Data as of October 17, 2026 · How the score is built
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 | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #89 of 128Percentile 31stWeight 22%15 benchmarksMixed sources | 32.3 | 15 benchmarks | Mixed sources | |||
| CodingRank #64 of 150Percentile 58thWeight 20%6 benchmarksMixed sources | 40.3 | 6 benchmarks | Mixed sources | |||
| ReasoningRank Not rankedWeight 17%2 benchmarksReported | 78.3 | 2 benchmarks | Reported | |||
| MultimodalRank #49 of 54Percentile 9thWeight 12%18 benchmarksReported | 48.6 | 18 benchmarks | Reported | |||
| KnowledgeRank #77 of 184Percentile 58thWeight 12%6 benchmarksMixed sources | 51.2 | 6 benchmarks | Mixed sources | |||
| MultilingualRank #2 of 17Percentile 94thWeight 7%5 benchmarksReported | 96.5 | 5 benchmarks | Reported | |||
| Inst. FollowingRank #131 of 148Percentile 12thWeight 5%2 benchmarksReported | 31.9 | 2 benchmarks | Reported | |||
| MathRank #9 of 12Percentile 27thWeight 5%7 benchmarksMixed sources | 61.3 | 7 benchmarks | Mixed sources |
61 of 681 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow 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.
- Agentic7/15 verified
- Coding2/6 verified
- Reasoning0/2 verified
- Multimodal0/18 verified
- Knowledge1/6 verified
- Multilingual0/5 verified
- Inst. Following0/2 verified
- Math2/7 verified
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
- Agentic#89/128
- Coding#64/150
- ReasoningNot ranked
- Multimodal#49/54
- Knowledge#77/184
- Multilingual#2/17
- Inst. Following#131/148
- Math#9/12
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
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score57.1% | Versus best verified row Best verified: Claude Opus 5.5 · 89.9% | Gap32.8 behind | Weight26% ref. weight | Secondary exact |
| SWE Multilingual | Score77.5% | Versus best verified row Best verified: Claude Opus 5.5 · 93.9% | Gap16.4 behind | Weight5% ref. weight | Secondary exact |
| Terminal-Bench 2.0 | Score59.3% | Versus best verified row Best verified: GPT-5.5 · 82.0% | Gap22.7 behind | WeightScored in Agentic | Provider exact |
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score80.9% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap15.1 behind | WeightDisplay only | Provider exact |
| LiveCodeBench v6 | Score84.8% | Versus best verified row Best verified: Sakana Fugu-Ultra · 93.2% | Gap8.4 behind | WeightDisplay only | Secondary exact |
| NL2Repo | Score43.2% | Versus best verified row Best verified: DeepSeek V4.1 Flash 1017 · 68.2% | Gap25 behind | WeightDisplay only | Secondary exact |
Agentic15 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score59.3% | Versus best verified row Best verified: GPT-5.5 · 82% | Gap22.7 behind | Weight7% ref. weight | Provider exact |
| OSWorld-Verified | Score66.3% | Versus best verified row Best verified: Qwen3.8 Max · 86.1% | Gap19.8 behind | Weight7% ref. weight | Provider exact |
| JobBench | Score32.3% | Versus best verified row Best verified: Muse Wonder Full · 75.3% | Gap43 behind | Weight6% ref. weight | Benchmark exact |
| MCP Atlas | Score42.3% | Versus best verified row Best verified: Muse Spark Open · 89.2% | Gap46.9 behind | Weight4% ref. weight | Secondary exact |
| Toolathlon | Score43.5% | Versus best verified row Best verified: Muse Spark 1.1 · 75.6% | Gap32.1 behind | Weight3% ref. weight | Secondary exact |
| τ³-bench resultsτ³-Bench Tool-Agent-User Evaluation | Score70.2% | Versus best verified row Best verified: Mercury 2.5 · 96.0% | Gap25.8 behind | Weight2% ref. weight | Secondary exact |
| OSWorld | Score66.3% | Versus best verified row Best verified: Claude Opus 4.5 · 66.3% | GapBest verified | WeightDisplay only | Provider exact |
| Claw-Eval | Score59.6% | Versus best verified row Best verified: Ornith-1.5-397B · 81.4% | Gap21.8 behind | WeightDisplay only | Secondary exact |
| QwenClawBench | Score52.3% | Versus best verified row Best verified: Qwen3.7 Max · 64.3% | Gap12 behind | WeightDisplay only | Secondary exact |
