UseRightAI
HomeModelsAsk AIComparePricingWhat's New
UseRightAICut through AI hype. Pick what works.

Independent AI model tracker. Live pricing, real benchmarks, zero vendor bias.

X (Twitter)LinkedInUpdatesContact

Compare

Opus 4.8 vs Opus 4.7Fable 5 vs Opus 4.8New AI Models 2026ChatGPT vs ClaudeGPT-4o vs Claude SonnetClaude vs GeminiDeepSeek vs ChatGPTMistral vs ClaudeGemini Flash vs GPT-4o MiniLlama vs ChatGPTAll comparisons →Build your own →

Best For

CodingWritingDevelopersProduct ManagersDesignersSalesBest Cheap AIBest Free AI

Pricing & Data

API Token PricingCost per TaskPrice HistoryBenchmark ScoresPrivacy & SafetySubscription PlansPlan Usage LimitsCost CalculatorWhich AI is Cheapest?Cheapest AI APIs

Company

About UseRightAIContactWhat ChangedAll ModelsGuidesEditorial PolicyDisclosuresPrivacy PolicyTerms of Service

© 2026 UseRightAI. Independent · Free forever · Not affiliated with any AI provider.

Affiliate links are clearly labeled. See disclosures.

Home/Best AI for Debugging
Top recommendationDeveloper Guide

Best AI for Debugging

Claude Opus 5.5 is the best AI for debugging hard problems. Anthropic reports 89.9% on SWE-bench Pro — a test built from real bugs in real repositories — and it is good at the part of debugging that matters most: following a failure across files and layers to its actual cause rather than patching the symptom. For everyday bugs, Claude Sonnet 5.5 is fast enough to use interactively at half the price.

Last verified Oct 10, 2026/Model data modified Oct 10, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
AnthropicPremium
Input cost
$4.00/1M
Context
1M tokens
Speed
Deliberate

Clear recommendation block

The safest debugging default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.

Best overall model

Claude Opus 5.5

View
Why this recommendation

Claude Opus 5.5 is the strongest answer here for debugging — pick it when quality of output matters more than the $4.00/1M/1M input you pay for it.

AnthropicPremium
Best for
Agentic coding, long-running agents and knowledge work where Opus 5 was the bar
Price
$4.00/1M
Context
1M tokens
Best value model

Claude Sonnet 5.5

View
Why this recommendation

Claude Sonnet 5.5 handles the same job for about 50% less per token. Start here and only move up if the output is not good enough.

AnthropicBalanced
Best for
Everyday feature work, bug fixing and polished documents at mid-tier pricing
Price
$2.00/1M
Context
1M tokens
Best for speed

GPT-6.1 Sol

View
Why this recommendation

GPT-6.1 Sol is the fastest of these for debugging — worth it when latency is what the reader notices, not the last few points of reasoning depth.

OpenAIBalanced
Best for
Agentic coding and computer use when Astra's price is hard to justify
Price
$2.00/1M
Context
1.1M tokens

Why this page recommends it

Claude Opus 5.5 is the strongest debugging model for bugs that span files and systems.

Claude Sonnet 5.5 handles most day-to-day debugging at half the price, and faster.

DeepSeek V4.1 Flash is the low-cost open-weight option for high-volume, reviewed fixes.

Decision notes

Use Claude Opus 5.5 for tricky bugs, architecture-level breakages and multi-file reasoning.

Use Claude Sonnet 5.5 for day-to-day debugging inside your editor.

Use DeepSeek V4.1 Flash for cheap first-pass fixes that a developer reviews before merging.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the debugging answer changes when cost, speed, or long-document depth leads the decision.

#1Claude Sonnet 5.593 pts
#2Claude Opus 5.592 pts
#3GPT-6.1 Sol92 pts
#4DeepSeek V4.1 Flash85 pts
Quality first

Claude Sonnet 5.5

Anthropic / Balanced / Oct 10, 2026

93

Near-Opus 5.5 quality on scoped work at half the price.

Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.

Cost
$2.00/1M
$10.00/1M out
Speed
Fast
4/5 score
Context
1M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

The work is long, ambiguous and multi-step — Anthropic positions Opus 5.5 for exactly that — or you need the lowest possible price, where Haiku 5.5 costs a twentieth as much.

Recommended comparisons

Where the debugging recommendation shifts once you weigh price or latency differently.

AnthropicPremiumTop recommendation

Claude Opus 5.5

Anthropic's new coding default — top SWE-bench Pro score at a lower price than Opus 5.

Best use case
Agentic coding, long-running agents and knowledge work where Opus 5 was the bar
Input
$4.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
CodingAgenticFlagship
AnthropicBalancedOption 2

Claude Sonnet 5.5

Near-Opus 5.5 quality on scoped work at half the price.

