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Data

Data as of October 17, 2026 · How the score is built

EstablishedProprietaryNon-Reasoning

Released Nov 24, 2025200K context

Claude Opus 4.5

Decision readingClaude Opus 4.5 scores 54.1 out of 100 and ranks #77 of 224. This profile shows 61 source-displayable benchmark rows; its strongest eligible category is Multilingual at #2. API pricing is $5 input and $25 output per million tokens.

Released Nov 24, 2025 — see all recent releases

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

54.1/100

field median 49.6#77 of 224 ranked models

Public

#77of 224

Verified #46 of 88

Price

$5input / $25 output

input median $0.75blended $15

Speed

52tok/s

field median 92 tok/sFirst token 1.18 s

Context

200Ktokens

field median 256,000Reported for this model; direct source link not stored

Strongest published evidence

Multilingual ranks #2. A well-rounded choice across a range of tasks.

Validate before choosing

61 published rows leave some tracked benchmark slots empty. Instruction Following is its lowest eligible category at #131.

Source-linked · 61 displayable benchmark rows

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #89 of 128Percentile 31stWeight 22%15 benchmarksMixed sources
32.3
CodingRank #64 of 150Percentile 58thWeight 20%6 benchmarksMixed sources
40.3
ReasoningRank Not rankedWeight 17%2 benchmarksReported
78.3
MultimodalRank #49 of 54Percentile 9thWeight 12%18 benchmarksReported
48.6
KnowledgeRank #77 of 184Percentile 58thWeight 12%6 benchmarksMixed sources
51.2
MultilingualRank #2 of 17Percentile 94thWeight 7%5 benchmarksReported
96.5
Inst. FollowingRank #131 of 148Percentile 12thWeight 5%2 benchmarksReported
31.9
MathRank #9 of 12Percentile 27thWeight 5%7 benchmarksMixed sources
61.3

61 of 681 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic7/15 verified
  2. Coding2/6 verified
  3. Reasoning0/2 verified
  4. Multimodal0/18 verified
  5. Knowledge1/6 verified
  6. Multilingual0/5 verified
  7. Inst. Following0/2 verified
  8. Math2/7 verified
Verified sourceProvisionalNot measured

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

Claude Opus 4.5 category percentile values

  • Agentic31st percentile
  • Coding58th percentile
  • ReasoningNot eligible
  • Multimodal9th percentile
  • Knowledge58th percentile
  • Multilingual94th percentile
  • Instruction following12th percentile
  • Math27th percentile

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#89/128
  2. Coding#64/150
  3. ReasoningNot ranked
  4. Multimodal#49/54
  5. Knowledge#77/184
  6. Multilingual#2/17
  7. Inst. Following#131/148
  8. Math#9/12
Top decileTop quartileMid-fieldNot eligible

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding6 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench ProScore57.1%Versus best verified row

Best verified: Claude Opus 5.5 · 89.9%

Gap32.8 behindWeight26% ref. weight
SWE MultilingualScore77.5%Versus best verified row

Best verified: Claude Opus 5.5 · 93.9%

Gap16.4 behindWeight5% ref. weight
Terminal-Bench 2.0Score59.3%Versus best verified row

Best verified: GPT-5.5 · 82.0%

Gap22.7 behindWeightScored in Agentic
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore80.9%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap15.1 behindWeightDisplay only
LiveCodeBench v6Score84.8%Versus best verified row

Best verified: Sakana Fugu-Ultra · 93.2%

Gap8.4 behindWeightDisplay only
NL2RepoScore43.2%Versus best verified row

Best verified: DeepSeek V4.1 Flash 1017 · 68.2%

Gap25 behindWeightDisplay only
Agentic15 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.0Score59.3%Versus best verified row

Best verified: GPT-5.5 · 82%

Gap22.7 behindWeight7% ref. weight
OSWorld-VerifiedScore66.3%Versus best verified row

Best verified: Qwen3.8 Max · 86.1%

Gap19.8 behindWeight7% ref. weight
JobBenchScore32.3%Versus best verified row

Best verified: Muse Wonder Full · 75.3%

Gap43 behindWeight6% ref. weight
Benchmark exact
MCP AtlasScore42.3%Versus best verified row

