Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.
It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Floor (cheapest).
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | Claude Opus 4.8 (Max) Intelligence Index | 41.8 |
| Artificial Analysis | Claude Opus 4.8 (Max) Coding Index | 74.3 |
| Artificial Analysis | Claude Opus 4.8 (Max) Agentic Index | 41.9 |
| Artificial Analysis | Claude Opus 4.8 (Max) GPQA Diamond | 92.0% |
| Artificial Analysis | Claude Opus 4.8 (Max) HLE | 48.7% |
| Artificial Analysis | Claude Opus 4.8 (Max) IFBench | 62.2% |
| Artificial Analysis | Claude Opus 4.8 (Max) τ²-Bench Telecom | 94.4% |
| Artificial Analysis | Claude Opus 4.8 (Max) AA-LCR | 77.7% |
| Artificial Analysis | Claude Opus 4.8 (Max) τ-Bench Banking | 34.2% |
| Artificial Analysis | Claude Opus 4.8 (Max) GDPval-AA | 47.7% |
| Artificial Analysis | Claude Opus 4.8 (Max) CritPt | 20.9% |
| Artificial Analysis | Claude Opus 4.8 (Max) SciCode | 54.4% |
| Artificial Analysis | Claude Opus 4.8 (Max) Terminal-Bench Hard | 58.3% |
| Artificial Analysis | Claude Opus 4.8 (Max) Terminal-Bench 4.0 | 21.7% |
| Artificial Analysis | Claude Opus 4.8 (Max) Terminal-Bench 2.1 | 84.6% |
| Artificial Analysis | Claude Opus 4.8 (Max) AA-Omniscience Accuracy | 48.8% |
| Artificial Analysis | Claude Opus 4.8 (Max) AA-Omniscience Non-Hallucination Rate | 60.7% |
| Design Arena | Claude Opus 4.8 Agents Arena Agenticgamedev Elo | 1238 |
| Design Arena | Claude Opus 4.8 Agents Arena Agentichtmlslides Elo | 1227 |
| Design Arena | Claude Opus 4.8 Agents Arena Agenticslides Elo | 1294 |
| Design Arena | Claude Opus 4.8 Agents Arena Agenticslides(Html) Elo | 1230 |
| Design Arena | Claude Opus 4.8 Agents Arena Agenticslides(Python-Pptx) Elo | 1310 |
| Design Arena | Claude Opus 4.8 Agents Arena Androidnative Elo | 1247 |
| Design Arena | Claude Opus 4.8 Agents Arena Full Stack Elo | 1249 |
| Design Arena | Claude Opus 4.8 Agents Arena Godotgamedev Elo | 1231 |
| Design Arena | Claude Opus 4.8 Agents Arena Htmlslides Elo | 1220 |
| Design Arena | Claude Opus 4.8 Agents Arena Mobile Apps Elo | 1220 |
| Design Arena | Claude Opus 4.8 Agents Arena Pptxslides Elo | 1306 |
| Design Arena | Claude Opus 4.8 Agents Arena Python-Pptxslides Elo | 1298 |
| Design Arena | Claude Opus 4.8 Agents Arena Python-Pptxslides Elo | 1227 |
| Design Arena | Claude Opus 4.8 Agents Arena Webapps Elo | 1231 |
| Design Arena | Claude Opus 4.8 Models Arena 3D Elo | 1224 |
| Design Arena | Claude Opus 4.8 Models Arena Asciiart Elo | 1278 |
| Design Arena | Claude Opus 4.8 Models Arena Code Categories Elo | 1255 |
| Design Arena | Claude Opus 4.8 Models Arena Data Visualization Elo | 1240 |
| Design Arena | Claude Opus 4.8 Models Arena Game Development Elo | 1265 |
| Design Arena | Claude Opus 4.8 Models Arena SVG Elo | 1193 |
| Design Arena | Claude Opus 4.8 Models Arena UI Component Elo | 1258 |
| Design Arena | Claude Opus 4.8 Models Arena Website Elo | 1259 |
| Vals AI | Claude Opus 4.8 Code Migration | 47.3% |
| Vals AI | Claude Opus 4.8 CorpFin v2 | 66.7% |
| Vals AI | Claude Opus 4.8 EMB | 69.4% |
| Vals AI | Claude Opus 4.8 Finance Agent (v2) | 53.9% |
| Vals AI | Claude Opus 4.8 GPQA Diamond | 92.4% |
| Vals AI | Claude Opus 4.8 Harvey's Legal Agent Benchmark | 9.6% |
| Vals AI | Claude Opus 4.8 LiveCodeBench | 87.8% |
| Vals AI | Claude Opus 4.8 LegalBench | 83.6% |
| Vals AI | Claude Opus 4.8 Legal Research Bench | 43.8% |
| Vals AI | Claude Opus 4.8 MedCode | 53.2% |
| Vals AI | Claude Opus 4.8 MedScribe | 85.8% |
| Vals AI | Claude Opus 4.8 MMLU Pro | 89.6% |
| Vals AI | Claude Opus 4.8 MMMU Pro | 86.6% |
| Vals AI | Claude Opus 4.8 MortgageTax | 69.9% |
| Vals AI | Claude Opus 4.8 ProgramBench | 1.0% |
| Vals AI | Claude Opus 4.8 ProofBench v1 | 69.0% |
| Vals AI | Claude Opus 4.8 Vals RSI Index | 24.0% |
| Vals AI | Claude Opus 4.8 SAGE | 54.8% |
| Vals AI | Claude Opus 4.8 SkillsBench | 59.2% |
| Vals AI | Claude Opus 4.8 SWE-bench | 88.6% |
| Vals AI | Claude Opus 4.8 Tax Agent Bench | 30.0% |
| Vals AI | Claude Opus 4.8 TaxEval v2 | 75.6% |
| Vals AI | Claude Opus 4.8 Terminal-Bench 4.0 | 23.2% |
| Vals AI | Claude Opus 4.8 Vals Index | 55.1% |
| Vals AI | Claude Opus 4.8 Vals Multimodal Index | 70.9% |
| Vals AI | Claude Opus 4.8 Vibe Code Bench v1.1 | 82.7% |
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Anthropic: Claude Opus versions
Anthropic: Claude Opus 4.8 is available through EU in-region routing. Requests sent to eu.openrouter.ai are decrypted in the EU and routed only to shared provider endpoints in Europe (the EU/EEA, the UK, and Switzerland).
https://eu.openrouter.ai/api/v1Fails closed: if no shared provider endpoint in Europe is available, the request errors instead of leaving the region. Requests served by your own BYOK key go to your deployment’s region, which you control. In-region routing docs
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.
Claude Opus 4.8 costs $5.00/M input tokens and $25.00/M output tokens, with separate rates for Cache Read at $0.50/M tokens, Cache Write at $6.25/M tokens, Cache Write (1h) at $10.00/M tokens, and Web Search at $10.00/1K calls.
Claude Opus 4.8 has a 1,000,000 token context window. It supports up to 128,000 completion tokens.
Yes. Claude Opus 4.8 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
Claude Opus 4.8 accepts text, images, and files such as PDFs as input and returns text.
Claude Opus 4.8 is served by 5 providers on OpenRouter: Claude Platform on AWS, Azure, Amazon Bedrock, Google Vertex, and Anthropic. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.
Claude Opus 4.8 was released on May 27, 2026.