Claude Opus 4.6

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
| Evaluation | Reported score and source |
|---|---|
| ARC-AGI-2 | 64.6% Third-party evaluator · claude-opus-4-6_120K Thinking budget: 120K External evaluation via Epoch AIOriginal-source terms apply |
| FrontierMath-2025-02-28-Private | |
| FrontierMath-2025-02-28-Private | |
| FrontierMath-2025-02-28-Private | |
| FrontierMath-2025-02-28-Private | |
| FrontierMath-Tier-4-2025-07-01-Private | |
| FrontierMath-Tier-4-2025-07-01-Private | |
| FrontierMath-Tier-4-2025-07-01-Private | |
| FrontierMath-Tier-4-2025-07-01-Private | |
| FrontierMath-Tier-4-v2-Private | |
| FrontierMath-Tiers-1-3-v2-Private | |
| GPQA diamond | |
| GPQA diamond | |
| GPQA diamond | |
| OTIS Mock AIME 2024-2025 | |
| OTIS Mock AIME 2024-2025 | |
| OTIS Mock AIME 2024-2025 | |
| SimpleQA Verified | |
| SWE-Bench verified | |
| Terminal Bench | 69.9% Terminal-Bench v2 Leaderboard · claude-opus-4-6 Agent: Droid Terminal-Bench v2 LeaderboardOriginal-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/2.0Original-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/2.0Original-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/2.0Original-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/2.0Original-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/2.0Original-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/2.0Original-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/2.0Original-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/2.0Original-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/2.0Original-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/2.0Original-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/2.0Original-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
| Benchmark | Score | Evaluation details | Evidence |
|---|---|---|---|
| SWE-Bench Pro | 51.9 · resolve rate | public | Source |
| SWE-Atlas Codebase QnA | 33.3 · score | Claude Code | Source |
| SWE-Atlas Codebase QnA | 30 · score | Mini-SWE-Agent | Source |
| SWE-Atlas Refactoring | 35.58 · score | Claude Code | Source |
| SWE-Atlas Test Writing | 36.67 · score | Claude Code | Source |
| SWE-Atlas Test Writing | 36.08 · score | Mini-SWE-Agent | Source |
| Artificial Analysis Coding Agent Index | 51.3 · average pass@1 | Claude Code · medium | Source |
| SWE-Atlas Codebase QnA | 71.9 · pass@1 | Claude Code · medium | Source |
| SWE-Bench Pro | 11.8 · pass@1 | Claude Code · hard-aa · medium | Source |
| Terminal-Bench | 70.2 · pass@1 | Claude Code · medium · 2.1 | Source |
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
| 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 | 99.90% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| amazon-bedrockBatch pricing | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 99.90% | 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 | — | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azure/globalBatch pricing | 1M | $5.00 | $25.00 | $0.50 | $6.25 | — | 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 | 99.93% | 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 | |
| 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/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 |
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