Claude Opus 5.5
Claude Opus 5.5 is at the frontier in math; strong in factuality, reasoning, long context, and coding; and capable in agentic tasks and multimodal tasks. Too few results yet to rate safety, multilingual tasks, or instruction following.
Capability profile
Bars show the model's median result as a share of the leading model's, per capability. Select a row to see its results.
Too few results yet to rate Safety, Multilingual or Instruction Following.
Price
$4.00input$20.00outputper million tokens
From Anthropic's own price page · 4 providers tracked · All prices
Evidence
166results on98benchmarks
- 36 independently verified
- 58 aggregator
- 34 vendor-reported
- 38 cross-referenced
From 25 sources · latest Nov 8, 2026 · How verification works
API features
Tool callingStructured outputsReasoning
As listed by OpenRouter
Claude Opus 5.5 benchmark results
166 results on 98 benchmarks, grouped by capability. Each bar is the result as a share of the capability leader's; every result links to its source.
3.2% behind the leader5 of 5 ranked benchmarks measured
- LiveBench · Mathematics97.08Oct 18, 2026livebench_math@2026-06-25
- 91.23Sep 30, 2026
- 95.00Sep 30, 2026
Show 1 more math resultHide 1 math result
- LiveBench · Mathematics96.80Oct 18, 2026livebench_math@2026-06-25
4.3% behind the leader4 of 4 ranked benchmarks measured
- AA-Omniscience · Accuracy66.22Oct 16, 2026omniscienceAccuracy
- 72.20Sep 30, 2026
- 9.90Oct 24, 2026
- AA-Omniscience · Non-hallucination41.39Oct 16, 2026omniscienceNonHallucination
Show 8 more factuality resultsHide 8 factuality results
- AA-Omniscience · Accuracy64.58Oct 16, 2026omniscienceAccuracy
- AA-Omniscience · Accuracy64.55Oct 16, 2026omniscienceAccuracy
- AA-Omniscience · Accuracy65.38Oct 16, 2026omniscienceAccuracy
- AA-Omniscience · Accuracy63.53Oct 16, 2026omniscienceAccuracy
- AA-Omniscience · Non-hallucination32.38Oct 16, 2026omniscienceNonHallucination
- AA-Omniscience · Non-hallucination34.33Oct 16, 2026omniscienceNonHallucination
- AA-Omniscience · Non-hallucination31.64Oct 16, 2026omniscienceNonHallucination
- AA-Omniscience · Non-hallucination32.36Oct 16, 2026omniscienceNonHallucination
5.2% behind the leader5 of 6 ranked benchmarks measured
- 88.40Sep 25, 2026
- LiveBench · Reasoning92.15Oct 18, 2026livebench_reasoning@2026-06-25
- 31.71Nov 8, 2026
- 91.67Sep 23, 2026
- Humanity's Last Exam61.35Nov 8, 2026aa_hle
Show 13 more reasoning resultsHide 13 reasoning results
- 70.14Sep 23, 2026
- 87.50Sep 23, 2026
- 93.33Sep 23, 2026
- 92.50Sep 23, 2026
- 30.86Nov 8, 2026
- 17.71Nov 8, 2026
- 27.71Nov 8, 2026
- Humanity's Last Exam55.56Nov 8, 2026aa_hle
- Humanity's Last Exam54.73Nov 8, 2026aa_hle
- Humanity's Last Exam57.51Nov 8, 2026aa_hle
- Humanity's Last Exam48.33Nov 8, 2026aa_hle
- Humanity's Last Exam67.70Oct 10, 2026Humanity's Last Exam with tools
- LiveBench · Reasoning90.65Oct 18, 2026livebench_reasoning@2026-06-25
7.0% behind the leader1 of 3 ranked benchmarks measured
- 84.67Nov 8, 2026
8.7% behind the leader6 of 10 ranked benchmarks measured
- 1814.34Sep 24, 2026
- SciCode66.90Nov 8, 2026aa_scicode
- 93.90Nov 7, 2026
- 89.90Nov 7, 2026
- LiveBench · Coding89.25Oct 18, 2026livebench_coding@2026-06-25
- LiveBench · Agentic Coding71.72Oct 18, 2026livebench_agentic_coding@2026-06-25
Show 5 more coding resultsHide 5 coding results
- LiveBench · Agentic Coding65.35Oct 18, 2026livebench_agentic_coding@2026-06-25
- SciCode60.42Nov 8, 2026aa_scicode
- SciCode65.05Nov 8, 2026aa_scicode
- SciCode59.26Nov 8, 2026aa_scicode
- SciCode58.56Nov 8, 2026aa_scicode
13.0% behind the leader5 of 7 ranked benchmarks measured
- 90.80Nov 4, 2026
- 85.40Nov 8, 2026
- Terminal-Bench 4.059.60Nov 8, 2026
- 68.31Oct 16, 2026
Show 8 more agentic resultsHide 8 agentic results
- 38.23Nov 8, 2026
- 54.18Oct 16, 2026
- 66.55Oct 16, 2026
- 60.22Oct 16, 2026
- 36.76Oct 16, 2026
- Terminal-Bench 4.056.57Nov 8, 2026
- Terminal-Bench 4.031.31Nov 8, 2026
- Terminal-Bench 4.052.53Nov 8, 2026
21.4% behind the leader1 of 6 ranked benchmarks measured
- MMMU-Pro87.69Nov 8, 2026aa_mmmu_pro
Show 5 more multimodal resultsHide 5 multimodal results
0 of 3 ranked benchmarks measured
- LiveBench · Instruction Following65.74Oct 18, 2026livebench_instruction_following@2026-06-25
- LiveBench · Instruction Following67.05Oct 18, 2026livebench_instruction_following@2026-06-25
More results
Benchmarks outside the capability baskets. They are not ranked against a leader.
