen… |
| Tagline | Budget open-model workhorse and one of the cheapest large-catalog hosts. Great for evals and high-volume… | Budget open-model host with a pinned official matrix — strong DeepInfra/SiliconFlow peer. Prefer… |
DeepInfra
Budget open-model workhorse and one of the cheapest large-catalog hosts. Great for evals and high-volume non-critical traffic; dual-run critical paths on Fireworks/Together. Strengths: Aggressive pricing; OpenAI-compat DX; Wide OSS model coverage.
Strengths
- Aggressive pricing
- OpenAI-compat DX
- Wide OSS model coverage
Weaknesses
- Reliability/support less proven than Fireworks/Together at scale
- Fewer enterprise compliance bells
- Brand trust lower for regulated workloads
Novita AI
Budget open-model host with a pinned official matrix — strong DeepInfra/SiliconFlow peer. Prefer Fireworks/Together when you need tighter SLAs or LoRA serving; Novita when sticker $/1M wins. Strengths: Aggressive open-model pricing; OpenAI-compatible API; Multi-modal catalog.
Strengths
- Aggressive open-model pricing
- OpenAI-compatible API
- Multi-modal catalog
Weaknesses
- Less production brand gravity than Fireworks/Together
- Capacity/quality variance by model
- Newer ecosystem
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