Anthropic

Claude Opus 5

Tool callingStructured outputReasoningImage inputFile input
Claude Opus 5 launch post cover

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

Official leaderboard
73.6%
pass@1 · highest published configuration
mini-swe-agent · max reasoning
pass@4
88.5%
Average cost / attempt
$11.84
Benchmark runs
4

All published configurations

Harness / reasoningpass@1pass@4Cost / attempt
mini-swe-agent · max73.6%88.5%$11.84
mini-swe-agent · xhigh73.2%85.8%$9.07
mini-swe-agent · high72.8%87.6%$6.08
mini-swe-agent · medium68.9%89.4%$3.29
mini-swe-agent · low58.1%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

EvaluationReported score and source
ARC-AGI-2
88.3%
Third-party evaluator · claude-opus-5_high
Reasoning effort: high
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
88.3%
Third-party evaluator · claude-opus-5_max
Reasoning effort: max
External evaluation via Epoch AI
Original-source terms apply
FrontierMath-Tier-4-v2-Private
73.2%
Epoch AI · claude-opus-5_max
Reasoning effort: max
Epoch AI evaluation
FrontierMath-Tiers-1-3-v2-Private
85.6%
Epoch AI · claude-opus-5_max
Reasoning effort: max
Epoch AI evaluation
GPQA diamond
92.9%
Epoch AI · claude-opus-5
Epoch AI evaluation
GPQA diamond
87.9%
Epoch AI · claude-opus-5_low
Reasoning effort: low
Epoch AI evaluation
GPQA diamond
93.9%
Epoch AI · claude-opus-5_max
Reasoning effort: max
Epoch AI evaluation
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
97.8%
Epoch AI · claude-opus-5
Epoch AI evaluation
OTIS Mock AIME 2024-2025
93.3%
Epoch AI · claude-opus-5_low
Reasoning effort: low
Epoch AI evaluation
OTIS Mock AIME 2024-2025
98.9%
Epoch AI · claude-opus-5_max
Reasoning effort: max
Epoch AI evaluation
SimpleQA Verified
59.9%
Epoch AI · claude-opus-5_max
Reasoning effort: max
Epoch AI evaluation

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

BenchmarkScoreEvaluation detailsEvidence
SWE-Bench Verified96 · resolved2026-07-24Source
SWE-Bench Pro79.2 · resolve rate2026-07-24Source
SWE-Bench Multilingual89.5 · resolve rate2026-07-24Source
SWE-Bench Multimodal59.4 · resolve rate2026-07-24Source
DeepSWE68.8 · resolve rate1.1 · 2026-07-24Source
FrontierCode53.4 · mean@5Main · medium effort · 1.1 · 2026-07-24Source
Frontier-Bench43.3 · mean rewardmini-SWE-agent · max effort · v0.1 · 2026-07-24Source
BrowseComp90.8 · accuracysingle agent · 2026-07-24Source
Humanity's Last Exam56.3 · accuracyno tools · 2026-07-24Source
Humanity's Last Exam64.7 · accuracywith tools · 2026-07-24Source
DeepSearchQA95 · F1max effort · 2026-07-24Source
OSWorld70.6 · success rate2.0 · 2026-07-24Source
GDPval-AA1861 · Elomax effort · v2 · 2026-07-24Source
AA-Briefcase1720 · Elomax effort · 2026-07-24Source
AutomationBench26 · success ratemax effort · 2026-07-24Source
ARC-AGI-197.5 · accuracymax effort · 2026-07-24Source
ARC-AGI-290.4 · accuracymax effort · 2026-07-24Source
ARC-AGI-330.2 · RHAEhigh effort · 2026-07-24Source
HealthBench Professional59.8 · scoremax effort · 2026-07-24Source
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

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
Amazon Bedrockamazon-bedrock1M$5.00$25.00$0.50$6.25100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrockBatch pricing1M$5.00$25.00$0.50$6.25100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Anthropicanthropic1M$5.00$25.00$0.50$6.25100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

AnthropicanthropicBatch pricing1M$5.00$25.00$0.50$6.25100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/global1M$5.00$25.00$0.50$6.2592.86%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/globalBatch pricing1M$5.00$25.00$0.50$6.25100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Claude Platform on AWSclaude-on-aws1M$5.00$25.00$0.50$6.25100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Claude Platform on AWSclaude-on-awsBatch pricing1M$5.00$25.00$0.50$6.25100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/global1M$5.00$25.00$0.50$6.25100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/globalBatch pricing1M$5.00$25.00$0.50$6.2598.72%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrock/eu-west-11M$5.50$27.50$0.55$6.88100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrock/us-east-11M$5.50$27.50$0.55$6.88—
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrock/eu-west-1Batch pricing1M$5.50$27.50$0.55$6.88100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrock/us-east-1Batch pricing1M$5.50$27.50$0.55$6.88—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/us1M$5.50$27.50$0.55$6.88—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/usBatch pricing1M$5.50$27.50$0.55$6.88—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/us1M$5.50$27.50$0.55$6.88—
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/europe1M$5.50$27.50$0.55$6.88100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/usBatch pricing1M$5.50$27.50$0.55$6.88—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/europeBatch pricing1M$5.50$27.50$0.55$6.88100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Anthropicanthropic/fast1M$10.00$50.00$1.00$12.50100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Anthropicanthropic/fastBatch pricing1M$10.00$50.00$1.00$12.50100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Text provenance

Transitioning

Claude 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