HEAD-TO-HEAD BENCHMARK COMPARISONTier 1 vs Tier 1

Claude Fable 5.1 vs Claude Opus 5.5

Empirical evaluation across autonomous coding benchmarks (SWE-bench Verified, LiveCodeBench), token economics, and multi-agent topology in Swarm.

TECHNICAL VERDICT

For autonomous agentic coding where multi-file patch pass rate is paramount, Claude Opus 5.5 holds the verified advantage (-3.3% difference). Claude Fable 5.1 is 2.5x cheaper on input tokens ($6/M vs $15/M). In Swarm multi-agent clusters, Both models sit in Tier 1 (Tier 1: Frontier Agentic Lead). Excellent peer redundancy or parallel Coder swarm execution.

Claude Fable 5.1

Primary / Planner
SWE-bench Verified:76.2%
LiveCodeBench:67.4%
Pricing (In / Out):$6 / $30
VS

Claude Opus 5.5

Primary / Planner
SWE-bench Verified:79.5%
LiveCodeBench:70.2%
Pricing (In / Out):$15 / $75

Standardized Coding & Reasoning Benchmarks

Verified, contamination-free benchmark scores with direct mathematical deltas.

Benchmark MetricClaude Fable 5.1Claude Opus 5.5Performance Delta
SWE-bench VerifiedReal-world GitHub issues resolved autonomously76.2%79.5%Claude Opus 5.5 (-3.3% difference)
LiveCodeBenchPost-training cutoff algorithmic challenges67.4%70.2%Claude Opus 5.5 (-2.8% difference)
LMSYS Coding EloCrowdsourced blind developer preference14351450Claude Opus 5.5 (-15Elo difference)
AIME (Competition Math)Deep multi-step deductive reasoning—92%Claude Opus 5.5 (Only measured on 92)

Token Economics & Operational Cost Ratio

Pricing per 1M tokens and prompt caching advantages for long-horizon sessions.

Prompt Input Tokens
Claude Fable 5.1$6 / 1M
Claude Opus 5.5$15 / 1M

Claude Fable 5.1 is 2.5x cheaper on input tokens ($6/M vs $15/M).

Completion Output Tokens
Claude Fable 5.1$30 / 1M
Claude Opus 5.5$75 / 1M

Output generation costs differ by 2.5x.

Context Caching Advantage
Claude Fable 5.1$$0.6 / 1M
Claude Opus 5.5$$0.6 / 1M

Prompt caching significantly reduces long-horizon AST parsing costs during multi-turn Swarm pairing sessions.

Swarm Multi-Agent Topology Synergy

How Swarm orchestrates Claude Fable 5.1 and Claude Opus 5.5 in autonomous engineering clusters.

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Optimal Cluster Configuration

Both models sit in Tier 1 (Tier 1: Frontier Agentic Lead). Excellent peer redundancy or parallel Coder swarm execution.

Tier 1

Claude Fable 5.1

Orchestrates multi-stage Task Programs with airtight boundary verification.

Worktree Isolation: Directs parallel subagent worktrees while maintaining master branch integrity.
Tier 1

Claude Opus 5.5

Unrivaled planning accuracy. Defines Task Program barrier stages that guarantee zero wasted subagent tokens.

Worktree Isolation: Supervises multi-agent worktree execution and verifies integration barriers with formal rigor.

When to Choose Which Model

Practical developer recommendations based on real-world engineering workloads.

Choose Claude Fable 5.1 if:

  • ✓Intelligence Index 53 with stellar multi-turn task completion
  • ✓Resilient against edge-case hallucinations in complex codebases
  • ✓Superior instruction obedience in long DAG pipelines
  • ✓Need Primary / Planner specialization inside Swarm.

Choose Claude Opus 5.5 if:

  • ✓79.5% SWE-bench Verified with state-of-the-art multi-step planning
  • ✓Flawless reasoning on distributed consistency protocols and concurrent code
  • ✓Unmatched stability on 200k+ context horizon tasks
  • ✓Need Primary / Planner specialization inside Swarm.

Frequently Asked Comparison Questions

Which model is better for autonomous software engineering: Claude Fable 5.1 or Claude Opus 5.5?

For autonomous agentic coding where multi-file patch pass rate is paramount, Claude Opus 5.5 holds the verified advantage (-3.3% difference). Claude Fable 5.1 is 2.5x cheaper on input tokens ($6/M vs $15/M). In Swarm multi-agent clusters, Both models sit in Tier 1 (Tier 1: Frontier Agentic Lead). Excellent peer redundancy or parallel Coder swarm execution. On SWE-bench Verified, Claude Fable 5.1 scores 76.2% vs Claude Opus 5.5 at 79.5%.

How do Claude Fable 5.1 and Claude Opus 5.5 compare on token pricing and operational economics?

Claude Fable 5.1 is 2.5x cheaper on input tokens ($6/M vs $15/M). On cached prompts, Claude Fable 5.1 costs $0.6/M vs Claude Opus 5.5 at $0.6/M.

How does Swarm configure Claude Fable 5.1 and Claude Opus 5.5 in multi-agent workflows?

Both models sit in Tier 1 (Tier 1: Frontier Agentic Lead). 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.

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