Claude Opus 4.8
Claude Opus 4.8 is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.
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
- Family
- Claude 4.8
- Released
- 2026-05-28
- Context
- 1m
- Max output
- 128,000
- Architecture
- Decoder Only
- Knowledge cutoff
- 2026-01
- Specialization
- general
- Openness
- Proprietary
- License
- ProprietaryCommercial use: conditional
- Weights
- Not released
- Code
- Not released
- Training
- Fine-tuned
Cheapest of 6 routes · Anthropic · cache read $0.500
About
Claude Opus 4.8 is Anthropic's flagship Claude 4.8 model, released May 28, 2026 for agentic coding, long-horizon reasoning, computer use, and professional knowledge work. It supports text and image inputs, adaptive reasoning, tool use, structured outputs, computer-use tools, prompt caching, Batch API, Dynamic Workflows parallel subagents, a 1M-token context window on Anthropic API/Bedrock/Vertex, and 128K max output. Key datapack rows: SWE-bench Pro 69.2%, SWE-bench Verified 88.6%, Terminal-Bench 2.1 74.6%, HLE with tools 57.9%, OSWorld-Verified 83.4%, GDPval-AA 1890 Elo, and MCP-Atlas 82.2%. Standard Anthropic API pricing is $5/M input and $25/M output.
Claude Opus 4.8 is a proprietary model in the Claude 4.8 family. The structured metadata tracks a 1m-token context window, multimodal input, reasoning, function calling, tool use, structured outputs, and code execution. This page tracks provider routes through Anthropic, AWS Bedrock, GCP Vertex AI, and 3 more, with the cheapest tracked route listed at $5 input and $25 output per 1M tokens. Headline tracked benchmarks include Finance Agent v2 53.9, SWE-bench Verified 88.6, and SWE-bench Pro 69.2.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ 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 6Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| 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 |
| OpenRouter | $5.00 | $25.00 | - | - | Serverless |
| AWS Bedrock | - | - | - | - | ServerlessPartial |
| GCP Vertex AI | - | - | - | - | ServerlessPartial |
Available via routers & gateways(16)
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, semantic caching, and guardrails; Apache 2.0 core is fully self-hostable with the complete feature set.
AIRouter
RouterCommercial LLM router that analyzes incoming requests and routes to the optimal model for cost/quality/latency via a drop-in OpenAI-compatible API, with a privacy-preserving embedding mode that avoids sending prompt content.
Amazon Bedrock Intelligent Prompt Routing
RouterAWS Bedrock's native intelligent prompt router that routes prompts between Anthropic Claude model tiers (Haiku/Sonnet) based on predicted task complexity, with no extra per-routing charge.
Azure AI Foundry Model Router
RouterMicrosoft Azure AI Foundry's native model router that uses a trained ML model to route each prompt in real time to the optimal Azure-hosted model, with Balanced/Cost/Quality mode selection and automatic failover.
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(21)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| Finance Agent v2 | 53.9 | —Observed 2026-05-28 | — | Source |
| SWE-bench Verified | 88.6 | SWE-bench VerifiedObserved 2026-05-28 | — | Source |
| SWE-bench Pro | 69.2 | SWE-bench ProObserved 2026-05-28 | — | Source |
| Terminal-Bench 2.1 | 74.6 | Terminal-Bench 2.1Observed 2026-05-28 | — | Source |
| Google-Proof Q&A | 93.6 | GPQA DiamondObserved 2026-05-28 | — | Source |
| Humanity's Last Exam — No Tools | 49.8 | HLE no toolsObserved 2026-05-28 | — | Source |
| Humanity's Last Exam — With Tools | 57.9 | HLE with toolsObserved 2026-05-28 | — | Source |
| BrowseComp — Single Agent | 84.3 | BrowseComp single-agentObserved 2026-05-28 | — | Source |
| BrowseComp — Multi-Agent | 88.5 | BrowseComp multi-agent Dynamic WorkflowsObserved 2026-05-28 | — | Source |