Best verified: Muse Spark Open · 89.2%

Gap46.9 behindWeight4% ref. weight
ToolathlonScore43.5%Versus best verified row

Best verified: Muse Spark 1.1 · 75.6%

Gap32.1 behindWeight3% ref. weight
τ³-bench resultsτ³-Bench Tool-Agent-User EvaluationScore70.2%Versus best verified row

Best verified: Mercury 2.5 · 96.0%

Gap25.8 behindWeight2% ref. weight
OSWorldScore66.3%Versus best verified row

Best verified: Claude Opus 4.5 · 66.3%

GapBest verifiedWeightDisplay only
Claw-EvalScore59.6%Versus best verified row

Best verified: Ornith-1.5-397B · 81.4%

Gap21.8 behindWeightDisplay only
QwenClawBenchScore52.3%Versus best verified row

Best verified: Qwen3.7 Max · 64.3%

Gap12 behindWeightDisplay only
VITA-BenchScore23.3%Versus best verified row

Best verified: Qwen3.7 Max · 47.9%

Gap24.6 behindWeightDisplay only
Benchmark exact
DeepPlanningScore26.4%Versus best verified row

Best verified: Qwen3.7 Plus · 62.3%

Gap35.9 behindWeightDisplay only
MCP-TasksScore71.8%Versus best verified row

Best verified: Qwen3.5 397B · 74.2%

Gap2.4 behindWeightDisplay only
WideResearchScore76.4%Versus best verified row

Best verified: Hy4 preview · 83.9%

Gap7.5 behindWeightDisplay only
CyberGymScore50.6%Versus best verified row

Best verified: MiMo-V2.6-Flash · 95.1%

Gap44.5 behindWeightDisplay only
Benchmark exact
Gert LabsGert Labs Composite Game BenchmarkScore64.23%Versus best verified row

Best verified: Claude Opus 4.8 · 72.97%

Gap8.7 behindWeightDisplay only
Benchmark exact
Reasoning2 rows
Reasoning benchmark values, best verified comparison, weight, and source status
LongBench v2Score64.4%Versus best verified row

Best verified: Beam 1.0 501B-A23B FP8 · 67.6%

Gap3.2 behindWeightWeighted 25%
AI-NeedleScore74%Versus best verified row

Best verified: Qwen3.5 397B · 68.7%

Gap5.3 behindWeightDisplay only
Multimodal18 rows
Multimodal benchmark values, best verified comparison, weight, and source status
MMMU-ProMassive Multi-discipline Multimodal Understanding ProScore70.6%Versus best verified row

Best verified: Gemini 3.5 Flash · 83.6%

Gap13 behindWeightWeighted 40%
CharXivCharXiv ReasoningScore68.5%Versus best verified row

Best verified: Qwen3.8 Max · 93.5%

Gap25 behindWeightWeighted 20%
MMMUMassive Multi-discipline Multimodal UnderstandingScore80.7%Versus best verified row

Best verified: Qwen3.5 397B · 85.0%

Gap4.3 behindWeightDisplay only
RealWorldQAScore77.0%Versus best verified row

Best verified: Qwen3.8-Flash-Next · 88.5%

Gap11.5 behindWeightDisplay only
OmniDocBench 1.5Score87.7%Versus best verified row

Best verified: Qwen3.8 Max · 92.1%

Gap4.4 behindWeightDisplay only
Video-MME (with subtitle)Video-MME with subtitleScore77.6%Versus best verified row

Best verified: Qwen3.8 Max · 90.4%

Gap12.8 behindWeightDisplay only
Video-MME (w/o subtitle)Video-MME without subtitleScore81.4%Versus best verified row

