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Konic Duo-1
Konic Duo-1 is the enterprise production family: balanced capability for enterprise AI workloads, delivered under an annual licence on on-prem infrastructure you own — no per-token cost, no data egress.

Why Duo-1
01
Benchmark parity within single digits.
Across coding, reasoning, and agentic evaluations, Duo-1 holds the accuracy bar enterprise AI workloads set — measured head-to-head against your incumbent, not claimed in a chart.
02
Predictable enterprise economics.
A flat annual enterprise licence instead of a metered API: cost stops scaling with usage, and token bills stop compounding at production volume. Scoped per engagement — request access for commercial terms.
03
Sized for the task, not the benchmark
Compute and memory are engineered for your workload profile — pruning, distillation, and compression targeting real on-prem hardware instead of a one-size frontier model.
Deployment
Runs on infrastructure you own — versioned, auditable, and inside your compliance boundary.
On-premise or private VPC.
Deploys inside your environment — your keys, your data plane, your compliance boundary.
Versioned releases.
Families ship as versions; your integration does not change between them.
Performance
Konic Duo-1 benchmark comparison
Benchmark scores across coding, reasoning, and agentic evaluations. Published numbers ship with the evaluation harness so every result is reproducible.
Coding
| Benchmark | Konic Duo-1 | Claude Opus 4.7 | DeepSeek V4 Flash (0731) | GLM-5.1 | Qwen3.6-27B | Qwen3.6-35B-A3B |
|---|---|---|---|---|---|---|
| Terminal-Bench 2.1 (Terminus-2) | 67.8 | 66.1 | 56.9 | 63.5 | 59.3 | 51.5 |
| Terminal-Bench 2.1 (Claude Code) | 68.5 | 68.9 | — | 69.0 | — | — |
| SWE-bench Verified | 79.0 | 87.6 | 79.0 | 76.4 | 77.2 | 73.4 |
| SWE-bench Pro | 59.6 | 64.3 | 52.6 | 58.4 | 53.5 | 49.5 |
| SWE-bench Multilingual | 71.4 | 80.5 | 73.3 | — | 71.3 | 67.2 |
| SWE-bench Multimodal | — | 34.5 | — | — | 25.7 | — |
| DeepSWE | 22.0 | 54.2 | 7.3 | — | — | — |
| NL2Repo | 46.2 | — | 39.4 | 42.7 | 36.2 | 29.4 |
| SWE Atlas — QnA | 39.8 | 40.3 | — | — | — | — |
| Frontier-Bench v0.1 | 5.1 | — | — | — | — | — |
Reasoning
| Benchmark | Konic Duo-1 | Claude Opus 4.7 | DeepSeek V4 Flash (0731) | GLM-5.1 | Qwen3.6-27B | Qwen3.6-35B-A3B |
|---|---|---|---|---|---|---|
| HLE (no tools) | 25.6 | 46.9 | 34.8 | 31.0 | 24.0 | 21.4 |
| HLE (with tools) | 33.4 | 54.7 | 45.1 | 52.3 | — | — |
| GPQA Diamond | 89.2 | 94.2 | 88.1 | 86.2 | 87.8 | 86.0 |
| MMMLU | — | 91.5 | — | — | — | — |
Agentic
| Benchmark | Konic Duo-1 | Claude Opus 4.7 | DeepSeek V4 Flash (0731) | GLM-5.1 | Qwen3.6-27B | Qwen3.6-35B-A3B |
|---|---|---|---|---|---|---|
| MCP-Atlas | 70.2 | 77.3 | 69.0 | 71.8 | — | 62.8 |
| Toolathlon-Verified | 48.7 | 59.3 | 47.8 | 40.7 | — | 26.9 |
| WideSearch | 67.8 | — | — | — | — | 60.1 |
| BrowseComp | 67.6 | 79.8 | 73.2 | 68.0 | — | — |
| ClawEval | 72.5 | — | — | — | 72.4 | 68.7 |
| OSWorld-Verified | — | 82.8 | — | — | 63.9 | — |
| ScreenSpot-Pro — No tools | — | 79.5 | — | — | — | — |
| CharXiv Reasoning — No tools | — | 82.1 | — | — | 78.4 | 78.0 |
| CharXiv Reasoning — With tools | — | 91.0 | — | — | — | — |
| ChartQAPro — No tools | — | 67.6 | — | — | — | — |
| ChartQAPro — With tools | — | 69.8 | — | — | — | — |
| Finance Agent v1.1 | — | 64.4 | — | 57.7 | — | — |
| CyberGym | — | 73.1 | 38.7 | 68.7 | — | — |
Konic Duo-1 scores come from our published evaluation harness; Claude Opus 4.7 figures are as reported by Anthropic. Open-model scores use each vendor’s official benchmark harness — we exclude results from a vendor’s own private harness and keep the lower figure when published reports conflict. Where a vendor does not publish a figure, independent evaluations and the benchmark owner’s leaderboard are used. DeepSeek V4 Flash figures are from its April 2026 preview build, and Terminal-Bench 2.0 cells predate the 2.1 row. A dash means we found no comparable published number.
Duo-1 FAQ
Common questions.
Konic Duo-1 is the enterprise production family: balanced capability for enterprise AI workloads, delivered under an annual licence on on-prem infrastructure you own — no per-token cost, no data egress.
Annual enterprise licence, deployed on-prem on machines you own. Commercial terms are scoped per engagement — request access for details.
Yes. Konic enterprise families are engineered for on-prem deployment on infrastructure you control — on-premise, private cloud VPC, edge, or air-gapped environments. Versioned releases keep your integration stable across upgrades.
Choose one enterprise AI flow already running in production, deploy the family inside your environment, and A/B test it against the model you use today — or against your success criteria if there is no incumbent. Decide on measured results, not claims.