gpt-oss-120b on Cerebras
Shares rank 11 of 12 LLM inference APIs by recommenders
People recommend it for very fast responses on Cerebras hardware, which suits agent workflows with many tool calls. The most common caveat is unreliable tool calling.
People recommend it for very fast responses on Cerebras hardware, which suits agent workflows with many tool calls. The most common caveat is unreliable tool calling.
6 people gave an opinion
- recommend it
- 5
- criticize it
- 1
- approval share
- 83%
Recommended in 5 of 13 months
- November 2025: recommended
- December 2025: recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: recommended
- April 2026: not recommended
- May 2026: recommended
- June 2026: not recommended
- July 2026: recommended
- August 2026: not recommended
- September 2026: not recommended
- October 2026: not recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 5 people recommend itNeeds 10 or more, not met.
- 5 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 5 of 13 monthsNeeds 4 or more, 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
Very fast responses
“This is really impressive. At these speeds, it's possible to run agents with multi-tool turns within seconds.”
Comment from 8 Nov 2025 in “GPT-OSS 120B Runs at 3000 tokens/sec on Cerebras” “switch to something like gpt-oss-120B on cerebras and watch it fly. Total cost will be less than $5”
Comment from 28 Jul 2026 in “Using an open model feels surprisingly good” “I'm happy with the performance of this setup!”
Comment from 5 Mar 2026 in “Nvidia PersonaPlex 7B on Apple Silicon: Full-Duplex Speech-to-Speech in Swift”
What people warn about
Each mark is one comment
Unreliable tool calling
“gpt-oss-120b is absolutely unusable over Cerebras because it fails to call tools half the time”
Comment from 19 Aug 2026 in “Cerebras CS4” “It is broken, screws up tool calls most of the time”
Comment from 24 Sep 2026 in “Mercury 2.5 LLM hits 770 tokens per second”
Other LLM inference APIs people recommend
The four most recommended other LLM inference APIs, with 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.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Cerebras Inference | 109 | 51 | 68% | 13 | — | Approved |
| Groq API | 58 | 23 | 72% | 12 | — | Approved |
| Tinfoil | 21 | 10 | 68% | 10 | — | Approved |
| Darkbloom | 19 | 39 | 33% | 1 | — | — |
| gpt-oss-120b on CerebrasThis page | 5 | 1 | 83% | 5 | — | — |
What people said
All 8 comments that mention it, newest first. Each links to the original comment.
“it would get stuck in a thinking block and then start endlessly saying things like”
“It is broken, screws up tool calls most of the time”
“gpt-oss-120b is absolutely unusable over Cerebras because it fails to call tools half the time”
“switch to something like gpt-oss-120B on cerebras and watch it fly. Total cost will be less than $5”
“He primarily uses gpt 120b on cerebras and glm-5.1 for heavy thinking work.”
“I'm happy with the performance of this setup!”
“could be a good fit with careful prompting”
“This is really impressive. At these speeds, it's possible to run agents with multi-tool turns within seconds.”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.