Anthropic

Claude Sonnet 4.6

Tool callingStructured outputReasoningImage inputFile input
Claude Sonnet 4.6 launch post cover

Claude workhorse for coding agents, careful analysis, and production cost control

Context
1M
Released
8mo ago
Input / 1M tokens
$3.00
Output / 1M tokens
$15.00
Cached input / 1M tokens
$0.30
Cache write / 1M tokens
$3.75

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
29.9%
pass@1 · highest published configuration
mini-swe-agent · high reasoning
pass@4
56.6%
Average cost / attempt
$5.52
Benchmark runs
4

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
60.4%
Third-party evaluator · claude-sonnet-4-6_high
Reasoning effort: high
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
58.3%
Third-party evaluator · claude-sonnet-4-6_max
Reasoning effort: max
External evaluation via Epoch AI
Original-source terms apply
FrontierMath-2025-02-28-Private
32.4%
Epoch AI · claude-sonnet-4-6_16K
Thinking budget: 16K
Epoch AI evaluation
FrontierMath-Tier-4-2025-07-01-Private
8.3%
Epoch AI · claude-sonnet-4-6_16K
Thinking budget: 16K
Epoch AI evaluation
GPQA diamond
87.4%
Epoch AI · claude-sonnet-4-6_32K
Thinking budget: 32K
Epoch AI evaluation
GPQA diamond
83.3%
Epoch AI · claude-sonnet-4-6_high
Reasoning effort: high
Epoch AI evaluation
GPQA diamond
78.8%
Epoch AI · claude-sonnet-4-6_max
Reasoning effort: max
Epoch AI evaluation
GPQA diamond
83.3%
Epoch AI · claude-sonnet-4-6_medium
Reasoning effort: medium
Epoch AI evaluation
OSWorld
72.1%
OS World Website · claude-sonnet-4-6
Agent: claude-sonnet-4-6 (100 steps)
OS World Website
Original-source terms apply
OSWorld 2.0
8.3%
https://osworld-v2.xlang.ai/ · claude-sonnet-4-6_max
Reasoning effort: max
https://osworld-v2.xlang.ai/
Original-source terms apply
OSWorld 2.0
9.3%
https://osworld-v2.xlang.ai/ · claude-sonnet-4-6_medium
Reasoning effort: medium
https://osworld-v2.xlang.ai/
Original-source terms apply
OTIS Mock AIME 2024-2025
85.8%
Epoch AI · claude-sonnet-4-6_32K
Thinking budget: 32K
Epoch AI evaluation
OTIS Mock AIME 2024-2025
75.6%
Epoch AI · claude-sonnet-4-6_high
Reasoning effort: high
Epoch AI evaluation
OTIS Mock AIME 2024-2025
71.1%
Epoch AI · claude-sonnet-4-6_max
Reasoning effort: max
Epoch AI evaluation
OTIS Mock AIME 2024-2025
82.2%
Epoch AI · claude-sonnet-4-6_medium
Reasoning effort: medium
Epoch AI evaluation
SimpleQA Verified
35.5%
Epoch AI · claude-sonnet-4-6_high
Reasoning effort: high
Epoch AI evaluation
SimpleQA Verified
32.8%
Epoch AI · claude-sonnet-4-6_max
Reasoning effort: max
Epoch AI evaluation
SWE-Bench verified
75.2%
Epoch AI · claude-sonnet-4-6
Epoch AI evaluation
Terminal Bench
53.4%
Third-party evaluator · claude-sonnet-4-6
Agent: Simplai Agent
External evaluation via Epoch AI
Original-source terms apply
Terminal Bench
53.4%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · claude-sonnet-4-6_unknown
Agent: Simplai Agent · 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 17, 2026
Model ID
anthropic/claude-sonnet-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
2025-08-31
Hugging Face
—
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
anthropic/claude-sonnet-4-6
Source family
claude-sonnet
Last updated
2026-03-13
Knowledge cutoff
2025-08-31
Model context
1M
Model output limit
64K
Open weights
No
File attachments
Yes
Reasoning
Yes
Tool calling
Yes
Temperature control
Yes