| OSWorld-Verified | 83.4 | OSWorld-VerifiedObserved 2026-05-28 | — | Source |
| GDPval-AA | 1890.0 | GDPval-AA ELOObserved 2026-05-28 | — | Source |
| MCP-Atlas | 82.2 | MCP-AtlasObserved 2026-05-28 | — | Source |
| ARC-AGI-2 — High Effort | 72.1 | ARC-AGI-2 high effortObserved 2026-05-28 | — | Source |
| LiveCodeBench | 88.8 | LiveCodeBenchObserved 2026-05-28 | — | Source |
| CursorBench | 63.8 | CursorBench 3.1Observed 2026-06-30 | Configuration: Opus 4.8 Max Harness: CursorBench 3.1 Evaluator: Cursor Confidence: confirmed Notes: Highest CursorBench 3.1 score across Cursor's published effort configurations for this base model. | Source |
| GeneBench-Pro | 16.0 | maxObserved 2026-06-30 | — | Source |
| CursorBench | 62.3 | CursorBench 3.2Observed 2026-07-18 | Configuration: Opus 4.8 Max Harness: CursorBench 3.2 productized Cursor-agent workflow Evaluator: Cursor Confidence: confirmed Cost/task: $5.77 Tokens/task: 71,411 Steps/task: 44 Notes: Cursor vendor-reported result; not independently reproducible. Results are subject to variance, and small score differences may not be statistically meaningful. | Source |
| CursorBench | 59.4 | CursorBench 3.2Observed 2026-07-18 | Configuration: Opus 4.8 Extra High Harness: CursorBench 3.2 productized Cursor-agent workflow Evaluator: Cursor Confidence: confirmed Cost/task: $4.50 Tokens/task: 51,121 Steps/task: 40 Notes: Cursor vendor-reported result; not independently reproducible. Results are subject to variance, and small score differences may not be statistically meaningful. | Source |
| CursorBench | 58.0 | CursorBench 3.2Observed 2026-07-18 | Configuration: Opus 4.8 High Harness: CursorBench 3.2 productized Cursor-agent workflow Evaluator: Cursor Confidence: confirmed Cost/task: $3.15 Tokens/task: 33,548 Steps/task: 33 Notes: Cursor vendor-reported result; not independently reproducible. Results are subject to variance, and small score differences may not be statistically meaningful. | Source |
| CursorBench | 56.1 | CursorBench 3.2Observed 2026-07-18 | Configuration: Opus 4.8 Medium Harness: CursorBench 3.2 productized Cursor-agent workflow Evaluator: Cursor Confidence: confirmed Cost/task: $2.81 Tokens/task: 28,384 Steps/task: 32 Notes: Cursor vendor-reported result; not independently reproducible. Results are subject to variance, and small score differences may not be statistically meaningful. | Source |
| CursorBench | 53.1 | CursorBench 3.2Observed 2026-07-18 | Configuration: Opus 4.8 Low Harness: CursorBench 3.2 productized Cursor-agent workflow Evaluator: Cursor Confidence: confirmed Cost/task: $2.02 Tokens/task: 19,624 Steps/task: 27 Notes: Cursor vendor-reported result; not independently reproducible. Results are subject to variance, and small score differences may not be statistically meaningful. | Source |
Migration checks
No linked migration route is available for this model yet.
Rankings & picks(4)
Compare Claude Opus 4.8 with other models
Comparison and alternatives
Browse all comparisons →Show all 6 popular comparisonssorted by 7-day search impressions
Frequently asked questions
What is the context window of Claude Opus 4.8?
Claude Opus 4.8 has a context window of 1m tokens.
What is the max output of Claude Opus 4.8?
Claude Opus 4.8 can generate up to 128,000 output tokens.
How much does Claude Opus 4.8 cost?
Claude Opus 4.8 is available at $5.00/1M input tokens through Anthropic.
When was Claude Opus 4.8 released?
Claude Opus 4.8 was released on 2026-05-28.
Which providers offer Claude Opus 4.8?
Claude Opus 4.8 is available from 6 providers: Anthropic, AWS Bedrock, GCP Vertex AI, Microsoft Foundry, OpenRouter, Vercel AI Gateway.
What benchmarks has Claude Opus 4.8 been tested on?
Claude Opus 4.8 has been evaluated on 21 benchmarks, including Finance Agent v2, SWE-bench Verified, SWE-bench Pro, Terminal-Bench 2.1, Google-Proof Q&A.
Cheapest of 6 routes · Anthropic · cache read $0.500