Claude Opus 5

Strongest Claude Opus model for coding, agents, and professional work
- Context
- 1M
- Released
- 2mo ago
- Input / 1M tokens
- $5.00
- Output / 1M tokens
- $25.00
- Cached input / 1M tokens
- $0.50
- Cache write / 1M tokens
- $6.25
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
DeepSWE 1.1
Primary coding-agent benchmark · 113 tasks · Data generated 2026-09-22
- pass@4
- 88.5%
- Average cost / attempt
- $11.84
- Benchmark runs
- 4
All published configurations
| Harness / reasoning | pass@1 | pass@4 | Cost / attempt |
|---|---|---|---|
| mini-swe-agent · max | 73.6% | 88.5% | $11.84 |
| mini-swe-agent · xhigh | 73.2% | 85.8% | $9.07 |
| mini-swe-agent · high | 72.8% | 87.6% | $6.08 |
| mini-swe-agent · medium | 68.9% | 89.4% | $3.29 |
| mini-swe-agent · low | 58.1% | 85.0% | $1.66 |
pass@1 is the success rate across scored attempts; pass@4 is the share of tasks solved in at least one of four attempts. Costs are reported by DeepSWE for each configuration. These results are not directly comparable to evaluations using different harnesses. Official source JSON.
Other published benchmarks
| Evaluation | Reported score and source |
|---|---|
| ARC-AGI-2 | 88.3% Third-party evaluator · claude-opus-5_high Reasoning effort: high External evaluation via Epoch AIOriginal-source terms apply |
| ARC-AGI-2 | 88.3% Third-party evaluator · claude-opus-5_max Reasoning effort: max External evaluation via Epoch AIOriginal-source terms apply |
| FrontierMath-Tier-4-v2-Private | |
| FrontierMath-Tiers-1-3-v2-Private | |
| GPQA diamond | |
| GPQA diamond | |
| GPQA diamond | |
| OSWorld 2.0 | 29.0% https://osworld-v2.xlang.ai/ · claude-opus-5_high Reasoning effort: high https://osworld-v2.xlang.ai/Original-source terms apply |
| OSWorld 2.0 | 22.3% https://osworld-v2.xlang.ai/ · claude-opus-5_low Reasoning effort: low https://osworld-v2.xlang.ai/Original-source terms apply |
| OSWorld 2.0 | 31.4% https://osworld-v2.xlang.ai/ · claude-opus-5_max Reasoning effort: max https://osworld-v2.xlang.ai/Original-source terms apply |
| OSWorld 2.0 | 25.3% https://osworld-v2.xlang.ai/ · claude-opus-5_medium Reasoning effort: medium https://osworld-v2.xlang.ai/Original-source terms apply |
| OSWorld 2.0 | 30.2% https://osworld-v2.xlang.ai/ · claude-opus-5_xhigh Reasoning effort: xhigh https://osworld-v2.xlang.ai/Original-source terms apply |
| OTIS Mock AIME 2024-2025 | |
| OTIS Mock AIME 2024-2025 | |
| OTIS Mock AIME 2024-2025 | |
| SimpleQA Verified |
Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.
Specifications
- Developer
- Anthropic
- Model family
- Claude
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- July 24, 2026
- Model ID
anthropic/claude-opus-5- Openness
- Closed
- License
- —
- Input modalities
- text, image, file
- Output modalities
- text
- Modality
- text+image+file->text
- Tokenizer
- Claude
- Max output tokens
- 128K
- Knowledge cutoff
- 2026-05
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- anthropic/claude-opus-5
- Source family
- claude-opus
- Last updated
- 2026-07-24
- Knowledge cutoff
- 2026-05
- Model context
- 1M
- Model output limit
- 128K
- Open weights
- No
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature control
- No
Published benchmarks
| Benchmark | Score | Evaluation details | Evidence |
|---|---|---|---|
| SWE-Bench Verified | 96 · resolved | 2026-07-24 | Source |
| SWE-Bench Pro | 79.2 · resolve rate | 2026-07-24 | Source |
| SWE-Bench Multilingual | 89.5 · resolve rate | 2026-07-24 | Source |
| SWE-Bench Multimodal | 59.4 · resolve rate | 2026-07-24 | Source |
| DeepSWE | 68.8 · resolve rate | 1.1 · 2026-07-24 | Source |
| FrontierCode | 53.4 · mean@5 | Main · medium effort · 1.1 · 2026-07-24 | Source |
| Frontier-Bench | 43.3 · mean reward | mini-SWE-agent · max effort · v0.1 · 2026-07-24 | Source |
| BrowseComp | 90.8 · accuracy | single agent · 2026-07-24 | Source |
| Humanity's Last Exam | 56.3 · accuracy | no tools · 2026-07-24 | Source |
| Humanity's Last Exam | 64.7 · accuracy | with tools · 2026-07-24 | Source |
| DeepSearchQA | 95 · F1 | max effort · 2026-07-24 | Source |
| OSWorld | 70.6 · success rate | 2.0 · 2026-07-24 | Source |
| GDPval-AA | 1861 · Elo | max effort · v2 · 2026-07-24 | Source |
| AA-Briefcase | 1720 · Elo | max effort · 2026-07-24 | Source |
| AutomationBench | 26 · success rate | max effort · 2026-07-24 | Source |
| ARC-AGI-1 | 97.5 · accuracy | max effort · 2026-07-24 | Source |
| ARC-AGI-2 | 90.4 · accuracy | max effort · 2026-07-24 | Source |
| ARC-AGI-3 | 30.2 · RHAE | high effort · 2026-07-24 | Source |
| HealthBench Professional | 59.8 · score | max effort · 2026-07-24 | Source |
Complete source record (JSON)
{
"id": "anthropic/claude-opus-5",
"name": "Claude Opus 5",
"description": "Strongest Claude Opus model for coding, agents, and professional work",
"family": "claude-opus",
"last_updated": "2026-07-24",
"knowledge": "2026-05",
"attachment": true,
"reasoning": true,
"tool_call": true,
"temperature": false,
"modalities": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"limit": {
"context": 1000000,
"output": 128000
},
"benchmarks": [
{
"name": "SWE-Bench Verified",
"score": 96,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "resolved",
"date": "2026-07-24"
},
{
"name": "SWE-Bench Pro",
"score": 79.2,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "resolve rate",
"date": "2026-07-24"
