Claude Opus 4.6

AnthropicLegacy

Input price
$5.00
Per 1 million tokens (USD)
Output price
$25.00
Per 1 million tokens (USD)
Effort levels
4total
Default: High
Benchmark results
11total
Benchmark types: 11

Model information

API model ID
claude-opus-4-6
release date
Unknown
effort
Low / Med / High (default) / Max
Effort source
Based on Anthropic effort documentation (platform.claude.com/docs/en/build-with-claude/effort).
Claude Code
available
Codex
unavailable
Availability notes
1M context with `claude-opus-4-6[1m]` (including Max/Ultra/Team/Enterprise). Codex's official model list (learn.chatgpt.com/docs/models) contains only OpenAI models, so codex is false (connections via a custom provider are not counted as official options).
Availability source
https://code.claude.com/docs/en/model-config

Price (USD per 1 million tokens)

Prices do not vary by effort; token consumption does.

input$5.00
output$25.00
cache read$0.50
cache write$6.25

cacheWritePerMTok is for a 5-minute cache write. 1h write $10.

Claude Opus 4.6 | $5 / MTok | $6.25 / MTok | $10 / MTok | $0.50 / MTok | $25 / MTok

Source: https://platform.claude.com/docs/en/about-claude/pricing

Benchmark results

BenchmarkeffortScoreSource cost (metric)measured/reported bysourceConditions and extraction method
Humanity's Last Exam (with tools)MaxMax53.0%—AnthropicIntroducing Claude Opus 4.6official · Retrieved 2026-11-13Vendor-reported value (announced by Anthropic). Text values in the main text and the footnote (the table and figure were not used because they are images). Tools: web search, web fetch, code execution, programmatic tool calling; context compression at 50k (maximum 3M); max reasoning effort; adaptive thinking. Updated from 53.1% following improved cheating detection.transcribed from text
Source excerpt[Feb 23, 2026] Updated reported score for Opus 4.6 for HLE with tools (53.1% to 53.0%).Location Update note at the end of Footnotes on the Opus 4.6 announcement page. The effort is in the Humanity’s Last Exam entry in the same Footnotes (max reasoning effort)
CyberGymnot statednot stated73.8%—AnthropicIntroducing Claude Opus 4.7official · Retrieved 2026-11-13Vendor-reported value (announced by Anthropic). Text values in the main text and the footnote (the table and figure were not used because they are images). Value after updating harness parameters. Effort not stated.transcribed from text
Source excerptCyberGym: Opus 4.6’s score has been updated from the originally reported 66.6 to 73.8, as we updated our harness parameters to better elicit cyber capability.Location Opus 4.7 announcement page, CyberGym entry in Footnotes
GPQA DiamondMaxMax88.4%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, gpqa_diamond.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "Claude Opus 4.6 (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from table
Source excerptgpqa_diamond.csv: Model version=claude-opus-4-6_max, Best score (across scorers)=0.8838383838383839, stderr=0.02282888177524936, Started at=2026-08-06T23:57:58.000ZLocation gpqa_diamond.csv, data row 121 (file line 179), id=JcQMgXdZKU54u52B8TGQKp, Model version=claude-opus-4-6_max
FrontierMath Tiers 1-3(v2)MaxMax66.0%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, frontiermath_tiers_1_3_v2.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "Claude Opus 4.6 (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from table
Source excerptfrontiermath_tiers_1_3_v2.csv: Model version=claude-opus-4-6_max, Best score (across scorers)=0.6596491228070176, stderr=0.028116467881852295, Started at=2026-06-11T00:19:44.000ZLocation frontiermath_tiers_1_3_v2.csv, data row 119 (file line 149), id=kgJ2d6XbKj3dZutDcBYSKU, Model version=claude-opus-4-6_max
FrontierMath Tier 4(v2)MaxMax26.8%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, frontiermath_tier_4_v2.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "Claude Opus 4.6 (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from table
