Anthropic

Claude Opus 4.6

Tool callingStructured outputReasoningImage inputFile input
Claude Opus 4.6 launch post cover

High-end Claude for difficult coding, planning, and slower expert reasoning

Context
1M
Released
8mo 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.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

Other published benchmarks

EvaluationReported score and source
ARC-AGI-2
64.6%
Third-party evaluator · claude-opus-4-6_120K
Thinking budget: 120K
External evaluation via Epoch AI
Original-source terms apply
FrontierMath-2025-02-28-Private
38.3%
Epoch AI · claude-opus-4-6
Epoch AI evaluation
FrontierMath-2025-02-28-Private
40.0%
Epoch AI · claude-opus-4-6_32K
Thinking budget: 32K
Epoch AI evaluation
FrontierMath-2025-02-28-Private
39.7%
Epoch AI · claude-opus-4-6_64K
Thinking budget: 64K
Epoch AI evaluation
FrontierMath-2025-02-28-Private
40.7%
Epoch AI · claude-opus-4-6_max
Reasoning effort: max
Epoch AI evaluation
FrontierMath-Tier-4-2025-07-01-Private
14.6%
Epoch AI · claude-opus-4-6
Epoch AI evaluation
FrontierMath-Tier-4-2025-07-01-Private
20.8%
Epoch AI · claude-opus-4-6_32K
Thinking budget: 32K
Epoch AI evaluation
FrontierMath-Tier-4-2025-07-01-Private
20.8%
Epoch AI · claude-opus-4-6_64K
Thinking budget: 64K
Epoch AI evaluation
FrontierMath-Tier-4-2025-07-01-Private
22.9%
Epoch AI · claude-opus-4-6_max
Reasoning effort: max
Epoch AI evaluation
FrontierMath-Tier-4-v2-Private
26.8%
Epoch AI · claude-opus-4-6_max
Reasoning effort: max
Epoch AI evaluation
FrontierMath-Tiers-1-3-v2-Private
66.0%
Epoch AI · claude-opus-4-6_max
Reasoning effort: max
Epoch AI evaluation
GPQA diamond
90.5%
Epoch AI · claude-opus-4-6_32K
Thinking budget: 32K
Epoch AI evaluation
GPQA diamond
88.8%
Epoch AI · claude-opus-4-6_64K
Thinking budget: 64K
Epoch AI evaluation
GPQA diamond
88.4%
Epoch AI · claude-opus-4-6_max
Reasoning effort: max
Epoch AI evaluation
OTIS Mock AIME 2024-2025
93.1%
Epoch AI · claude-opus-4-6_32K
Thinking budget: 32K
Epoch AI evaluation
OTIS Mock AIME 2024-2025
94.4%
Epoch AI · claude-opus-4-6_64K
Thinking budget: 64K
Epoch AI evaluation
OTIS Mock AIME 2024-2025
91.1%
Epoch AI · claude-opus-4-6_max
Reasoning effort: max
Epoch AI evaluation
SimpleQA Verified
47.0%
Epoch AI · claude-opus-4-6_max
Reasoning effort: max
Epoch AI evaluation
SWE-Bench verified
75.6%
Epoch AI · claude-opus-4-6
Epoch AI evaluation
Terminal Bench
69.9%
Terminal-Bench v2 Leaderboard · claude-opus-4-6
Agent: Droid
Terminal-Bench v2 Leaderboard
Original-source terms apply
Terminal Bench
75.3%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · claude-opus-4-6_unknown
Agent: Capy · Reasoning effort: unknown
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
58.0%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · claude-opus-4-6_unknown
Agent: Claude Code · Reasoning effort: unknown
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
66.9%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · claude-opus-4-6_unknown
Agent: Crux · Reasoning effort: unknown
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
69.9%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · claude-opus-4-6_unknown
Agent: Droid · Reasoning effort: unknown
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
79.8%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · claude-opus-4-6_unknown
Agent: ForgeCode · Reasoning effort: unknown
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
72.1%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · claude-opus-4-6_unknown
Agent: MAYA-V2 · Reasoning effort: unknown
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
76.4%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · claude-opus-4-6_unknown
Agent: Meta-Harness · Reasoning effort: unknown
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
66.5%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · claude-opus-4-6_unknown
Agent: Mux · Reasoning effort: unknown
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
62.9%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · claude-opus-4-6_unknown
Agent: Terminus 2 · Reasoning effort: unknown
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
74.7%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · claude-opus-4-6_unknown
Agent: Terminus-KIRA · Reasoning effort: unknown
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
71.9%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · claude-opus-4-6_unknown
Agent: TongAgents · Reasoning effort: unknown
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply

