Anthropic, proprietary

# Claude Sonnet 4.6

> Claude Sonnet 4.6 by Anthropic, released February 2026. Ranked #50 of 354 with a Noometry Index of 50.3. API: $3 in / $15 out per M tokens. 1M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/claude-sonnet-4-6
- Last updated: 2026-10-10
- Title: Claude Sonnet 4.6 Benchmarks, Price & Rank (October 2026)

Claude Sonnet 4.6 by Anthropic ranks 50th of 354 ranked models on the Noometry Index as of October 2026, with a score of 50.3. Its strongest category is writing & preference, where it ranks 22nd. API pricing starts at $3 per million input tokens and $15 per million output tokens, with a 1M-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #50 of 354
- **Index score:** 50.3
- **Evidence:** Confirmed 57 results
- **Provider:** [Anthropic](https://noometry.com/providers/anthropic)
- **Released:** February 17, 2026
- **Weights:** Proprietary
- **Reasoning:** Yes
- **Context window:** 1M
- **Max output:** 128K
- **Input price:** $3 / M
- **Output price:** $15 / M
- **Blended price:** $6 / M
- **Output speed:** Not measured
- **Value:** #191 of 219
- **Knowledge cutoff:** August 2025
- **Input:** text, image, pdf

## Category scores

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

Claude Sonnet 4.6 category scores

1.  Coding 46.3
2.  Agentic & Tool Use 39.1
3.  Reasoning 46.1
4.  Math 52.9
5.  Knowledge 51.7
6.  Multimodal 38.0
7.  Multilingual 54.4
8.  Instruction Following 77.4
9.  Long Context 45.3
10.  Writing & Preference 70.2
11.  020406080

Claude Sonnet 4.6 category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 46.3 | #67 | 7 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 39.1 | #28 | 8 |
| [Reasoning](https://noometry.com/best/reasoning) | 46.1 | #45 | 10 |
| [Math](https://noometry.com/best/math) | 52.9 | #49 | 3 |
| [Knowledge](https://noometry.com/best/knowledge) | 51.7 | #65 | 4 |
| [Multimodal](https://noometry.com/best/multimodal) | 38.0 | #68 | 2 |
| [Multilingual](https://noometry.com/best/multilingual) | 54.4 | #41 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 77.4 | #25 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 45.3 | #44 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 70.2 | #22 | 5 |

## Strengths and weaknesses

Categories where Claude Sonnet 4.6 places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Claude Sonnet 4.6: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Writing & Preference](https://noometry.com/best/writing) | 70.2 | +16.4 | #22 of 312, top 8% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 77.4 | +6.1 | #25 of 305, top 9% |
| [Reasoning](https://noometry.com/best/reasoning) | 46.1 | +22.5 | #45 of 350, top 13% |

### Weakest categories

Claude Sonnet 4.6: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multimodal](https://noometry.com/best/multimodal) | 38.0 | −0.5 | #68 of 128, top 54% |
| [Knowledge](https://noometry.com/best/knowledge) | 51.7 | +14.4 | #65 of 314, top 21% |
| [Coding](https://noometry.com/best/coding) | 46.3 | +7.6 | #67 of 340, top 20% |

## Closest competitors

The models ranked just above and below Claude Sonnet 4.6. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Claude Sonnet 4.6
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Muse Spark](https://noometry.com/models/muse-spark) | #46 | 50.6 | — | — | [Compare](https://noometry.com/compare/claude-sonnet-4-6-vs-muse-spark) |
| [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | #47 | 50.5 | $10 | 13 | [Compare](https://noometry.com/compare/claude-opus-4-5-vs-claude-sonnet-4-6) |
| [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) | #48 | 50.3 | $2 | — | [Compare](https://noometry.com/compare/claude-sonnet-4-6-vs-muse-spark-1-2) |
| [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) | #49 | 50.3 | $0.54 | — | [Compare](https://noometry.com/compare/claude-sonnet-4-6-vs-mimo-v2-6-pro) |
| [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) | #51 | 49.9 | $2 | — | [Compare](https://noometry.com/compare/claude-sonnet-4-6-vs-muse-spark-1-1) |
| [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | #52 | 49.5 | $0.20 | — | [Compare](https://noometry.com/compare/claude-haiku-5-5-vs-claude-sonnet-4-6) |
| [GPT-5.1](https://noometry.com/models/gpt-5-1) | #53 | 49.0 | $3.44 | — | [Compare](https://noometry.com/compare/claude-sonnet-4-6-vs-gpt-5-1) |
| [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | #54 | 48.6 | $1.56 | 61 | [Compare](https://noometry.com/compare/claude-sonnet-4-6-vs-grok-4-20) |

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 Sonnet 4.6 Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SWE-bench Verified](https://noometry.com/benchmarks/swe-bench-verified) | 75.2% | #14 of 32, top 44% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-21 |
| [DeepSWE](https://noometry.com/benchmarks/deepswe) | 29.9% | #28 of 29, top 97% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [FrontierCode](https://noometry.com/benchmarks/frontiercode) | 24.3% | #31 of 37, top 84% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1522 | #40 of 113, top 36% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [SciCode](https://noometry.com/benchmarks/scicode) | 46.8% | #56 of 121, top 47% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [WeirdML](https://noometry.com/benchmarks/weirdml) | 66.1% | #23 of 119, top 20% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1504 | #17 of 294, top 6% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 1,327 | #21 of 105, top 20% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

