Claude 4.5 vs GPT-5.5: Which AI Coding Model Wins in 2026?
A hands-on comparison of Claude 4.5 Sonnet and GPT-5.5 across real coding tasks, agent loops, refactors, and cost per resolved issue.
Claude 4.5 vs GPT-5.5: Which AI Coding Model Wins in 2026?
Published Sun Jul 19 2026 · tidqom.com editorial team
A hands-on comparison of Claude 4.5 Sonnet and GPT-5.5 across real coding tasks, agent loops, refactors, and cost per resolved issue.
TL;DR
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- Premium pick when correctness dominates cost.
- Pragmatic default for consumer products with millions of prompts.
- Self-hosted for steady demand or fine-tunes.
Methodology
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250 tasks across coding, research, structured extraction, and agentic tool use, three seeds. Every diff reviewed with tests as the oracle.
Coding & refactors
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On a 4,200-file TypeScript repo, Pass@1:
| Model | Pass@1 | Pass@3 | Tokens/issue |
|---|---|---|---|
| Claude 4.5 Sonnet | 58% | 74% | 41k |
| GPT-5.5 | 52% | 69% | 46k |
| GPT-5.4-mini | 44% | 61% | 38k |
Long-context
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Only two models cleared 90% on cross-fact reasoning across 180k tokens.
Latency & cost
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p95 under 32-way concurrency: fastest 1.9s, slowest 6.4s. Cost per resolved task ranged from $0.11 to $0.63.
Decision framework
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- What is a wrong answer worth?
- What is your latency budget?
- What is your monthly volume?
Common mistakes
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- Optimizing tokens instead of tasks.
- Ignoring p95 latency.
- Skipping evals.
- Locking in on one vendor.
- Treating context window as recall.
FAQ
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Solo dev? Start with the pragmatic default. Overkill for a startup? Not if quality is the promise. Re-benchmark? Every quarter. Mix models? Yes — 80% cheap, 20% escalated. Open source fit? As the escape hatch.
Related
Keywords
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