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Orthrus-Qwen3

Speculative decoder in AI tools

Speeds up Qwen3 text generation, with benchmarks people find promising and a claimed identical output distribution. Gains are small if prompt processing is already slow.

Speeds up Qwen3 text generation, with benchmarks people find promising and a claimed identical output distribution. Gains are small if prompt processing is already slow.

5 people gave an opinion

recommend it
5
criticize it
0
approval share
100%
Each figure is one person. RecommendsCriticizes

Recommended in 1 of 13 months

  1. November 2025: not recommended
  2. December 2025: not recommended
  3. January 2026: not recommended
  4. February 2026: not recommended
  5. March 2026: not recommended
  6. April 2026: not recommended
  7. May 2026: recommended
  8. June 2026: not recommended
  9. July 2026: not recommended
  10. August 2026: not recommended
  11. September 2026: not recommended
  12. October 2026: not recommended
  13. November 2026: not recommended (month in progress)

Why it doesn’t carry the badge

  • 5 people recommend itNeeds 10 or more, not met.
  • Nobody criticizes itNeeds 2 to 1 or better, met.
  • Recommended in 1 of 13 monthsNeeds 4 or more, not met.

The same three rules apply to every product, and the badge can’t be bought. How the badge works

What people say about it

The reasons people give, with the number of comments that give each one. Open a reason to read what they said.

Why people recommend it

Each mark is one comment

  • Promising benchmark results

    “I've benchmarked Orthrus some more and got some quite promising results”

    Comment from 16 May 2026 in “Orthrus-Qwen3: up to 7.8×tokens/forward on Qwen3, identical output distribution”

    “Fantastic results. Well done.”

    Comment from 16 May 2026 in “Orthrus-Qwen3: up to 7.8×tokens/forward on Qwen3, identical output distribution”

What people warn about

Each mark is one comment

  • Small gain if prompt processing is slow

    “The main catch is that if your prompt processing speed is already bad, it will not help you all that much.”

    Comment from 16 May 2026 in “Orthrus-Qwen3: up to 7.8×tokens/forward on Qwen3, identical output distribution”
  • Identical-output claim questioned

    “The whole "provably identical distribution" thing is doing a lot of work in my head”

    Comment from 16 May 2026 in “Orthrus-Qwen3: up to 7.8×tokens/forward on Qwen3, identical output distribution”
  • Can grind to a crawl

    “makes it grind to a crawl”

    Comment from 16 May 2026 in “Orthrus-Qwen3: up to 7.8×tokens/forward on Qwen3, identical output distribution”

What people recommend instead

The same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.

Orthrus-Qwen3 compared with 1 alternative
ProductRecommendCriticizeApprovalMonthsOwnedBadge
DFlash12860%6——
Orthrus-Qwen3This page50100%1——

What people said

6 of the 7 comments that mention it, newest first. Each links to the original comment.

“I've benchmarked Orthrus some more and got some quite promising results”

RecommendsComment from 16 May 2026 in “Orthrus-Qwen3: up to 7.8×tokens/forward on Qwen3, identical output distribution”

“The whole "provably identical distribution" thing is doing a lot of work in my head”

MixedComment from 16 May 2026 in “Orthrus-Qwen3: up to 7.8×tokens/forward on Qwen3, identical output distribution”

“is a lot more memory efficient during actual inference”

RecommendsComment from 16 May 2026 in “Orthrus-Qwen3: up to 7.8×tokens/forward on Qwen3, identical output distribution”

“makes it grind to a crawl”

MixedComment from 16 May 2026 in “Orthrus-Qwen3: up to 7.8×tokens/forward on Qwen3, identical output distribution”

“Fantastic results. Well done.”

RecommendsComment from 16 May 2026 in “Orthrus-Qwen3: up to 7.8×tokens/forward on Qwen3, identical output distribution”

“The main catch is that if your prompt processing speed is already bad, it will not help you all that much.”

MixedComment from 16 May 2026 in “Orthrus-Qwen3: up to 7.8×tokens/forward on Qwen3, identical output distribution”

Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.