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Model profile

Claude Opus 4.7

AnthropicCurrentReleased Apr 16, 2026
Data verified
Overall Score
71.94Public #12 of 200Verified #10 of 99
Arena Elo
1494
Eligible category ranks
3of 8
Price (1M tokens)
$5 in / $25 out
API pricing
Speed
Not listed
Context
1M

Evidence coverage

21 of 323 tracked benchmarks are published. 8 are verified and 13 provisional. 7 of 8 categories are measured.

Updated July 23, 2026Methodology
Published / tracked
21 / 323
Verified
8
Provisional
13
Categories with evidence
7 / 8

Evidence by category

  • Agentic4 benchmarks
    Mixed evidence
  • Coding4 benchmarks
    Mixed evidence
  • Reasoning2 benchmarks
    Reported
  • Knowledge6 benchmarks
    Reported
  • Math2 benchmarks
    Verified
  • Multilingual0 benchmarks
    Not measured
  • Multimodal2 benchmarks
    Reported
  • Inst. Following1 benchmark
    Reported
ProprietaryNon-Reasoning
Confidence:
Low
base

Claude Opus 4.7 ranks #12 out of 200 models on the public leaderboard with an overall score of 71.94/100. It also ranks #10 out of 99 on the verified leaderboard. This places it in the upper tier of AI models, with competitive scores across most benchmark categories.

Claude Opus 4.7 is a proprietary model with a 1M token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

Claude Opus 4.7 sits inside the Claude Opus 4.7 family alongside Claude Opus 4.7 (Adaptive). BenchLM links it directly to Claude Opus 4.6 as the earlier related model in that lineage. This profile currently has 21 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Its strongest category is Coding (#8), while its weakest is Knowledge (#36). This performance profile makes it particularly well-suited for software development and code generation tasks.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 69.7573.51

  1. GPT-5.5
    OpenAI
    #973.51
    GPT-5.5 is #9 with a score of 73.51.
    Compare
  2. Qwen3.7 Max
    Alibaba
    #1072.84
    Qwen3.7 Max is #10 with a score of 72.84.
    Compare
  3. GPT-5.6 Terra
    OpenAI
    #1172.57
    GPT-5.6 Terra is #11 with a score of 72.57.
    Compare
  4. Claude Opus 4.7Current model
    Anthropic
    #1271.94
    Claude Opus 4.7 is #12 with a score of 71.94.
  5. Muse Spark
    Meta
    #1371.04
    Muse Spark is #13 with a score of 71.04.
    Compare
  6. MiMo-V2.5-Pro
    Xiaomi
    #1470.19
    MiMo-V2.5-Pro is #14 with a score of 70.19.
    Compare
  7. MiniMax M3
    MiniMax
    #1569.75
    MiniMax M3 is #15 with a score of 69.75.
    Compare

Category percentile

More

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

  1. Coding94%
    Eligible cohort rank #8 of 122Category score 68.4
  2. Agentic82%
    Eligible cohort rank #22 of 119Category score 54.8
  3. Knowledge31%
    Eligible cohort rank #36 of 52Category score 64.6

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #22 of 119Percentile 82ndWeight 22%4 benchmarksMixed sources54.8
CodingRank #8 of 122Percentile 94thWeight 20%4 benchmarksMixed sources68.4
ReasoningWeight 17%2 benchmarksReportedScore pending
KnowledgeRank #36 of 52Percentile 31stWeight 12%6 benchmarksReported64.6
MathRank Not rankedWeight 5%2 benchmarksVerified61.9
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%2 benchmarksReportedScore pending
Inst. FollowingWeight 5%1 benchmarkReportedScore pending

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
ViewEloConfidence intervalVotes
Text Overall1494±4.250,890
Coding1549±6.514,491
Math1493±12.22,627
Instruction Following1493±6.117,352
Creative Writing1483±7.98,647
Multi-turn1519±7.79,076
Hard Prompts1519±5.033,785
Hard Prompts (English)1522±6.216,679
Longer Query1509±5.922,653

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Agentic4 benchmarks
τ²-bench resultsReported

τ²-Bench Tool-Agent-User Evaluation

74%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Gert LabsBenchmark exact

Gert Labs Composite Game Benchmark

65.59%Display only
Source: Gert Labs rankingsProvenance: Gert Labs reports this composite leaderboard score in the public rankings API. BenchLM scales the source gscore from 0-1 to 0-100 and stores it as a display-only agentic benchmark.
ResearchClawBenchBenchmark exact
20.7%Display only
Source: ResearchClawBench leaderboardProvenance: ResearchClawBench reports this model as ResearchHarness (Claude-Opus-4.7) in the official Pass@1 leaderboard. BenchLM stores the one-decimal RADS average on the local ResearchClawBench display key and excludes it from weighted rankings.
OSWorld 2.0Benchmark exact
13.9%Display only
Source: OSWorld 2.0 paperProvenance: OSWorld 2.0 reports Claude Opus 4.7 single action on its 500-step main table. BenchLM stores the binary completion score and notes the corresponding partial score was 49.1%.
Coding4 benchmarks
Vibe Code BenchBenchmark exact

