Anthropic, proprietary

# Claude Sonnet 5

> Claude Sonnet 5 by Anthropic, released June 2026. Ranked #29 of 354 with a Noometry Index of 54.6. API: $2 in / $10 out per M tokens. 1M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/claude-sonnet-5
- Last updated: 2026-10-10
- Title: Claude Sonnet 5 Benchmarks, Price & Rank (October 2026)

Claude Sonnet 5 by Anthropic ranks 29th of 354 ranked models on the Noometry Index as of October 2026, with a score of 54.6. Its strongest category is agentic & tool use, where it ranks 18th. API pricing starts at $2 per million input tokens and $10 per million output tokens, with a 1M-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #29 of 354
- **Index score:** 54.6
- **Evidence:** Confirmed 51 results
- **Provider:** [Anthropic](https://noometry.com/providers/anthropic)
- **Released:** June 29, 2026
- **Weights:** Proprietary
- **Reasoning:** Yes
- **Context window:** 1M
- **Max output:** 128K
- **Input price:** $2 / M
- **Output price:** $10 / M
- **Blended price:** $4 / M
- **Output speed:** Not measured
- **Value:** #167 of 219
- **Knowledge cutoff:** January 2026
- **Input:** text, image, pdf

## Category scores

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

Claude Sonnet 5 category scores

1.  Coding 55.5
2.  Agentic & Tool Use 42.8
3.  Reasoning 49.1
4.  Math 66.2
5.  Knowledge 55.6
6.  Multimodal 42.4
7.  Multilingual 53.8
8.  Instruction Following 76.3
9.  Long Context 44.8
10.  Writing & Preference 69.2
11.  304050607080

Claude Sonnet 5 category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 55.5 | #26 | 8 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 42.8 | #18 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 49.1 | #39 | 9 |
| [Math](https://noometry.com/best/math) | 66.2 | #27 | 5 |
| [Knowledge](https://noometry.com/best/knowledge) | 55.6 | #47 | 3 |
| [Multimodal](https://noometry.com/best/multimodal) | 42.4 | #31 | 2 |
| [Multilingual](https://noometry.com/best/multilingual) | 53.8 | #55 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 76.3 | #41 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 44.8 | #55 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 69.2 | #25 | 5 |

## Strengths and weaknesses

Categories where Claude Sonnet 5 places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Claude Sonnet 5: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 55.5 | +16.8 | #26 of 340, top 8% |
| [Writing & Preference](https://noometry.com/best/writing) | 69.2 | +15.5 | #25 of 312, top 9% |
| [Math](https://noometry.com/best/math) | 66.2 | +29.6 | #27 of 327, top 9% |

### Weakest categories

Claude Sonnet 5: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multimodal](https://noometry.com/best/multimodal) | 42.4 | +3.8 | #31 of 128, top 25% |
| [Long Context](https://noometry.com/best/long-context) | 44.8 | +3.8 | #55 of 296, top 19% |
| [Multilingual](https://noometry.com/best/multilingual) | 53.8 | +6.4 | #55 of 297, top 19% |

## Closest competitors

The models ranked just above and below Claude Sonnet 5. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Claude Sonnet 5
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Grok 4.5](https://noometry.com/models/grok-4-5) | #25 | 55.0 | $3 | 4 | [Compare](https://noometry.com/compare/claude-sonnet-5-vs-grok-4-5) |
| [GLM-5.3](https://noometry.com/models/glm-5-3) | #26 | 54.8 | $2.15 | — | [Compare](https://noometry.com/compare/claude-sonnet-5-vs-glm-5-3) |
| [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) | #27 | 54.8 | $2 | — | [Compare](https://noometry.com/compare/claude-sonnet-5-vs-muse-spark-1-3) |
| [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) | #28 | 54.8 | — | 1 | [Compare](https://noometry.com/compare/claude-sonnet-5-vs-gemini-3-pro) |
| [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | #30 | 54.6 | $0.45 | 12 | [Compare](https://noometry.com/compare/claude-sonnet-5-vs-gpt-5-6-luna) |
| [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) | #31 | 54.3 | $0.99 | 16 | [Compare](https://noometry.com/compare/claude-sonnet-5-vs-deepseek-v4-pro) |
| [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) | #32 | 54.2 | $3.38 | — | [Compare](https://noometry.com/compare/claude-sonnet-5-vs-gemini-3-5-flash) |
| [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) | #33 | 54.1 | $1.50 | — | [Compare](https://noometry.com/compare/claude-sonnet-5-vs-gemini-3-6-flash) |

