Claude Opus 4.7
Last refreshed 2026-05-25. Next refresh: weekly.
MultimodalCodingRAGAgentsLong contextVisionJSON / Tool useHighlight
Claude Opus 4.7 is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.
Decision context: Coding task fit, 7 tracked provider routes, and research from 2026-05-25.
Use it for
- Teams evaluating coding, rag, and agents
- Workloads that can use a 1m context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
Featured in Picks
Cheapest output
$25.00
Anthropic per 1M tokens
Provider routes
7
Tracked API hosts
Quality / dollar
Grade D
Ranked by benchmark score divided by cheapest output price
Freshness
2026-05-25
Researched 7d ago
fresh
Top use-case fit
Coding
Q/$ D2 relevant benchmarks in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Q/$ D2 relevant benchmarks in the decision map.
Provider price ladder
Compare all 7| Provider | Input / 1M | Output / 1M | Batch in / out | Cache | Route |
|---|---|---|---|---|---|
| Anthropic | $5.00 | $25.00 | $2.50 / $12.50 | read $0.500 / 5m $6.25 / 1h $10.00 | Serverless |
| AWS Bedrock | $5.00 | $25.00 | - | - | Serverless |
| GCP Vertex AI | $5.00 | $25.00 | - | - | Serverless |
| Microsoft Foundry | $5.00 | $25.00 | - | read $0.500 / 5m $6.25 / 1h $10.00 | Serverless |
Benchmark peer barsfor Coding
SWE-bench ProRank 2 of 23
SWE-bench VerifiedRank 3 of 51
Migration checks
No linked migration route is available for this model yet.
About
Claude Opus 4.7 is Anthropic's generally available flagship model with 1M context, 128K max output, adaptive thinking, and a new tokenizer with roughly 555K words per 1M tokens.
Claude Opus 4.7 has a 1m-token context window.
Claude Opus 4.7 input tokens at $5/1M, output at $25/1M.
Capabilities
VisionMultimodalReasoningFunction CallingTool UseStructured OutputsCode ExecutionPrompt CachingBatch API
Benchmark Scores(5)
Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Google-Proof Q&A | 94.2 | diamond | https://www.anthropic.com/news/claude-opus-4-7 |
| SWE-bench Pro | 64.3 | — | https://www.anthropic.com/news/claude-4 |
| SWE-bench Verified | 87.6 | SWE-bench Verified | https://www.swebench.com/verified.html |
| MultiChallenge | 58.6 | MultiChallenge | https://labs.scale.com/leaderboard/multichallenge |
| Chatbot Arena | 1503.0 | Thinking | https://arena.ai/leaderboard |
Rankings
Best LLMs for Code GenerationBest LLMs for RAGBest AI Agents & Agentic ModelsBest Multimodal / Vision LLMsBest LLMs for Reasoning & MathBest LLMs for Function Calling & Tool UseCheapest LLM APIs You Can Call Right NowBest Long Context LLMsBest Mainstream LLM APIs, RankedBest LLMs for EnterpriseBest LLMs for WritingBest LLMs for MarketingBest LLMs for Customer Support
Compare
