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Home/What Is the Best AI Model?
Best model right nowDirect Answer

What Is the Best AI Model?

The best AI model right now is Claude Opus 5.5, released September 22, 2026. Anthropic's launch table puts it at 89.9% on SWE-bench Pro and 81.8% on OSWorld 2.1, and it costs $4/$20 per million tokens. It is not first on every benchmark: GPT-6 Astra leads on frontier maths and computer use, and Claude Fable 5.1 on some research tests, both at $10/$50. For most people, though, 'best' means best value, and that is Claude Sonnet 5.5 — near Opus 5.5 on scoped work 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 this comparison 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 this comparison — 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 Astra

View
Why this recommendation

GPT-6 Astra is the fastest of these for this comparison — worth it when latency is what the reader notices, not the last few points of reasoning depth.

OpenAIPremium
Best for
Computer and browser use, long-horizon agentic coding, and frontier math and science work
Price
$10.00/1M
Context
1.1M tokens

Why this page recommends it

Claude Opus 5.5 is the best overall model as of October 2026, and cheaper than the $10/$50 frontier tier.

GPT-6 Astra and Claude Fable 5.1 still lead specific benchmarks — computer use, frontier maths, some research tests.

For most people the best value is Claude Sonnet 5.5 or GPT-6.1 Sol at $2/$10.

Decision notes

Choose Claude Opus 5.5 when you want the strongest broad model without paying frontier prices.

Choose GPT-6 Astra when your work is computer use, browser agents or frontier maths.

Choose Claude Sonnet 5.5 if price and speed matter as much as peak capability — it is the better daily default.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the this comparison 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
#4GPT-6 Astra91 pts
#5Claude Fable 5.191 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 this comparison recommendation shifts once you weigh price or latency differently.

AnthropicPremiumBest model right now

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
OpenAIPremiumOption 2

GPT-6 Astra

OpenAI's frontier answer to Fable 5.1 — computer-use and agentic-coding leader at $10/$50.

Best use case
Computer and browser use, long-horizon agentic coding, and frontier math and science work
Input
$10.00/1M
Pricing
Premium
Speed
Deliberate
Context
1.1M tokens
Computer use leaderFrontierAgentic
AnthropicPremiumOption 3

Claude Fable 5.1

New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.

Best use case
Frontier agentic coding, long-horizon autonomous work, and agentic scientific research
Input
$10.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Coding leaderFrontierAgentic
AnthropicBalancedOption 4

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 5

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

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
GPT-6 AstraOpenAI$10.00/1M$50.00/1M$2001.1M tokensDeliberate10097100
Claude Fable 5.1Anthropic$10.00/1M$50.00/1M$2001M tokensDeliberate10098100
Claude Sonnet 5.5Anthropic$2.00/1M$10.00/1M$401M tokensFast989895

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 this comparison, what it is genuinely good at, and where we would steer you away from it.

Claude Opus 5.5

Best model right nowAnthropic

Our pick for this comparison. 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.

GPT-6 Astra

OpenAI

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

OpenAI's September 3, 2026 frontier release — the first GPT-6 model and OpenAI's answer to Claude Fable 5.1 two days earlier. State of the art on computer use (OSWorld 2.0 72.6% in ~47% less time than GPT-5.6 Sol), agentic coding (Terminal-Bench 4.0 57.9%), and frontier math (FrontierMath Tier 4 97.6%). $10/$50 per 1M tokens, 1.05M context, 128K output, knowledge cutoff April 30, 2026.

Input
$10.00/1M
Output
$50.00/1M
Context
1.1M tokens
Speed
Deliberate

What people actually use it for

  • Computer-use agents that fill forms, update CRMs, run QA in a browser — 72.6% on OSWorld 2.0 at ~40 minutes per task vs Sol's 75
  • Agentic coding in Codex with cross-context notes — 57.9% Terminal-Bench 4.0, ahead of Claude Fable 5.1 (55.8%)
  • Frontier math and science — 97.6% FrontierMath Tier 4 and 64.6% Terminal-Bench Science, both well clear of every rival OpenAI tested