Published benchmarks

BenchmarkScoreEvaluation detailsEvidence
SWE-Atlas Codebase QnA31.2 · scoreClaude CodeSource
SWE-Atlas Refactoring32.21 · scoreClaude CodeSource
SWE-Atlas Test Writing31.76 · scoreClaude CodeSource
Artificial Analysis Coding Agent Index49.4 · average pass@1Claude Code · mediumSource
SWE-Atlas Codebase QnA70.3 · pass@1Claude Code · mediumSource
SWE-Bench Pro14.9 · pass@1Claude Code · hard-aa · mediumSource
Terminal-Bench63.1 · pass@1Claude Code · medium · 2.1Source
Terminal-Bench67 · success rateTerminus-2 · 2.1 · 2026-06-30Source
Humanity's Last Exam34.6 · accuracyno tools · 2026-06-30Source
Humanity's Last Exam46.8 · accuracywith tools · 2026-06-30Source
OSWorld-Verified78.5 · success rate2026-06-30Source
Complete source record (JSON)
{
  "id": "anthropic/claude-sonnet-4-6",
  "name": "Claude Sonnet 4.6",
  "description": "Claude workhorse for coding agents, careful analysis, and production cost control",
  "family": "claude-sonnet",
  "last_updated": "2026-03-13",
  "knowledge": "2025-08-31",
  "attachment": true,
  "reasoning": true,
  "tool_call": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text",
      "image",
      "pdf"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 1000000,
    "output": 64000
  },
  "benchmarks": [
    {
      "name": "SWE-Atlas Codebase QnA",
      "score": 31.2,
      "source": "https://labs.scale.com/leaderboard/sweatlas-qna",
      "metric": "score",
      "harness": "Claude Code"
    },
    {
      "name": "SWE-Atlas Refactoring",
      "score": 32.21,
      "source": "https://labs.scale.com/leaderboard/sweatlas-refactoring",
      "metric": "score",
      "harness": "Claude Code"
    },
    {
      "name": "SWE-Atlas Test Writing",
      "score": 31.76,
      "source": "https://labs.scale.com/leaderboard/sweatlas-tw",
      "metric": "score",
      "harness": "Claude Code"
    },
    {
      "name": "Artificial Analysis Coding Agent Index",
      "score": 49.4,
      "source": "https://artificialanalysis.ai/agents/coding-agents",
      "metric": "average pass@1",
      "harness": "Claude Code",
      "variant": "medium"
    },
    {
      "name": "SWE-Atlas Codebase QnA",
      "score": 70.3,
      "source": "https://artificialanalysis.ai/agents/coding-agents",
      "metric": "pass@1",
      "harness": "Claude Code",
      "variant": "medium"
    },
    {
      "name": "SWE-Bench Pro",
      "score": 14.9,
      "source": "https://artificialanalysis.ai/agents/coding-agents",
      "metric": "pass@1",
      "harness": "Claude Code",
      "variant": "medium",
      "dataset": "hard-aa"
    },
    {
      "name": "Terminal-Bench",
      "score": 63.1,
      "source": "https://artificialanalysis.ai/agents/coding-agents",
      "metric": "pass@1",
      "harness": "Claude Code",
      "variant": "medium",
      "version": "2.1"
    },
    {
      "name": "Terminal-Bench",
      "score": 67,
      "source": "https://www.anthropic.com/news/claude-sonnet-5",
      "metric": "success rate",
      "harness": "Terminus-2",
      "version": "2.1",
      "date": "2026-06-30"
    },
    {
      "name": "Humanity's Last Exam",
      "score": 34.6,
      "source": "https://www.anthropic.com/news/claude-sonnet-5",
      "metric": "accuracy",
      "variant": "no tools",
      "date": "2026-06-30"
    },
    {
      "name": "Humanity's Last Exam",
      "score": 46.8,
      "source": "https://www.anthropic.com/news/claude-sonnet-5",
      "metric": "accuracy",
      "variant": "with tools",
      "date": "2026-06-30"
    },
    {
      "name": "OSWorld-Verified",
      "score": 78.5,
      "source": "https://www.anthropic.com/news/claude-sonnet-5",
      "metric": "success rate",
      "date": "2026-06-30"
    }
  ],
  "release_date": "2026-02-17",
  "open_weights": false
}

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
Amazon Bedrockamazon-bedrock/global1M$3.00$15.00$0.30$3.75100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrock/globalBatch pricing1M$3.00$15.00$0.30$3.75100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Anthropicanthropic1M$3.00$15.00$0.30$3.75100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

AnthropicanthropicBatch pricing1M$3.00$15.00$0.30$3.75100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/global1M$3.00$15.00$0.30$3.7593.72%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/globalBatch pricing1M$3.00$15.00$0.30$3.7593.72%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Claude Platform on AWSclaude-on-aws1M$3.00$15.00$0.30$3.75100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Claude Platform on AWSclaude-on-awsBatch pricing1M$3.00$15.00$0.30$3.75100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/global1M$3.00$15.00$0.30$3.75100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/globalBatch pricing1M$3.00$15.00$0.30$3.75100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrock/us1M$3.30$16.50$0.33$4.13100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrock/eu-west-11M$3.30$16.50$0.33$4.13100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrock/usBatch pricing1M$3.30$16.50$0.33$4.13100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrock/eu-west-1Batch pricing1M$3.30$16.50$0.33$4.13100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/europe1M$3.30$16.50$0.33$4.13100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/us-east51M$3.30$16.50$0.33$4.13100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/europeBatch pricing1M$3.30$16.50$0.33$4.13100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/us-east5Batch pricing1M$3.30$16.50$0.33$4.13100.00%
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