Claude Sonnet 4.6 Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Terminal-Bench](https://noometry.com/benchmarks/terminal-bench) | 53.4% | #15 of 41, top 37% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [APEX-Agents](https://noometry.com/benchmarks/apex-agents) | 43% | #34 of 49, top 70% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [OSWorld 2.0](https://noometry.com/benchmarks/osworld-2) | 8.3% |  | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [OSWorld 2.0](https://noometry.com/benchmarks/osworld-2) | 9.3% | #6 of 9, top 67% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [DeepResearch Bench](https://noometry.com/benchmarks/deepresearch-bench) | 54.9% | #2 of 24, top 9% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [DeepResearch Bench](https://noometry.com/benchmarks/deepresearch-bench) | 50.4% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [OSWorld](https://noometry.com/benchmarks/osworld) | 72.1% | Best of 8 |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ExploitBench](https://noometry.com/benchmarks/exploitbench) | 23.6% | #5 of 9, top 56% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GBAEval](https://noometry.com/benchmarks/gbaeval) | 48.8% | #8 of 23, top 35% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GDP.pdf](https://noometry.com/benchmarks/gdp-pdf) | 18% | #22 of 36, top 62% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Search](https://noometry.com/benchmarks/arena-search) | 1221 | #7 of 32, top 22% |  | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 |
| [Vending-Bench 2](https://noometry.com/benchmarks/vending-bench-2) | 7,204 | #15 of 60, top 25% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Claude Sonnet 4.6 Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 60.4% | #27 of 83, top 33% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 58.3% |  | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 76.4% |  |  | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 48% |  |  | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 80.9% | #33 of 91, top 37% | high reasoning | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 86.5% | #34 of 83, top 41% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 86% |  | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 3.1% | #64 of 134, top 48% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 13% | #72 of 129, top 56% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-20 |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 5% |  | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-13 |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 3% |  | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 8% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-13 |
| [Thematic Generalization](https://noometry.com/benchmarks/thematic-generalization) | 76.3% | #4 of 23, top 18% | high reasoning | [Lech Mazur benchmarks](https://github.com/lechmazur/generalization) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1484 | #25 of 297, top 9% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 14% |  |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 16% | #54 of 74, top 73% | low | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 89.9% | #42 of 151, top 28% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 46.5% | #29 of 125, top 24% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 152.24 | #43 of 213, top 21% |  | [Epoch AI](https://epoch.ai/eci) | 2026-02-17 |
| [ForecastBench](https://noometry.com/benchmarks/forecastbench) | 59.6 |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ForecastBench](https://noometry.com/benchmarks/forecastbench) | 62 | #3 of 72, top 5% | 16K | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Math

Claude Sonnet 4.6 Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 85.8% | #69 of 173, top 40% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-20 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 75.6% |  | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-13 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 71.1% |  | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 82.2% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-13 |
| [ProofBench](https://noometry.com/benchmarks/proofbench) | 45% | #33 of 77, top 43% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1462 | #51 of 285, top 18% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [FrontierMath (Feb 2025 set)](https://noometry.com/benchmarks/frontiermath-2025-02) | 32.4% | #17 of 68, top 25% | 16K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-20 |
| [FrontierMath Tier 4 (v1)](https://noometry.com/benchmarks/frontiermath-tier-4-v1) | 8.3% | #22 of 55, top 40% | 16K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-21 |

### Knowledge

Claude Sonnet 4.6 Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 87.4% | #54 of 186, top 30% | 32K | [Epoch AI](https://epoch.ai/benchmarks) | 2026-02-20 |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 83.3% |  | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-13 |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 78.8% |  | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 83.3% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-13 |
| [SimpleQA Verified](https://noometry.com/benchmarks/simpleqa-verified) | 35.5% | #47 of 77, top 62% | high | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-10 |
| [SimpleQA Verified](https://noometry.com/benchmarks/simpleqa-verified) | 32.8% |  | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [Vectara Hallucination Rate](https://noometry.com/benchmarks/vectara-hallucination) (lower is better) | 10.6% | #61 of 96, top 64% |  | [Vectara Hallucination Leaderboard](https://github.com/vectara/hallucination-leaderboard) |  |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1500 | #26 of 273, top 10% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

Claude Sonnet 4.6 Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1283 | #27 of 122, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |
| [Blueprint-Bench 2](https://noometry.com/benchmarks/blueprint-bench-2) | 6.7% | #25 of 31, top 81% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Document](https://noometry.com/benchmarks/arena-document) | 1482 | #8 of 38, top 22% |  | [LMArena](https://lmarena.ai/leaderboard/document) | 2026-09-13 |

