Kopro AI
Kopro AI
Engineered for high-speed neural execution, real-time web grounding, continuous ambient voice, and external tool execution.
Our new flagship. A mixture-of-experts coding and agent model with native tool calling, fluent in English and Russian.
Read the announcement →A fast bilingual everyday assistant. Answers right away, with no thinking delay, in English and Russian.
Read the announcement →Newest generation on the Llama 3.2 architecture. Natural conversation, reasoning and code in a compact 2.0 GB footprint. English only; for Russian, use 2.0.
Read the announcement →Smartest 2B • Advanced Math. Ultra-specialized Qwen 2 Math architecture for deep mathematical proofs, algebraic calculus, and symbolic reasoning.
Next-gen Qwen 2.5 Instruct. Complex reasoning, strict code formatting, and high-precision structured data extraction.
Sub-second reflex model engineered for instant chat loops, continuous ambient speech synthesis, and 24+ tok/s throughput.
| Evaluations | Kopro 4.0 Pro 30.5B MoE · New | Kopro 4.0 Flash 14.8B · New | Kopro 3.0 3.2B | Kopro 2.0 Pro 2.0B · Ultra Math | Kopro 2.0 3.0B · 2.2 GB | Kopro Flash 1.2B · 807 MB |
|---|---|---|---|---|---|---|
|
DeepSWE v1.1
Long-horizon software engineering & multi-file repo bug fixing
|
81.8% | 72.7% | 72.7% | 90.9% | 100.0% | 81.8% |
|
GDPVal-AA v2
Elo
Professional knowledge work & executive strategic synthesis
|
100.0% | 100.0% | 81.8% | 1732 | 1732 | 1673 |
|
Vals Finance Agent v2
Financial analyst tasks & multi-step balance sheet calculations
|
100.0% | 100.0% | 45.5% | 63.6% | 27.3% | |
|
Harvey's Legal Agent Benchmark
All pass rate
Complex legal workflows & indemnification liability analysis
|
100.0% | 90.9% | 54.5% | 63.6% | 81.8% | 72.7% |
|
Terminal-bench 2.1
Agentic terminal coding & bash command pipeline generation
|
100.0% | 100.0% | 90.9% | 90.9% | 72.7% | |
|
Terminal-bench 4.0
General agent capabilities & multi-step system crash recovery
|
100.0% | 100.0% | 72.7% | 45.5% | 100.0% | 81.8% |
|
GDP.PDF
All pass rate
Expert PDF document & technical specification comprehension
|
100.0% | 100.0% | 54.5% | 54.5% | 54.5% | |
|
CharXiv Reasoning
No tools
Information synthesis & quantitative trend extraction from charts
|
100.0% | 100.0% | 0.0% | 72.7% | 72.7% | |
|
LVBench
Long sequence timeline reasoning & video event sequence QA
|
72.7% | 100.0% | 72.7% | 54.5% | 81.8% | 63.6% |
|
HLE-Verified
Humanity's Last Exam multidisciplinary PhD-level STEM reasoning
|
100.0% | 90.9% | 0.0% | 72.7% | 72.7% | |
|
OSWorld-2.0
Partial score
Agentic computer use & automated desktop GUI workflow planning
|
100.0% | 100.0% | 0.0% | 9.1% | 27.3% | |
|
BioMysteryBench (Solvable)
Bioinformatics workflows, genetics & peptide sequence translation
|
90.9% | 81.8% | 72.7% | 100.0% | 100.0% | 90.9% |
|
BioMysteryBench (Difficult)
CRISPR protospacer motifs, DNA repair mechanisms & mutation forensics
|
90.9% | 90.9% | 0.0% | 0.0% | 27.3% | |
|
LABBench2
Wet-lab biology research tasks, molarity math & buffer protocols
|
100.0% | 90.9% | 0.0% | 0.0% | 81.8% |
Kopro 4.0 Pro and Kopro 4.0 Flash answered each set of 11 questions in one request on a 24 GB GPU. Kopro 3.0 scores come from our in-house suite of 11 auto-graded text questions per evaluation (temperature 0). For GDPVal-AA v2 it shows the pass rate, not an Elo rating.
Add Kopro AI directly to your iOS or Android home screen without an app store. Launches straight into full-screen chat with hands-free ambient voice physics, sub-clause streaming, and offline app caching.
Phonetic wake-word activation with acoustic harmonic chime, real-time multi-band ocean soundwave physics, and sub-clause streaming text-to-speech.
Live DuckDuckGo information synthesis with embedded source citations, webpage DOM text extraction, and automatic image retrieval.
Persistent floating Spotify controllers, verified Open-Meteo multi-day forecast cards, and live authenticated GitHub repository auditing.
Cloudflare Edge worker OCR, architectural UI diagram breakdown, and multi-file code ingestion across Python, Rust, Go, SQL, and CSV datasets.
Drop Kopro AI directly into your existing production stack by pointing the standard base_url in the official OpenAI SDK.
from openai import OpenAI
client = OpenAI(
api_key="kp_live_your_secret_key",
base_url="https://api.kopro.mom/v1"
)
response = client.chat.completions.create(
model="kopro-2.0",
messages=[
{"role": "system", "content": "You are a senior distributed systems architect."},
{"role": "user", "content": "Design an in-memory ring buffer with zero allocations in Go."}
],
temperature=0.7
)
print(response.choices[0].message.content)