Capability
72.3/100
field median 58.8
#17 of 228 ranked models
Claude Opus 4.7
Released Apr 16, 2026 — see all recent releases
Decision reading
Claude Opus 4.7 scores 72.3 out of 100 and ranks #17 of 228. This profile shows 8 source-displayable benchmark rows; its strongest eligible category is Coding at #12. API pricing is $5 input and $25 output per million tokens.
Data as of August 29, 2026 · How the score is built
Strongest published evidence
Coding ranks #12. Particularly well-suited for software development and code generation tasks.
Validate before choosing
8 published rows leave some tracked benchmark slots empty. Agentic is its lowest eligible category at #27.
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.
Price
$5input / $25 output
input median $1
blended $15
Speed
52tok/s
field median 86 tok/s
First token 22.53 s
Context
1Mtokens
field median 256,000
Maximum output length is tracked separately
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 4.7 category percentile values
- Agentic81st percentile
- Coding92nd percentile
- ReasoningNot eligible
- KnowledgeNot eligible
- MathNot eligible
- MultilingualNot eligible
- MultimodalNot eligible
- Instruction followingNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#27/140
- Coding#12/146
- ReasoningNot ranked
- KnowledgeNot ranked
- MathNot ranked
- MultilingualNot ranked
- MultimodalNot ranked
- Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible
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.
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Current modelClaude Opus 4.7 · 72.3 score · $15 blended per million tokens
Horizontal: blended price per million tokens, log scale · Vertical: public score
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.
- Agentic3/3 verified
- Coding3/3 verified
- ReasoningNot measured
- KnowledgeNot measured
- Math2/2 verified
- MultilingualNot measured
- MultimodalNot measured
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
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
- claude-opus-4-7Anthropic model ID documentation
- Context window
- 1MAnthropic model overview
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- text, imageAnthropic model overview
- Output modalities
- textAnthropic model overview
- Parameters
- Not disclosed by the provider
- Availability
- Claude APIAnthropic model overview
- Cloud regions
- Not tracked yet
- Lifecycle
- activeAnthropic model ID documentation
- 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
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 #27 of 140Percentile 81stWeight 22%3 benchmarksVerified | 58.5 | #27 of 140 | 81st | 22% | 3 benchmarks | Verified |
| CodingRank #12 of 146Percentile 92ndWeight 20%3 benchmarksVerified | 68.7 | #12 of 146 | 92nd | 20% | 3 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| MathRank Not rankedWeight 5%2 benchmarksVerified | 61.8 | Not ranked | Not available | 5% | 2 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
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.
Coding3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Vibe Code BenchVibe Code Bench v1.1 | Score71.00% | Versus best verified row Best verified: Claude Opus 4.7 · 71.00% | GapBest verified | WeightDisplay only | Benchmark exact |
| React Native Evals | Score82.8% | Versus best verified row Best verified: Composer 2 · 96.1% | Gap13.3 behind | WeightDisplay only | Benchmark exact |
| FrontierCode 1.1 Main | Score38.5% | Versus best verified row Best verified: Claude Fable 5 · 53.5% | Gap15 behind | WeightDisplay only | Benchmark exact |
Agentic3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Gert LabsGert Labs Composite Game Benchmark | Score65.59% | Versus best verified row Best verified: Claude Opus 4.8 · 72.97% | Gap7.4 behind | WeightDisplay only | Benchmark exact |
| ResearchClawBench | Score20.7% | Versus best verified row Best verified: Claude Opus 4.8 · 21.1% | Gap0.4 behind | WeightDisplay only | Benchmark exact |
| OSWorld 2.0 | Score13.9% | Versus best verified row Best verified: Claude Opus 5 · 70.6% | Gap56.7 behind | WeightDisplay only | Benchmark exact |
Math2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3 | Score43.793% | Versus best verified row Best verified: GPT-5.6 Sol · 89.000% | Gap45.2 behind | WeightWeighted 30% | Benchmark exact |
| FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4 | Score22.917% | Versus best verified row Best verified: GPT-5.6 Sol · 83.000% | Gap60.1 behind | WeightWeighted 10% | Benchmark exact |
Lineage
The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
February 2026
Claude Opus 4.6Score 68.3 · $5 / $25
Apr 16, 2026 · you are here
Claude Opus 4.7Score 72.3 · $5 / $25
Base entry
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 4.7 ranks #17 of 228 on the public leaderboard with a score of 72.33/100. Its source-verified position is #13 of 105.
Claude Opus 4.7 is a proprietary model with a 1M context window. No explicit reasoning mode is documented in this profile.
Claude Opus 4.7 sits in the Claude Opus 4.7 family with Claude Opus 4.7 (Adaptive). Its explicit predecessor is Claude Opus 4.6. 8 of 408 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Coding at #12, while its lowest eligible position is Agentic at #27. particularly well-suited for software development and code generation tasks.
Radar
Full release historyClaude Opus 4.7 release history
Claude Opus 4.7 released
Anthropic · Model release
Source confirmed
Radar confirmed these at the source. Start the free Radar Brief
Frequently asked questions
How does Claude Opus 4.7 perform overall in AI benchmarks?
Claude Opus 4.7 ranks #17 out of 228 models on the public BenchAlign leaderboard, with a score of 72.33/100. Its evidence status is Supported, and this profile shows 8 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Claude Opus 4.7 good for coding and programming?
Claude Opus 4.7 ranks #12 out of 146 eligible models for coding and programming, with a public category score of 68.7/100. 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 4.7 good for mathematics?
Claude Opus 4.7 has source-displayable benchmark coverage for mathematics, 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 4.7 good for agentic tool use and computer tasks?
Claude Opus 4.7 ranks #27 out of 140 eligible models for agentic tool use and computer tasks, with a public category score of 58.5/100. 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.
Which sibling models are related to Claude Opus 4.7?
Claude Opus 4.7 belongs to the Claude Opus 4.7 family. Related tracked variants include Claude Opus 4.7 (Adaptive). 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 4.7 have full benchmark coverage on BenchLM?
No. Claude Opus 4.7 currently has 21 source-displayable rows across 408 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 4.7?
Claude Opus 4.7 has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Compare Claude Opus 4.7 with every tracked model399 comparisons
Last updated August 29, 2026. Runtime fields remain blank until a sourced snapshot exists.
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