AnthropicReasoning modelClaude Sonnet 5
Best configuration ranks #72 of 610 on the BenchLeader Index at 61.2 ±2.9. Last measured 5 Sept 2026. Released 30 Jun 2026.
- Blended price
- $4.00/M
- $2.00 in · $10.00 out
- Output speed
- 79 tok/s
- First answer
- 193 s
- first token 2.75 s
- Context
- 1M
- Overall index61
- Reasoning59
- Coding62
- Agents & tools61
- Knowledge64
- Human preference56
- Multimodal62
- Long context68
- Composite77
Reasoning-effort configurations
The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Default” means the publisher did not say which setting was used.
| Effort | Index | Rank | Speed | First answer | Chat reply cost | Categories |
|---|---|---|---|---|---|---|
| no reasoning | – | – | 59 tok/s | 1.01 s | $0.0038 | Composite 65 · Knowledge 64 · Long context 61 · Multimodal 56 |
| low | – | – | 62 tok/s | 1.39 s | $0.0038 | Composite 60 · Knowledge 60 · Long context 60 |
| medium | – | – | 59 tok/s | 1.48 s | $0.0038 | Composite 65 · Knowledge 61 · Long context 63 |
| high | 60.5 | #84 | 63 tok/s | 14 s | $0.0038 | Agents & tools 62 · Coding 62 · Human preference 66 · Knowledge 62 · Long context 65 · Multimodal 63 · Reasoning 67 |
| xhigh | 57.3 | #143 | 66 tok/s | 36 s | $0.0038 | Composite 55 · Knowledge 55 · Long context 65 · Maths 66 · Reasoning 65 |
| max | 50.7 | #281 | 79 tok/s | 193 s | $0.0038 | Agents & tools 28 · Coding 63 · Knowledge 45 · Maths 61 · Reasoning 59 |
| defaultbest | 61.2 | #72 | 79 tok/s | 193 s | $0.0038 | Agents & tools 61 · Coding 62 · Composite 77 · Human preference 56 · Knowledge 64 · Long context 68 · Multimodal 62 · Reasoning 59 |
Benchmark results
One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | no reasoning | low | medium | high | xhigh | max | default | Source | Trend |
|---|---|---|---|---|---|---|---|---|---|
| GPQA Diamond | – | – | – | – | 90.5%#35 | 80.3%#112 | – | Epoch AI Benchmarking Hub | |
| SimpleBench | – | – | – | – | – | – | 60.6%#29 | SimpleBench | |
| LMArena Hard Prompts | – | – | – | 1490#41 | – | – | – | LMArena | |
| LiveBench Reasoningnot in index | – | – | – | – | 88.7%#14 | – | – | LiveBench | |
| GPQA Diamond (AA)not in index | 80.0%#188 | – | – | – | – | – | 91.1%#50 | Artificial Analysis | |
| Humanity's Last Exam (AA)not in index | 19.1%#168 | 21.9%#151 | 30.0%#104 | 35.7%#75 | 39.0%#60 | – | 41.3%#48 | Artificial Analysis | |
| GPQA Diamond (Vals)not in index | – | – | – | – | – | – | 88.9%#31 | Vals AI |
Coding
| Benchmark | no reasoning | low | medium | high | xhigh | max | default | Source | Trend |
|---|---|---|---|---|---|---|---|---|---|
| SciCode | – | – | – | 48.6%#69 | – | 53.6%#37 | – | SciCode | |
| WeirdML | – | – | – | 68.8%#32 | – | – | – | WeirdML | |
| FrontierCode | – | – | – | – | – | – | 42.7%#11 | Cognition | |
| GSO-Bench | – | – | – | – | – | – | 37.3%#6 | GSO-Bench | |
| LMArena Coding | – | – | – | 1521#24 | – | – | – | LMArena | |
| LMArena WebDev | – | – | – | 1538#28 | – | – | – | LMArena | |
| LiveBench Codingnot in index | – | – | – | – | 80.7%#12 | – | – | LiveBench | |
| SciCode (AA)not in index | – | 50.1%#68 | 51.6%#56 | 54.3%#39 | 54.0%#42 | – | 54.3%#39 | Artificial Analysis | |
| LiveCodeBench | – | – | – | – | – | – | 82.4%#51 | Vals AI | |
| SWE-bench (Vals)not in index | – | – | – | – | – | – | 79.6%#25 | Vals AI |
Agents & tools
| Benchmark | no reasoning | low | medium | high | xhigh | max | default | Source | Trend |
|---|---|---|---|---|---|---|---|---|---|
| Terminal-Bench | – | – | – | – | – | 12.4%#61 | – | Terminal-Bench | |
| APEX-Agents | – | – | – | – | – | – | 32.5%#23 | Mercor | |
| LMArena Agent | – | – | – | 6.3#9 | – | – | – | LMArena | |
| LiveBench Agentic Codingnot in index | – | – | – | – | 59.4%#13 | – | – | LiveBench | |
| Terminal-Bench 2.1 (Vals) | – | – | – | – | – | – | 74.5%#14 | Vals AI |
Maths