| VITA-Bench | Score23.3% | Versus best verified row Best verified: Qwen3.7 Max · 47.9% | Gap24.6 behind | WeightDisplay only | Benchmark exact |
| DeepPlanning | Score26.4% | Versus best verified row Best verified: Qwen3.7 Plus · 62.3% | Gap35.9 behind | WeightDisplay only | Secondary exact |
| MCP-Tasks | Score71.8% | Versus best verified row Best verified: Qwen3.5 397B · 74.2% | Gap2.4 behind | WeightDisplay only | Secondary exact |
| WideResearch | Score76.4% | Versus best verified row Best verified: Hy4 preview · 83.9% | Gap7.5 behind | WeightDisplay only | Secondary exact |
| CyberGym | Score50.6% | Versus best verified row Best verified: MiMo-V2.6-Flash · 95.1% | Gap44.5 behind | WeightDisplay only | Benchmark exact |
| Gert LabsGert Labs Composite Game Benchmark | Score64.23% | Versus best verified row Best verified: Claude Opus 4.8 · 72.97% | Gap8.7 behind | WeightDisplay only | Benchmark exact |
Reasoning2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| LongBench v2 | Score64.4% | Versus best verified row Best verified: Beam 1.0 501B-A23B FP8 · 67.6% | Gap3.2 behind | WeightWeighted 25% | Secondary exact |
| AI-Needle | Score74% | Versus best verified row Best verified: Qwen3.5 397B · 68.7% | Gap5.3 behind | WeightDisplay only | Secondary exact |
Multimodal18 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMMU-ProMassive Multi-discipline Multimodal Understanding Pro | Score70.6% | Versus best verified row Best verified: Gemini 3.5 Flash · 83.6% | Gap13 behind | WeightWeighted 40% | Secondary exact |
| CharXivCharXiv Reasoning | Score68.5% | Versus best verified row Best verified: Qwen3.8 Max · 93.5% | Gap25 behind | WeightWeighted 20% | Secondary exact |
| MMMUMassive Multi-discipline Multimodal Understanding | Score80.7% | Versus best verified row Best verified: Qwen3.5 397B · 85.0% | Gap4.3 behind | WeightDisplay only | Secondary exact |
| RealWorldQA | Score77.0% | Versus best verified row Best verified: Qwen3.8-Flash-Next · 88.5% | Gap11.5 behind | WeightDisplay only | Secondary exact |
| OmniDocBench 1.5 | Score87.7% | Versus best verified row Best verified: Qwen3.8 Max · 92.1% | Gap4.4 behind | WeightDisplay only | Secondary exact |
| Video-MME (with subtitle)Video-MME with subtitle | Score77.6% | Versus best verified row Best verified: Qwen3.8 Max · 90.4% | Gap12.8 behind | WeightDisplay only | Secondary exact |
| Video-MME (w/o subtitle)Video-MME without subtitle | Score81.4% | Versus best verified row Best verified: Qwen3.5 397B · 83.7% | Gap2.3 behind | WeightDisplay only | Secondary exact |
| MathVision | Score74.3% | Versus best verified row Best verified: Qwen3.8 Max · 95.2% | Gap20.9 behind | WeightDisplay only | Secondary exact |
| We-Math | Score70.0% | Versus best verified row Best verified: Qwen3.5 397B · 87.9% | Gap17.9 behind | WeightDisplay only | Secondary exact |
| DynaMath | Score79.7% | Versus best verified row Best verified: Qwen3.5 397B · 86.3% | Gap6.6 behind | WeightDisplay only | Secondary exact |
| SimpleVQA | Score65.7% | Versus best verified row Best verified: Qwen3.7 Plus · 81.7% | Gap16 behind | WeightDisplay only | Secondary exact |
| CountBench | Score90.6% | Versus best verified row Best verified: Qwen3.6-27B · 97.8% | Gap7.2 behind | WeightDisplay only | Secondary exact |
| AI2D_TESTAI2D test split | Score87.7% | Versus best verified row Best verified: Qwen3.5 397B · 93.9% | Gap6.2 behind | WeightDisplay only | Secondary exact |
| ERQA | Score46.8% | Versus best verified row Best verified: Qwen3.8 Max · 77.8% | Gap31 behind | WeightDisplay only | Secondary exact |
| VideoMMMU | Score84.4% | Versus best verified row Best verified: Qwen3.8 Max · 88.7% | Gap4.3 behind | WeightDisplay only | Secondary exact |
| MLVU (M-Avg)MLVU mean average | Score81.7% | Versus best verified row Best verified: Qwen3.8 Max · 90.8% | Gap9.1 behind | WeightDisplay only | Secondary exact |
| ScreenSpot Pro | Score45.7% | Versus best verified row Best verified: GPT-6 Astra · 92.7% | Gap47 behind | WeightDisplay only | Secondary exact |