- 59.00Nov 8, 2026
- vectara_avg_summary_length192.10Oct 24, 2026Average Summary Length (Words)
- vectara_answer_rate99.70Oct 24, 2026Answer Rate
- vectara_factual_consistency90.10Oct 24, 2026Factual Consistency Rate
- livebench_data_analysis80.31Oct 18, 2026livebench_data_analysis@2026-06-25
- livebench_language85.50Oct 18, 2026livebench_language@2026-06-25
Show 91 more resultsHide 91 results
- AA Intelligence59.00Oct 3, 2026Artificial Analysis Intelligence Index
- AA Intelligence58.00Sep 22, 2026Artificial Analysis Intelligence Index
- AA Intelligence53.58Oct 16, 2026aa_intelligence_index
- AA Intelligence51.24Oct 16, 2026aa_intelligence_index
- AA Intelligence55.99Oct 16, 2026aa_intelligence_index
- AA Intelligence42.31Oct 16, 2026aa_intelligence_index
- AA Intelligence57.62Oct 16, 2026aa_intelligence_index
- 40.63Oct 16, 2026
- 40.32Oct 16, 2026
- 42.65Oct 16, 2026
- 38.87Oct 16, 2026
- 46.42Oct 16, 2026
- 38.20Oct 1, 2026
- Agentic coding (Terminal-Bench 4.0 (AA))59.60Oct 29, 2026
- 66.40Oct 14, 2026
- 88.50Sep 23, 2026
- 97.50Sep 23, 2026
- 98.50Sep 23, 2026
- 1504Oct 15, 2026
- ArXivMath without tools91.20Sep 28, 2026
- 42.50Oct 1, 2026
- baby_vision_with_python97.70Nov 4, 2026BabyVision w/ python
- 96.20Nov 4, 2026
- BenchCAD w/o tools73.00Nov 4, 2026
- ChartoGraphy w/ python89.00Nov 4, 2026
- charxiv_rq_with_python93.80Nov 4, 2026CharXiv (RQ) w/ python
- Computer use (Agent's Last Exam)38.20Oct 14, 2026
- 71.60Oct 29, 2026
- 87.20Oct 29, 2026
- 67.00Oct 14, 2026
- 67.00Oct 29, 2026
- 74.20Nov 7, 2026
- DeepSWE 1.174.20Nov 4, 2026DeepSWE v1.1
- GDPval-AA (Elo)1820.00Sep 22, 2026GDPval-AA (xhigh effort)
- GDPval-AA 2.11846.00Sep 28, 2026GDPval-AA v2.1
- 58.00Oct 29, 2026
- 70.20Oct 29, 2026
- 94.30Nov 7, 2026
- 94.30Sep 22, 2026
- GraphWalks (256k to 1M, BFS (F1))66.80Oct 1, 2026
- GraphWalks (Up to 128k, BFS (F1))90.60Oct 1, 2026
- 60.60Nov 7, 2026
- HealthBench (raw score)68.10Sep 22, 2026
- HealthBench length-adjusted60.60Sep 22, 2026HealthBench (length-adjusted)
- 65.60Nov 7, 2026
- HealthBench Professional (raw score)77.10Sep 22, 2026
- HLE (with tools)67.70Oct 21, 2026Humanity's Last Exam (with tools)
- HLE (with tools)67.70Nov 4, 2026HLE-Full w/ tools
- Humanity's Last Exam (w/ tools)67.70Oct 16, 2026Humanity’s Last Exam with tools
- 42.50Oct 14, 2026
- 67.00Oct 14, 2026
- 8.30Nov 7, 2026
- livebench_data_analysis79.80Oct 18, 2026livebench_data_analysis@2026-06-25
- livebench_language86.27Oct 18, 2026livebench_language@2026-06-25
- 83.70Oct 1, 2026
- 93.10Nov 7, 2026
- mmmu_pro_with_python89.80Nov 4, 2026MMMU-Pro w/ python
- 83.70Oct 14, 2026
- 78.90Nov 7, 2026
- 67.70Nov 7, 2026
- 81.80Nov 7, 2026
- OSWorld 2.0 (partial)81.80Sep 23, 2026OSWorld 2.0
- OSWorld 2.0 (strict)48.70Sep 22, 2026
- OSWorld 2.181.80Oct 10, 2026
- OSWorld 2.1 partial81.80Sep 29, 2026
- OSWorld 2.1 partial score81.80Sep 28, 2026
- OSWorld 2.1 strict pass rate48.70Sep 28, 2026
- PostTrain Bench v1.243.80Nov 4, 2026
- 49.30Oct 1, 2026
- 91.20Nov 7, 2026
- 65.00Nov 4, 2026
- 69.60Oct 1, 2026
- 69.60Oct 14, 2026
- Science and math (Terminal-Bench Science 0.1)63.30Oct 14, 2026
- Science and math (Terminal-Bench-Science 0.1 (AA))59.00Oct 29, 2026
- SWE Marathon v1.146.30Nov 4, 2026
- 61.40Nov 7, 2026
- Terminal-Bench 4.066.40Nov 7, 2026