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
February 5, 2026
Model ID
anthropic/claude-opus-4.6
Openness
Closed
License
—
Input modalities
text, image, file
Output modalities
text
Modality
text+image+file->text
Tokenizer
Claude
Max output tokens
128K
Knowledge cutoff
2025-05-31
Hugging Face
—
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
anthropic/claude-opus-4-6
Source family
claude-opus
Last updated
2026-03-13
Knowledge cutoff
2025-05-31
Model context
1M
Model output limit
128K
Open weights
No
File attachments
Yes
Reasoning
Yes
Tool calling
Yes
Temperature control
Yes

Published benchmarks

BenchmarkScoreEvaluation detailsEvidence
SWE-Bench Pro51.9 · resolve ratepublicSource
SWE-Atlas Codebase QnA33.3 · scoreClaude CodeSource
SWE-Atlas Codebase QnA30 · scoreMini-SWE-AgentSource
SWE-Atlas Refactoring35.58 · scoreClaude CodeSource
SWE-Atlas Test Writing36.67 · scoreClaude CodeSource
SWE-Atlas Test Writing36.08 · scoreMini-SWE-AgentSource
Artificial Analysis Coding Agent Index51.3 · average pass@1Claude Code · mediumSource
SWE-Atlas Codebase QnA71.9 · pass@1Claude Code · mediumSource
SWE-Bench Pro11.8 · pass@1Claude Code · hard-aa · mediumSource
Terminal-Bench70.2 · pass@1Claude Code · medium · 2.1Source
Complete source record (JSON)
{
  "id": "anthropic/claude-opus-4-6",
  "name": "Claude Opus 4.6",
  "description": "High-end Claude for difficult coding, planning, and slower expert reasoning",
  "family": "claude-opus",
  "last_updated": "2026-03-13",
  "knowledge": "2025-05-31",
  "attachment": true,
  "reasoning": true,
  "tool_call": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text",
      "image",
      "pdf"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 1000000,
    "output": 128000
  },
  "benchmarks": [
    {
      "name": "SWE-Bench Pro",
      "score": 51.9,
      "source": "https://labs.scale.com/leaderboard/swe_bench_pro_public",
      "metric": "resolve rate",
      "dataset": "public"
    },
    {
      "name": "SWE-Atlas Codebase QnA",
      "score": 33.3,
      "source": "https://labs.scale.com/leaderboard/sweatlas-qna",
      "metric": "score",
      "harness": "Claude Code"
    },
    {
      "name": "SWE-Atlas Codebase QnA",
      "score": 30,
      "source": "https://labs.scale.com/leaderboard/sweatlas-qna",
      "metric": "score",
      "harness": "Mini-SWE-Agent"
    },
    {
      "name": "SWE-Atlas Refactoring",
      "score": 35.58,
      "source": "https://labs.scale.com/leaderboard/sweatlas-refactoring",
      "metric": "score",
      "harness": "Claude Code"
    },
    {
      "name": "SWE-Atlas Test Writing",
      "score": 36.67,
      "source": "https://labs.scale.com/leaderboard/sweatlas-tw",
      "metric": "score",
      "harness": "Claude Code"
    },
    {
      "name": "SWE-Atlas Test Writing",
      "score": 36.08,
      "source": "https://labs.scale.com/leaderboard/sweatlas-tw",
      "metric": "score",
      "harness": "Mini-SWE-Agent"
    },
    {
      "name": "Artificial Analysis Coding Agent Index",
      "score": 51.3,
      "source": "https://artificialanalysis.ai/agents/coding-agents",
      "metric": "average pass@1",
      "harness": "Claude Code",
      "variant": "medium"
    },
    {
      "name": "SWE-Atlas Codebase QnA",
      "score": 71.9,
      "source": "https://artificialanalysis.ai/agents/coding-agents",
      "metric": "pass@1",
      "harness": "Claude Code",
      "variant": "medium"
    },
    {
      "name": "SWE-Bench Pro",
      "score": 11.8,
      "source": "https://artificialanalysis.ai/agents/coding-agents",
      "metric": "pass@1",
      "harness": "Claude Code",
      "variant": "medium",
      "dataset": "hard-aa"
    },
    {
      "name": "Terminal-Bench",
      "score": 70.2,
      "source": "https://artificialanalysis.ai/agents/coding-agents",
      "metric": "pass@1",
      "harness": "Claude Code",
      "variant": "medium",
      "version": "2.1"
    }
  ],
  "release_date": "2026-02-05",
  "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$6.2599.90%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrockBatch pricing1M$5.00$25.00$0.50$6.2599.90%
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$6.25—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/globalBatch pricing1M$5.00$25.00$0.50$6.25—
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$6.2599.93%
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$6.25100.00%
ZDR: No

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/europeBatch pricing1M$5.50$27.50$0.55$6.88100.00%
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