Best verified: Qwen3.5 397B · 83.7%

Gap2.3 behindWeightDisplay only
MathVisionScore74.3%Versus best verified row

Best verified: Qwen3.8 Max · 95.2%

Gap20.9 behindWeightDisplay only
We-MathScore70.0%Versus best verified row

Best verified: Qwen3.5 397B · 87.9%

Gap17.9 behindWeightDisplay only
DynaMathScore79.7%Versus best verified row

Best verified: Qwen3.5 397B · 86.3%

Gap6.6 behindWeightDisplay only
SimpleVQAScore65.7%Versus best verified row

Best verified: Qwen3.7 Plus · 81.7%

Gap16 behindWeightDisplay only
CountBenchScore90.6%Versus best verified row

Best verified: Qwen3.6-27B · 97.8%

Gap7.2 behindWeightDisplay only
AI2D_TESTAI2D test splitScore87.7%Versus best verified row

Best verified: Qwen3.5 397B · 93.9%

Gap6.2 behindWeightDisplay only
ERQAScore46.8%Versus best verified row

Best verified: Qwen3.8 Max · 77.8%

Gap31 behindWeightDisplay only
VideoMMMUScore84.4%Versus best verified row

Best verified: Qwen3.8 Max · 88.7%

Gap4.3 behindWeightDisplay only
MLVU (M-Avg)MLVU mean averageScore81.7%Versus best verified row

Best verified: Qwen3.8 Max · 90.8%

Gap9.1 behindWeightDisplay only
ScreenSpot ProScore45.7%Versus best verified row

Best verified: GPT-6 Astra · 92.7%

Gap47 behindWeightDisplay only
V*Score67.0%Versus best verified row

Best verified: Qwen3.6 Plus · 96.9%

Gap29.9 behindWeightDisplay only
Knowledge6 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore30.8%Versus best verified row

Best verified: Claude Fable 5.1 · 65%

Gap34.2 behindWeight44% ref. weight
MMLU-ProMassive Multitask Language Understanding ProfessionalScore89.5%Versus best verified row

Best verified: Qwen3.7 Max · 89.6%

Gap0.1 behindWeight6% ref. weight
GPQAGraduate-Level Google-Proof Q&AScore87%Versus best verified row

Best verified: GPT-6 Astra · 96%

Gap9 behindWeight3% ref. weight
SuperGPQASuperGPQA: Scaling LLM Evaluation Across 285 Graduate DisciplinesScore70.6%Versus best verified row

Best verified: Qwen 3.6 Max (preview) · 73.9%

Gap3.3 behindWeight2% ref. weight
MMLU-ReduxScore96.6%Versus best verified row

Best verified: Qwen3.7 Max · 95%

Gap1.6 behindWeightDisplay only
C-EvalScore92.2%Versus best verified row

Best verified: Qwen3.6 Plus · 93.3%

Gap1.1 behindWeightDisplay only
Multilingual5 rows
Multilingual benchmark values, best verified comparison, weight, and source status
MMLU-ProXScore85.7%Versus best verified row

Best verified: Qwen3.7 Max · 87%

Gap1.3 behindWeightWeighted 100%
NOVA-63Score56.7%Versus best verified row

Best verified: Qwen3.5 397B · 59.1%

Gap2.4 behindWeightDisplay only
INCLUDEScore86.2%Versus best verified row

Best verified: Claude Opus 5 · 89.8%

Gap3.6 behindWeightDisplay only
PolyMathScore79.0%Versus best verified row

Best verified: Qwen3.7 Max · 86.5%

Gap7.5 behindWeightDisplay only
MAXIFEScore79.2%Versus best verified row

Best verified: Qwen3.7 Max · 89.2%

Gap10 behindWeightDisplay only
Inst. Following2 rows
Inst. Following benchmark values, best verified comparison, weight, and source status
IFBenchInstruction Following BenchmarkScore58%Versus best verified row

Best verified: MAI-Thinking-1 · 85%

Gap27 behindWeightWeighted 70%
IFEvalInstruction-Following EvalScore90.9%Versus best verified row

Best verified: LFM2.5-24B-A2B · 96.8%

Gap5.8 behindWeightDisplay only
Math7 rows
Math benchmark values, best verified comparison, weight, and source status
FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3Score34.386%Versus best verified row

Best verified: GPT-6 Astra · 93.684%

Gap59.3 behindWeightWeighted 30%
AIME26AIME 2026Score95.1%Versus best verified row

Best verified: GLM-5.2 · 99.2%

Gap4.1 behindWeightWeighted 25%
HMMT Feb 2026Harvard-MIT Mathematics Tournament February 2026Score85.3%Versus best verified row

