Claude Opus 5 on Run BiOS
claude-opus-5
Top up $20 and we add 50% — that’s about 2.0M input tokens extra on Claude Opus 5, on us.
Create an accountPricing
USD per 1M tokens| Input | $5.00 |
| Output | $25.00 |
| Cached input | $0.5090% below fresh input |
| Cache write (5m) | $6.25 |
| Cache write (1h) | $10.00 |
Billed per token with no minimum and no monthly fee. Price your workload
Capabilities and limits
- Context window
- 1.0M tokens
- Max output
- 63K tokens
- Modality
- multimodal
- Tool calling
- Supported
- Vision
- Supported
- Reasoning
- Optional
- Reasoning effort
- low, medium, high, xhigh, max (default: high)
- Prompt caching
- Supported (platform_managed)
- Cache minimum
- 512 tokens
Measured performance
7d- Time to first token (p50)
- 3.0 s
- Time to first token (p95)
- 6.0 s
- Throughput (avg)
- 95.3 tok/s
- Throughput (p50)
- 150.0 tok/s
Measured on real Run BiOS traffic over the trailing 7d. Your figures will vary with prompt shape and region.
curl https://api.runbios.ai/v1/chat/completions \
-H "Authorization: Bearer $BIOS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-opus-5",
"messages": [{ "role": "user", "content": "Hello" }]
}'Existing OpenAI SDK code works by changing the base URL and the key. API overview
Model card
Curated by Run BiOS · benchmark figures, where present, are the card’s own, not our measurements
Claude Opus 5 is Anthropic's strongest Opus-tier model — a hybrid reasoning model built for serious coding and AI agents, featuring a 1M-token context window. Anthropic describes it as a thoughtful and proactive model that comes close to the frontier intelligence of Claude Fable 5 at half the price, and as a step-change improvement for the Opus tier: stronger coding, more capable agents, and sharper professional work. It is an upgrade to Claude Opus 4.8, with gains in agentic coding, computer use, and long-horizon knowledge work, as well as improvements in mathematical and scientific reasoning.
On coding and knowledge-work evaluations such as Frontier-Bench and GDPval-AA, Opus 5 is the state of the art among the models Anthropic compared it against, though it remains behind Claude Mythos 5 on cybersecurity tasks.
Capabilities
- Effort settings — The model's effort level controls how hard it works: it reaches its best performance at higher effort on the highest-value tasks, and runs at much lower cost on tasks that do not need the ceiling of its capabilities. On Run BiOS, Opus 5 exposes the
low,high, andmaxreasoning-effort levels. - Long context — a 1M-token context window.
- Multimodal input — text and image input, with text output.
- Tool use and agents — built for production agentic workflows: orchestrating complex multi-tool tasks, planning deliberately, verifying its own work, and sustaining long-running work autonomously.
- Prompt caching and batch processing — Anthropic advertises up to 90% cost savings with prompt caching and 50% with batch processing on its own API.
Benchmark results
Results reported in the Claude Opus 5 system card and Anthropic's launch materials. Unless noted, coding results are averages over five trials in Anthropic's standard system-card configuration.
| Benchmark | Claude Opus 5 | Reference points |
|---|---|---|
| SWE-bench Verified | 96.0% | Claude Fable 5: 95.0% · Claude Opus 4.8: 88.6% |
| SWE-bench Pro | 79.2% | Claude Fable 5: 80.0% · Claude Opus 4.8: 69.2% |
| SWE-bench Multilingual | 89.5% | — |
| SWE-bench Multimodal | 59.4% | — |
| FrontierCode 1.1 Main | 53.4% (medium effort) | Claude Fable 5: 53.5% |
| FrontierCode 1.1 Extended | 63.6% | best verified result |
| Frontier-Bench v0.1 | 43.3% | Claude Fable 5: 33.7% · Claude Opus 4.8: 18.7% |
| ARC-AGI-3 | 30.2% | Claude Opus 4.8: 1.5% |
| OSWorld 2.0 (computer use) | 70.6% | — |
| CursorBench 3.2 | 70.0% (max effort) | Claude Fable 5: 70.5% |
| GDPval-AA v2 (knowledge work) | 1861 Elo | over 100 points ahead of Claude Fable 5 in Artificial Analysis' run |
| AA-Briefcase (agentic knowledge work) | 1720 Elo | +146 over Claude Fable 5 in Artificial Analysis' run |
Anthropic's launch reporting adds:
- On Frontier-Bench v0.1, Opus 5 more than doubles Opus 4.8's performance at a lower cost per task.
- On ARC-AGI 3, an evaluation of novel problem solving, Opus 5's score is three times as high as the next-best model Anthropic compared against.
- On Zapier AutomationBench, which measures whether models complete business tasks end to end, Opus 5's pass rate is around 1.5× the next-best model for the same cost per task; even at its lowest effort setting it passes more tasks than any other model in the comparison.
- On OSWorld 2.0, Opus 5 outperforms every other model at any given cost, surpassing Fable 5's best result at just over a third of the cost.
- On Anthropic's internal life-sciences evaluations, Opus 5 improves on Opus 4.8 on every one — most notably organic-chemistry tasks such as inferring molecular structures from spectroscopy data (+10.2 percentage points) and protein-variant function prediction (+7.7 percentage points).
Working with the model
In Anthropic's evaluations and early-access testing, Opus 5 stood out for verifying its own work and iterating until it succeeds:
- On one Frontier-Bench task, given a drawing of a machine part and no way to view it directly, Opus 5 wrote its own computer-vision pipeline to pull the geometry from the raw pixels, then reconstructed the full part as a 3D model — repeatedly; no competing model with the same setup solved it in five attempts.
- Given a real bug in a popular open-source package manager, Opus 5 found the root cause and fixed an edge case the community's patch had missed.
- Anthropic's early-access customers reported the largest gains on harder, longer-horizon work — debugging and root-cause analysis, multi-day enterprise projects, financial modeling, legal agent work, and deck/document production — with several reporting equal-or-better quality than Opus 4.8 at meaningfully fewer tokens, turns, and wall-clock time.
Safety and evaluations
Anthropic's pre-deployment evaluation of Opus 5 is documented in the Claude Opus 5 System Card. Anthropic reports testing across software engineering, mathematical and scientific reasoning, long context, agentic search and multi-agent orchestration, multimodal and computer-use tasks, real-world professional work, and multilingual, healthcare, and life-sciences domains, with Opus 5 substantially stronger than Opus 4.8 across the board.
On cybersecurity specifically, Anthropic describes Opus 5 as a general-purpose model not specifically trained for cyber tasks, and reports five capability evaluations — ExploitBench, OSS-Fuzz, Firefox 147, CyScenarioBench, and ExploitGym — alongside external cyber-range testing by the UK AI Security Institute. Anthropic states that the model's cyber capabilities exceed those of its predecessor but fall short of Claude Mythos 5.