What are the verified coding and reasoning benchmarks for OpenAI: GPT-6 Sol?

OpenAI: GPT-6 Sol achieves SWE-bench Verified: 75.1% (High Thinking), LiveCodeBench: 65.8%. Verified sources: Artificial Analysis Intelligence Index v4.3.2 (Artificial Analysis), GPT-6 Architecture and Reasoning Capabilities (OpenAI).

How does OpenAI: GPT-6 Sol compare to rival frontier coding models on SWE-bench and pricing?

OpenAI: GPT-6 Sol achieves SWE-bench Verified: 75.1% at $2.5/$12.5 per 1M tokens. Direct peer comparison: Muse Spark 1.3 (74.8% SWE-bench, $1.2/$6); xAI Grok 4.7 (73.6% SWE-bench, $3/$15); MiMo-V2.6-Pro (71.4% SWE-bench, $0.15/$0.6); OpenAI GPT-6 Astra (82% SWE-bench, $6/$24).

Does Swarm isolate OpenAI: GPT-6 Sol 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 OpenAI: GPT-6 Sol be assigned to specific subagent roles?

Yes. In ~/.swarm/config.json, you can configure OpenAI: GPT-6 Sol as Primary/Planner (DAG task decomposition), Coder (implementation in isolated worktrees), or Finder (read-only symbol search).

OpenAI: GPT-6 Sol — Specs, Context & Capabilities

Q: What is the recommended Swarm multi-agent topology for OpenAI: GPT-6 Sol?

Swarm recommends OpenAI: GPT-6 Sol as Primary / Planner (Tier 1: Frontier Generalist). Balances high reasoning capacity with moderate costs for multi-checkpoint workflows. Best paired with: gpt-6-luna or gemini-3-8-flash for high-volume execution.

Q: How do I run OpenAI: GPT-6 Sol with Swarm?

Configure OpenAI: GPT-6 Sol via CLI using: swarm ctl model set --provider openrouter --model openrouter/openai/gpt-6-sol, or switch models interactively inside the terminal TUI with /models.

OpenAI: GPT-6 Sol Benchmarks & Agentic Accuracy

Verified primary research & developer preference metrics

Primary Sources Verified

SWE-bench Verified

75.1%

High ThinkingOpenAI Research ↗

LiveCodeBench

65.8%

ThinkingLiveCodeBench ↗

LMSYS Coding Elo

1415Elo

Coding ArenaLMSYS Arena ↗

Pricing ($ / 1M tokens)

$2.5/ $12.5

$0.25 cached readStandard API Pricing

What This Means in Real Software Development

Earns 48 on Artificial Analysis Intelligence Index v4.3.2 with solid balance across all 10 evaluations.
Matches 48 on Finance & Accounting Index with rigorous math deduction.
Costs $2.50 per Intelligence task with competitive $2.50/M input and $12.50/M output token rates.
Engineered with native OpenAI tool grounding and JSON schema adherence.

Swarm Multi-Agent Topology

Tier 1: Frontier GeneralistRole: Primary / Planner

Best Paired With: gpt-6-luna or gemini-3-8-flash for high-volume execution

Balances high reasoning capacity with moderate costs for multi-checkpoint workflows.

Git Worktree Isolation Advantage:

Handles large git diffs without branch pollution in dedicated worktrees.

What Developers & Practitioners Are Saying

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

Field Consensus

"The steady backbone of GPT-6 series. Reliable schema adherence, predictable latency, and clean code refactoring make it ideal for automated CI/CD agents."

Verified Real-World Strengths

Reliable 48 Intelligence Index with balanced economics ($2.50/task)
Strict adherence to tool contracts and structured output
Solid 75.1% SWE-bench Verified score

Production Caveats & Gaps

Does not match Muse Spark 1.3 on throughput (60 TPS vs 219 TPS)
Slightly higher cost than specialized open-weight models

Primary Sources & Methodology Citations

Artificial Analysis Intelligence Index v4.3.2 — Artificial Analysis (September 2026)
GPT-6 Architecture and Reasoning Capabilities — OpenAI (May 2026)

Head-to-Head Frontier Comparisons: OpenAI: GPT-6 Sol 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
OpenAI: GPT-6 SolOpenRouterCurrent	Tier 1: Frontier Generalist	75.1%	65.8%	1415	—	$2.5 / $12.5
Muse Spark 1.3Meta Compare OpenAI: GPT-6 Sol vs Muse Spark 1.3 →	Tier 1: High-Speed Frontier Coder	74.8%	66.2%	1420	—	$1.2 / $6
xAI Grok 4.7xAI Compare OpenAI: GPT-6 Sol vs xAI Grok 4.7 →	Tier 1: Algorithmic Reasoning Specialist	73.6%	64.9%	1408	—	$3 / $15
MiMo-V2.6-ProXiaomi Compare OpenAI: GPT-6 Sol vs MiMo-V2.6-Pro →	Tier 1: Maximum Efficiency Frontier	71.4%	63.5%	1395	—	$0.15 / $0.6
OpenAI GPT-6 AstraOpenAI Compare OpenAI: GPT-6 Sol vs OpenAI GPT-6 Astra →	Tier 1: Autonomous Chief Architect	82%	84.5%	1470	97%	$6 / $24

Explore All AI Model Comparisons Hub (OpenAI: GPT-6 Sol & Flagship Peers) →

OpenAI: GPT-6 Sol model overview

OpenAI: GPT-6 Sol is listed in the public Swarm catalog through OpenRouter. This page summarizes the verified catalog fields used by Swarm without claiming real-time access for every provider account.

Provider: OpenRouter
Family: OpenRouter
Context window: 1.05M tokens
Thinking support: off · low · medium · high · xhigh · max
Availability status: Available
Catalog ID: openrouter/openai/gpt-6-sol

File input
Image input
Text input
Text output
Reasoning
Tools
Structured output
JSON

Run OpenAI: GPT-6 Sol in Swarm

Verified CLI workflow & multi-agent architecture

Quickstart Guide →

bash — swarm run

$swarm ctl model set --provider openrouter --model openrouter/openai/gpt-6-sol

# Or switch interactively inside the terminal TUI:

>/models

Subagent Role Matrix

Assign OpenAI: GPT-6 Sol 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 →