Claude Opus 5 pricing: real cost per million tokens

What Anthropic's Claude Opus 5 really costs across 5 plans from 2 providers: monthly fees, usable allowances and real per-token prices, against the official API list price and independent leaderboards.

Data updated · How real prices are computed

As of 2026-10-08, the cheapest way to use Claude Opus 5 is Claude Pro at a real cost of about $0.00772 per million tokens ($20/month for roughly 2.589B tokens a month). We track 5 plans and API channels that serve Claude Opus 5. Official API list price per million tokens: $0.5 cached input, $5 input, $25 output — about $0.735 per million tokens on a standard workload mix.

Lowest real price
$0.00772/MTokClaude Pro
API list price
$0.735/MTokstandard workload mix
Most monthly tokens
15.7BClaude Max 20x (9/14+)
Plans & APIs
54 subscriptions · 1 metered API
Maker
Anthropic
Model ID
claude-opus-5
Providers
Anthropic, Factory
Leaderboards
Artificial Analysis Intelligence Index v4.3, Terminal-Bench 4.0, Terminal-Bench 4.0 (AA), Code Arena | WebDev Overall, Agent Arena · Overall (Ranking / Pareto), Artificial Analysis Coding Agent Index v1.5, DeepSWE v1.1

Plot Claude Opus 5 on the price–capability chart →

Claude Opus 5 plans and real prices

Real price = monthly fee ÷ tokens you can actually use in a month. “vs API” shows how many times cheaper than the official API list price (standard workload mix) the plan is. “Evidence” opens the full calculation and sources for that row.

Every tracked way to use Claude Opus 5, cheapest first
PlanProviderBillingMonthly feeMonthly tokensReal $/MTokvs APIConfidenceData date
Claude ProAnthropicSubscription$20/mo2.589B$0.0077295.1×HighEvidence ↓
Claude Max 5x (9/14+)AnthropicSubscription$100/mo7.85B$0.0127457.7×MediumEvidence ↓
Claude Max 20x (9/14+)AnthropicSubscription$200/mo15.7B$0.0127457.7×MediumEvidence ↓
Droid MaxFactorySubscription$200/mo2.021B$0.098977.4×MediumEvidence ↓
Claude Opus 5 APIAnthropicMetered API——$0.7663—HighEvidence ↓

Behind each number

For every plan: the data date, the exact calculation, the quota basis, how leaderboard scores were mapped, and the original adoption evidence with its sources.

Claude ProAnthropic$0.00772499/MTok
Data date
2026-09-14 – 2026-09-22 · sampled
Real price / MTok
$0.00772499
Monthly tokens
2,589,000,000 (2.589B)
Quota confidence
High
Calculation
$20 / month ÷ 2,589,000,000 tokens × 1,000,000 ≈ $0.00772499 / MTok
Quota basis

Anthropic workload: 97% cache reads / 2.5% cache writes / 0.5% output

Official API list (cached / in / out, per MTok): $0.5 / $5 / $25 · standard-load blended ≈ $0.735/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (5 configurations)
Terminal-Bench 4.0: Low (5 configurations)
Terminal-Bench 4.0 (AA): Low (5 configurations)
Code Arena | WebDev Overall: Low (2 configurations)
Agent Arena · Overall (Ranking / Pareto): Low (2 configurations)
Artificial Analysis Coding Agent Index v1.5: Low (1 configuration)
DeepSWE v1.1: Low (5 configurations)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

issue #53 (NTRYourWaifu): two Pro accounts polling /api/oauth/usage seven_day % on 9/14~9/22, deduplicated by message.id — Opus 5 total 1,022.02M raw = +148pp of the week; community-issues-round1-2026-09-29.json; the old source X @shownotover Pro /usage panel 32.87M = 7% of the weekly pool (claude-adoption-round8-2026-09-20.json) is no longer weighted; workload-conversion-round1-2026-09-30.json

