What are the verified coding and reasoning benchmarks for Kimi K3?

Kimi K3 achieves SWE-bench Verified: 70.2% (Thinking), LiveCodeBench: 62%. Verified sources: Artificial Analysis Intelligence Index v4.3.2 (Artificial Analysis), Moonshot Kimi K3 Long-Context System Card (Moonshot AI).

How does Kimi K3 compare to rival frontier coding models on SWE-bench and pricing?

Kimi K3 achieves SWE-bench Verified: 70.2% at $1/$5 per 1M tokens. Direct peer comparison: xAI Grok 4.6 (70.8% SWE-bench, $2/$10); Step 5 Preview (69.5% SWE-bench, $1/$5); Qwen 3.8 Max (0902) (72.8% SWE-bench, $0.8/$4); xAI Grok 4.7 (73.6% SWE-bench, $3/$15).

How do I run Kimi K3 with Swarm?

Configure Kimi K3 via CLI using: swarm ctl model set --provider fireworks --model fireworks/kimi-k3, or switch models interactively inside the terminal TUI with /models.

Does Swarm isolate Kimi K3 code edits from other agents?

Yes. Swarm provisions isolated Git worktrees for every session and subagent, preventing file race conditions and keeping your main working tree clean until verification passes.

Can Kimi K3 be assigned to specific subagent roles?

Yes. In ~/.swarm/config.json, you can configure Kimi K3 as Primary/Planner (DAG task decomposition), Coder (implementation in isolated worktrees), or Finder (read-only symbol search).

Fireworks AI model

Kimi K3

Q: What is the recommended Swarm multi-agent topology for Kimi K3?

Swarm recommends Kimi K3 as Primary / Planner (Tier 1: Long-Context Architect). Ingests large dependency graphs to construct accurate Task Program DAG stages. Best paired with: gemini-3-8-flash or deepseek-v4p1-flash.

Kimi K3 is Kimi’s most capable flagship model to date, with 2.8 trillion parameters. It is built on Kimi Delta Attention (KDA), with native visual understanding and a 1M-token context window. It is the world’s first open-source model in the 3-trillion-parameter class, with comparable performance to leading close-source models. It is available on both Fast and Priority serverless tiers, as well as with US-only serverless endpoints for workloads in regulated industries. All Fireworks inference comes with zero data retention enabled by default. → Use Priority for max reliability during congestion; priced at +25% from standard rates. → Use Fast for max speed or latency-sensitive workloads; priced at +50% from standard. To use Fast, switch model ID to the Fast variant: accounts/fireworks/routers/kimi-k3-fast → Use the US-only endpoint for necessary workloads; priced at +10% from standard rates. To do so, switch to model ID: accounts/fireworks/routers/kimi-k3-us

Provider: Fireworks AI
Availability: Available
Model ID: kimi-k3
Snapshot: 2026-10-07

Kimi K3 Benchmarks & Agentic Accuracy

Verified primary research & developer preference metrics

Primary Sources Verified

SWE-bench Verified

70.2%

ThinkingMoonshot AI Lab ↗

LiveCodeBench

62%

ThinkingLiveCodeBench ↗

LMSYS Coding Elo

1390Elo

Coding ArenaLMSYS Arena ↗

Pricing ($ / 1M tokens)

$1/ $5

$0.15 cached readStandard API Pricing

What This Means in Real Software Development

Achieves 44 (max) on the Artificial Analysis Intelligence Index v4.3.2.
Scores 47 on the Finance & Accounting Index, demonstrating strong structured reasoning.
Combines 58 TPS inference with a competitive $1.20 weighted cost per Intelligence task.
Native 2M token context window allows ingesting entire application codebases in one session.

Swarm Multi-Agent Topology

Tier 1: Long-Context ArchitectRole: Primary / Planner

Best Paired With: gemini-3-8-flash or deepseek-v4p1-flash

Ingests large dependency graphs to construct accurate Task Program DAG stages.

Git Worktree Isolation Advantage:

Plans holistic multi-subsystem changes across distinct worktrees.

What Developers & Practitioners Are Saying

Real-world field observations, production strengths, and developer consensus

Field Consensus

"Moonshot's premier coding model. The combination of 2M context and 44 Intelligence Index makes it exceptional for global codebase refactoring."

Verified Real-World Strengths

Intelligence Index 44 with outstanding 47 Finance & Accounting score
Large 2M token context window for full-repo architectural planning
Cost-efficient $1.20 cost per task with high code synthesis precision

Production Caveats & Gaps

Thinking latency can delay time-to-first-token in interactive CLI sessions
Throughput (58 TPS) is moderate compared to dedicated flash models

Primary Sources & Methodology Citations

Artificial Analysis Intelligence Index v4.3.2 — Artificial Analysis (September 2026)
Moonshot Kimi K3 Long-Context System Card — Moonshot AI (June 2026)

Head-to-Head Frontier Comparisons: Kimi K3 vs Rivals

Standardized, side-by-side benchmark & economics comparison against peer models

Flagship Comparative Matrix

Model	Role / Tier	SWE-bench	LiveCodeBench	LMSYS Elo	AIME	Input / Output
Kimi K3Fireworks AICurrent	Tier 1: Long-Context Architect	70.2%	62%	1390	—	$1 / $5
xAI Grok 4.6xAI Compare Kimi K3 vs xAI Grok 4.6 →	Tier 1: High-Reasoning Specialist	70.8%	62.4%	1392	—	$2 / $10
Step 5 PreviewStepFun Compare Kimi K3 vs Step 5 Preview →	Tier 1: Frontier Reasoning Contender	69.5%	61.8%	1388	—	$1 / $5
Qwen 3.8 Max (0902)Qwen Compare Kimi K3 vs Qwen 3.8 Max (0902) →	Tier 1: Enterprise Frontier Lead	72.8%	64%	1402	—	$0.8 / $4
xAI Grok 4.7xAI Compare Kimi K3 vs xAI Grok 4.7 →	Tier 1: Algorithmic Reasoning Specialist	73.6%	64.9%	1408	—	$3 / $15

Explore All AI Model Comparisons Hub (Kimi K3 & Flagship Peers) →

Run Kimi K3 in Swarm

Verified CLI workflow & multi-agent architecture

Quickstart Guide →

bash — swarm run

$swarm ctl model set --provider fireworks --model fireworks/kimi-k3

# Or switch interactively inside the terminal TUI:

>/models

Subagent Role Matrix

Assign Kimi K3 to specialized system roles in ~/.swarm/config.json:

Primary / Planner: Orchestrates full task DAGs and multi-stage pipelines.
Coder Subagent: Generates code and unit tests inside private Git worktrees.
Finder Subagent: Performs read-only code search, symbol discovery, and mapping.

System Agent Roles →Why Swarm Architecture →

← All Fireworks AI models

Public catalog snapshot. Catalog availability is not a real-time provider status or an access guarantee.