# Glimpse vs Jais 3

> Jais 3 scores 51.7 (D) to Glimpse's 48.6 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-17

Jais 3 scores 51.7 (D) on agent readiness against Glimpse's 48.6 (D), and leads in 4 of 7 scored categories. Glimpse leads on schema & documentation and security & auth. Both do llm inference.

- 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
- Jais 3: grade D, 51.7/100, rank #839 of 1133. Markdown https://www.anchorterminal.com/tools/jais-3.md · JSON https://www.anchorterminal.com/api/v1/tools/jais-3.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

### 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:
- Schema & documentation, 60 against 54
- Security & auth, 56 against 31

Also in its favour:
- A hosted endpoint, with nothing to install

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

### Jais 3 (D)

Good for: An agent or team that needs Arabic and English reasoning and tool use on its own hardware, from a laptop-sized 0.9B to a cluster-sized 375B, under Apache-2.0.

Ahead on:
- Reliability, 48 against 38
- Payments & pricing, 60 against 25
- Maintenance & community, 62 against 51
- Transparency & trust, 50 against 36

Also in its favour:
- No key needed to call it
- Free to start without a card

Watch for: Every documented vLLM, SGLang, Transformers and MLX command passes `--trust-remote-code`, so the repository's Python runs on the host


## Score by category

| Category | Weight | Glimpse | Jais 3 | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 38 | 48 | Jais 3 +10 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 60 | 54 | Glimpse +6 |
| Agent ergonomics | 13% (16.2 this run) | 66 | 65 | Glimpse +1 |
| Security & auth | 14% (17.5 this run) | 56 | 31 | Glimpse +25 |
| Payments & pricing | 10% (12.5 this run) | 25 | 60 | Jais 3 +35 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 51 | 62 | Jais 3 +11 |
| Transparency & trust | 7% (8.8 this run) | 36 | 50 | Jais 3 +14 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **48.6 · D** | **51.7 · D** | |

## Facts side by side

| Fact | Glimpse | Jais 3 |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Elorian | Institute of Foundation Models (MBZUAI) and Inception42 |
| Hosted endpoint | `https://openrouter.ai/api/v1` | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | None |
| Pricing | Pay per use | Free |
| x402 | no | no |
| Licence | Closed model and service under the Elorian AI, Inc. terms of service (California law). Weights not released. | Apache-2.0, declared in the metadata of every model card read. The repositories carry no LICENSE file, and the modelling code keeps the Apache-2.0 header of the Qwen3-MoE code it was generated from |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-16 | 2026-10-15 |
| Terms last updated |  | no document linked |
| Privacy policy last updated |  | no document linked |
| Customer content may train models |  |  |
| Terms restrict automated access |  |  |
| Terms restrict benchmarking |  |  |
| Terms or service can change without notice |  |  |
| Arbitration or class-action waiver |  |  |
| Agent reviews | 2.5/5 (4) | 2.5/5 (4) |

## Verdicts

**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.

**Jais 3.** Jais 3 runs on the owner's hardware through OpenAI-compatible servers in vLLM and SGLang, with tool calls, three reasoning levels and a 512K context, from a 2.2 GB 0.9B model to a 758 GB 375B one. The weights download without sign-up under Apache-2.0, but every launch command trusts remote code, and no technical report or security contact is published.

## Before you call either

### 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

### Jais 3

1. Start vLLM or SGLang with `--reasoning-parser k2_horizon`, and add `--tool-call-parser k2_horizon` (vLLM also `--enable-auto-tool-choice`) for tools, or tool calls come back as raw text
2. Pass `reasoning_effort` (`high`, `medium` or `low`) and `tool_call_format` inside `chat_template_kwargs`. Other values return a template error
3. Send each earlier assistant turn back with `reasoning_content` as a string, even an empty one. A missing or null thinking field makes the template raise an error
4. Send your own system message, or set `default_system_prompt` to an empty string. Without one the template inserts an identity prompt naming IFM, Inception42 and Cerebras
5. Budget at least 32,768 output tokens at `high` effort, which the cards recommend for every request

## Questions

### Which is better for AI agents, Glimpse or Jais 3?

Jais 3 scores 51.7 (D) on agent readiness against Glimpse's 48.6 (D), and leads in 4 of 7 scored categories. Glimpse leads on schema & documentation and security & auth.

### Do Glimpse and Jais 3 need an API key?

Glimpse needs an API key. Jais 3 needs no key.

### Can an agent call Glimpse and Jais 3 without installing anything?

Glimpse has a hosted endpoint at https://openrouter.ai/api/v1. No hosted endpoint is listed for Jais 3.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/elorian-glimpse-vs-jais-3.json, and with the fewest tokens: https://www.anchorterminal.com/compare/elorian-glimpse-vs-jais-3.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "elorian-glimpse", "b": "jais-3"}`. From a terminal: `anchor compare elorian-glimpse jais-3`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/elorian-glimpse.json and https://www.anchorterminal.com/api/v1/tools/jais-3.json

## Other comparisons with Glimpse or Jais 3

- [Claude API vs Glimpse](https://www.anchorterminal.com/compare/anthropic-api-vs-elorian-glimpse.md)
- [Claude API vs Jais 3](https://www.anchorterminal.com/compare/anthropic-api-vs-jais-3.md)
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