2.762B→2.589B (2026-09-30 decision: uniform workload-normalization for measured samples with token breakdown, Anthropic tier): segment worth $733.93 (read 1,004.96M×$0.5 + 1h write 12.99M×$10 + in 0.01M×$5 + out 4.06M×$25) = $4.96 per 1% → $495.9/week ×4 weeks ÷ Anthropic-tier blended price $0.76625/MTok; the raw-basis 27.62 is kept for comparison. The issue #53 adoption decision — 1.878B→2.762B, 2026-09-30 decision switching to issue #53: two Pro accounts, all after the permanent 9/14 +25%: 1,022.02M raw (read 1,004.96M / 1h write 12.99M / in 0.01M / out 4.06M) = +148 weekly percentage points → 6.906M/pp ×100 ×4 weeks; the two full weeks give 2.460B and 2.896B respectively; worth per 1% at list prices is $4.96. The old panel sample gives $3.67 per 1% (7% integer reading, interval 1.753B~2.023B) — 35%/47% higher, close to the +25% adjustment, presumably measured before 9/14, so it is not merged (the merged 2.722B is not adopted); the Anthropic-tier worth basis is 2.589B (ruled adopted from 2026-09-30, see first line). Tension: the ratio to the Max 20x adopted value 157 changes from 8.35× to 5.68×, inconsistent with Opus 5.5's 301.7/30.54≈9.9× — pointing to the Max 20x basis or the 5.5/5 pool weights (#52/#53 derive ≈0.843), pending ruling. Original old 18.78 decision text — Opus 4.8's historical 1.588B → Opus 5 panel back-derivation 1.878B: 32,868,513 total (opus5 32.85M + haiku 23k) ÷7%×4 weeks; weekly pool 470M, 5h pool 56.7M — the weekly pool is the binding constraint; weekly-% rounding interval about 1.75B~2.02B; single session n=1, initially medium; round5's Opus5 candidate ≈190M (assuming weekly message counts) was voided by the direct panel measurement; the list-price closure check $25.68 agrees; 2026-09-21 decision: Opus 4.8's old measurement gets no weight — round8 had used the baseline-period reading ×1.25 = 1.985B as corroboration, but round6 records that value as containing a +50% promo boost; the faithful mapping ÷1.5×1.25 = 1.323B contradicts the panel, so only the panel source stands; round9's second post by the same author, 40M = 13% of the week, is recorded as tension: new-week reading 1.23B / continuing-week reading 2.67B / lower-bound reading non-binding — the baseline is unknowable, not weighted; 2026-09-21 decision raising to high: panel-grade form + price closure check + post-cut basis + self-consistent 8.35× weekly-pool ratio vs Max 20x; #3's new-week reading 1.23B would unbalance the Max pool ratio (a $20 tier getting a $100 tier's relative pool share is abnormal), corroborating the 18.78 side. Note: '8.28 windows/week isomorphic to Max' was once cited as corroboration; after round9 checkpoints back-derived the Max tier's 5h pool at ~710M (not the 474M full-window reading), that corroboration was withdrawn — Max's full windows per week are ~5.5, not 8.3

Claude Max 5x (9/14+)Anthropic$0.0127389/MTok
Data date
2026-08 · derived; uses the data date of Claude Max 20x (9/14+) · claude-opus-5
Real price / MTok
$0.0127389
Monthly tokens
7,850,000,000 (7.85B)
Quota confidence
Medium
Calculation
$100 / month ÷ 7,850,000,000 tokens × 1,000,000 ≈ $0.0127389 / MTok
Quota basis

Not workload-normalized: sample lacks a token breakdown (or is an official absolute token table); raw tokens used as-is

Official API list (cached / in / out, per MTok): $0.5 / $5 / $25 · standard-load blended ≈ $0.735/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (5 configurations)
Terminal-Bench 4.0: Low (5 configurations)
Terminal-Bench 4.0 (AA): Low (5 configurations)
Code Arena | WebDev Overall: Low (2 configurations)
Agent Arena · Overall (Ranking / Pareto): Low (2 configurations)
Artificial Analysis Coding Agent Index v1.5: Low (1 configuration)
DeepSWE v1.1: Low (5 configurations)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

Confirmed the 20x weekly pool is exactly 2× the 5x pool; claude-adoption-round6-2026-09-06.json

Old 3.56B→7.85B, permanent basis from 9/14: 157÷2; low→medium, inferred from the confirmed weekly-pool relation — not an independent measurement; neither the 3.6B message-count candidate nor 7B / the old 2.25× multiplier adopted; the 4× relation of the 5h window is not applied to the weekly pool

