Claude Opus 5.5 wins on coding (100 vs 99) and price ($4 vs $10/1M input). For most workflows, Claude Opus 5.5 is the stronger default — anthropic's new coding default — top swe-bench pro score at a lower price than opus 5.
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 Claude Opus 5.5 vs GPT-6 Astra default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Claude Opus 5.5 is the strongest answer here for Claude Opus 5.5 vs GPT-6 Astra — 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
GPT-6 Astra is the fastest of these for Claude Opus 5.5 vs GPT-6 Astra — 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 leads on coding with a score of 100 vs 99 for GPT-6 Astra.
GPT-6 Astra has the larger context window: 1.05M vs 1M for Claude Opus 5.5.
Claude Opus 5.5 is cheaper at $4/1M input tokens vs $10/1M for GPT-6 Astra.
Decision notes
Choose Claude Opus 5.5 for agentic coding, long-running agents and knowledge work where Opus 5 was the bar. Its coding and research scores are what carry the recommendation here.
Choose GPT-6 Astra when your work is mostly computer and browser use and long-horizon agentic coding — that is the workload it was tuned for.
Both models serve different primary workflows — Claude Opus 5.5 for agentic coding and long-running agents and knowledge work where Opus 5 was the bar, GPT-6 Astra for computer and browser use and long-horizon agentic coding — so running each where it has a clear edge often beats forcing one to do both.
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Switch the scoring lens to see whether the Claude Opus 5.5 vs GPT-6 Astra answer changes when cost, speed, or long-document depth leads the decision.
#1Claude Opus 5.592 pts
#2GPT-6 Astra91 pts
Quality first
Claude Opus 5.5
Anthropic / Premium / Oct 10, 2026
92
Anthropic's new coding default — top SWE-bench Pro score at a lower price than Opus 5.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
Ranked first here for Claude Opus 5.5 vs GPT-6 Astra: 100/100 on coding, with the widest margin of anything in this line-up.
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.
Here for latency: it answers fastest of anything listed for Claude Opus 5.5 vs GPT-6 Astra, at 99/100 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 — two and a half times GPT-5.6 Sol's $4/$20 promotional rate, five times GPT-6.1 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-6.1 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, GPT-6.1 Sol at $2/$10 is the value default — OpenAI says it comes close to Astra at a fifth of the price.
Full pricing, benchmark table and release notes on the GPT-6 Astra page.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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FAQ
Is Claude Opus 5.5 better than GPT-6 Astra?
Claude Opus 5.5 wins on more of the categories we score — coding, research, reasoning — so it is the better default of the two. GPT-6 Astra is the better pick when your work is mostly computer and browser use and long-horizon agentic coding. Neither is universally "better": Claude Opus 5.5 is aimed at agentic coding and long-running agents and knowledge work where Opus 5 was the bar, GPT-6 Astra at computer and browser use and long-horizon agentic coding.
Which is cheaper — Claude Opus 5.5 or GPT-6 Astra?
Claude Opus 5.5 is cheaper at $4/1M input and $20/1M output. GPT-6 Astra costs $10/1M input and $50/1M output.
Which has a larger context window — Claude Opus 5.5 or GPT-6 Astra?
GPT-6 Astra has the larger context window at 1.05M tokens vs Claude Opus 5.5's 1M. For large document analysis, GPT-6 Astra is the stronger pick.
Is Claude Opus 5.5 or GPT-6 Astra better for coding?
Claude Opus 5.5 is better for coding with a score of 100 vs GPT-6 Astra's 99 (out of 100). Claude Opus 5.5 is the overall coding leader in this directory at 100/100.
Which is faster — Claude Opus 5.5 or GPT-6 Astra?
Both Claude Opus 5.5 and GPT-6 Astra have similar speed profiles — rated deliberate. Neither will be the bottleneck if latency is your deciding factor.
What are the downsides of Claude Opus 5.5?
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. 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. That is the main case for looking at GPT-6 Astra instead.
What are the downsides of GPT-6 Astra?
$10/$50 per 1M — two and a half times GPT-5.6 Sol's $4/$20 promotional rate, five times GPT-6.1 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. Avoid it if you are cost-sensitive or latency-bound — GPT-6.1 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. Against Claude Opus 5.5 specifically, the gap shows up most on coding (100 vs 99).
What does a month of real work cost on Claude Opus 5.5 vs GPT-6 Astra?
Take a moderate workload of 10M input and 2M output tokens a month. Claude Opus 5.5 runs $80.00 (at $4/1M in and $20/1M out); GPT-6 Astra runs $200.00 (at $10/1M in and $50/1M out). That is a $120.00/month difference — Claude Opus 5.5 is the cheaper of the two at this volume, and the gap scales linearly as you send more. Output tokens dominate the bill on both, so prompt length matters far less than response length.
Can I use Claude Opus 5.5 and GPT-6 Astra together?
Yes, and for most teams that beats picking one. A common split is Claude Opus 5.5 for agentic coding and long-running agents and knowledge work where Opus 5 was the bar, with GPT-6 Astra handling computer and browser use and long-horizon agentic coding. Since Claude Opus 5.5 is both the stronger and the cheaper option here, a split mainly makes sense if GPT-6 Astra covers a capability you specifically need.