Claude Opus 4.5
claude-opus-4-5
Last refreshed 2026-05-16. Next refresh: weekly.
Claude Opus 4.5 is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.
Decision context: Coding task fit, 5 tracked provider routes, and research from 2026-04-19.
Use it for
- Teams evaluating coding, rag, and agents
- Workloads that can use a 200K context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
Cheapest output
$25.00
Anthropic per 1M tokens
Provider routes
5
Tracked API hosts
Quality / dollar
Grade D
Ranked by benchmark score divided by cheapest output price
Freshness
2026-04-19
Researched 29d ago
Top use-case fit
Coding
Q/$ D3 relevant benchmarks in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Q/$ D1 relevant benchmark in the decision map.
Provider price ladder
Compare all 5| Provider | Input / 1M | Output / 1M | Batch in / out | Cache | Route |
|---|---|---|---|---|---|
| Anthropic | $5.00 | $25.00 | $2.50 / $12.50 | - | Serverless |
| GCP Vertex AI | $5.00 | $25.00 | - | - | Serverless |
| Microsoft Foundry | $5.00 | $25.00 | - | read $0.500 / 5m $6.25 / 1h $10.00 | ServerlessProvisioned |
| OpenRouter | $5.00 | $25.00 | - | - | Serverless |
Benchmark peer barsfor Coding
Migration checks
No linked migration route is available for this model yet.
About
Claude Opus 4.5 available on AWS Bedrock
Claude Opus 4.5 has a 200K-token context window.
Claude Opus 4.5 input tokens at $5/1M, output at $25/1M.
Capabilities
Benchmark Scores(7)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Massive Multi-discipline Multimodal Understanding | 80.7 | — | https://mmmu-benchmark.github.io/ |
| BFCL | 77.5 | — | https://gorilla.cs.berkeley.edu/leaderboard.html |
| SWE-bench Pro | 41.8 | — | DAT-1778 |
| MMLU PRO | 88.9 | — | https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro |
| Chatbot Arena | 1466.0 | Thinking 32K | https://arena.ai/leaderboard |
| Aider Polyglot | 72.0 | 2026-05 (32k thinking) | https://aider.chat/docs/leaderboards/ |
| SWE-bench Verified | 80.9 | SWE-bench Verified | https://benchlm.ai/benchmarks/sweVerified |
Rankings
Compare
All comparisons →Specifications
Created by
Developing safe and ethical AI systems.