### Multilingual

Claude Sonnet 4.6 Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1440 | #42 of 297, top 15% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1491 | #54 of 285, top 19% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1465 | #44 of 223, top 20% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1428 | #68 of 231, top 30% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1420 | #40 of 211, top 19% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1411 | #41 of 213, top 20% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1440 | #53 of 283, top 19% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1464 | #30 of 226, top 14% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Claude Sonnet 4.6 Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1475 | #22 of 298, top 8% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Claude Sonnet 4.6 Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1479 | #26 of 291, top 9% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Claude Sonnet 4.6 Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1458 | #35 of 297, top 12% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1435 | #45 of 295, top 16% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 1810 | #22 of 115, top 20% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |
| [EQ-Bench 4](https://noometry.com/benchmarks/eqbench-4) | 1207 | #16 of 28, top 58% |  | [EQ-Bench](https://eqbench.com/) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1464 | #36 of 295, top 13% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

Claude Sonnet 4.6 API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [anthropic](https://docs.anthropic.com/en/docs/about-claude/models) | $3 | $15 | $0.30 | 2026-10-10 |
| [azure](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models) | $3 | $15 | $0.30 | 2026-10-10 |
| [bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html) | $3.30 | $16.50 | $0.33 | 2026-10-10 |
| [openrouter](https://openrouter.ai/anthropic/claude-sonnet-4.6) | $3 | $15 | $0.30 | 2026-10-10 |
| [vertex](https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/claude) | $3 | $15 | $0.30 | 2026-10-10 |

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

## Compare Claude Sonnet 4.6

-   [Claude Sonnet 4.6 vs Claude Sonnet 4.5](https://noometry.com/compare/claude-sonnet-4-5-vs-claude-sonnet-4-6)
-   [Claude Sonnet 4.6 vs MiMo-V2.6-Pro](https://noometry.com/compare/claude-sonnet-4-6-vs-mimo-v2-6-pro)
-   [Claude Sonnet 4.6 vs Muse Spark 1.1](https://noometry.com/compare/claude-sonnet-4-6-vs-muse-spark-1-1)
-   [Claude Sonnet 4.6 vs Muse Spark 1.2](https://noometry.com/compare/claude-sonnet-4-6-vs-muse-spark-1-2)
-   [Claude Sonnet 4.6 vs Claude Haiku 5.5](https://noometry.com/compare/claude-haiku-5-5-vs-claude-sonnet-4-6)
-   [Claude Sonnet 4.6 vs Claude Opus 4.5](https://noometry.com/compare/claude-opus-4-5-vs-claude-sonnet-4-6)
-   [Claude Sonnet 4.6 vs GPT-5.1](https://noometry.com/compare/claude-sonnet-4-6-vs-gpt-5-1)
-   [Claude Sonnet 4.6 vs GPT-6 Astra](https://noometry.com/compare/claude-sonnet-4-6-vs-gpt-6-astra)
-   [Claude Sonnet 4.6 vs Gemini 3.8 Flash](https://noometry.com/compare/claude-sonnet-4-6-vs-gemini-3-8-flash)
-   [Claude Sonnet 4.6 vs Kimi K3](https://noometry.com/compare/claude-sonnet-4-6-vs-kimi-k3)
-   [Claude Sonnet 4.6 vs Grok 4.6](https://noometry.com/compare/claude-sonnet-4-6-vs-grok-4-6)
-   [Claude Sonnet 4.6 vs Qwen3.8 Max](https://noometry.com/compare/claude-sonnet-4-6-vs-qwen3-8-max)
-   [Claude Sonnet 4.6 vs GLM-5.3](https://noometry.com/compare/claude-sonnet-4-6-vs-glm-5-3)
-   [Claude Sonnet 4.6 vs Muse Spark 1.3](https://noometry.com/compare/claude-sonnet-4-6-vs-muse-spark-1-3)

## Other Anthropic models

-   [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1)69.0
-   [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5)68.6
-   [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

## Frequently asked questions

### How good is Claude Sonnet 4.6?

Claude Sonnet 4.6 by Anthropic ranks 50th of 354 ranked models on the Noometry Index as of October 2026, with a score of 50.3. Its strongest category is writing & preference, where it ranks 22nd. API pricing starts at $3 per million input tokens and $15 per million output tokens, with a 1M-token context window.

### How much does Claude Sonnet 4.6 cost?

Claude Sonnet 4.6 costs $3 per million input tokens and $15 per million output tokens on Anthropic's own API, with cached input at $0.30.

### What is Claude Sonnet 4.6's context window?

Claude Sonnet 4.6 accepts up to 1M tokens of input and can write up to 128K tokens in one response.

### Is Claude Sonnet 4.6 open source?

No. Claude Sonnet 4.6 is proprietary and available only through Anthropic's API and partner platforms.

### What are Claude Sonnet 4.6's strengths and weaknesses?

Relative to other ranked models, Claude Sonnet 4.6 places best in writing & preference, instruction following, reasoning and lowest in multimodal, knowledge, coding.

### What is Claude Sonnet 4.6 best at?

Its best category is writing & preference, where it ranks 22nd on Noometry.

### Cite this page

Noometry. (2026). Claude Sonnet 4.6 benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/claude-sonnet-4-6

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/claude-sonnet-4-6.md).