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Claude Opus 5: Pricing, Benchmarks, and Cost

Claude Opus 5 ships at $5/$25 per million tokens with an effort dial, matching Fable 5 intelligence at half the price. Benchmarks, specs, and cost per task.

By Capital & Compute

Claude Opus 5 is Anthropic’s new flagship AI model, released on July 24, 2026 and made the default on Claude Max the same day. The headline for anyone budgeting an AI workload is what did not change: the rate is still $5 per million input tokens and $25 per million output tokens, exactly where the Opus 4.8 it replaces sat. What did change is a new effort dial and a capability jump that, on the one independent benchmark, puts Opus 5 a hair above Anthropic’s far pricier Fable 5.

Here is what Opus 5 costs, what the effort dial does to the bill, how it compares to Fable 5, and whether any of it moves the cost per finished task.

How much does Claude Opus 5 cost?

Standard API pricing is $5 per million input tokens and $25 per million output tokens, per Anthropic’s pricing documentation. That is identical to the Opus 4.8 it replaces. A prompt-cache read bills at $0.50 per million tokens, roughly 10% of input, which matters because coding agents lean heavily on cached context.

Model Input / Mtok Output / Mtok Cache read / Mtok Position
Claude Opus 5 $5.00 $25.00 $0.50 current flagship
Claude Opus 4.8 (legacy) $5.00 $25.00 $0.50 superseded, still available
Claude Fable 5 $10.00 $50.00 $1.00 top capability tier
Claude Sonnet 5 $3.00 $15.00 $0.30 mid-tier
Claude Haiku 4.5 $1.00 $5.00 $0.10 cheapest tier

For the dated, sourced rate card across every current model, the AI model tracker keeps them current, and the cost-per-task calculator prices Opus 5 against the rest on your own workload shape.

The effort dial: paying for intelligence by the task

The genuinely new thing in Opus 5 is an effort setting. Anthropic exposes low, medium, and high in the product, plus xhigh and max on the API, letting a caller optimize for intelligence or conserve tokens on a per-request basis. The setting is not free: higher effort means more thinking tokens, and thinking tokens bill at the output rate.

The payoff is visible on the independent Artificial Analysis Intelligence Index, a third-party composite of reasoning, knowledge, math, and coding tests. Opus 5 climbs from 56 at medium effort to 61 at max, a five-point spread on a hundred-point scale that you dial in or out by the task.

Claude Opus 5 Intelligence Index by effort settingA lollipop chart with four rows. Medium effort scores 56, high effort 59, xhigh effort 60, and max effort 61 on the Artificial Analysis Intelligence Index. The score rises with effort.020406080Medium effort56High effort59Xhigh effort60Max effort61
Claude Opus 5 Intelligence Index by effort setting
ItemValue
Medium effort56
High effort59
Xhigh effort60
Max effort61
Claude Opus 5 on the Artificial Analysis Intelligence Index across its four API effort settings. Higher effort buys a higher score by spending more thinking tokens, which bill at the output rate. The gap from medium to max is five points.Source: Artificial Analysis, Claude Opus 5 model page (Intelligence Index by effort level)

The practical read: run low or medium effort for routine, well-scoped work, and reserve high or max for the hardest tasks where a few points of reliability pay for the extra tokens. It is the same intelligence-versus-cost trade the whole cost-per-task question turns on, now set with a parameter instead of a model swap.

Opus 5 versus Fable 5: frontier intelligence at half the price

Anthropic pitches Opus 5 as coming close to the frontier intelligence of Fable 5 at half the price. On the independent index, it does not merely come close: Opus 5 at max effort scores 61 against Fable 5 at 60 and GPT-5.6 Sol at 59, per Artificial Analysis. It does that at $25 per million output tokens against Fable 5 at $50.

Top models: Intelligence Index against output priceA scatter plot of Artificial Analysis Intelligence Index on the horizontal axis against output price per million tokens on the vertical axis. Claude Opus 5 is at index 61 and 25 dollars, Claude Fable 5 at 60 and 50 dollars, and GPT-5.6 Sol at 59 and 30 dollars. Opus 5 has the highest score at the lowest price.$25$30$35$40$45$505959.56060.561Intelligence Index (max effort)Output $ / MtokClaude Opus 5Claude Fable 5GPT-5.6 Sol
Top models: Intelligence Index against output price
ItemIntelligence Index (max effort)Output $ / Mtok
Claude Opus 561$25
Claude Fable 560$50
GPT-5.6 Sol59$30
Intelligence Index against output price for the three top models. Opus 5 (highlighted) posts the highest score at the lowest output price of the group: half Fable 5's per-token rate for a marginally higher index.Source: Artificial Analysis Intelligence Index (max effort); output rates from Anthropic and OpenAI pricing pages

Artificial Analysis reaches the same conclusion independently, framing the release as Fable 5 level intelligence at a lower cost per task. One caveat worth keeping: Opus 5 is verbose. Artificial Analysis measured it generating about 100 million tokens to complete the full index run against a 63-million median, so a lower per-token rate does not automatically mean a lower bill if the model talks more to get there. To cost a specific matchup on finished-job terms, the model comparison tool prices Opus 5 against Fable 5, Sonnet 5, and the rest on the same task.