Best use case
Everyday feature work, bug fixing and polished documents at mid-tier pricing
Input
$2.00/1M
Pricing
Balanced
Speed
Fast
Context
1M tokens
CodingWritingFast
OpenAIBalancedOption 3

GPT-6.1 Sol

Near-Astra capability at Sol pricing — OpenAI's value pick.

Best use case
Agentic coding and computer use when Astra's price is hard to justify
Input
$2.00/1M
Pricing
Balanced
Speed
Balanced
Context
1.1M tokens
CodingAgenticValue
DeepSeekBudgetOption 4

DeepSeek V4.1 Flash

DeepSeek's open, cheap new default — V4-Pro now routes to it.

Best use case
Cheap coding and agent work with open weights
Input
$0.30/1M
Pricing
Budget
Speed
Fast
Context
1.0M tokens
Open weightsBudgetCoding

Side-by-side specs

List prices and published scores — the numbers this page's pick is built from.

ModelInputOutputEst. monthContextSpeedCodingWritingResearch
Claude Opus 5.5Anthropic$4.00/1M$20.00/1M$801M tokensDeliberate1009799
Claude Sonnet 5.5Anthropic$2.00/1M$10.00/1M$401M tokensFast989895
GPT-6.1 SolOpenAI$2.00/1M$10.00/1M$401.1M tokensBalanced989497
DeepSeek V4.1 FlashDeepSeek$0.30/1M$1.20/1M$5.401.0M tokensFast898383

Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.

The case for each model

Why each one is on the shortlist for debugging, what it is genuinely good at, and where we would steer you away from it.

Claude Opus 5.5

Top recommendationAnthropic

Our pick for debugging. It scores 100/100 on the coding axis we weight this page by, and nothing else in this shortlist matches it on output quality.

Anthropic's September 22, 2026 Opus — a step up from Opus 5 on agentic coding, long-running agent work and vision, at a lower $4/$20 list price and with fewer tokens spent per finished task.

Input
$4.00/1M
Output
$20.00/1M
Context
1M tokens
Speed
Deliberate

What people actually use it for

  • Repository-scale changes and PR work — Anthropic reports 89.9% on SWE-bench Pro, up from 79.2% for Opus 5
  • Long unattended agent runs where per-task token spend matters as much as the per-token price
  • Reports, analysis and briefs that need to state findings and next steps plainly

Where it wins

  • SWE-bench Pro 89.9% in Anthropic's launch table, ahead of Claude Fable 5.1 (81.2%) and Opus 5 (79.2%)
  • Cheaper than the model it replaces: $4/$20 per 1M against Opus 5's $5/$25, and cache reads at $0.20/1M
  • 1M context and 128K output at standard rates, with effort levels up to max

Where it falls down

  • Not ahead everywhere: Anthropic's own table has Opus 5 higher on Toolathlon Verified (80.6% vs 77.8%)
  • Fast mode doubles the price to $8/$40
  • Terminal-Bench 4.0 differs by effort setting (66.4% at xhigh, 64.8% at max), so single-digit gaps against rivals are directional

Skip it if

Your tasks are well-scoped and latency-sensitive — Sonnet 5.5 is half the price and Anthropic says it is the fastest Sonnet yet.

Our verdict

The new premium coding default from Anthropic. Opus 5.5 posts the highest SWE-bench Pro figure in any launch table we track and costs less than Opus 5 did. Fable 5.1 still makes sense for the hardest open-ended research at $10/$50; for almost everything else Opus 5.5 is the better buy, and Sonnet 5.5 at half the price is close behind on well-scoped work.

Full pricing, benchmark table and release notes on the Claude Opus 5.5 page.

Claude Sonnet 5.5

Anthropic

Where most budgets should land for debugging — about 50% less per token than Claude Opus 5.5, and still 98/100 on the coding axis.

Anthropic's September 28, 2026 Sonnet — built for well-scoped everyday work like features, bug fixes, documents, slides and spreadsheets, priced at $2/$10 and close to Opus 5.5 on most of Anthropic's launch rows.

Input
$2.00/1M
Output
$10.00/1M
Context
1M tokens
Speed
Fast

What people actually use it for

  • Day-to-day feature and bug-fix work in an IDE or coding agent, where speed matters more than ceiling
  • Drafting documents, slide decks and spreadsheets that need to be presentable on the first pass
  • Computer-use tasks — Anthropic reports 80.1% on OSWorld 2.1, within two points of Opus 5.5

Where it wins

  • Terminal-Bench 4.0 70.6% in Anthropic's table — above Opus 5.5's 66.4% on that row
  • Half the price of Opus 5.5 at $2/$10, with cache reads cut to $0.10/1M
  • Anthropic says it generates more than 30% faster than Sonnet 5

Where it falls down

  • Anthropic itself says Opus 5.5 is better on loosely defined tasks that need longer reasoning
  • Trails Opus 5.5 on Humanity's Last Exam (64.5% vs 67.7%)

Skip it if

The work is long, ambiguous and multi-step — Anthropic positions Opus 5.5 for exactly that — or you need the lowest possible price, where Haiku 5.5 costs a twentieth as much.