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 5 Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [DeepSWE](https://noometry.com/benchmarks/deepswe) | 48.2% |  | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [DeepSWE](https://noometry.com/benchmarks/deepswe) | 30.5% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [DeepSWE](https://noometry.com/benchmarks/deepswe) | 53.8% | #20 of 29, top 69% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [DeepSWE](https://noometry.com/benchmarks/deepswe) | 39.8% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [DeepSWE](https://noometry.com/benchmarks/deepswe) | 49.7% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [FrontierCode](https://noometry.com/benchmarks/frontiercode) | 42.7% | #16 of 37, top 44% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 30.8% |  | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 24.1% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 34.1% | #14 of 14, top 100% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 28% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CursorBench](https://noometry.com/benchmarks/cursorbench) | 32% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1541 | #37 of 113, top 33% | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [SciCode](https://noometry.com/benchmarks/scicode) | 54.3% | #28 of 121, top 24% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 50.1% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 53.6% |  | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 51.6% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 54.1% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GSO](https://noometry.com/benchmarks/gso-bench) | 37.3% | #9 of 31, top 30% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [WeirdML](https://noometry.com/benchmarks/weirdml) | 68.8% | #20 of 119, top 17% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1483 | #42 of 294, top 15% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 1,463 | #18 of 105, top 18% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

Claude Sonnet 5 Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [APEX-Agents](https://noometry.com/benchmarks/apex-agents) | 54.5% | #20 of 49, top 41% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GBAEval](https://noometry.com/benchmarks/gbaeval) | 65.3% | #5 of 23, top 22% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Search](https://noometry.com/benchmarks/arena-search) | 1194 | #17 of 32, top 54% |  | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 |
| [Vending-Bench 2](https://noometry.com/benchmarks/vending-bench-2) | 6,378 | #17 of 60, top 29% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Claude Sonnet 5 Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SimpleBench](https://noometry.com/benchmarks/simplebench) | 60.6% | #24 of 77, top 32% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 75.1% | #42 of 91, top 47% | high reasoning | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 1.1% |  | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 4.6% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 16.9% | #33 of 134, top 25% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 8.6% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 15.4% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 16% |  | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-06-30 |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 35% | #29 of 129, top 23% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-06-30 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1461 | #47 of 297, top 16% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 16% |  |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 35% | #18 of 74, top 25% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-28 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 84.5% |  | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 73.6% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 92.5% | #27 of 151, top 18% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 79.2% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 89.5% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 50% | #21 of 125, top 17% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 49.6% |  | low | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 49.3% |  | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 49.7% |  | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 48.8% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Surface Evolver Bench](https://noometry.com/benchmarks/surface-evolver-bench) | 60% | #10 of 25, top 40% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Bench to the Future 3](https://noometry.com/benchmarks/btf-3) | 0.14 | #4 of 10, top 40% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 156.21 | #26 of 213, top 13% |  | [Epoch AI](https://epoch.ai/eci) | 2026-06-30 |
| [ForecastBench](https://noometry.com/benchmarks/forecastbench) | 61.1 | #16 of 72, top 23% | 16K | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Math

Claude Sonnet 5 Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 65.6% | #31 of 81, top 39% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-06-30 |
| [FrontierMath Tier 4](https://noometry.com/benchmarks/frontiermath-tier-4) | 29.3% | #29 of 63, top 47% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-06-30 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 80% |  | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 94.7% | #36 of 173, top 21% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-01 |
| [ProofBench](https://noometry.com/benchmarks/proofbench) | 77% | #12 of 77, top 16% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1467 | #43 of 285, top 16% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Claude Sonnet 5 Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 80.3% |  | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 90.5% | #35 of 186, top 19% | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-01 |
| [SimpleQA Verified](https://noometry.com/benchmarks/simpleqa-verified) | 33.7% | #52 of 77, top 68% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [SimpleQA Verified](https://noometry.com/benchmarks/simpleqa-verified) | 32.9% |  | xhigh | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1490 | #31 of 273, top 12% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

Claude Sonnet 5 Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1274 | #34 of 122, top 28% | high | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |
| [Blueprint-Bench 2](https://noometry.com/benchmarks/blueprint-bench-2) | 24.9% | #21 of 31, top 68% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Document](https://noometry.com/benchmarks/arena-document) | 1466 | #14 of 38, top 37% | high | [LMArena](https://lmarena.ai/leaderboard/document) | 2026-09-13 |