What changed from Opus 4.8

The specs are a clean upgrade at the same price: a 1M-token context window, the effort dial, and the claude-opus-5 API id, available across Claude.ai, Claude Code, and the Claude API.

Spec Claude Opus 5
Context window 1M tokens
Effort settings low, medium, high (xhigh, max on API)
API id claude-opus-5
Standard price $5 / $25 per Mtok
Released July 24, 2026

On the benchmarks Anthropic published with the launch, Opus 5 is a large step over Opus 4.8. Anthropic reports it setting a new state of the art on Frontier-Bench v0.1, CursorBench 3.2, ARC-AGI 3, and OSWorld 2.0, more than doubling Opus 4.8’s Frontier-Bench result and landing within 0.5% of Fable 5’s peak CursorBench score at half the cost per task. It stays behind the safety-hardened Mythos 5 on cybersecurity and biology tasks. What each of those tests actually measures, who built it, and where its official leaderboard lives is broken down in the AI benchmarks directory.

Does it change the cost per task?

At the sticker level, no. Because $5 / $25 is unchanged from Opus 4.8, a task that cost a given amount on Opus 4.8 costs the same on Opus 5 at the same effort and token count. The cost-per-task math carries over unchanged.

Two things do move the real bill, and they pull in opposite directions. The effort dial lets you spend less on routine work by running lower effort, which the old fixed-effort Opus line could not do. Against that, Opus 5’s verbosity and the thinking tokens that high effort spends can raise the token count on a given task even at the same rate. The number to budget on is dollars per finished task on your own workload, not the rate on the card, the same lens that applied to the Sonnet 5 pricing question and the three-way Opus, Fable 5, and GPT-5.6 comparison.

Should you switch?

For most Opus workloads the switch already happened: Opus 5 is the new default on Claude Max and the strongest model on Claude Pro. Three rules cover the API decision:

  1. Coming from Opus 4.8, move and set the effort dial. Same price, higher scores, plus a lever to run cheaper on routine work. Pin 4.8 only for a frozen snapshot.
  2. Coming from Fable 5, test Opus 5 at max effort on your hardest task. If it clears your bar, you halve the token price for equal-or-better index performance.
  3. Watch verbosity, not just the rate. Measure output tokens per finished task before assuming the lower rate translates into a lower bill.

Opus 5 is the rare release that raises capability while holding the sticker flat and hands you a dial to spend less on the easy work. For once the rate card did not move and the model got better. The figure to watch is still cost per finished task on your own jobs, and now you have a parameter to tune it.

Frequently asked questions

How much does Claude Opus 5 cost?
Standard API pricing is $5 per million input tokens and $25 per million output tokens, the same rate as Opus 4.8. Prompt-cache reads bill at $0.50 per million tokens. A premium Fast Mode runs at $10 / $50 for about 2.5 times the default output speed.
Is Claude Opus 5 more expensive than Opus 4.8?
No. Opus 5 costs exactly the same at the standard rate, $5 input and $25 output per million tokens, and replaces Opus 4.8 as the flagship.
What is the Claude Opus 5 effort dial?
An effort setting with low, medium, and high levels in the product, plus xhigh and max on the API. Higher effort spends more thinking tokens for a higher score: on the Artificial Analysis Intelligence Index, Opus 5 rises from 56 at medium effort to 61 at max.
How does Claude Opus 5 compare to Fable 5?
At max effort, Opus 5 scores 61 on the independent Artificial Analysis Intelligence Index against Fable 5 at 60, while costing $25 per million output tokens versus Fable 5 at $50. It reaches near-frontier intelligence at roughly half the token price.
What is the context window and API id of Claude Opus 5?
Opus 5 has a 1M-token context window and the API id claude-opus-5. It is available on Claude.ai, Claude Code, and the Claude API, and is the default model on Claude Max.

Sources

  • Anthropic. (2026). Introducing Claude Opus 5 [vendor launch post; release date, positioning, effort setting, launch benchmarks, Fast Mode]. Verified 2026-07-25. anthropic.com/news/claude-opus-5
  • Anthropic. (2026). Pricing [Claude Platform docs; standard $5 / $25 rate, $0.50 cache read, $10 / $50 Fast Mode, batch and cache multipliers]. Verified 2026-07-25. platform.claude.com/docs/en/about-claude/pricing
  • Artificial Analysis. (2026). Claude Opus 5: Intelligence, Performance and Price Analysis [independent; Intelligence Index by effort level, output-token volume, comparison with Fable 5 and GPT-5.6 Sol]. Verified 2026-07-25. artificialanalysis.ai/models/claude-opus-5
  • Artificial Analysis. (2026). Opus 5: Fable 5 level intelligence at a lower cost per task [independent analysis article]. Verified 2026-07-25. artificialanalysis.ai/articles/opus-5

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