Anthropic, proprietary

# Claude Opus 5.5

> Claude Opus 5.5 by Anthropic, released September 2026. Ranked #3 of 354 with a Noometry Index of 68.6. API: $4 in / $20 out per M tokens. 1M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/claude-opus-5-5
- Last updated: 2026-10-10
- Title: Claude Opus 5.5 Benchmarks, Price & Rank (October 2026)

Claude Opus 5.5 by Anthropic ranks 3rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 68.6. Its strongest category is multimodal, where it ranks 1st. API pricing starts at $4 per million input tokens and $20 per million output tokens, with a 1M-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #3 of 354
- **Index score:** 68.6
- **Evidence:** Confirmed 44 results
- **Provider:** [Anthropic](https://noometry.com/providers/anthropic)
- **Released:** September 22, 2026
- **Weights:** Proprietary
- **Reasoning:** Yes
- **Context window:** 1M
- **Max output:** 128K
- **Input price:** $4 / M
- **Output price:** $20 / M
- **Blended price:** $8 / M
- **Output speed:** Not measured
- **Value:** #190 of 219
- **Knowledge cutoff:** June 2026
- **Input:** text, image, pdf

## Category scores

Each category score combines every public result we have in that category.

Claude Opus 5.5 category scores

1.  Coding 71.9
2.  Agentic & Tool Use 45.3
3.  Reasoning 80.2
4.  Math 91.8
5.  Knowledge 66.4
6.  Multimodal 57.8
7.  Multilingual 59.1
8.  Instruction Following 80.0
9.  Long Context 47.1
10.  Writing & Preference 78.2
11.  050100

Claude Opus 5.5 category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 71.9 | #3 | 7 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 45.3 | #15 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 80.2 | #3 | 9 |
| [Math](https://noometry.com/best/math) | 91.8 | #3 | 5 |
| [Knowledge](https://noometry.com/best/knowledge) | 66.4 | #10 | 3 |
| [Multimodal](https://noometry.com/best/multimodal) | 57.8 | #1 | 3 |
| [Multilingual](https://noometry.com/best/multilingual) | 59.1 | #2 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 80.0 | #3 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 47.1 | #19 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 78.2 | #3 | 4 |

## Strengths and weaknesses

Categories where Claude Opus 5.5 places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Claude Opus 5.5: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multilingual](https://noometry.com/best/multilingual) | 59.1 | +11.7 | #2 of 297, top 1% |
| [Multimodal](https://noometry.com/best/multimodal) | 57.8 | +19.2 | #1 of 128, top 1% |
| [Reasoning](https://noometry.com/best/reasoning) | 80.2 | +56.6 | #3 of 350, top 1% |

### Weakest categories

Claude Opus 5.5: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 45.3 | +14.9 | #15 of 154, top 10% |
| [Long Context](https://noometry.com/best/long-context) | 47.1 | +6.1 | #19 of 296, top 7% |
| [Knowledge](https://noometry.com/best/knowledge) | 66.4 | +29.1 | #10 of 314, top 4% |

## Closest competitors

The models ranked just above and below Claude Opus 5.5. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Claude Opus 5.5
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | #1 | 70.8 | $20 | — | [Compare](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-astra) |
| [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | #2 | 69.0 | $20 | — | [Compare](https://noometry.com/compare/claude-fable-5-1-vs-claude-opus-5-5) |
| [Claude Opus 5](https://noometry.com/models/claude-opus-5) | #4 | 67.8 | $10 | — | [Compare](https://noometry.com/compare/claude-opus-5-vs-claude-opus-5-5) |
| [Claude Fable 5](https://noometry.com/models/claude-fable-5) | #5 | 66.8 | $20 | 25 | [Compare](https://noometry.com/compare/claude-fable-5-vs-claude-opus-5-5) |
| [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | #6 | 65.6 | $4 | — | [Compare](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-1-sol) |
| [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | #7 | 65.0 | $8 | 10 | [Compare](https://noometry.com/compare/claude-opus-5-5-vs-gpt-5-6-sol) |
| [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro) | #8 | 64.3 | $67.50 | — | [Compare](https://noometry.com/compare/claude-opus-5-5-vs-gpt-5-5-pro) |
| [GPT-5.5](https://noometry.com/models/gpt-5-5) | #9 | 63.4 | $11.25 | 25 | [Compare](https://noometry.com/compare/claude-opus-5-5-vs-gpt-5-5) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Claude Opus 5.5 Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierCode](https://noometry.com/benchmarks/frontiercode) | 54.6% | Best of 37 | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [FrontierCode](https://noometry.com/benchmarks/frontiercode) | 54.4% |  | max | [Model card](https://www.anthropic.com/claude-opus-5-5) (self-reported) | 2026-09-22 |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 56% |  | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 43.7% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 57.8% | Best of 14 | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 52.5% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 56% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1813 | Best of 113 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [FrontierSWE](https://noometry.com/benchmarks/frontierswe) | 62.3% | #2 of 18, top 12% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 60.4% |  | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 58.6% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 66.9% | Best of 121 | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 59.3% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 65% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1547 | #2 of 294, top 1% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [MirrorCode](https://noometry.com/benchmarks/mirrorcode) | 77.4% | Best of 9 | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 2,147 | #5 of 105, top 5% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

