--- title: "Anthropic: Claude Opus 5 — price, capability and what beats it · Undominated.ai" canonical: https://undominated.ai/models/anthropic__claude-opus-5/ description: "Anthropic: Claude Opus 5: $5.00/M in, $25.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements." --- # Anthropic: Claude Opus 5 — price, capability and what beats it · Undominated.ai > Anthropic: Claude Opus 5: $5.00/M in, $25.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements. [Check base rates for this workload](/check/anthropic__claude-opus-5/) [Cheaper alternatives](/alternatives/anthropic__claude-opus-5/) [Family](/families/claude/) [Compare models](https://undominated.ai/compare/?models=anthropic%2Fclaude-opus-5) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls. MODEL PROOF # Claude Opus 5 Anthropic · 24 Jul 2026 · proprietary Balanced Summarise Chat Code gen Agentic BETTER VALUE OPTION ## A stored alternative has an equal-or-higher measured score and an equal-or-lower price. **$10.00** / 1M tokens Balanced · 3 tokens in per 1 out [Claude Opus 5.5](/models/anthropic__claude-opus-5.5/) · Δ score 9.6 points · 20% lower measured price · $8.00 / 1M tokens Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) [Vendor cross-check](https://platform.claude.com/docs/en/about-claude/pricing) [LMArena · cc-by-4.0](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) Independent LMArena score 1,502.1 ± 3.79 · 59,482 votes Context window 1M Maximum output 128K Input modalities text, image, file Output modalities text Published input price $5.00 / 1M tokens Published output price $25.00 / 1M tokens Pricing kind fixed Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from Anthropic: the cheapest offer that is serving, at standard delivery and at the maker’s precision or better, at its standard rate. Every price dimension · USD per million tokens | Input | $5.00 /M | | --- | --- | | Output | $25.00 /M | | Cached input | $0.500 /M | | Cache write | $6.25 /M | | Cache write 1h | $10.00 /M | | Reasoning | Unknown /M | | Web search | $0.01 /call | | Batch discount | 50% | ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. 11 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller Claude Platform on AWS claude-on-aws Endpoint terms Cached input /M $0.500 Context limit 1,000,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.99% | Input $5.00 | Output $25.00 | Precision undeclared | Uptime (1d) 99.36% | | Seller Google google-vertex/global Endpoint terms Cached input /M $0.500 Context limit 1,000,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.58% | Input $5.00 | Output $25.00 | Precision undeclared | Uptime (1d) 99.98% | | Seller Amazon Bedrock amazon-bedrock Endpoint terms Cached input /M $0.500 Context limit 1,000,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.95% | Input $5.00 | Output $25.00 | Precision undeclared | Uptime (1d) 99.94% | | Seller Azure azure/global Endpoint terms Cached input /M $0.500 Context limit 1,000,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $5.00 | Output $25.00 | Precision undeclared | Uptime (1d) 100.00% | | Seller Anthropic anthropic Endpoint terms Cached input /M $0.500 Context limit 1,000,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.47% | Input $5.00 | Output $25.00 | Precision undeclared | Uptime (1d) 99.84% | | Seller Amazon Bedrock amazon-bedrock/eu-west-1 Endpoint terms Cached input /M $0.550 Context limit 1,000,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $5.50 | Output $27.50 | Precision undeclared | Uptime (1d) 99.64% | | Seller Azure azure/us Endpoint terms Cached input /M $0.550 Context limit 1,000,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $5.50 | Output $27.50 | Precision undeclared | Uptime (1d) — | | Seller Google google-vertex/us Endpoint terms Cached input /M $0.550 Context limit 1,000,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $5.50 | Output $27.50 | Precision undeclared | Uptime (1d) 100.00% | | Seller Google google-vertex/europe Endpoint terms Cached input /M $0.550 Context limit 1,000,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $5.50 | Output $27.50 | Precision undeclared | Uptime (1d) 100.00% | | Seller Amazon Bedrock amazon-bedrock/us-east-1 Endpoint terms Cached input /M $0.550 Context limit 1,000,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $5.50 | Output $27.50 | Precision undeclared | Uptime (1d) 100.00% | | Seller Anthropic anthropic/fast Endpoint terms Cached input /M $1.00 Context