Inkling vs K2 Horizon 375B A23B
Empirical evaluation across autonomous coding benchmarks (SWE-bench Verified, LiveCodeBench), token economics, and multi-agent topology in Swarm.
For autonomous agentic coding where multi-file patch pass rate is paramount, K2 Horizon 375B A23B holds the verified advantage (-5.3% difference). Inkling is 2.67x cheaper on input tokens ($0.15/M vs $0.4/M). In Swarm multi-agent clusters, Both models sit in Tier 2 (Tier 2: Code Search & Discovery Specialist). Excellent peer redundancy or parallel Coder swarm execution.
Inkling
Finder SubagentK2 Horizon 375B A23B
Coder SubagentStandardized Coding & Reasoning Benchmarks
Verified, contamination-free benchmark scores with direct mathematical deltas.
| Benchmark Metric | Inkling | K2 Horizon 375B A23B | Performance Delta |
|---|---|---|---|
| SWE-bench VerifiedReal-world GitHub issues resolved autonomously | 54.5% | 59.8% | K2 Horizon 375B A23B (-5.3% difference) |
| LiveCodeBenchPost-training cutoff algorithmic challenges | 47% | 52% | K2 Horizon 375B A23B (-5% difference) |
| LMSYS Coding EloCrowdsourced blind developer preference | 1305 | 1330 | K2 Horizon 375B A23B (-25Elo difference) |
| AIME (Competition Math)Deep multi-step deductive reasoning | — | — | Not published for both models |
Token Economics & Operational Cost Ratio
Pricing per 1M tokens and prompt caching advantages for long-horizon sessions.
Inkling is 2.67x cheaper on input tokens ($0.15/M vs $0.4/M).
Output generation costs differ by 2.67x.
Prompt caching significantly reduces long-horizon AST parsing costs during multi-turn Swarm pairing sessions.
Swarm Multi-Agent Topology Synergy
How Swarm orchestrates Inkling and K2 Horizon 375B A23B in autonomous engineering clusters.
Inkling
Recommended: Finder Subagent
Rapidly maps file paths and dependency graphs for the lead planner.
K2 Horizon 375B A23B
Recommended: Coder Subagent
Executes isolated modular coding tasks inside worktrees.
When to Choose Which Model
Practical developer recommendations based on real-world engineering workloads.
Choose Inkling if:
- ✓Fast 95 TPS generation at low cost ($0.15/task)
- ✓Efficient grep and file discovery summaries
- ✓Clean concise answers without unnecessary prose
- ✓Need Finder Subagent specialization inside Swarm.
Choose K2 Horizon 375B A23B if:
- ✓Solid 31 Intelligence Index with sparse compute efficiency
- ✓Reliable multi-turn instructions and structured YAML/JSON outputs
- ✓Affordable $0.40 cost per task
- ✓Need Coder Subagent specialization inside Swarm.
Frequently Asked Comparison Questions
Which model is better for autonomous software engineering: Inkling or K2 Horizon 375B A23B?
For autonomous agentic coding where multi-file patch pass rate is paramount, K2 Horizon 375B A23B holds the verified advantage (-5.3% difference). Inkling is 2.67x cheaper on input tokens ($0.15/M vs $0.4/M). In Swarm multi-agent clusters, Both models sit in Tier 2 (Tier 2: Code Search & Discovery Specialist). Excellent peer redundancy or parallel Coder swarm execution. On SWE-bench Verified, Inkling scores 54.5% vs K2 Horizon 375B A23B at 59.8%.
How do Inkling and K2 Horizon 375B A23B compare on token pricing and operational economics?
Inkling is 2.67x cheaper on input tokens ($0.15/M vs $0.4/M). On cached prompts, Inkling costs $0.03/M vs K2 Horizon 375B A23B at $0.08/M.
How does Swarm configure Inkling and K2 Horizon 375B A23B in multi-agent workflows?
Both models sit in Tier 2 (Tier 2: Code Search & Discovery Specialist). Excellent peer redundancy or parallel Coder swarm execution. Swarm isolates code modifications in independent Git worktrees, allowing both models to operate in parallel without colliding working directories or git branch conflicts.