Claude Opus 5.5 Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [APEX-Agents](https://noometry.com/benchmarks/apex-agents) | 73.5% | #3 of 49, top 7% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [APEX-Agents](https://noometry.com/benchmarks/apex-agents) | 52.5% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GDP.pdf](https://noometry.com/benchmarks/gdp-pdf) | 30.6% | #4 of 36, top 12% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Vending-Bench 2](https://noometry.com/benchmarks/vending-bench-2) | 9,235 | #8 of 60, top 14% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Claude Opus 5.5 Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 93.3% | #3 of 83, top 4% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 70.1% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 91.7% |  | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 87.5% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 92.5% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 88.5% | #23 of 91, top 26% | high reasoning | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 98.5% | #2 of 83, top 3% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 88.5% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 97.5% |  | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 97.5% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 97.5% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 30.9% |  | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 17.7% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 31.7% | #2 of 134, top 2% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 27.7% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 31.7% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [EBR-Bench](https://noometry.com/benchmarks/ebr-bench) | 71.4% | #2 of 24, top 9% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1535 | #2 of 297, top 1% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 71% | #3 of 74, top 5% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-29 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 98.9% | Best of 151 | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 68.2% | Best of 125 | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 167.33 | Best of 213 |  | [Epoch AI](https://epoch.ai/eci) | 2026-09-22 |

### Math

Claude Opus 5.5 Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 91.2% | #3 of 81, top 4% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| [FrontierMath Tier 4](https://noometry.com/benchmarks/frontiermath-tier-4) | 95% | #3 of 63, top 5% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 100% | #3 of 173, top 2% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| [ProofBench](https://noometry.com/benchmarks/proofbench) | 100% | #2 of 77, top 3% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1506 | #9 of 285, top 4% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [FrontierMath Erdős](https://noometry.com/benchmarks/frontiermath-erdos) | 2.9% | #2 of 7, top 29% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-24 |

### Knowledge

Claude Opus 5.5 Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 90.6% | #33 of 186, top 18% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| [SimpleQA Verified](https://noometry.com/benchmarks/simpleqa-verified) | 72.2% | #4 of 77, top 6% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1547 | #3 of 273, top 2% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

Claude Opus 5.5 Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1321 | #2 of 122, top 2% | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |
| [Blueprint-Bench 2](https://noometry.com/benchmarks/blueprint-bench-2) | 51.2% | #2 of 31, top 7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Furniture Assembly](https://noometry.com/benchmarks/furniture-assembly) | 83.3% | Best of 31 | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-09-22 |

### Multilingual

Claude Opus 5.5 Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1507 | #2 of 297, top 1% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1588 | #2 of 285, top 1% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1514 | #4 of 223, top 2% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1520 | #3 of 283, top 2% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1507 | #4 of 226, top 2% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Claude Opus 5.5 Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1537 | #2 of 298, top 1% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Claude Opus 5.5 Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1532 | #2 of 291, top 1% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Claude Opus 5.5 Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1515 | #2 of 297, top 1% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1533 | Best of 295 | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 2050 | #7 of 115, top 7% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1499 | #6 of 295, top 3% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