Our verdict

The model most people should default to in the Claude lineup. Sonnet 5.5 lands within a few points of Opus 5.5 on most of Anthropic's launch rows, beats it on Terminal-Bench 4.0, and costs half as much. Step up to Opus 5.5 only when the task is open-ended and long.

Full pricing, benchmark table and release notes on the Claude Sonnet 5.5 page.

GPT-6.1 Sol

OpenAI

Here for latency: it answers fastest of anything listed for debugging, at 98/100 on coding.

Input
$2.00/1M
Output
$10.00/1M
Context
1.1M tokens
Speed
Balanced

Near-Astra capability at Sol pricing — OpenAI's value pick. Full GPT-6.1 Sol review →

DeepSeek V4.1 Flash

DeepSeek

Also worth a look for debugging, at 89/100 on the coding axis.

Input
$0.30/1M
Output
$1.20/1M
Context
1.0M tokens
Speed
Fast

DeepSeek's open, cheap new default — V4-Pro now routes to it. Full DeepSeek V4.1 Flash review →

Explore related decisions

Developer Guide
Best AI for Code ReviewsCompare the best AI for code reviews based on bug detection, explanation quality, tradeoff…Read guide
Developer Guide
Best AI for API DevelopmentFind the best AI for API development across endpoint design, integration debugging, schema planning…Read guide
Developer Guide
Best AI for Coding InterviewsChoose the best AI for coding interviews based on explanation quality, debugging help, mock…Read guide
Directory
Browse all modelsEvery model we track with live pricing, context windows, and capability scores.Read guide

Quick links

Browse all modelsCompare pricingView Claude Opus 5.5View Claude Sonnet 5.5View GPT-6.1 Sol

How we evaluate AI models

UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.

Newsletter

Get updates when best ai for debugging changes

We email when the debugging pick changes, when one of these models moves on price, or when something new displaces the current leader.

No spam. Useful updates only. Affiliate disclosures always clearly labeled.

FAQ

What is the best AI for debugging?

For debugging, Claude Opus 5.5 (Anthropic) is our pick. Anthropic's new coding default — top SWE-bench Pro score at a lower price than Opus 5. It costs $4/1M input and $20/1M output tokens, with a 1M-token context window — enough headroom for all but the largest debugging jobs. Claude Sonnet 5.5 is the closest alternative if it doesn't fit your setup.

Why Claude Opus 5.5 for debugging?

Because the work it is built for overlaps closely with debugging: repository-scale changes and PR work — Anthropic reports 89.9% on SWE-bench Pro, up from 79.2% for Opus 5 and long unattended agent runs where per-task token spend matters as much as the per-token price. The new premium coding default from Anthropic. Opus 5.5 posts the highest SWE-bench Pro figure in any launch table we track and costs less than Opus 5 did. Fable 5.1 still makes sense for the hardest open-ended research at $10/$50; for almost everything else Opus 5.5 is the better buy, and Sonnet 5.5 at half the price is close behind on well-scoped work.

What does it cost to use Claude Opus 5.5 for debugging?

On a moderate month — 10M input and 2M output tokens — Claude Opus 5.5 runs about $80.00 at list price, with no batch or caching discounts applied, so treat that as a ceiling. DeepSeek V4.1 Flash is the cheaper route at roughly $5.40 for the same volume, if debugging is high-volume enough for price to lead the decision.

When is Claude Opus 5.5 the wrong choice for debugging?

Not ahead everywhere: Anthropic's own table has Opus 5 higher on Toolathlon Verified (80.6% vs 77.8%). Fast mode doubles the price to $8/$40. Avoid it if your tasks are well-scoped and latency-sensitive — Sonnet 5.5 is half the price and Anthropic says it is the fastest Sonnet yet. None of that rules it out for debugging on its own — but if one of those limits maps onto how you actually work, take the alternative on this page seriously rather than defaulting to the top pick.

Is there a cheaper AI that still handles debugging?

DeepSeek V4.1 Flash at $0.3/1M input is the budget option here. DeepSeek's open, cheap new default — V4-Pro now routes to it. Expect a quality step down on the hardest cases — the usual pattern is to route routine debugging volume to DeepSeek V4.1 Flash and keep Claude Opus 5.5 for the work where a wrong answer is expensive.

Which of these is fastest?

Claude Sonnet 5.5, rated fast against Claude Opus 5.5's deliberate. Speed matters most for interactive and high-volume work; if your debugging runs in the background, the slower and more capable model is usually the better trade.