Claude Sonnet 4.5
claude-sonnet-4-5
Last refreshed 2026-05-16. Next refresh: weekly.
Claude Sonnet 4.5 is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.
Decision context: Vision task fit, 7 tracked provider routes, and research from 2026-04-19.
Use it for
- Teams evaluating rag, agents, and long context
- 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
$15.00
Anthropic per 1M tokens
Provider routes
7
Tracked API hosts
Quality / dollar
Grade D
Ranked by benchmark score divided by cheapest output price
Freshness
2026-04-19
Researched 29d ago
Top use-case fit
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 7| Provider | Input / 1M | Output / 1M | Batch in / out | Cache | Route |
|---|---|---|---|---|---|
| Anthropic | $3.00 | $15.00 | $1.50 / $7.50 | - | Serverless |
| GCP Vertex AI | $3.00 | $15.00 | - | - | Serverless |
| Microsoft Foundry | $3.00 | $15.00 | - | read $0.300 / 5m $3.75 / 1h $6.00 | ServerlessProvisioned |
| OpenRouter | $3.00 | $15.00 | - | - | Serverless |
Benchmark peer barsfor Vision
Migration checks
No linked migration route is available for this model yet.
About
Claude Sonnet 4.5 available on AWS Bedrock
Claude Sonnet 4.5 has a 200K-token context window.
Claude Sonnet 4.5 input tokens at $3/1M, output at $15/1M.
Capabilities
Benchmark Scores(3)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Massive Multi-discipline Multimodal Understanding | 77.8 | — | https://mmmu-benchmark.github.io/ |
| BFCL | 73.2 | — | https://gorilla.cs.berkeley.edu/leaderboard.html |
| MMLU PRO | 86.0 | — | https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro |
Rankings
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