| Benchmark | no reasoning | low | medium | high | xhigh | max | default | Source | Trend |
|---|---|---|---|---|---|---|---|---|---|
| FrontierMath Tiers 1–3 | – | – | – | – | – | 65.6%#23 | – | Epoch AI Benchmarking Hub | |
| FrontierMath Tier 4 | – | – | – | – | – | 29.3%#28 | – | Epoch AI Benchmarking Hub | |
| OTIS Mock AIME | – | – | – | – | 94.7%#38 | 80.0%#99 | – | Epoch AI Benchmarking Hub | |
| ProofBench | – | – | – | – | – | 77.0%#7 | – | Vals AI | |
| LiveBench Mathematicsnot in index | – | – | – | – | 92.9%#14 | – | – | LiveBench |
Knowledge
| Benchmark | no reasoning | low | medium | high | xhigh | max | default | Source | Trend |
|---|---|---|---|---|---|---|---|---|---|
| SimpleQA Verified | – | – | – | – | 32.9%#50 | 33.7%#47 | – | Epoch AI Benchmarking Hub | |
| LiveBench Data Analysisnot in index | – | – | – | – | 71.7%#35 | – | – | LiveBench | |
| AA-Omniscience | -0.7#98 | -8.2#128 | -6.9#123 | -3.7#110 | 3.2#81 | – | 16.4#50 | Artificial Analysis | |
| MMLU-Pro | – | – | – | – | – | – | 87.5%#26 | Vals AI | |
| LegalBench | – | – | – | – | – | – | 83.9%#42 | Vals AI | |
| CorpFin | – | – | – | – | – | – | 67.0%#14 | Vals AI | |
| TaxEval | – | – | – | – | – | – | 75.6%#14 | Vals AI |
Instruction following
| Benchmark | no reasoning | low | medium | high | xhigh | max | default | Source | Trend |
|---|---|---|---|---|---|---|---|---|---|
| LiveBench Languagenot in index | – | – | – | – | 75.0%#39 | – | – | LiveBench |
Human preference
| Benchmark | no reasoning | low | medium | high | xhigh | max | default | Source | Trend |
|---|---|---|---|---|---|---|---|---|---|
| LMArena Text | – | – | – | 1462#48 | – | – | – | LMArena | |
| EQ-Bench 4 | – | – | – | – | – | – | 1236#10 | EQ-Bench |
Multimodal
| Benchmark | no reasoning | low | medium | high | xhigh | max | default | Source | Trend |
|---|---|---|---|---|---|---|---|---|---|
| LMArena Vision | – | – | – | 1278#29 | – | – | – | LMArena | |
| MMMU-Pro | 71.9%#104 | – | – | – | – | – | 77.3%#59 | Artificial Analysis |
Long context
| Benchmark | no reasoning | low | medium | high | xhigh | max | default | Source | Trend |
|---|---|---|---|---|---|---|---|---|---|
| AA-LCR | 70.0%#161 | 67.3%#182 | 73.7%#125 | 76.7%#96 | 76.7%#96 | – | 82.0%#25 | Artificial Analysis |
Composite
| Benchmark | no reasoning | low | medium | high | xhigh | max | default | Source | Trend |
|---|---|---|---|---|---|---|---|---|---|
| Epoch Capabilities Indexnot in index | – | – | – | – | – | – | 156.2#19 | Epoch AI Benchmarking Hub | |
| LiveBench | – | – | – | – | 76.0%#24 | – | – | LiveBench | |
| AA Intelligence Index | 28.9#86 | 24.7#120 | 28.4#89 | – | – | – | 38.4#45 | Artificial Analysis | |
| Vals Indexnot in index | – | – | – | – | – | – | 59.6#11 | Vals AI |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| Google Vertex (Europe) | 81 tok/s | 3.68 s | $2.20 | $11.00 | 1M | – |
| Google Vertex (Global) | 69 tok/s | 3.52 s | $2.00 | $10.00 | 1M | – |
| Amazon Bedrock (US) | 67 tok/s | 4.43 s | $2.20 | $11.00 | 1M | – |
| Anthropic | 66 tok/s | 1.98 s | $2.00 | $10.00 | 1M | – |
| Azure (US) | 64 tok/s | 0.95 s | $2.00 | $10.00 | 1M | – |
| Azure | 62 tok/s | 1.19 s | $2.00 | $10.00 | 1M | – |
| Claude Platform on AWS | 51 tok/s | 3.80 s | $2.00 | $10.00 | 1M | – |
| Amazon Bedrock (Global) | 37 tok/s | 1.91 s | $2.00 | $10.00 | 1M | – |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.200 per 1M. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0038 | $0.0033 | 3.3 min |
| Summarise a 30-page report | 12,000 / 600 | $0.030 | $0.014 | 3.3 min |
| Code edit | 6,000 / 1,500 | $0.027 | $0.019 | 3.5 min |
| Agentic coding session | 60,000 / 4,000 | $0.160 | $0.079 | 4.1 min |
| Structured extraction | 2,000 / 200 | $0.0060 | $0.0033 | 3.3 min |
See also
Data as of 9 Sept 2026. Compare these configurations.