MODEL PROOF
Claude Opus 5
BETTER VALUE OPTION
A stored alternative has an equal-or-higher measured score and an equal-or-lower price.
Claude Opus 5.5 · Δ score 9.6 points · 20% lower measured price · $8.00 / 1M tokens
- 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 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) |
|---|---|---|---|---|
| Claude Platform on AWSclaude-on-aws Endpoint terms
| $5.00 | $25.00 | undeclared | 99.36% |
| Googlegoogle-vertex/global Endpoint terms
| $5.00 | $25.00 | undeclared | 99.98% |
| Amazon Bedrockamazon-bedrock Endpoint terms
| $5.00 | $25.00 | undeclared | 99.94% |
| Azureazure/global Endpoint terms
| $5.00 | $25.00 | undeclared | 100.00% |
| Anthropicanthropic Endpoint terms
| $5.00 | $25.00 | undeclared | 99.84% |
| Amazon Bedrockamazon-bedrock/eu-west-1 Endpoint terms
| $5.50 | $27.50 | undeclared | 99.64% |
| Azureazure/us Endpoint terms
| $5.50 | $27.50 | undeclared | — |
| Googlegoogle-vertex/us Endpoint terms
| $5.50 | $27.50 | undeclared | 100.00% |
| Googlegoogle-vertex/europe Endpoint terms
| $5.50 | $27.50 | undeclared | 100.00% |
| Amazon Bedrockamazon-bedrock/us-east-1 Endpoint terms
| $5.50 | $27.50 | undeclared | 100.00% |
| Anthropicanthropic/fast Endpoint terms
| $10.00 | $50.00 | undeclared | 100.00% |
Independent scores
| LMArena Elo | 1502.1high |
|---|
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, 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 |
|---|---|
| Fetched | 2026-10-06 |
| Quality data | verified |
| Cross-checked | vendor page |
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 measurementOpus 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
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
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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.
[](https://undominated.ai/models/anthropic__claude-opus-5/)<a href="https://undominated.ai/models/anthropic__claude-opus-5/"><img src="https://undominated.ai/badge/anthropic__claude-opus-5.svg" alt="Claude Opus 5 — Undominated.ai dominance verdict" height="36"></a>Direct file: 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.
