Provider Dossier · Aggregator
DeepInfra
Aggressive per-token pricing on popular open models.
The Datum Index verdict
Recommended with confidence
Ranked No. 14 of 20 in our composite reputation index, and currently holding steady.
≈ 4.1 / 5 aggregate · 305 reviewer notes
Composite index · reviewed 10 July 2026
Findings
- DeepInfra holds a Datum Index composite reputation of 81 / 100 (≈ 4.1 / 5), ranked No. 14 of 20.
- It is a aggregator based in Palo Alto, USA, founded 2022, offering open-weight model access.
- Its flagship offering is Pay-per-token open models, exposed through an OpenAI-compatible API.
- Indicative pricing is $0.35 / 1M tokens in / $0.40 / 1M tokens out (medium confidence).
- Reference throughput is ~13 tok/s with ~2250 ms time-to-first-token; stated uptime is 99.5%.
DeepInfra enters our index at No. 14, a placement that reads as recommended with confidence. The composite rests on 305 reviewer notes gathered across the public record, and it is best understood not as a score out of ten but as a standing among peers. The trend line is flat: reviewer sentiment has held steady over recent quarters.
In its favour
Aggressive per-token pricing on popular open models.
On the numbers that flatter it: open-weight access, 2 named compliance attestations, and a reference throughput of ~13 tokens per second.
Points of concern
Fewer enterprise features than larger platforms.
The caveat a buyer should price in before committing production traffic. As with every entry, we weigh it against the field rather than against perfection.
Incident & Uptime Note
The record of being there
DeepInfra states an availability of 99.5%. Held over a full year, that headline implies on the order of 43.8 hours of cumulative unavailability — a useful sense of scale, though real incidents cluster rather than spread evenly, and a single bad afternoon can outweigh a quiet quarter.
Observatory Panel
Latency & throughput, in distribution
Monthly panels across the models DeepInfra serves medium
Llama 3.3 70B Turbo
| Window | TTFT ms — mean · p50 · p90 | Throughput tok/s — mean · p50 · p90 | ||||
|---|---|---|---|---|---|---|
| May 2026 | ~2660 | ~2330 | ~4440 | ~12 | ~13 | ~15 |
| June 2026 | ~2470 | ~2290 | ~4400 | ~12 | ~13 | ~14 |
| July 2026 | ~2590 | ~2240 | ~3570 | ~13 | ~13 | ~15 |
GLM 5.2 (FP4)
| Window | TTFT ms — mean · p50 · p90 | Throughput tok/s — mean · p50 · p90 | ||||
|---|---|---|---|---|---|---|
| May 2026 | ~1490 | ~1380 | ~2480 | ~55 | ~58 | ~69 |
| June 2026 | ~1600 | ~1390 | ~2760 | ~56 | ~57 | ~61 |
| July 2026 | ~1680 | ~1510 | ~2420 | ~49 | ~53 | ~61 |
DeepSeek V4 Flash
| Window | TTFT ms — mean · p50 · p90 | Throughput tok/s — mean · p50 · p90 | ||||
|---|---|---|---|---|---|---|
| May 2026 | ~1600 | ~1490 | ~2790 | ~71 | ~76 | ~81 |
| June 2026 | ~1740 | ~1540 | ~3050 | ~69 | ~73 | ~78 |
| July 2026 | ~1640 | ~1490 | ~2810 | ~72 | ~75 | ~89 |
All figures are single-stream, per-request rates as one user would see them — never aggregate accelerator throughput. Serving modes are not comparable with one another: shared serverless APIs batch many tenants per accelerator, dedicated and self-served deployments hand one tenant the whole card, and specialist silicon is a regime of its own. Read each figure within its mode.
No field returns on record for DeepInfra yet — the ledger above opens as soon as the first practitioner submission clears verification.
Key Facts
The record, in brief
| Category | Aggregator |
|---|---|
| Headquarters | Palo Alto, USA |
| Founded | 2022 |
| Model access | Open-weight |
| Flagship / reference | Pay-per-token open models · Llama 3.3 70B |
| OpenAI-compatible API | Yes |
| Indicative price (in / out) | $0.35 / 1M tokens / $0.40 / 1M tokens medium |
| Reference throughput | ~13 tok/s |
| Reference TTFT | ~2250 ms |
| Stated uptime | 99.5% |
| Compliance | SOC 2 Type II · GDPR |
| Composite reputation | 81 / 100 · ≈ 4.1 / 5 · 305 notes |
Reviewer Notes
What the field says
The 305 notes behind DeepInfra's standing are drawn from the accumulated public verdict of practitioners — the recurring praises and the recurring gripes — rather than from any single survey. Two themes dominate. Admirers return to one point above all: Aggressive per-token pricing on popular open models. Detractors return to another: Fewer enterprise features than larger platforms.
We publish neither individual reviews nor reviewer identities; the composite is an editorial synthesis, and the reviewer-note count is an order-of-magnitude indication of how much public signal informs it.
Related dossiers · see also
Peer entries in the same or adjacent category, for comparison against DeepInfra's standing.