Where it wins

  • OSWorld 2.0 72.6% vs 65.7% for GPT-5.6 Sol, in roughly 47% less time per task — the new computer-use ceiling
  • Terminal-Bench 4.0 57.9% — ahead of Claude Fable 5.1 (55.8%), Opus 5 (52.3%) and GPT-5.6 Sol (37.3%)
  • FrontierMath Tier 4 (v2) 97.6% vs Fable 5.1's 87.8%; Terminal-Bench Science 64.6% vs 52.6%; GPQA Diamond 96.0%
  • 1.05M context with 96.3% on OpenAI MRCR 8-needle at 512K–1M (Sol: 73.8%) and 128K max output
  • OpenAI's lowest misaligned-outcome rates to date: 2.4% on its computer-use safety benchmark vs 22.0% for Sol, 0% scope-creep on impossible cyber tasks vs 48%

Where it falls down

  • $10/$50 per 1M — five times GPT-5.6 Sol's $2/$10 and the same premium as Claude Fable 5.1; Fast mode doubles it again
  • Trails Claude Fable 5.1 on Humanity's Last Exam with tools (57.2% vs 65.0%) and on the Artificial Analysis Intelligence Index (61.2 vs 65.7)
  • OpenAI published no SWE-bench Verified or SWE-bench Pro figure at launch, so it does not appear on our SWE-bench leaderboard
  • Rolling out over days, not instantly: Enterprise access is off by default, advanced cyber tasks are refused outside OpenAI Daybreak, and the safety layer can pause or stop legitimate agent runs
  • OpenAI's own system card finds its written reasoning harder to monitor than Sol's

Skip it if

You are cost-sensitive or latency-bound — GPT-5.6 Sol is a fifth of the price — or you need it today in an Enterprise workspace, where it is off by default, or for offensive-security work, which it refuses outside OpenAI Daybreak.

Our verdict

The new computer-use and agentic-coding ceiling, and OpenAI's first model priced like a Mythos-class Claude. Astra beats Claude Fable 5.1 on Terminal-Bench 4.0 (57.9% vs 55.8%), Terminal-Bench Science (64.6% vs 52.6%) and FrontierMath Tier 4 (97.6% vs 87.8%), and it is the only model with a credible OSWorld 2.0 result above 70%. It loses to Fable 5.1 on Humanity's Last Exam and on Artificial Analysis's index, costs five times GPT-5.6 Sol, and ships without a SWE-bench number. If your work is computer use, browser agents or math, it is the pick; for everyday coding at scale, Sol at $2/$10 remains the value default.

Full pricing, benchmark table and release notes on the GPT-6 Astra page.

Claude Fable 5.1

Anthropic

Rounds out the shortlist for this comparison at 100/100 on coding.

Input
$10.00/1M
Output
$50.00/1M
Context
1M tokens
Speed
Deliberate

New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run. Full Claude Fable 5.1 review →

Claude Sonnet 5.5

Anthropic

The value option for this comparison: about 50% less per token than Claude Opus 5.5, at 98/100 on coding. Worth starting here and moving up only if the output disappoints.

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

Near-Opus 5.5 quality on scoped work at half the price. Full Claude Sonnet 5.5 review →

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Quick links

Browse all modelsCompare pricingView Claude Opus 5.5View GPT-6 AstraView Claude Fable 5.1

How we evaluate AI models

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FAQ

What is the best AI model overall?

Claude Opus 5.5, as of October 2026. Anthropic reports 89.9% on SWE-bench Pro, 81.8% on OSWorld 2.1 and 67.7% on Humanity's Last Exam, at $4/$20 per million tokens.

Is GPT-6 Astra better than Claude Opus 5.5?

On some things. Astra leads on frontier maths (97.6% FrontierMath Tier 4) and computer use (72.6% OSWorld 2.0) in OpenAI's table. On Terminal-Bench 4.0, Opus 5.5 is ahead (66.4% vs 57.9%, both vendor figures), and Astra costs two and a half times as much.

What is the best AI model for writing?

Claude Sonnet 5.5. It holds tone and structure across long drafts, and Anthropic built it for polished documents. Opus 5.5 is the step up for long, high-stakes pieces.

What is the best AI model for research?

For the hardest open-ended questions, Claude Fable 5.1 or GPT-6 Astra. For most document research, Claude Opus 5.5 or GPT-6.1 Sol, both with windows of about a million tokens.

Is the best AI model always worth the price?

No. The best model is worth it only when quality failures are expensive enough to justify paying more. For routine work, Claude Haiku 5.5 or GPT-6 Luna at $0.10 per million input tokens is usually the better decision.