Source excerptfrontiermath_tier_4_v2.csv: Model version=claude-opus-4-6_max, Best score (across scorers)=0.2682926829268293, stderr=0.07005564203095158, Started at=2026-06-11T00:19:44.000ZLocation frontiermath_tier_4_v2.csv, data row 76 (file line 115), id=2hbbp8z6PhB7c2T33os9q5, Model version=claude-opus-4-6_max
OTIS Mock AIME 2024-2025MaxMax91.1%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, otis_mock_aime_2024_2025.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "Claude Opus 4.6 (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from table
Source excerptotis_mock_aime_2024_2025.csv: Model version=claude-opus-4-6_max, Best score (across scorers)=0.9111111111111111, stderr=0.04290254662948546, Started at=2026-08-06T23:58:17.000ZLocation otis_mock_aime_2024_2025.csv, data row 132 (file line 197), id=coxYk5vK5cBhQ7iZohMtA5, Model version=claude-opus-4-6_max
SimpleQA VerifiedMaxMax47.0%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, simpleqa_verified.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "Claude Opus 4.6 (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from table
Source excerptsimpleqa_verified.csv: Model version=claude-opus-4-6_max, Best score (across scorers)=0.47, stderr=0.015790799515836722, Started at=2026-08-27T19:27:45.000ZLocation simpleqa_verified.csv, data row 87 (file line 137), id=85fhMxLaebWtLoi6oLpTbi, Model version=claude-opus-4-6_max
Chess Puzzles(Epoch AI)MaxMax21.0%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, chess_puzzles.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "Claude Opus 4.6 (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from table
Source excerptchess_puzzles.csv: Model version=claude-opus-4-6_max, Best score (across scorers)=0.21, stderr=0.040936018074033236, Started at=2026-10-13T13:43:19.000ZLocation chess_puzzles.csv, data row 98 (file line 149), id=aKc2rzsA6YPYwCkE7nhvvB, Model version=claude-opus-4-6_max
MirrorCodeMaxMax33.3%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, mirrorcode.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "Claude Opus 4.6 (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from table
Source excerptmirrorcode.csv: Model version=claude-opus-4-6_max, Best score (across scorers)=0.3333333333333333, stderr=0.10026420125303973, Started at=2026-10-21T16:48:25.000ZLocation mirrorcode.csv, data row 19 (file line 24), id=Q8sNp4aYrjtYQgVS3BRDTd, Model version=claude-opus-4-6_max
Epoch Capabilities Index(ECI)not statednot stated156.34—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)third-party · Retrieved 2026-11-12A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.transcribed from table
Source excerpteci_scores.csv: Model=Claude Opus 4.6, eci=156.34, eci_ci_low=154.55, eci_ci_high=158.31Location epoch_capabilities_index/eci_scores.csv, data row 37 (file line 38), Model=Claude Opus 4.6
τ²-bench banking_knowledge (v1.0.1)MaxMax27.3%—Sierraτ²-bench leaderboard submission claude-opus-4-6_sierra_2026-05-05 (sierra-research/tau2-bench, MIT)third-party · Retrieved 2026-11-13τ²-bench leaderboard submission claude-opus-4-6_sierra_2026-05-05 (submission_type standard, tau2_bench_version 1.0.1). Submitter "Sierra", model_organization "Anthropic": Run by Sierra, which operates τ²-bench (third-party measurement). Verified by the leaderboard (prompts not modified, no questions omitted). Trajectories are not public (preliminary comparison). The value is pass^1 (%). reasoning_effort "max". User simulator gpt-5.2 (reasoning_effort low). Search configuration retrieval_config "alltools". Evaluation date 2026-05-06. Notes summary: rescored on 2026-07-15 following a scoring correction in v1.0.1; 4 trial runs; seed 300.transcribed from table
Source excerptbanking_knowledge.pass_1=27.32Location In submissions/claude-opus-4-6_sierra_2026-05-05/submission.json: results.banking_knowledge.pass_1 (line 22 of file). model_name "Claude Opus 4.6". verification.details (line 39) is "Trajectories suppressed for this preliminary AllTools comparison". methodology.notes (line 35)

Related rankings

References