Claude Max 20x (9/14+)Anthropic$0.0127389/MTok
Data date
2026-08 · sampled
Real price / MTok
$0.0127389
Monthly tokens
15,700,000,000 (15.7B)
Quota confidence
Medium
Calculation
$200 / month ÷ 15,700,000,000 tokens × 1,000,000 ≈ $0.0127389 / MTok
Quota basis

Not workload-normalized: sample lacks a token breakdown (or is an official absolute token table); raw tokens used as-is

Official API list (cached / in / out, per MTok): $0.5 / $5 / $25 · standard-load blended ≈ $0.735/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (5 configurations)
Terminal-Bench 4.0: Low (5 configurations)
Terminal-Bench 4.0 (AA): Low (5 configurations)
Code Arena | WebDev Overall: Low (2 configurations)
Agent Arena · Overall (Ranking / Pareto): Low (2 configurations)
Artificial Analysis Coding Agent Index v1.5: Low (1 configuration)
DeepSWE v1.1: Low (5 configurations)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

Zenn skipbit measurement + maintainer's permanent-basis figure; claude-adoption-round6-2026-09-06.json

Old 8B→15.7B, permanent basis from 9/14: 4.72B/week ×4 weeks ÷1.5 ×1.25, then rounded; reference interval 11B~20B. Mixed-model and not-fully-same-window samples — not a hard cap from pure Opus 5 measurement; neither the promo-period 189 nor the bare-baseline 126 adopted; round9 alldonesites pure-Opus5 full-window median 474M (cluster 415M~474M across three sources) is a window-capacity reading — the 5h-pool basis remains disputed: chudi checkpoint back-derivation ~710M vs the official 20× Pro implying 1.134B, and Max's full windows per week are ~5.5 rather than the earlier-noted 8.3, so window structure is not used as adoption evidence; after the round9 timeline correction the Reddit audit turns positive: "this week" 2.1B cache-read on one account = 52% of the week is a post-9/17-reset post-cut reading → weekly pool ≈4.0B → 16.1B/month, within 3% of the adopted value — the best weekly-pool corroboration for a pure Opus workload; "last week" 23.7B raw = 230% fits the promo-period large-pool basis and is no longer contradictory; the only remaining low-end tension is its 5-window assumption of 9.5B; not workload-normalized: the Zenn mixed-model sample has no token breakdown, kept raw

Droid MaxFactory$0.0989707/MTok
Data date
2026-09-29 · derived; uses the data date of Droid Max · claude-opus-5.5
Real price / MTok
$0.0989707
Monthly tokens
2,020,800,000 (2.021B)
Quota confidence
Medium
Calculation
$200 / month ÷ 2,020,800,000 tokens × 1,000,000 ≈ $0.0989707 / MTok
Quota basis

Anthropic workload: 97% cache reads / 2.5% cache writes / 0.5% output

Official API list (cached / in / out, per MTok): $0.5 / $5 / $25 · standard-load blended ≈ $0.735/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (5 configurations)
Terminal-Bench 4.0: Low (5 configurations)
Terminal-Bench 4.0 (AA): Low (5 configurations)
Code Arena | WebDev Overall: Low (2 configurations)
Agent Arena · Overall (Ranking / Pareto): Low (2 configurations)
Artificial Analysis Coding Agent Index v1.5: Low (1 configuration)
DeepSWE v1.1: Low (5 configurations)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

Derived from same-plan claude-opus-5.5 2.526B × 0.8

Factory official multipliers Opus 5.5 1.6× / claude-opus-5 2×: the same Standard Usage pool scaled by multiplier — not a measurement of this model; inherits the Opus 5.5 row's Anthropic-tier workload, not recomputed for each model's own price gap; docs.factory.ai/docs/models; droid-model-multipliers-2026-09-29.json

