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Claude Opus 4.6 (Adaptive)

EstablishedReleased February 2026ProprietaryReasoning1M context

Released February 2026 — see all recent releases

Decision reading
Claude Opus 4.6 (Adaptive) scores 61.9 out of 100 and ranks #49 of 232. This profile shows 1 source-displayable benchmark rows; its strongest eligible category is Coding at #35. No comparable first-party API price is published in the catalog.

Data as of September 10, 2026 · How the score is built

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Strongest published evidence

Coding ranks #35. Particularly well-suited for software development and code generation tasks.

Validate before choosing

1 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

Check the published record for the model and serving route you use.

Check this model

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

61.9/100

field median 56.2

#49 of 232 ranked models

Price

Not listed

input median $0.97

No comparable first-party hosted token rate

Speed

Not measured

field median 86.5 tok/s

Time to first token not measured

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 4.6 (Adaptive) category percentile values

  • AgenticNot eligible
  • Coding77th 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

  1. AgenticNot ranked
  2. Coding#35/151
  3. ReasoningNot ranked
  4. KnowledgeNot ranked
  5. MathNot ranked
  6. MultilingualNot ranked
  7. MultimodalNot ranked
  8. Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible

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. AgenticNot measured
  2. Coding1/1 verified
  3. ReasoningNot measured
  4. KnowledgeNot measured
  5. MathNot measured
  6. MultilingualNot measured
  7. MultimodalNot measured
  8. 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-4-6Anthropic 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 scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%0 benchmarksNot measuredNot measured
CodingRank #35 of 151Percentile 77thWeight 20%1 benchmarkVerified56.8
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot 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.

Coding1 row
Coding benchmark values, best verified comparison, weight, and source status
Vibe Code BenchVibe Code Bench v1.1Score53.50%Versus best verified row

Best verified: Claude Opus 4.7 · 71.00%

Gap17.5 behindWeightDisplay only
Benchmark exact
Vals AI: Vibe Code Bench v1.1

Lineage

The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. February 2026 · you are here

    Claude Opus 4.6 (Adaptive)

    Score 61.9 · Price not listed

reasoning · adaptive

Claude Opus 4.6Claude Opus 4.6 · 69.0

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 4.6 (Adaptive) ranks #49 of 232 on the public leaderboard with a score of 61.85/100. It does not yet have enough sourced coverage for a verified position.

Claude Opus 4.6 (Adaptive) is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Tracked from Vals.ai Vibe Code Bench v1.1 exact leaderboard data. Kept unranked until broader benchmark coverage is available.

Claude Opus 4.6 (Adaptive) sits in the Claude Opus 4.6 family with Claude Opus 4.6. 1 of 435 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Coding at #35. particularly well-suited for software development and code generation tasks.

Frequently asked questions

How does Claude Opus 4.6 (Adaptive) perform overall in AI benchmarks?

Claude Opus 4.6 (Adaptive) ranks #49 out of 232 models on the public BenchAlign leaderboard, with a score of 61.85/100. Its evidence status is Estimated, and this profile shows 1 source-displayable benchmark row. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Claude Opus 4.6 (Adaptive) good for coding and programming?

Claude Opus 4.6 (Adaptive) ranks #35 out of 151 eligible models for coding and programming, with a public category score of 56.8/100. 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 4.6 (Adaptive)?

Claude Opus 4.6 (Adaptive) belongs to the Claude Opus 4.6 family. Related tracked variants include Claude Opus 4.6. 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 4.6 (Adaptive) have full benchmark coverage on BenchLM?

No. Claude Opus 4.6 (Adaptive) currently has 15 source-displayable rows across 435 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 4.6 (Adaptive)?

Claude Opus 4.6 (Adaptive) 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 4.6 (Adaptive) with every tracked model482 comparisons

Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.

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