Best verified: Qwen3.7 Max · 97.1%

Gap11.8 behindWeightWeighted 25%
FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4Score4.878%Versus best verified row

Best verified: GPT-6.1 Sol · 100.000%

Gap95.1 behindWeightWeighted 10%
HMMT Feb 2025Harvard-MIT Mathematics Tournament February 2025Score92.9%Versus best verified row

Best verified: GLM-4.7 · 97.1%

Gap4.2 behindWeightDisplay only
HMMT Nov 2025Harvard-MIT Mathematics Tournament November 2025Score93.3%Versus best verified row

Best verified: Qwen3.6 Plus · 94.6%

Gap1.3 behindWeightDisplay only
MMAnswerBenchScore84.0%Versus best verified row

Best verified: GLM-5.2 · 91.0%

Gap7 behindWeightDisplay only

Bars run 0–100; the dark tick marks the best source-verified value

All 61 rows

What it costs to get this score

Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.

Current modelExplore all models

Claude Opus 4.5 · 54.0 score · $15 blended per million tokens

The chart opens on the current model. Scroll horizontally to inspect the full price axis.

405060708090100$0.10$0.50$1$5$10$25$50$100↘ frontierClaude Opus 4.5

Horizontal: blended price per million tokens, log scale · Vertical: public score

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Nov 24, 2025 · you are here

    Claude Opus 4.5

    Score 54.0 · $5 / $25

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not published
Context window
200K
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Established
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing record
Self-host
Weights are not published
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

Claude Opus 4.5 ranks #77 of 224 on the public leaderboard with a score of 54.05/100. Its source-verified position is #46 of 88.

Claude Opus 4.5 is a proprietary model with a 200K context window. No explicit reasoning mode is documented in this profile.

Claude Opus 4.5 sits in the Claude Opus 4.5 family with Claude Opus 4.5 Thinking. 61 of 681 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Multilingual at #2, while its lowest eligible position is Instruction Following at #131. a well-rounded choice across a range of tasks.

Last updated October 17, 2026. Runtime fields remain blank until a sourced snapshot exists.

Questions

How does Claude Opus 4.5 perform overall in AI benchmarks?

Claude Opus 4.5 ranks #77 out of 224 models on the public BenchAlign leaderboard, with a score of 54.05/100. Its evidence status is Supported, and this profile shows 61 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Claude Opus 4.5 good for knowledge and understanding?

Claude Opus 4.5 ranks #77 out of 184 eligible models for knowledge and understanding, with a public category score of 51.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Opus 4.5 good for coding and programming?

Claude Opus 4.5 ranks #64 out of 150 eligible models for coding and programming, with a public category score of 40.3/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Opus 4.5 good for mathematics?

Claude Opus 4.5 ranks #9 out of 12 eligible models for mathematics, with a public category score of 61.3/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Opus 4.5 good for reasoning and logic?

Claude Opus 4.5 has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Claude Opus 4.5 good for agentic tool use and computer tasks?

Claude Opus 4.5 ranks #89 out of 128 eligible models for agentic tool use and computer tasks, with a public category score of 32.3/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Opus 4.5 good for multimodal and grounded tasks?

Claude Opus 4.5 ranks #49 out of 54 eligible models for multimodal and grounded tasks, with a public category score of 48.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Opus 4.5 good for instruction following?

Claude Opus 4.5 ranks #131 out of 148 eligible models for instruction following, with a public category score of 31.9/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Opus 4.5 good for multilingual tasks?

Claude Opus 4.5 ranks #2 out of 17 eligible models for multilingual tasks, with a public category score of 96.5/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Which sibling models are related to Claude Opus 4.5?

Claude Opus 4.5 belongs to the Claude Opus 4.5 family. Related tracked variants include Claude Opus 4.5 Thinking. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

Does Claude Opus 4.5 have full benchmark coverage on BenchLM?

No. Claude Opus 4.5 currently has 74 source-displayable rows across 681 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Claude Opus 4.5?

Claude Opus 4.5 has a reported context window of 200K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

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Compare Claude Opus 4.5 with every tracked model953 comparisons