Claude Opus 5 APIAnthropic$0.76625/MTok
Data date
2026-09-05 · official source date
Real price / MTok
$0.76625
Quota confidence
High
Calculation
Metered API · public token prices weighted by the Anthropic workload (input share at the 5-minute cache-write rate).
Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (5 configurations)
Terminal-Bench 4.0: Low (5 configurations)
Terminal-Bench 4.0 (AA): Low (5 configurations)
Code Arena | WebDev Overall: Low (2 configurations)
Agent Arena · Overall (Ranking / Pareto): Low (2 configurations)
Artificial Analysis Coding Agent Index v1.5: Low (1 configuration)
DeepSWE v1.1: Low (5 configurations)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

platform.claude.com/docs/en/about-claude/pricing

List price cached 0.5/in 5.0/out 25.0, cache write (5m) $6.25 × Anthropic unified workload 97.0%/2.50%/0.50% (the regular-input share is billed at the 5-minute cache-write price)

Claude Opus 5 benchmark scores

Highest archived configuration per leaderboard; ranks are among all models each board archives in this dataset. Scores are never mixed across boards.

Claude Opus 5 on independent leaderboards
LeaderboardMetricScoreRankConfigurationEffortHarnessConfigsSnapshot
Artificial Analysis Intelligence Index v4.3Intelligence Index50.78#6 / 60Claude Opus 5 (max)Max—52026-10-01
Terminal-Bench 4.0Resolution Rate %53.94#4 / 18Claude Code - Opus 5 (xhigh)xhighClaude Code52026-09-21
Terminal-Bench 4.0 (AA)Resolution Rate %48.99#6 / 53Artificial Analysis - Claude Opus 5 (max)MaxArtificial Analysis52026-10-01
Code Arena | WebDev OverallArena Score1,694#6 / 54claude-opus-5-maxMax—22026-09-30
Agent Arena · Overall (Ranking / Pareto)Net Improvement %8.76#5 / 39Claude Opus 5 (High)High—22026-09-30
Artificial Analysis Coding Agent Index v1.5Coding Agent Index59.73#6 / 19Claude Code - Opus 5 (max)MaxClaude Code12026-10-01
DeepSWE v1.1Pass@1 %73.65#4 / 33mini-swe-agent - claude-opus-5 (max)Maxmini-swe-agent52026-09-03

