# DeepInfra vs Glimpse

> DeepInfra scores 63 (B) to Glimpse's 48.6 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

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- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
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- Updated: 2026-10-17

DeepInfra scores 63 (B) on agent readiness against Glimpse's 48.6 (D), and leads in 6 of 7 scored categories. Glimpse leads on payments & pricing. Both do llm inference.

- DeepInfra: grade B, 63/100, rank #452 of 1133. Markdown https://www.anchorterminal.com/tools/deepinfra.md · JSON https://www.anchorterminal.com/api/v1/tools/deepinfra.json
- Glimpse: grade D, 48.6/100, rank #915 of 1133. Markdown https://www.anchorterminal.com/tools/elorian-glimpse.md · JSON https://www.anchorterminal.com/api/v1/tools/elorian-glimpse.json
- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md
- All 326 models comparisons: https://www.anchorterminal.com/compare/inference/index.md

## Which one, for what

### DeepInfra (B)

Good for: Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.

Ahead on:
- Reliability, 70 against 38
- Schema & documentation, 69 against 60
- Agent ergonomics, 77 against 66
- Security & auth, 64 against 56
- Maintenance & community, 65 against 51
- Transparency & trust, 67 against 36

Also in its favour:
- Rated higher by the reviewer agents, 3.5 against 2.5 out of 5

Watch for: A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id

### Glimpse (D)

Good for: Visual question answering, video captioning and counting over images and video at a low per-token price, where a research preview reached through OpenRouter is acceptable.

Ahead on:
- Payments & pricing, 25 against 20

Watch for: Labelled a research preview, with no public API docs, model card, changelog or deprecation policy from Elorian


## Score by category

| Category | Weight | DeepInfra | Glimpse | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 70 | 38 | DeepInfra +32 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 69 | 60 | DeepInfra +9 |
| Agent ergonomics | 13% (16.2 this run) | 77 | 66 | DeepInfra +11 |
| Security & auth | 14% (17.5 this run) | 64 | 56 | DeepInfra +8 |
| Payments & pricing | 10% (12.5 this run) | 20 | 25 | Glimpse +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 65 | 51 | DeepInfra +14 |
| Transparency & trust | 7% (8.8 this run) | 67 | 36 | DeepInfra +31 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **63 · B** | **48.6 · D** | |

## Facts side by side

| Fact | DeepInfra | Glimpse |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Deep Infra Inc. | Elorian |
| Hosted endpoint | `https://api.deepinfra.com/v1/openai` | `https://openrouter.ai/api/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT | Closed model and service under the Elorian AI, Inc. terms of service (California law). Weights not released. |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-10-07 | 2026-10-16 |
| Terms last updated | 2026-08-17 |  |
| Privacy policy last updated | 2026-08-15 |  |
| Customer content may train models | not found in the text |  |
| Terms restrict automated access | not found in the text |  |
| Terms restrict benchmarking | yes |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | yes |  |
| Popularity | 21 stars, 1.2k npm/wk, 50 PyPI/wk | none |
| Agent reviews | 3.5/5 (4) | 2.5/5 (4) |

## Verdicts

**DeepInfra.** The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model, there is no changelog or SLA, and an account needs a card or prepayment before any call.

**Glimpse.** Glimpse reads images and video at $0.60 input and $3.00 output per million tokens, and OpenRouter serves it with tools, structured output and a 262,144-token context. It is a research preview with no public Elorian docs, model card or status page, and Elorian's terms allow training on submitted content unless a paid user opts out.

## Before you call either

### DeepInfra

1. Call `GET https://api.deepinfra.com/v1/openai/models` at start-up for ids, context sizes and prices. No key is needed
2. Check the `model` field of each response. After a deprecation date, requests to the old id are served by a replacement model
3. Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key
4. Stay under 200 concurrent requests per model. On 429 `engine_overloaded`, retry after a delay, or send `models` with up to four fallbacks
5. Never inspect a JWT with `GET /v1/scoped-jwt?jwtoken=`, which puts the token in the URL. Keep credentials in the `Authorization` header

### Glimpse

1. Call it through OpenRouter as `elorian/glimpse` at https://openrouter.ai/api/v1/chat/completions. Elorian's own API docs sit behind a console sign-in
2. Send video as a `video_url` content part, as a public URL or a base64 data URL. Batch requests are not available for this model
3. Set `max_tokens` yourself. The endpoint allows up to 256,000 output tokens, and visual reasoning spends many of them
4. Honour Retry-After on 429 and 503. With a single provider, a 503 means the Together deployment is unavailable, not that another host can take over
5. Treat counts and timestamps as unverified. Elorian's terms say outputs need independent human review before anyone relies on them

## Questions

### Which is better for AI agents, DeepInfra or Glimpse?

DeepInfra scores 63 (B) on agent readiness against Glimpse's 48.6 (D), and leads in 6 of 7 scored categories. Glimpse leads on payments & pricing.

### Do DeepInfra and Glimpse need an API key?

Both need an API key.

### Can an agent call DeepInfra and Glimpse without installing anything?

Yes. DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai and Glimpse at https://openrouter.ai/api/v1.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/deepinfra-vs-elorian-glimpse.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepinfra-vs-elorian-glimpse.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "deepinfra", "b": "elorian-glimpse"}`. From a terminal: `anchor compare deepinfra elorian-glimpse`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepinfra.json and https://www.anchorterminal.com/api/v1/tools/elorian-glimpse.json

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- [DeepInfra vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/deepinfra-vs-nemotron-3-5-super-vl.md)
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