### Multilingual

Claude Sonnet 5 Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1431 | #56 of 297, top 19% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1477 | #67 of 285, top 24% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1460 | #50 of 223, top 23% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1440 | #55 of 231, top 24% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1422 | #38 of 211, top 19% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1411 | #43 of 213, top 21% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1451 | #42 of 283, top 15% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1437 | #70 of 226, top 31% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Claude Sonnet 5 Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1452 | #39 of 298, top 14% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Claude Sonnet 5 Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1463 | #37 of 291, top 13% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Claude Sonnet 5 Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1442 | #57 of 297, top 20% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1416 | #57 of 295, top 20% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 1794 | #25 of 115, top 22% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |
| [EQ-Bench 4](https://noometry.com/benchmarks/eqbench-4) | 1236 | #10 of 28, top 36% |  | [EQ-Bench](https://eqbench.com/) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1454 | #48 of 295, top 17% | high | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

Claude Sonnet 5 API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [anthropic](https://docs.anthropic.com/en/docs/about-claude/models) | $2 | $10 | $0.20 | 2026-10-10 |
| [azure](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models) | $2 | $10 | $0.20 | 2026-10-10 |
| [bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html) | $2 | $10 | $0.20 | 2026-10-10 |
| [openrouter](https://openrouter.ai/anthropic/claude-sonnet-5) | $2 | $10 | $0.20 | 2026-10-10 |
| [vertex](https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/claude) | $2 | $10 | $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 Sonnet 5

-   [Claude Sonnet 5 vs Claude Sonnet 4.6](https://noometry.com/compare/claude-sonnet-4-6-vs-claude-sonnet-5)
-   [Claude Sonnet 5 vs Gemini 3 Pro](https://noometry.com/compare/claude-sonnet-5-vs-gemini-3-pro)
-   [Claude Sonnet 5 vs GPT-5.6 Luna](https://noometry.com/compare/claude-sonnet-5-vs-gpt-5-6-luna)
-   [Claude Sonnet 5 vs Muse Spark 1.3](https://noometry.com/compare/claude-sonnet-5-vs-muse-spark-1-3)
-   [Claude Sonnet 5 vs DeepSeek V4 Pro](https://noometry.com/compare/claude-sonnet-5-vs-deepseek-v4-pro)
-   [Claude Sonnet 5 vs GLM-5.3](https://noometry.com/compare/claude-sonnet-5-vs-glm-5-3)
-   [Claude Sonnet 5 vs Gemini 3.5 Flash](https://noometry.com/compare/claude-sonnet-5-vs-gemini-3-5-flash)
-   [Claude Sonnet 5 vs GPT-6 Astra](https://noometry.com/compare/claude-sonnet-5-vs-gpt-6-astra)
-   [Claude Sonnet 5 vs Gemini 3.8 Flash](https://noometry.com/compare/claude-sonnet-5-vs-gemini-3-8-flash)
-   [Claude Sonnet 5 vs Kimi K3](https://noometry.com/compare/claude-sonnet-5-vs-kimi-k3)
-   [Claude Sonnet 5 vs Grok 4.6](https://noometry.com/compare/claude-sonnet-5-vs-grok-4-6)
-   [Claude Sonnet 5 vs Qwen3.8 Max](https://noometry.com/compare/claude-sonnet-5-vs-qwen3-8-max)
-   [Claude Sonnet 5 vs MiMo-V2.6-Pro](https://noometry.com/compare/claude-sonnet-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 5.5](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 5?

Claude Sonnet 5 by Anthropic ranks 29th of 354 ranked models on the Noometry Index as of October 2026, with a score of 54.6. Its strongest category is agentic & tool use, where it ranks 18th. API pricing starts at $2 per million input tokens and $10 per million output tokens, with a 1M-token context window.

### How much does Claude Sonnet 5 cost?

Claude Sonnet 5 costs $2 per million input tokens and $10 per million output tokens on Anthropic's own API, with cached input at $0.20.

### What is Claude Sonnet 5's context window?

Claude Sonnet 5 accepts up to 1M tokens of input and can write up to 128K tokens in one response.

### Is Claude Sonnet 5 open source?

No. Claude Sonnet 5 is proprietary and available only through Anthropic's API and partner platforms.

### What are Claude Sonnet 5's strengths and weaknesses?

Relative to other ranked models, Claude Sonnet 5 places best in coding, writing & preference, math and lowest in multimodal, long context, multilingual.

### What is Claude Sonnet 5 best at?

Its best category is agentic & tool use, where it ranks 18th on Noometry.

### Cite this page

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

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