Claude Opus 5.5 API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [anthropic](https://docs.anthropic.com/en/docs/about-claude/models) | $4 | $20 | $0.20 | 2026-10-10 |
| [azure](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models) | $4 | $20 | $0.20 | 2026-10-10 |
| [bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html) | $4 | $20 | $0.20 | 2026-10-10 |
| [openrouter](https://openrouter.ai/anthropic/claude-opus-5.5) | $4 | $20 | $0.20 | 2026-10-10 |
| [vertex](https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/claude) | $4 | $20 | $0.20 | 2026-10-10 |

[All Anthropic API prices →](https://noometry.com/llm-pricing/anthropic) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare Claude Opus 5.5

-   [Claude Opus 5.5 vs Claude Opus 5](https://noometry.com/compare/claude-opus-5-vs-claude-opus-5-5)
-   [Claude Opus 5.5 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-claude-opus-5-5)
-   [Claude Opus 5.5 vs GPT-6 Astra](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-astra)
-   [Claude Opus 5.5 vs Claude Fable 5](https://noometry.com/compare/claude-fable-5-vs-claude-opus-5-5)
-   [Claude Opus 5.5 vs GPT-6.1 Sol](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-1-sol)
-   [Claude Opus 5.5 vs GPT-5.6 Sol](https://noometry.com/compare/claude-opus-5-5-vs-gpt-5-6-sol)
-   [Claude Opus 5.5 vs Gemini 3.8 Flash](https://noometry.com/compare/claude-opus-5-5-vs-gemini-3-8-flash)
-   [Claude Opus 5.5 vs Kimi K3](https://noometry.com/compare/claude-opus-5-5-vs-kimi-k3)
-   [Claude Opus 5.5 vs Grok 4.6](https://noometry.com/compare/claude-opus-5-5-vs-grok-4-6)
-   [Claude Opus 5.5 vs Qwen3.8 Max](https://noometry.com/compare/claude-opus-5-5-vs-qwen3-8-max)
-   [Claude Opus 5.5 vs GLM-5.3](https://noometry.com/compare/claude-opus-5-5-vs-glm-5-3)
-   [Claude Opus 5.5 vs Muse Spark 1.3](https://noometry.com/compare/claude-opus-5-5-vs-muse-spark-1-3)
-   [Claude Opus 5.5 vs DeepSeek V4 Pro](https://noometry.com/compare/claude-opus-5-5-vs-deepseek-v4-pro)
-   [Claude Opus 5.5 vs MiMo-V2.6-Pro](https://noometry.com/compare/claude-opus-5-5-vs-mimo-v2-6-pro)

## Other Anthropic models

-   [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1)69.0
-   [Claude Opus 5](https://noometry.com/models/claude-opus-5)67.8
-   [Claude Fable 5](https://noometry.com/models/claude-fable-5)66.8
-   [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5)61.9
-   [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8)60.7
-   [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7)58.3
-   [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6)58.2
-   [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5)54.6

## Frequently asked questions

### How good is Claude Opus 5.5?

Claude Opus 5.5 by Anthropic ranks 3rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 68.6. Its strongest category is multimodal, where it ranks 1st. API pricing starts at $4 per million input tokens and $20 per million output tokens, with a 1M-token context window.

### How much does Claude Opus 5.5 cost?

Claude Opus 5.5 costs $4 per million input tokens and $20 per million output tokens on Anthropic's own API, with cached input at $0.20.

### What is Claude Opus 5.5's context window?

Claude Opus 5.5 accepts up to 1M tokens of input and can write up to 128K tokens in one response.

### Is Claude Opus 5.5 open source?

No. Claude Opus 5.5 is proprietary and available only through Anthropic's API and partner platforms.

### What are Claude Opus 5.5's strengths and weaknesses?

Relative to other ranked models, Claude Opus 5.5 places best in multilingual, multimodal, reasoning and lowest in agentic & tool use, long context, knowledge.

### What is Claude Opus 5.5 best at?

Its best category is multimodal, where it ranks 1st on Noometry.

### Cite this page

Noometry. (2026). Claude Opus 5.5 benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/claude-opus-5-5

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/claude-opus-5-5.md).