All comparisons →Claude Opus 4.7 vs Qwen3.6-MaxClaude Opus 4.7 vs Claude Opus 4.8Claude Opus 4.7 vs GPT-5.4Claude Opus 4.7 vs GPT-5.2Claude Opus 4.7 vs GPT-5Claude Opus 4.7 vs Gemini 3.1 Pro PreviewClaude Opus 4.7 vs Claude Sonnet 4.6Claude Opus 4.7 vs Claude Opus 4.6Claude Opus 4.7 vs DeepSeek V4 ProClaude Opus 4.7 vs Grok 4Claude Opus 4.7 vs Grok 4 HeavyClaude Opus 4.7 vs Qwen3-MaxClaude Opus 4.7 vs Kimi K2 ThinkingClaude Opus 4.7 vs GLM-4.6Claude Opus 4.7 vs Kimi K2.6Claude Opus 4.7 vs Composer 2.5
Show all 62 popular comparisonssorted by 7-day search impressions
Claude Opus 4.7 vs GLM-5.12KClaude Opus 4.7 vs Qwen3.6-27B1KClaude Opus 4.7 vs DeepSeek V4 Flash1KClaude Opus 4.7 vs Tencent Hy3 Preview729Claude Opus 4.7 vs Claude Sonnet 4.5710Claude Opus 4.7 vs Gemini 2.5 Pro527Claude Opus 4.7 vs Step 3.5 Flash396Claude Opus 4.7 vs GLM-5344Claude Opus 4.7 vs Kimi K2.5313Claude Opus 4.7 vs Gemini 3.5 Flash300Claude Opus 4.7 vs Claude Haiku 4.5268Claude Opus 4.7 vs Claude 3.7 Sonnet245Claude Opus 4.7 vs o3236Claude Opus 4.7 vs DeepSeek R1226Claude Opus 4.7 vs Xiaomi MiMo-V2.5209Claude Opus 4.7 vs Mistral Large 2209Claude Opus 4.7 vs Ling-2.6-1T206Claude Opus 4.7 vs Grok-3174Claude Opus 4.7 vs Llama 3 70B Instruct162Claude Opus 4.7 vs Qwen3.5-27B107Claude Opus 4.7 vs Qwen3.6-35B-A3B87Claude Opus 4.7 vs Trinity-Large-Thinking76Claude Opus 4.7 vs Gemma 7B Instruct73Claude Opus 4.7 vs Qwen3.5-35B-A3B69Claude Opus 4.7 vs Llama 3 8B Instruct68Claude Opus 4.7 vs DeepSeek V367Claude Opus 4.7 vs GPT-5.566Claude Opus 4.7 vs GLM-5V-Turbo64Claude Opus 4.7 vs GLM-5 Turbo63Claude Opus 4.7 vs Llama 3.1 70B Instruct63Claude Opus 4.7 vs Claude Opus 4.562Claude Opus 4.7 vs GPT-5.5 Pro62Claude Opus 4.7 vs DeepSeek V3.161Claude Opus 4.7 vs Gemini 2.5 Flash61Claude Opus 4.7 vs DeepSeek R1 052861Claude Opus 4.7 vs Qwen2.5-72B61Claude Opus 4.7 vs StepFun Step-255Claude Opus 4.7 vs Qwen3.5-122B-A10B54Claude Opus 4.7 vs o3-pro54Claude Opus 4.7 vs Qwen3-235B-A22B52Claude Opus 4.7 vs Llama 2 13B Chat48Claude Opus 4.7 vs Qwen3.5-397B-A17B47Claude Opus 4.7 vs o3 Deep Research44Claude Opus 4.7 vs DeepSeek R1 Distill Llama 70B37Claude Opus 4.7 vs GLM-5 9B35Claude Opus 4.7 vs Llama 3.2 1B Instruct33Claude Opus 4.7 vs Claude Mythos Preview27Claude Opus 4.7 vs Qwen2.5-7B-Instruct22Claude Opus 4.7 vs Code Davinci 00121Claude Opus 4.7 vs Together AI - Llama 3 8B Lite21Claude Opus 4.7 vs Qwen2.5-72B-Instruct17Claude Opus 4.7 vs Phi-3 Mini 4k14Claude Opus 4.7 vs o3 Mini11Claude Opus 4.7 vs Phi-4 Mini Flash Reasoning11Claude Opus 4.7 vs Phi-4 Reasoning Vision 15B10Claude Opus 4.7 vs Mixtral 8x7B7Claude Opus 4.7 vs Magistral Small 25067Claude Opus 4.7 vs Qwen3.6 Max Preview7Claude Opus 4.7 vs Gemma 2B Instruct7Claude Opus 4.7 vs ShieldGemma 9B5Claude Opus 4.7 vs Xiaomi MiMo-V2.5-Pro1Claude Opus 4.7 vs Trinity-Large-Preview1
Specifications
FamilyClaude 4.7
Released2026-04-16
Context1m
Max output128,000
ArchitectureDecoder Only
Knowledge cutoff2026-01
Specializationgeneral
LicenseProprietary
Trainingfinetuned
Created by
Developing safe and ethical AI systems.
San Francisco, California, United States
Founded 2021
Website