Vibe Code Bench v1.1

71.00%Display only
Source: Vals AI: Vibe Code Bench v1.1Provenance: Vals Vibe Code Bench v1.1 reports this exact row under anthropic/claude-opus-4-7; BenchLM stores it on the local vibeCodeBench key.
React Native EvalsBenchmark exact
82.8%Display only
Source: React Native Evals leaderboardProvenance: React Native Evals reports this exact overall score for Claude Opus 4.7 in the public dashboard run finished on 2026-04-28.
AA-SciCodeReported

Artificial Analysis SciCode

50.1%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
FrontierCode 1.1 MainBenchmark exact
38.5%Display only
Source: Cognition: FrontierCode 1.1Provenance: Cognition reports Claude Opus 4.7 at 38.5% on FrontierCode 1.1 Main, using the best max effort row from the published data JSON.
Reasoning2 benchmarks
AA-LCRReported

Artificial Analysis Long Context Reasoning

67.0%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
CritPtReported

Critical Physics Tasks

5.1%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Knowledge6 benchmarks
Artificial Analysis Intelligence IndexReported
42.7%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-GPQA DiamondReported

Artificial Analysis GPQA Diamond

88.5%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-HLEReported

Artificial Analysis Humanity's Last Exam

31.2%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience IndexReported

Artificial Analysis Omniscience Index

14.2%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience AccuracyReported

Artificial Analysis Omniscience Accuracy

43.5%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience Hallucination RateReported

Artificial Analysis Omniscience Hallucination Rate

51.9%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Math2 benchmarks
FrontierMath v2 (Tiers 1-3)Benchmark exact

FrontierMath v2 Tiers 1-3

43.793%Weighted 30%
Source: Epoch AI FrontierMath v2 leaderboardProvenance: Epoch AI reports FrontierMath v2 Tiers 1-3 at 43.793% for claude-opus-4-7_xhigh. BenchLM selects the highest published thinking effort for the model and stores the v2 benchmark slice separately.
FrontierMath v2 (Tier 4)Benchmark exact

FrontierMath v2 Tier 4

22.917%Weighted 10%
Source: Epoch AI FrontierMath v2 leaderboardProvenance: Epoch AI reports FrontierMath v2 Tier 4 at 22.917% for claude-opus-4-7_xhigh. BenchLM selects the highest published thinking effort for the model and stores the v2 benchmark slice separately.
Multimodal2 benchmarks
AA-MMMU-ProReported

Artificial Analysis MMMU-Pro

76.4%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Design Arena WebsiteReported

Design Arena Website Elo

1325Display only
Source: OpenRouter model benchmarksProvenance: Display-only Design Arena Website Elo synced from OpenRouter model benchmark metadata. It is excluded from BenchLM weighted scoring.
Inst. Following1 benchmark
AA-IFBenchReported

Artificial Analysis IFBench

43.6%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

Claude Opus 4.7 Family

Base entry

Related Earlier Model

Claude Opus 4.6

Frequently Asked Questions

How does Claude Opus 4.7 perform overall in AI benchmarks?

Claude Opus 4.7 has 21 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is Claude Opus 4.7 good for knowledge and understanding?

Claude Opus 4.7 ranks #36 out of 52 models in knowledge and understanding benchmarks with an average score of 64.6. There are stronger options in this category.

Is Claude Opus 4.7 good for coding and programming?

Claude Opus 4.7 ranks #8 out of 122 models in coding and programming benchmarks with an average score of 68.4. It is among the top performers in this category.

Is Claude Opus 4.7 good for mathematics?

Claude Opus 4.7 has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.

Is Claude Opus 4.7 good for reasoning and logic?

Claude Opus 4.7 has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.

Is Claude Opus 4.7 good for agentic tool use and computer tasks?

Claude Opus 4.7 ranks #22 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 54.8. There are stronger options in this category.

Is Claude Opus 4.7 good for multimodal and grounded tasks?

Claude Opus 4.7 has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.

Is Claude Opus 4.7 good for instruction following?

Claude Opus 4.7 has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.

Which sibling models are related to Claude Opus 4.7?

Claude Opus 4.7 belongs to the Claude Opus 4.7 family. Related variants on BenchLM include Claude Opus 4.7 (Adaptive).

Does Claude Opus 4.7 have full benchmark coverage on BenchLM?

Not yet. Claude Opus 4.7 currently has 21 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Claude Opus 4.7?

Claude Opus 4.7 has a published context window of 1M, which determines how much text it can process in a single interaction.

Last updated: July 23, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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