Every archived configuration

Artificial Analysis Intelligence Index v4.3 5 configurations
Artificial Analysis Intelligence Index v4.3: every archived configuration (Intelligence Index)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
Claude Opus 5 (max)50.7771—— / Max / —— / —2026-10-01Source · Archive
Claude Opus 5 (xhigh)49.6774—— / xhigh / —— / —2026-10-01Source · Archive
Claude Opus 5 (high)48.1219—— / High / —— / —2026-10-01Source · Archive
Claude Opus 5 (medium)44.8253—— / Medium / —— / —2026-10-01Source · Archive
Claude Opus 5 (low)39.3543—— / Low / —— / —2026-10-01Source · Archive
Terminal-Bench 4.0 5 configurations
Terminal-Bench 4.0: every archived configuration (Resolution Rate %)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
Claude Code - Opus 5 (xhigh)Official Terminal-Bench 4.0 leaderboard row; score belongs to this harness × model × effort configuration.53.9450.77 – 57.11Claude Code / xhigh / —— / —2026-10-01Source · Archive
Claude Code - Opus 5 (max)Official Terminal-Bench 4.0 leaderboard row; score belongs to this harness × model × effort configuration.51.8248.43 – 55.21Claude Code / Max / —— / —2026-10-01Source · Archive
Claude Code - Opus 5 (high)Official Terminal-Bench 4.0 leaderboard row; score belongs to this harness × model × effort configuration.50.346.57 – 54.03Claude Code / High / —— / —2026-10-01Source · Archive
Claude Code - Opus 5 (medium)Official Terminal-Bench 4.0 leaderboard row; score belongs to this harness × model × effort configuration.44.8541.02 – 48.68Claude Code / Medium / —— / —2026-10-01Source · Archive
Claude Code - Opus 5 (low)Official Terminal-Bench 4.0 leaderboard row; score belongs to this harness × model × effort configuration.34.8530.91 – 38.79Claude Code / Low / —— / —2026-10-01Source · Archive
Terminal-Bench 4.0 (AA) 5 configurations
Terminal-Bench 4.0 (AA): every archived configuration (Resolution Rate %)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
Artificial Analysis - Claude Opus 5 (max)AA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board.48.9899—Artificial Analysis / Max / —— / —2026-10-01Source · Archive
Artificial Analysis - Claude Opus 5 (xhigh)AA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board.46.4646—Artificial Analysis / xhigh / —— / —2026-10-01Source · Archive
Artificial Analysis - Claude Opus 5 (high)AA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board.45.9596—Artificial Analysis / High / —— / —2026-10-01Source · Archive
Artificial Analysis - Claude Opus 5 (medium)AA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board.34.3434—Artificial Analysis / Medium / —— / —2026-10-01Source · Archive
Artificial Analysis - Claude Opus 5 (low)AA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board.26.2626—Artificial Analysis / Low / —— / —2026-10-01Source · Archive
Code Arena | WebDev Overall 2 configurations
Code Arena | WebDev Overall: every archived configuration (Arena Score)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
claude-opus-5-max1,6941,687.5 – 1,700.5— / Max / —— / —2026-10-01Source · Archive
claude-opus-5-high1,6601,654.3 – 1,665.7— / High / —— / —2026-10-01Source · Archive
Agent Arena · Overall (Ranking / Pareto) 2 configurations
Agent Arena · Overall (Ranking / Pareto): every archived configuration (Net Improvement %)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
Claude Opus 5 (High)8.767.26 – 10.26— / High / —— / $2.52026-10-01Source · Archive
Claude Opus 5 (Max)8.556.98 – 10.12— / Max / —— / $3.592026-10-01Source · Archive
Artificial Analysis Coding Agent Index v1.5 1 configuration
Artificial Analysis Coding Agent Index v1.5: every archived configuration (Coding Agent Index)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
Claude Code - Opus 5 (max)Score belongs to this named agent/harness × model configuration; it is not a harness-independent model measurement. indexScore stored as percent (raw fraction × 100).59.7264—Claude Code / Max / —$10.79 / —2026-10-01Source · Archive
DeepSWE v1.1 5 configurations
DeepSWE v1.1: every archived configuration (Pass@1 %)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
mini-swe-agent - claude-opus-5 (max)73.648669.776 – 77.521mini-swe-agent / Max / —$11.84 / $10.432026-09-12Source · Archive
mini-swe-agent - claude-opus-5 (xhigh)73.154470.093 – 76.215mini-swe-agent / xhigh / —$9.072 / $7.9292026-09-12Source · Archive
mini-swe-agent - claude-opus-5 (high)72.828570.883 – 74.774mini-swe-agent / High / —$6.076 / $4.9692026-09-12Source · Archive
mini-swe-agent - claude-opus-5 (medium)68.903867.731 – 70.076mini-swe-agent / Medium / —$3.29 / $2.4822026-09-12Source · Archive
mini-swe-agent - claude-opus-5 (low)58.129255.798 – 60.46mini-swe-agent / Low / —$1.663 / $1.2162026-09-12Source · Archive

These are reference mappings, not benchmarks of a subscription or API channel. Harness and quota-measurement effort alignment are unverified. Source task costs are not subscription task costs.

Claude Opus 5 official API pricing

List price per million tokens
Cached inputInputOutput
$0.5$5$25

Frequently asked questions

How much does Claude Opus 5 really cost per million tokens?

Measured as monthly fee ÷ tokens you can actually use, Claude Opus 5 ranges from $0.00772 (Claude Pro) to $0.7663 (Claude Opus 5 API) per million tokens.

Which subscription gives the most Claude Opus 5 usage?

Claude Max 20x (9/14+) allows roughly 15.7B tokens of Claude Opus 5 per month for $200.

What is the official API price of Claude Opus 5?

Official API list price per million tokens: $0.5 cached input, $5 input, $25 output — about $0.735 per million tokens on a standard workload mix.

How does Claude Opus 5 score on independent leaderboards?

Claude Opus 5 has scores on 7 leaderboards; its strongest placement is 50.78 (Intelligence Index) on Artificial Analysis Intelligence Index v4.3, #6 of 60 models tracked.

Who makes Claude Opus 5, and where can I use it?

Claude Opus 5 (model ID claude-opus-5) is made by Anthropic and is available through Anthropic, Factory.

More Anthropic models