- Terminal-Bench 4.052.30Oct 3, 2026
- Terminal-Bench 4.066.40Nov 4, 2026
- Terminal-Bench-Science 0.149.05Nov 8, 2026
- Terminal-Bench-Science 0.159.05Nov 8, 2026
- Terminal-Bench-Science 0.161.90Nov 8, 2026
- Terminal-Bench-Science 0.143.33Nov 8, 2026
- Terminal-Bench-Science 0.124.29Nov 8, 2026
- Terminal-Bench-Science 0.158.70Nov 7, 2026
- Terminal-Bench-Science 0.163.30Nov 4, 2026
- 77.80Nov 7, 2026
- Toolathlon Verified82.40Sep 22, 2026Toolathlon Verified Pass@3
- 67.00Oct 1, 2026
- ZeroBench_main w/ python (pass@5)61.00Nov 4, 2026
Claude Opus 5.5: common questions
Who makes Claude Opus 5.5?
Claude Opus 5.5 is made by Anthropic.
When was Claude Opus 5.5 released?
Claude Opus 5.5 was released on Sep 22, 2026, according to Anthropic's own announcement.
What is Claude Opus 5.5 good at?
Claude Opus 5.5 is at the frontier in math; strong in factuality, reasoning, long context, and coding; and capable in agentic tasks and multimodal tasks. Too few results yet to rate safety, multilingual tasks, or instruction following.
How much does Claude Opus 5.5 cost?
Claude Opus 5.5 costs $4.00 per million input tokens and $20.00 per million output tokens, according to Anthropic's own price page. We track its price at 4 providers. At a mix of three input tokens to one output token, it costs more than 91% of the 327 priced models we track.
How many benchmarks has Claude Opus 5.5 been tested on?
We track 166 results for Claude Opus 5.5 on 98 benchmarks from 25 sources, 36 of them independently verified. The latest was recorded on Nov 8, 2026.
Which API features does Claude Opus 5.5 support?
OpenRouter lists tool calling, structured outputs, and reasoning for Claude Opus 5.5.
About this record
Where Claude Opus 5.5's numbers come from, and every name it appears under.
- Tracked since
- Sep 22, 2026
- Newest source mention
- Nov 9, 2026
Where the results come from
Verification: 166 scores · 36 independently verified · 58 aggregator-attributed · 38 vendor cross-reference · 34 vendor-reported. How these tiers are assigned
From 25 sources on 14 sites. Artificial Analysis supplies 60 of them; the 36 independently verified results come from 9 sites. Bars are coloured by trust tier.
- artificialanalysis.ai60
- deepmind.google23
- api.llm-stats.com17
- huggingface.co15
- livebench.ai13
- www-cdn.anthropic.com11
- arcprize.org8
- anthropic.com6
- raw.githubusercontent.com4
- epoch.ai3
- datasets-server.huggingface.co2
- labs.scale.com2
- lmarena.ai1
- simple-bench.com1
Also known as
How our sources name Claude Opus 5.5 at each reasoning setting.
| Setting | Short form | Long form | API id |
|---|---|---|---|
| low | claude opus 5.5 (low) | Claude Opus 5.5 (Adaptive Reasoning, Low Effort, Default Fallback) | claude-opus-5-5-low |
| medium | claude opus 5.5 (medium) | claude opus 5.5 (adaptive reasoning, medium effort, default fallback) | claude-opus-5-5-medium |
| high | claude opus 5.5 (high) | Claude Opus 5.5 (Adaptive Reasoning, High Effort, Default Fallback) | claude-opus-5-5-high claude-opus-5.5-high |
| xhigh | claude opus 5.5 (xhigh) opus-5.5 xhigh | — | claude-opus-5-5-xhigh |
| max | claude opus 5.5 (max) | Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) | claude-opus-5.5-max claude-opus-5-5-max |