limit 1,000,000 tokens Output limit 128,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $10.00 | Output $50.00 | Precision undeclared | Uptime (1d) 100.00% | ### Independent scores | LMArena Elo | 1502.1 high | | --- | --- | LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero. #### Best rankings by task - ASCII art #1 1359 - Mobile apps #1 1348 - Agenticgamedev #2 1261 - SVG #3 1316 - Native Android apps #3 1269 - Godot games #3 1279 - Full-stack apps #4 1305 - Code categories #5 1329 Per-task Elo and rank from [Design Arena](https://designarena.ai), via OpenRouter’s model feed. The rank is the feed’s, and it counts models OpenRouter does not list. ### Capability | Context window | 1M | | --- | --- | | Max output | 128K | | Input modes | text, image, file | | Tool use | yes | | Reasoning | optional | | Open weights | no | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | verified | | Cross-checked | [vendor page](https://platform.claude.com/docs/en/about-claude/pricing) | A published time-to-first-token figure for this model was implausible (41s) and has been withheld rather than displayed. ## Our take editorial — not a measurement Opus is a candidate for complex coding and document workflows, but its fit depends on your task evaluations and reasoning settings. Compare the current proof with the alternatives before treating it as a default. Inspect cache, batch and delivery-mode terms separately. The suspect latency figure is withheld, so measure latency before an interactive deployment. ### Strengths - Tool use, structured outputs and selectable reasoning effort are listed - Cache and batch options can be assessed against repeated-context workloads ### Weaknesses - Token counts can differ across tokenizers even for identical text - A delivery-mode label does not establish a measured latency advantage ### Reach for it when - Evaluation for complex coding tasks - Document workflows with repeated context ### Avoid it if - You require untested interactive latency - A simpler model already meets your task requirements Sources: [platform.claude.com](https://platform.claude.com/docs/en/about-claude/pricing) · [platform.claude.com](https://platform.claude.com/docs/en/about-claude/models/overview) Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis... ## Questions this page answers What does Claude Opus 5 cost? $5.00/M in, $25.00/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does Claude Opus 5 have an independent quality score? Claude Opus 5 has an LMArena score in this catalogue. What beats Claude Opus 5? Claude Opus 5.5 has an equal-or-higher measured score and an equal-or-lower price. Does this page use Artificial Analysis scores for Claude Opus 5? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options Anthropic: Claude Opus 5. Balanced workload. Better value option available. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related - Both better and cheaper [Claude Opus 5.5](/models/anthropic__claude-opus-5.5/) - Side by side [Claude Fable 5.1](/compare/anthropic__claude-fable-5.1--vs--anthropic__claude-opus-5/) - Nearby on the capability axis [Claude Opus 4.6](/models/anthropic__claude-opus-4.6/) - Same vendor [Claude Fable 5](/models/anthropic__claude-fable-5/) - Anthropic models [Anthropic](/providers/anthropic/) - Where this model appears [wire](/wire/) - Side by side [Gemini 3.7 Flash](/compare/anthropic__claude-opus-5--vs--google__gemini-3.7-flash/) - Nearby on the capability axis [Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) - Same vendor [Claude Opus 4.7](/models/anthropic__claude-opus-4.7/) - Where this model appears [disagreement](/disagreement/) - Side by side [Claude Opus 4.8](/compare/anthropic__claude-opus-4.8--vs--anthropic__claude-opus-5/) - Nearby on the capability axis [Claude Fable 5.1](/models/anthropic__claude-fable-5.1/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. Markdown Copy [![Claude Opus 5 — Undominated.ai dominance verdict](https://undominated.ai/badge/anthropic__claude-opus-5.svg)](https://undominated.ai/models/anthropic__claude-opus-5/) HTML Copy Claude Opus 5 — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/anthropic__claude-opus-5.svg](https://undominated.ai/badge/anthropic__claude-opus-5.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy. ## Continue your investigation - [Explore model families](/families/) - [Compare a shortlist](/compare/) - [Check a model](/check/) - [Understand the evidence](/methodology/)