Anthropic, proprietary
Claude 3 Sonnet
Claude 3 Sonnet by Anthropic ranks 319th of 354 ranked models on the Noometry Index as of October 2026, with a score of 29.0. Its strongest category is multimodal, where it ranks 125th.
Last verified
Specifications
- Noometry rank
- #319 of 354
- Index score
- 29.0
- Evidence
- Confirmed 30 results
- Provider
- Anthropic
- Released
- February 29, 2024
- Weights
- Proprietary
- Reasoning
- Unknown
- Context window
- —
- Max output
- —
- Input price
- Not listed
- Output price
- Not listed
- Blended price
- Not listed
- Output speed
- Not measured
- Value
- Not ranked
- Knowledge cutoff
- Unknown
Category scores
Each category score combines every public result we have in that category.
- Coding 29.6
- Reasoning 20.5
- Math 10.7
- Knowledge 21.1
- Multimodal 25.2
- Multilingual 37.8
- Instruction Following 62.8
- Long Context 36.7
- Writing & Preference 42.1
| Category | Score | Rank | Results |
|---|---|---|---|
| Coding | 29.6 | #302 | 4 |
| Reasoning | 20.5 | #237 | 2 |
| Math | 10.7 | #310 | 3 |
| Knowledge | 21.1 | #276 | 2 |
| Multimodal | 25.2 | #125 | 1 |
| Multilingual | 37.8 | #234 | 1 |
| Instruction Following | 62.8 | #235 | 1 |
| Long Context | 36.7 | #228 | 1 |
| Writing & Preference | 42.1 | #238 | 3 |
Strengths and weaknesses
Categories where Claude 3 Sonnet places highest and lowest among the models ranked in each, with its score against that category's median.
Strongest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Reasoning | 20.5 | −3.1 | #237 of 350, top 68% |
| Writing & Preference | 42.1 | −11.7 | #238 of 312, top 77% |
| Long Context | 36.7 | −4.2 | #228 of 296, top 78% |
Weakest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Multimodal | 25.2 | −13.3 | #125 of 128, top 98% |
| Math | 10.7 | −25.9 | #310 of 327, top 95% |
| Coding | 29.6 | −9.1 | #302 of 340, top 89% |
Closest competitors
The models ranked just above and below Claude 3 Sonnet. When scores are this close, price and speed are often the better way to choose.
| Model | Rank | Score | Blended $/M | Speed | |
|---|---|---|---|---|---|
| Claude 3.5 Haiku | #315 | 29.2 | — | — | Compare |
| GPT-4 | #316 | 29.1 | $37.50 | — | Compare |
| Llama 2-7B | #317 | 29.1 | — | — | Compare |
| Granite 4.0 Micro | #318 | 29.0 | $0.0408 | — | Compare |
| Qwen2.5 7B Instruct | #320 | 29.0 | $0.31 | — | Compare |
| Llama 3.2 3B | #321 | 28.9 | $0.12 | — | Compare |
| Qwen1.5 4b Chat | #322 | 28.8 | — | — | Compare |
| Llama 3-70B | #323 | 28.8 | — | 104 | Compare |
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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
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| WeirdML | 10.2% | #113 of 119, top 95% | Epoch AI | ||
| BigCodeBench Instruct | 42.7% | #28 of 64, top 44% | BigCodeBench | 2024-02-29 | |
| LMArena Coding | 1223 | #233 of 294, top 80% | LMArena | 2026-10-08 | |
| BigCodeBench Complete | 53.8% | #24 of 66, top 37% | BigCodeBench | 2024-02-29 | |
| HumanEval+ | 64% | #24 of 45, top 54% | mar 2024 | EvalPlus | |
| MBPP+ | 69.3% | #15 of 38, top 40% | mar 2024 | EvalPlus |
Reasoning
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Hard Prompts | 1197 | #238 of 297, top 81% | LMArena | 2026-10-08 | |
| DTBench | 53.6% | #127 of 151, top 85% | Epoch AI | ||
| Epoch Capabilities Index | 120.7 | #166 of 213, top 78% | Epoch AI | 2024-02-29 | |
