Runars vs Augure

Canadian too. Graded by its own teacher.

Augure's October battery is real transparency: 230 Canadian-work tasks, published sample sizes and confidence intervals. But the scenarios are Augure's own, and the models Augure recommends — Rosedale One and Ossington 5 — remain unscored by any independent index. Its new Augure Open preview also serves GLM-5.3, the one model on this page third parties have measured — as a limited preview with no SLA. Runars serves the same published models from our own GPUs in Canada, in general availability, billed in CAD.

Credit where due

Credit twice over: Augure published honest October numbers — sample sizes, confidence intervals, and a candid admission that its flagship trails the Claude reference it picked — and the Augure Open preview is candid about its own terms: no SLA, prices may change, limited time. Weights on their own GPUs in Canada is a real commitment. It doesn't change that every recommended score on their page was authored, run and graded by Augure.

Data residency

Zero border crossings.

Augure's new Augure Open preview tightens its story: open models on Augure's own GPUs, weights hosted by Augure, and a call that fails rather than leaves the country. Runars is the same design — our own GPUs in Montreal and Calgary, weights we serve ourselves, logs and prompt cache on Canadian soil. Two Canadian providers, same architecture. The difference isn't geography; it's everything else on this page.

request trace
  1. 1your app🇨🇦 Canada
  2. 2runars.ca/v1🇨🇦 Canada
  3. 3inference🇨🇦 Montreal · Calgary
  4. 4logs + prompt cache🇨🇦 Canada

border crossings: 0

Performance

Scored in public. Or not at all.

On the two benchmarks Augure published that independent labs have also run, their numbers trail ours: Rosedale One posts 83.0 on GPQA Diamond and 86.0 on MMLU-Pro — self-run — while Vals AI measures GLM 5.3 at 88.1 and 86.8, and Kimi K3 at 92.9 and 88.0, on the same named benchmarks (different harnesses; read the gaps as directional). And the instrument matters: GLM 5.3 scores 45 on the Artificial Analysis Intelligence Index, a third party with a published method. Augure's open preview now serves that same published GLM-5.3 — the scores belong to the model, not to anything Augure built — while its own materials point customers to Rosedale One and Ossington 5 for capability: the two models no independent index has scored.

scored · how, and by whom
  • +5.1

    GPQA Diamond

    GLM 5.3
    88.1
    Rosedale One
    83.0
  • +0.8

    MMLU-Pro

    GLM 5.3
    86.8
    Rosedale One
    86.0
  • —

    AA Intelligence Index

    GLM 5.3
    45
    Augure models
    no entry
  • runars scores: vals ai + artificial analysis (independent, published method) · augure scores: october battery (self-run, self-graded)

    Compatibility

    Keep your code. Change one URL.

    Augure's API is OpenAI-compatible — chat completions, embeddings, and their own Augure Code CLI. Runars also speaks the Anthropic Messages API, so Claude Code and Anthropic-SDK agents work by changing one base URL.

    app.py
    client = Anthropic(
      base_url="https://runars.ca",
      api_key=os.environ["RUNARS_API_KEY"],
    )
    
    # OpenAI SDK works too — same key.

    Head to head.

    The short version, row by row. Every Augure claim links to a source at the bottom of the page.

    Canadian inference
    Runars
    Our own GPUs in Montreal & Calgary. Logs and prompt cache stay in Canada.
    Augure
    Own GPUs in Canada; weights hosted by Augure; the call fails rather than leaving the country. Zero-retention inference claimed.
    Independent benchmark score
    Runars
    GLM 5.3: 45 · Kimi K3: 44 on AA Intelligence Index v4.3.2 (reasoning variants).
    Augure
    Augure's recommended models — Rosedale One, Ossington 5 — remain absent from every independent index. The GLM-5.3 in its open preview is scored as a model, but the scores are third-party measurements of the published weights, not of anything Augure built.
    Public scoring methodology
    Runars
    Artificial Analysis publishes its index components and method.
    Augure
    Suite composition, sample sizes and CI method are public; the prompts, per-prompt results and model version pins are not.
    Third-party scores on shared benchmarks
    Runars
    Vals AI, independent: GLM 5.3 — GPQA Diamond 88.1, MMLU-Pro 86.8 · Kimi K3 — 92.9 / 88.0.
    Augure
    Rosedale One: 83.0 / 86.0 — published by Augure, run by Augure.
    Context window
    Runars
    1M tokens on GLM 5.3, GLM 5.3 Flash and Kimi K3.
    Augure
    256K input with a 49,152-token output ceiling on the open line.
    Anthropic Messages API
    Runars
    Native /v1/messages. Point the Anthropic SDK or Claude Code at runars.ca.
    Augure
    Not offered. OpenAI-compatible API only.
    OpenAI-compatible API
    Runars
    /v1/chat/completions and /v1/responses.
    Augure
    /v1/chat/completions. Embeddings mentioned, no paths listed.
    Bring your own coding agent
    Runars
    Claude Code runs against Runars by changing the base URL.
    Augure
    Own CLI (Augure Code). Claude Code isn't supported.
    Production commitment
    Runars
    Generally available. Per-token billing in CAD, no preview clock.
    Augure
    Augure Open is a preview: no SLA, prices may change, limited time, developer API keys only.

    Same models. In CAD.

    Per 1M tokens, input / output. Runars prices are live. Augure prices were listed in CAD on 2026-10-22 — no conversion.

    The first row is the same published GLM-5.3 we serve — their preview price against our live GA price. The second pairs their open preview's Qwen flash against the flash tier we already run. Rows three and four are Augure's own models, priced by Augure, scored by Augure.

    ModelRunars (CAD)Augure (CAD)
    GLM 5.3$2.21 / $6.96$3.00 / $7.00(GLM-5.3 — Augure Open (open-glm-5-3))
    GLM 5.3 Flash$0.17 / $0.58$2.00 / $4.00(Qwen3.8-Flash-Next — Augure Open (open-qwen-3.8-flash-next))
    GLM 5.3$2.21 / $6.96$2.50 / $6.00(Rosedale One)
    GLM 5.3 Flash$0.17 / $0.58$1.50 / $3.00(Ossington 5)

    Switch in one line.

    Point your existing OpenAI or Anthropic SDK at Runars and keep your code. If we're not the right fit next to Augure, we'll tell you.

    base_url = "https://…"
    base_url = "https://runars.ca/v1"

    Two minutes. No sales call.