The Born2 family from Leemer Labs, served from Europe. Start with Born2-9B, our code-review specialist, today. The Irish model and the 35B-A3B review specialist are next.
Each Born2 model has one clear job. They are post-trained from open Qwen foundations on NVIDIA B200 GPUs, using a 50-billion-token dataset Leemer Labs built for the work.
Research preview · Available now
9B
Born2-9B
born2-9b
Code review, coding agents, terminal and tool use
A dense nine-billion-parameter specialist taught by three frontier models, each checking the others. Built to find the real defect and stay quiet when the code is fine.
Architecture
Dense transformer
Context
256K-class
Teachers
MiMo-V2.6 · GLM-5.3 · Qwen3.8-2.4T
Weights
Open release planned
Coming soon
9B
Born2-9B-Gaeilge
born2-9b-gaeilge
Irish language, civic information, bilingual work
Post-trained from Qwen3.5-9B for Gaeilge and Irish civic context. It follows people between Irish and English mid-sentence and keeps the source record within reach.
Foundation
Qwen3.5-9B
Home
DáilDex
Runs
API or self-hosted
Weights
Open release planned
Coming soon
35B-A3B
Born2-35B-A3B-Review
born2-35b-a3b-review
Frontier-level code review at ~3B active
The larger review specialist for Critique.sh. A mixture-of-experts model where about 3 billion of its 35 billion parameters work on each token.
Foundation
Qwen3.6-35B-A3B · MoE
Experts
256 · 8 routed + 1 shared
Home
Critique.sh
Weights
Open release planned
BENCHMARKS · BORN2-9B
More intelligence per parameter.
Preliminary results across repository-level programming, terminal work and tool use. Born2-9B leads every dense open model up to 30B in this set on SWE-bench Verified.
Born2-9B preliminary evaluation
SWE-bench Verified
62.1%
SWE-bench Pro
45.5%
Terminal-Bench 2.1
37.9%
AutomationBench
32.2%
Toolathlon Verified
36.7%
Code Mini
52.3%
Cyber Mini
32.9%
Preliminary results reported by Leemer Labs. Methodology, run counts and configuration will accompany the technical report.
SWE-bench Verified · open models
IBM Granite 4.2 8B8B
47.7%
Liquid AI LFM2.5-24B-A2B24B / 2B active
51.0%
IBM Granite 4.2 30B30B
57.0%
Qwen3.5-9B9B
60.0%
Born2-9B9B dense
62.1%
Qwen3.6-35B-A3B35B / ~3B active
73.4%
External scores are developer-reported and use different harnesses; this is not a controlled ranking. Liquid AI separately reports 66.2% for Qwen3.6-35B-A3B under its OpenCode configuration.
SWE-bench Pro
IBM Granite 4.2 8B
19.1%
Qwen3.5-9B
32.0%
IBM Granite 4.2 30B
33.3%
Born2-9B
45.5%
Terminal-Bench 2.1
IBM Granite 4.2 8B
20.6%
Qwen3.5-9B
27.0%
IBM Granite 4.2 30B
29.2%
Born2-9B
37.9%
PRICING · PER MILLION TOKENS
Priced for every pull request.
Prices are set in euros. Repeated repository context hits the cache at a cent per million tokens, and opting in to training takes 75% off every request.
Born2-9B · per million tokens
Input
€0.08
Cache hit
€0.01
Output
€0.20
With training opt-in
€0.02 input · €0.0025 cache hit · €0.05 output
Free credit
€5 on every approved account, about 62 million input tokens
Euros are the base price. Pounds and dollars are shown at reference rates; you are billed in euros.
Output speed · tokens per second
DeepSeek V4 FlashArtificial Analysis
102.0
Claude Haiku 5.5Artificial Analysis
137.0
Born2-9BEuropean target, 120–150
150.0
Born2-9B shows the top of its 120–150 tok/s European serving target, not an independent measurement. Haiku 5.5 is measured at medium and high effort. OpenAI has not published, and Artificial Analysis does not yet list, an output speed for GPT-6 Luna.
Critique.sh · Inference API15+ open models · in Europe
The leading open models, through one key.
Born2 is served by Critique’s inference API, which also routes and hosts 15+ leading open models: DeepSeek, Kimi, GLM, Qwen, MiniMax, gpt-oss, Gemma, Llama, Nemotron and more, at market prices that are often the best available. The open models are offered by Critique directly, on critique.sh.
Allow training on your prompts and every request costs a quarter of the price. It is off by default and opt-in only, and you can turn it off at any time.
Off unless you choose it
Model providers never store your prompts
Applies from the next request
Open models, their pricing and the training discount are offered by Critique.sh. Inference is managed by Critique.sh, in Europe.
GETTING STARTED
From sign-up to first review.
01
Request access
Tell us what you are building on the API platform. Approved accounts open with €5 of free credit.
02
Get a key
Create a key in the dashboard and point any OpenAI SDK at the base URL.
03
Send a diff
Give Born2-9B a pull request, a failing test or a terminal task, and read the findings.
Born2-35B-A3B-Review builds on Qwen3.6-35B-A3B. These are the upstream checkpoint’s published scores, the floor our review post-training starts from. Born2’s own results will come with their methodology.
Qwen3.6-35B-A3B · upstream, developer-reported
SWE-bench Verified
73.4%
Terminal-Bench 2.0
51.5%
Scores are from Qwen’s model card for the upstream checkpoint, not Born2 results.
Every approved account gets €5 in credit to try Born2-9B on real work. At preview prices that is more than 60 million input tokens on Born2-9B. To top up, email ray@critique.sh.
Where is the API served from?
Europe. Inference is managed by Critique.sh, part of Leemer Group, in Europe.
When will Born2-9B-Gaeilge and Born2-35B-A3B-Review arrive?
Both are in post-training at Leemer Labs. They will join the API when their evaluations are ready to publish, and platform accounts will hear first.
Can I run the models myself?
Open weights are planned for the Born2 models, with a model card and evaluation methods. The API preview comes first.
Born2-9B results, prices and throughput targets are reported by Leemer Labs and are preliminary. External scores are developer-reported and use different harnesses. Prices are set in euros as of October 2026; pounds and dollars are shown at reference rates. Prices may change before general availability. Read the Born2-9B announcement and the first Born2 post for the full story.