| V* | Score67.0% | Versus best verified row Best verified: Qwen3.6 Plus · 96.9% | Gap29.9 behind | WeightDisplay only | Secondary exact |
Knowledge6 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score30.8% | Versus best verified row Best verified: Claude Fable 5.1 · 65% | Gap34.2 behind | Weight44% ref. weight | Secondary exact |
| MMLU-ProMassive Multitask Language Understanding Professional | Score89.5% | Versus best verified row Best verified: Qwen3.7 Max · 89.6% | Gap0.1 behind | Weight6% ref. weight | Secondary exact |
| GPQAGraduate-Level Google-Proof Q&A | Score87% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap9 behind | Weight3% ref. weight | Provider exact |
| SuperGPQASuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines | Score70.6% | Versus best verified row Best verified: Qwen 3.6 Max (preview) · 73.9% | Gap3.3 behind | Weight2% ref. weight | Secondary exact |
| MMLU-Redux | Score96.6% | Versus best verified row Best verified: Qwen3.7 Max · 95% | Gap1.6 behind | WeightDisplay only | Secondary exact |
| C-Eval | Score92.2% | Versus best verified row Best verified: Qwen3.6 Plus · 93.3% | Gap1.1 behind | WeightDisplay only | Secondary exact |
Multilingual5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-ProX | Score85.7% | Versus best verified row Best verified: Qwen3.7 Max · 87% | Gap1.3 behind | WeightWeighted 100% | Secondary exact |
| NOVA-63 | Score56.7% | Versus best verified row Best verified: Qwen3.5 397B · 59.1% | Gap2.4 behind | WeightDisplay only | Secondary exact |
| INCLUDE | Score86.2% | Versus best verified row Best verified: Claude Opus 5 · 89.8% | Gap3.6 behind | WeightDisplay only | Secondary exact |
| PolyMath | Score79.0% | Versus best verified row Best verified: Qwen3.7 Max · 86.5% | Gap7.5 behind | WeightDisplay only | Secondary exact |
| MAXIFE | Score79.2% | Versus best verified row Best verified: Qwen3.7 Max · 89.2% | Gap10 behind | WeightDisplay only | Secondary exact |
Inst. Following2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFBenchInstruction Following Benchmark | Score58% | Versus best verified row Best verified: MAI-Thinking-1 · 85% | Gap27 behind | WeightWeighted 70% | Secondary exact |
| IFEvalInstruction-Following Eval | Score90.9% | Versus best verified row Best verified: LFM2.5-24B-A2B · 96.8% | Gap5.8 behind | WeightDisplay only | Secondary exact |
Math7 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3 | Score34.386% | Versus best verified row Best verified: GPT-6 Astra · 93.684% | Gap59.3 behind | WeightWeighted 30% | Benchmark exact |
| AIME26AIME 2026 | Score95.1% | Versus best verified row Best verified: GLM-5.2 · 99.2% | Gap4.1 behind | WeightWeighted 25% | Secondary exact |
| HMMT Feb 2026Harvard-MIT Mathematics Tournament February 2026 | Score85.3% | Versus best verified row Best verified: Qwen3.7 Max · 97.1% | Gap11.8 behind | WeightWeighted 25% | Secondary exact |
| FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4 | Score4.878% | Versus best verified row Best verified: GPT-6.1 Sol · 100.000% | Gap95.1 behind | WeightWeighted 10% | Benchmark exact |
| HMMT Feb 2025Harvard-MIT Mathematics Tournament February 2025 | Score92.9% | Versus best verified row Best verified: GLM-4.7 · 97.1% | Gap4.2 behind | WeightDisplay only | Secondary exact |
| HMMT Nov 2025Harvard-MIT Mathematics Tournament November 2025 | Score93.3% | Versus best verified row Best verified: Qwen3.6 Plus · 94.6% | Gap1.3 behind | WeightDisplay only | Secondary exact |
| MMAnswerBench | Score84.0% | Versus best verified row Best verified: GLM-5.2 · 91.0% | Gap7 behind | WeightDisplay only | Secondary exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 61 rowsWhat 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.
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.
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.
Base entry
Claude Opus 4.5 Thinking · 54.1Spec 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.