| WinoGrande | 75.1% | #24 of 43, top 56% | Epoch AI |
Math
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.5% | #158 of 173, top 92% | Epoch AI | 2025-02-25 | |
| LMArena Math | 1213 | #227 of 285, top 80% | LMArena | 2026-10-08 | |
| MATH Level 5 | 18.2% | #64 of 79, top 82% | Epoch AI | 2025-01-27 |
Knowledge
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| GPQA Diamond | 40.6% | #149 of 186, top 81% | Epoch AI | 2025-01-27 | |
| LMArena Expert | 1173 | #228 of 273, top 84% | LMArena | 2026-10-08 | |
| MMLU | 75.9% | #31 of 81, top 39% | Epoch AI |
Multimodal
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Vision | 984 | #119 of 122, top 98% | LMArena | 2026-10-09 |
Multilingual
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Non-English | 1205 | #234 of 297, top 79% | LMArena | 2026-10-08 | |
| LMArena Chinese | 1189 | #236 of 285, top 83% | LMArena | 2026-10-08 | |
| LMArena French | 1229 | #189 of 223, top 85% | LMArena | 2026-10-08 | |
| LMArena German | 1204 | #191 of 231, top 83% | LMArena | 2026-10-08 | |
| LMArena Japanese | 1131 | #180 of 211, top 86% | LMArena | 2026-10-08 | |
| LMArena Korean | 1128 | #186 of 213, top 88% | LMArena | 2026-10-08 | |
| LMArena Russian | 1227 | #226 of 283, top 80% | LMArena | 2026-10-08 | |
| LMArena Spanish | 1204 | #193 of 226, top 86% | LMArena | 2026-10-08 |
Instruction Following
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Instruction Following | 1199 | #236 of 298, top 80% | LMArena | 2026-10-08 |
Long Context
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Longer Query | 1211 | #238 of 291, top 82% | LMArena | 2026-10-08 |
Writing & Preference
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Text | 1218 | #238 of 297, top 81% | LMArena | 2026-10-08 | |
| LMArena Creative Writing | 1186 | #238 of 295, top 81% | LMArena | 2026-10-08 | |
| LMArena Multi-Turn | 1227 | #227 of 295, top 77% | LMArena | 2026-10-08 |
Compare Claude 3 Sonnet
- Claude 3 Sonnet vs Granite 4.0 Micro
- Claude 3 Sonnet vs Qwen2.5 7B Instruct
- Claude 3 Sonnet vs Llama 2-7B
- Claude 3 Sonnet vs Llama 3.2 3B
- Claude 3 Sonnet vs GPT-4
- Claude 3 Sonnet vs Qwen1.5 4b Chat
- Claude 3 Sonnet vs GPT-6 Astra
- Claude 3 Sonnet vs Gemini 3.8 Flash
- Claude 3 Sonnet vs Kimi K3
- Claude 3 Sonnet vs Grok 4.6
- Claude 3 Sonnet vs Qwen3.8 Max
- Claude 3 Sonnet vs GLM-5.3
- Claude 3 Sonnet vs Muse Spark 1.3
- Claude 3 Sonnet vs DeepSeek V4 Pro
Other Anthropic models
- Claude Fable 5.169.0
- Claude Opus 5.568.6
- Claude Opus 567.8
- Claude Fable 566.8
- Claude Sonnet 5.561.9
- Claude Opus 4.860.7
- Claude Opus 4.758.3
- Claude Opus 4.658.2
Frequently asked questions
How good is Claude 3 Sonnet?
Claude 3 Sonnet by Anthropic ranks 319th of 354 ranked models on the Noometry Index as of October 2026, with a score of 29.0. Its strongest category is multimodal, where it ranks 125th.
Is Claude 3 Sonnet open source?
No. Claude 3 Sonnet is proprietary and available only through Anthropic's API and partner platforms.
What are Claude 3 Sonnet's strengths and weaknesses?
Relative to other ranked models, Claude 3 Sonnet places best in reasoning, writing & preference, long context and lowest in multimodal, math, coding.
What is Claude 3 Sonnet best at?
Its best category is multimodal, where it ranks 125th on Noometry.