},
{
"name": "SWE-Bench Multilingual",
"score": 89.5,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "resolve rate",
"date": "2026-07-24"
},
{
"name": "SWE-Bench Multimodal",
"score": 59.4,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "resolve rate",
"date": "2026-07-24"
},
{
"name": "DeepSWE",
"score": 68.8,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "resolve rate",
"version": "1.1",
"date": "2026-07-24"
},
{
"name": "FrontierCode",
"score": 53.4,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "mean@5",
"variant": "medium effort",
"dataset": "Main",
"version": "1.1",
"date": "2026-07-24"
},
{
"name": "Frontier-Bench",
"score": 43.3,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "mean reward",
"harness": "mini-SWE-agent",
"variant": "max effort",
"version": "v0.1",
"date": "2026-07-24"
},
{
"name": "BrowseComp",
"score": 90.8,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "accuracy",
"variant": "single agent",
"date": "2026-07-24"
},
{
"name": "Humanity's Last Exam",
"score": 56.3,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "accuracy",
"variant": "no tools",
"date": "2026-07-24"
},
{
"name": "Humanity's Last Exam",
"score": 64.7,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "accuracy",
"variant": "with tools",
"date": "2026-07-24"
},
{
"name": "DeepSearchQA",
"score": 95,
"source": "https://www.anthropic.com/news/claude-opus-5",
"metric": "F1",
"variant": "max effort",
"date": "2026-07-24"
},
{
"name": "OSWorld",
"score": 70.6,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "success rate",
"version": "2.0",
"date": "2026-07-24"
},
{
"name": "GDPval-AA",
"score": 1861,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "Elo",
"variant": "max effort",
"version": "v2",
"date": "2026-07-24"
},
{
"name": "AA-Briefcase",
"score": 1720,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "Elo",
"variant": "max effort",
"date": "2026-07-24"
},
{
"name": "AutomationBench",
"score": 26,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "success rate",
"variant": "max effort",
"date": "2026-07-24"
},
{
"name": "ARC-AGI-1",
"score": 97.5,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "accuracy",
"variant": "max effort",
"date": "2026-07-24"
},
{
"name": "ARC-AGI-2",
"score": 90.4,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "accuracy",
"variant": "max effort",
"date": "2026-07-24"
},
{
"name": "ARC-AGI-3",
"score": 30.2,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "RHAE",
"variant": "high effort",
"date": "2026-07-24"
},
{
"name": "HealthBench Professional",
"score": 59.8,
"source": "https://www.anthropic.com/claude-opus-5-system-card",
"metric": "score",
"variant": "max effort",
"date": "2026-07-24"
}
],
"release_date": "2026-07-24",
"open_weights": false
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| amazon-bedrock | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| amazon-bedrockBatch pricing | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| anthropic | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| anthropicBatch pricing | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azure/global | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 92.86% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azure/globalBatch pricing | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 91.76% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| claude-on-aws | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| claude-on-awsBatch pricing | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| google-vertex/global | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| google-vertex/globalBatch pricing | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| amazon-bedrock/eu-west-1 | 1M | $5.50 | $27.50 | $0.55 | $6.88 | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| amazon-bedrock/us-east-1 | 1M | $5.50 | $27.50 | $0.55 | $6.88 | — | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| amazon-bedrock/eu-west-1Batch pricing | 1M | $5.50 | $27.50 | $0.55 | $6.88 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| amazon-bedrock/us-east-1Batch pricing | 1M | $5.50 | $27.50 | $0.55 | $6.88 | — | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azure/us | 1M | $5.50 | $27.50 | $0.55 | $6.88 | — | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azure/usBatch pricing | 1M | $5.50 | $27.50 | $0.55 | $6.88 | — | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| google-vertex/us | 1M | $5.50 | $27.50 | $0.55 | $6.88 | — | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| google-vertex/europe | 1M | $5.50 | $27.50 | $0.55 | $6.88 | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| google-vertex/usBatch pricing | 1M | $5.50 | $27.50 | $0.55 | $6.88 | — | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| google-vertex/europeBatch pricing | 1M | $5.50 | $27.50 | $0.55 | $6.88 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| anthropic/fast | 1M | $10.00 | $50.00 | $1.00 | $12.50 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| anthropic/fastBatch pricing | 1M | $10.00 | $50.00 | $1.00 | $12.50 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Text provenance
TransitioningClaude text watermarking
Anthropic says Claude models launched before August 2, 2026 have a transition period and are being moved to the same watermarking system over time.
Official explanation