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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.

Konic Duo-1 — Enterprise production

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

Coding benchmarks: Konic Duo-1 versus Claude Opus 4.7 and open models (DeepSeek V4 Flash (0731), GLM-5.1, Qwen3.6-27B, Qwen3.6-35B-A3B)
BenchmarkKonic Duo-1Claude Opus 4.7DeepSeek V4 Flash (0731)GLM-5.1Qwen3.6-27BQwen3.6-35B-A3B
Terminal-Bench 2.1 (Terminus-2)67.866.156.963.559.351.5
Terminal-Bench 2.1 (Claude Code)68.568.9—69.0——
SWE-bench Verified79.087.679.076.477.273.4
SWE-bench Pro59.664.352.658.453.549.5
SWE-bench Multilingual71.480.573.3—71.367.2
SWE-bench Multimodal—34.5——25.7—
DeepSWE22.054.27.3———
NL2Repo46.2—39.442.736.229.4
SWE Atlas — QnA39.840.3————
Frontier-Bench v0.15.1—————

Reasoning

Reasoning benchmarks: Konic Duo-1 versus Claude Opus 4.7 and open models (DeepSeek V4 Flash (0731), GLM-5.1, Qwen3.6-27B, Qwen3.6-35B-A3B)
BenchmarkKonic Duo-1Claude Opus 4.7DeepSeek V4 Flash (0731)GLM-5.1Qwen3.6-27BQwen3.6-35B-A3B
HLE (no tools)25.646.934.831.024.021.4
HLE (with tools)33.454.745.152.3——
GPQA Diamond89.294.288.186.287.886.0
MMMLU—91.5————

Agentic

Agentic benchmarks: Konic Duo-1 versus Claude Opus 4.7 and open models (DeepSeek V4 Flash (0731), GLM-5.1, Qwen3.6-27B, Qwen3.6-35B-A3B)
BenchmarkKonic Duo-1Claude Opus 4.7DeepSeek V4 Flash (0731)GLM-5.1Qwen3.6-27BQwen3.6-35B-A3B
MCP-Atlas70.277.369.071.8—62.8
Toolathlon-Verified48.759.347.840.7—26.9
WideSearch67.8————60.1
BrowseComp67.679.873.268.0——
ClawEval72.5———72.468.7
OSWorld-Verified—82.8——63.9—
ScreenSpot-Pro — No tools—79.5————
CharXiv Reasoning — No tools—82.1——78.478.0
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—73.138.768.7——

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.