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Anthropic's frontier reasoning model with a 1M-token context window, built for complex agentic workflows, graduate-level analysis, and long-context tasks.
Overview. Claude Opus 4.8 is Anthropic's proprietary, closed-weight instruct model in the Claude Opus 4 family, accepting text and image input and producing text output over a 1M-token context window. It was Anthropic's flagship Opus model until Claude Opus 5 shipped in July 2026; Opus 4.8 remains active under Anthropic's 'legacy' status designation, now positioned as the established option behind the newer release. Developers reach for it when they need frontier-grade reasoning and agentic tool use rather than the newest model by default.
Key strengths. Opus 4.8 posts a GPQA-Diamond score of 0.92 and a tau2 (tool-agent-user) score of 0.94, indicating strong graduate-level reasoning and reliable structured tool-calling behaviour. Its Artificial Analysis intelligence index of 57.3 and coding index of 74.3 are the highest recorded across the Claude Opus 4 family, and Terminal-Bench v2.1 performance of 0.85 backs up its framing as a model built for complex agentic workflows. Long-context reasoning (0.73) supports its 1M-token window rather than treating it as a marketing number alone.
When to use it. Use Opus 4.8 for graduate-level analysis, multi-step agentic workflows, and tool-calling tasks where reasoning quality matters more than raw response speed. Its 1M-token context and long-context-reasoning score make it a fit for reviewing large documents or codebases in a single pass, and its opt-in adaptive thinking mode suits problems that benefit from a visible reasoning trace. It also accepts image input alongside text, so it can handle mixed-modality prompts within the same workflow.
Limitations. Opus 4.8 runs with a batch-oriented latency profile: time-to-first-token has ranged from roughly 7 to 38 seconds across recent measurements and throughput sits around 60 tokens per second, so it is not suited to low-latency, real-time interactions. Standard API output is capped at 128K tokens, and temperature, top_p, and top_k cannot be overridden at all — a constraint that holds regardless of thinking mode, with only opt-in adaptive thinking (not manual extended-thinking budgets) available on this model. Its training data cutoff is January 2026, and it has been superseded as Anthropic's flagship Opus model by Claude Opus 5.
Sovereignty note. Claude Opus 4.8 is built by Anthropic, a US-based creator, which means the model carries US CLOUD Act data-residency exposure rather than EU-Sovereign status. No findings indicate a training-on-input policy change or EU-resident endpoint option for this model.
| Inference Provider | Sovereignty | Runs in | In / out per 1M | Status | Pin |
|---|---|---|---|---|---|
| L0 | €4.54 / 22.69+3 rates | Online |
9 use cases classified by the curator. The note says why.
Bulk classification workloads favor cheap, fast models; Opus 4.8 is described as a frontier model for complex agentic and analytical work, and its ceiling-tier cost profile pushes it below the family default acceptable rating for this workload.
High-frequency IDE completion favors low-latency, low-cost models; Opus 4.8's role as the family's top quality-index model for complex agentic workflows makes it a materially worse fit than dedicated completion models.
Family default of acceptable already flags cost as disqualifying for high-volume support; Opus 4.8 is explicitly the family's quality-index ceiling and thus likely the most expensive variant, widening the cost/complexity mismatch for this use case.
Email drafting is low-complexity; Opus 4.8 is purpose-built for graduate-level analysis and long-context agentic work per its curated description, so its flagship cost tier is a poorer fit than the family's acceptable default.
High-volume copy generation is cost-sensitive; as the current ceiling on quality index within the family, Opus 4.8 carries the family's highest cost profile, pushing it below the default acceptable rating for this workload.
Routine meeting summarisation doesn't require frontier reasoning; Opus 4.8's premium positioning as the family quality ceiling makes its cost/latency profile excessive relative to the family's already-cautious acceptable default.
Sourced numbers, not our own evaluations. Percentiles are against the whole Stav catalogue.
Computed from aa-intelligence-index, gpqa-diamond, aa-engineering-index, aa-coding-index, livecodebench, terminal-bench-v4, ifbench, aa-lcr.
curl https://api.stav.ai/v1/chat/completions \
-H "Authorization: Bearer $STAV_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "anthropic/claude-opus-4-8",
"reasoning_effort": "high",
"messages": [{"role": "user", "content": "Hello!"}]
}'→ X-Stav-Request-Id · X-Stav-Model · X-Stav-Provider → X-Stav-Sovereignty-Level — the rung the request was served at