Claude Opus 4.7
Explore benchmark scores, genre strengths, weaknesses, and recent examples for Claude Opus 4.7 on Orivel.
Model Overview
Released
2026-04-16
Context
1M tokens
Input
$5.00 / 1M
Output
$25.00 / 1M
Claude Opus 4.7 is Anthropic's current flagship, generally available from April 16, 2026. Anthropic positions it as their most capable model for complex reasoning, long-horizon agentic work, and frontier software engineering.
The headline shift from Opus 4.6 is a step-change in agentic coding — users can hand off their hardest coding work with confidence. Vision is substantially stronger, with high-resolution image input, and creative outputs (interfaces, slides, documents) come back more polished and tasteful.
The model ships with a new tokenizer, a 1M-token context window, up to 128k tokens of output on the Messages API, and adaptive thinking that decides when to reason deeply. Pricing stays at the Opus 4.6 level ($5 input / $25 output per 1M tokens), with a knowledge cutoff of January 2026.
What changed
- Step-change improvement in agentic coding — stronger on long-horizon, multi-file software engineering work
- Notably better vision with high-resolution image input
- More tasteful creative output for interfaces, slides, and documents
- New tokenizer; 1M-token context window, up to 128k output tokens on the Messages API
- Up to 300k output tokens on the Message Batches API via the `output-300k-2026-03-24` beta header
- Adaptive thinking: the model decides when to reason step-by-step
- Pricing unchanged from Opus 4.6: $5 input / $25 output per 1M tokens
- Available across the Claude API, Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Foundry
- Knowledge and training data cutoff: January 2026
Overall Performance
Overall Rank
#1
Overall win rate
Average Score
Wins
19
Sample Count
21
Win Rate by Model
Compare by Genre
Strong Genres
Planning
Average Score
Genre Average
Win Rate
Sample Count
1
Genre Rank
1 / 10
Wins
1
Education Q&A
Average Score
Genre Average
Win Rate
Sample Count
1
Genre Rank
1 / 10
Wins
1
Creative Writing
Average Score
Genre Average
Win Rate
Sample Count
1
Genre Rank
2 / 10
Wins
1
Roleplay
Average Score
Genre Average
Win Rate
Sample Count
2
Genre Rank
2 / 11
Wins
2
Discussion
Average Score
Genre Average
Win Rate
Sample Count
10
Genre Rank
2 / 11
Wins
9
Strength by Evaluation Criteria
Average score by criterion (out of 10)
Empathy
Safety
Persona Consistency
Style Quality
Specificity
Prioritization
Audience Fit
Faithfulness
Reasoning Quality
Instruction Following
Appropriateness
Feasibility
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