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What Does claude-opus-5 Cost Compared With Nearby Models in 2026?

At the published base rate, claude-opus-5 is priced at $5 per million input tokens and $25 per million output tokens, with cache hits at $0.50 per million tokens. That puts it at the same listed token rate as claude-opus-4-8, below claude-fable-5, and above lower-cost routing options such as claude-sonnet-5. The payable amount is the base rate multiplied by the account’s assigned group multiplier.

How much does claude-opus-5 cost per million tokens?

The published base price for claude-opus-5 is $5 per 1M input tokens, $25 per 1M output tokens, and $0.50 per 1M cache-hit tokens. These are base rates rather than a universal final bill: each amount is multiplied by the multiplier of the group used for the request.

Price table, USD per 1M tokens at base rate: Model | Input | Output | Cache hit claude-opus-5 | $5 | $25 | $0.50 claude-opus-4-8 | $5 | $25 | $0.50 claude-fable-5 | $10 | $50 | $1 claude-sonnet-5 | $2 | $10 | $0.20 gpt-5.5 | $5 | $30 | $0.50 gemini-3.1-pro-preview | $2 | $12 | $0.20 The table compares listed token prices, not output quality, latency, context capacity, or feature compatibility.

Is claude-opus-5 cheaper than comparable OpenAI models?

On the listed base rates, claude-opus-5 matches gpt-5.5 on input price at $5 per 1M tokens, while its output price is lower: $25 versus $30 per 1M tokens. That makes claude-opus-5 less expensive for output-heavy workloads when comparing those two listed base rates.

That conclusion does not establish that one model is a substitute for the other. No task-level quality evaluation, latency measurement, tool-use comparison, or context-window figure for claude-opus-5 is provided here. Teams should run their own representative prompts before routing production traffic based on token price alone.

What would a typical monthly claude-opus-5 bill look like?

For an illustrative monthly workload of 10M fresh input tokens and 2M output tokens, the base-rate calculation is: 10 × $5 + 2 × $25 = $100. In the default group, whose multiplier is ×0.07353, the same illustrative workload is $100 × 0.07353 = $7.353, or about $7.35 before any usage pattern changes.

A cache-heavy example shows why input composition matters. If a month contains 4M fresh input tokens, 6M cache-hit tokens, and 2M output tokens, the base calculation is: 4 × $5 + 6 × $0.50 + 2 × $25 = $73. At the default multiplier, $73 × 0.07353 = $5.36769, or about $5.37. These are calculation examples, not a forecast of actual usage or a quoted monthly commitment.

Does the lowest token price make claude-opus-5 the right choice?

No. claude-opus-5 is not the lowest-priced model in the published list, and a lower token rate can be more appropriate for simpler or high-volume work. For example, claude-sonnet-5 is listed at $2 input and $10 output per 1M tokens, while claude-haiku-4-5-20251001 is listed at $1 input and $5 output per 1M tokens.

The supplied model description characterizes claude-opus-5 as a thoughtful, proactive, cost-efficient agentic model and places it near claude-fable-5 in intelligence. However, the source does not provide a claude-opus-5 context-window value, maximum output value, latency figure, throughput figure, benchmark result, availability commitment, or rate-limit tier. Each of those fields is Not yet measured or not provided for this page, so they should not be inferred from price.

How can I reduce claude-opus-5 token spend?

First, use prompt caching where your request structure supports it. At the base rate, a cache hit for claude-opus-5 is $0.50 per 1M tokens versus $5 per 1M fresh input tokens. Reusing stable instructions, long reference material, or repeated prefixes can therefore change the input side of the bill substantially; the savings still depend on the applicable group multiplier.

Second, route by task class rather than sending every request to the same model. A practical evaluation pattern is to reserve claude-opus-5 for workflows where its agentic positioning is relevant, then test lower-priced candidates such as claude-sonnet-5 or claude-haiku-4-5-20251001 on bounded tasks. Third, consolidate work into batches only when the platform and workload permit it. No batch discount, batch pricing, or batch-processing terms are provided in the available pricing data, so no batch-specific saving should be assumed.

When can claude-opus-5 pricing change, and where should I verify it?

Pricing can change when the published base rate, the applicable group multiplier, model availability, or billing rules change. The source used for these figures is the panel pricing endpoint at https://api.openlux.ai/api/pricing, retrieved on August 4, 2026 at 16:16:08 UTC. Treat this page as a dated cost comparison rather than a permanent quote.

Before estimating a release budget, verify the current entry for claude-opus-5 and the multiplier assigned to the group that will carry the requests. The default group is listed at ×0.07353 and is described as supporting GPT, Claude, and other models, but a final calculation must use the multiplier that actually applies to the account and request path. Payment methods, account setup, and implementation details are covered elsewhere rather than on this cost-comparison page.

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Last updated 2026-08-05　|　Written and maintained by OpenLux.
Latency and pricing figures come from our own measurements. Where they differ from the vendor's site, the vendor's live page wins.