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Data

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

EstablishedProprietaryNon-Reasoning

Released Sep 29, 2025200K context

Claude Sonnet 4.5

Decision readingClaude Sonnet 4.5 scores 48 out of 100 and ranks #110 of 224. This profile shows 12 source-displayable benchmark rows; its strongest eligible category is Agentic at #81. API pricing is $3 input and $15 output per million tokens.

Released Sep 29, 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

48/100

field median 49.6#110 of 224 ranked models

Public

#110of 224

Verified —

Price

$3input / $15 output

input median $0.75blended $9

Speed

Not measured

field median 92 tok/sTime to first token not measured

Context

200Ktokens

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

Strongest published evidence

Agentic ranks #81. Particularly useful for coding agents, browser research, and computer-use workflows.

Validate before choosing

12 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.

Source-linked · 12 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 #81 of 128Percentile 37thWeight 22%5 benchmarksVerified
35.1
CodingRank Not rankedWeight 20%2 benchmarksVerified
65.5
ReasoningRank Not rankedWeight 17%1 benchmarkVerified
22.9
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeRank Not rankedWeight 12%1 benchmarkVerified
73.5
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingWeight 5%0 benchmarksNot measured
Not measured
MathRank Not rankedWeight 5%3 benchmarksMixed sources
36.4

12 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. Agentic5/5 verified
  2. Coding2/2 verified
  3. Reasoning1/1 verified
  4. MultimodalNot measured
  5. Knowledge1/1 verified
  6. MultilingualNot measured
  7. Inst. FollowingNot measured
  8. Math2/3 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 Sonnet 4.5 category percentile values

  • Agentic37th percentile
  • CodingNot eligible
  • ReasoningNot eligible
  • MultimodalNot eligible
  • KnowledgeNot eligible
  • MultilingualNot eligible
  • Instruction followingNot eligible
  • MathNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#81/128
  2. CodingNot ranked
  3. ReasoningNot ranked
  4. MultimodalNot ranked
  5. KnowledgeNot ranked
  6. MultilingualNot ranked
  7. Inst. FollowingNot ranked
  8. MathNot ranked
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.

Coding2 rows
Coding benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.0Score50.0%Versus best verified row

Best verified: GPT-5.5 · 82.0%

Gap32 behindWeightScored in Agentic
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore77.2%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap18.8 behindWeightDisplay only
Agentic5 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.0Score50%Versus best verified row

Best verified: GPT-5.5 · 82%

Gap32 behindWeight7% ref. weight
OSWorld-VerifiedScore61.4%Versus best verified row

Best verified: Qwen3.8 Max · 86.1%

Gap24.7 behindWeight7% ref. weight
JobBenchScore27.7%Versus best verified row

Best verified: Muse Wonder Full · 75.3%

Gap47.6 behindWeight6% ref. weight
Benchmark exact
VITA-BenchScore17.0%Versus best verified row

Best verified: Qwen3.7 Max · 47.9%

Gap30.9 behindWeightDisplay only
Benchmark exact
Gert LabsGert Labs Composite Game BenchmarkScore48.51%Versus best verified row

Best verified: Claude Opus 4.8 · 72.97%

Gap24.5 behindWeightDisplay only
Benchmark exact
Reasoning1 row
Reasoning benchmark values, best verified comparison, weight, and source status
ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2Score13.6%Versus best verified row

Best verified: GPT-6 Astra · 95%

Gap81.4 behindWeightWeighted 25%
Knowledge1 row
Knowledge benchmark values, best verified comparison, weight, and source status
GPQAGraduate-Level Google-Proof Q&AScore83.4%Versus best verified row

Best verified: GPT-6 Astra · 96%

Gap12.6 behindWeight3% ref. weight
Math3 rows
Math benchmark values, best verified comparison, weight, and source status
FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3Score23.860%Versus best verified row

Best verified: GPT-6 Astra · 93.684%

Gap69.8 behindWeightWeighted 30%
FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4Score2.439%Versus best verified row

Best verified: GPT-6.1 Sol · 100.000%

Gap97.6 behindWeightWeighted 10%
AIME 2025American Invitational Mathematics Examination 2025Score87%Versus best verified row

Best verified: GPT-5.2 · 100%

Gap13 behindWeightDisplay only

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

All 12 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 Sonnet 4.5 · 48.0 score · $9 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 Sonnet 4.5

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

Published price history

This chart appears only when at least two dated first-party price records exist for the exact model. It shows rate changes, not an inferred cost trend.

09182025-092026-04Output priceInput price

2 dated first-party price records. The newest record lists $15 per million tokens.

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. Sep 29, 2025 · you are here

    Claude Sonnet 4.5

    Score 48.0 · $3 / $15

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 Sonnet 4.5 ranks #110 of 224 on the public leaderboard with a score of 47.96/100. It does not yet have enough sourced coverage for a verified position.

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

Claude Sonnet 4.5 sits in the Claude Sonnet 4.5 family with Claude Sonnet 4.5 Thinking. 12 of 681 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Agentic at #81. particularly useful for coding agents, browser research, and computer-use workflows.

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

Questions

How does Claude Sonnet 4.5 perform overall in AI benchmarks?

Claude Sonnet 4.5 ranks #110 out of 224 models on the public BenchAlign leaderboard, with a score of 47.96/100. Its evidence status is Estimated, and this profile shows 12 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Claude Sonnet 4.5 good for knowledge and understanding?

Claude Sonnet 4.5 has source-displayable benchmark coverage for knowledge and understanding, 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 Sonnet 4.5 good for coding and programming?

Claude Sonnet 4.5 has source-displayable benchmark coverage for coding and programming, 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 Sonnet 4.5 good for mathematics?

Claude Sonnet 4.5 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 Sonnet 4.5 good for reasoning and logic?

Claude Sonnet 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 Sonnet 4.5 good for agentic tool use and computer tasks?

Claude Sonnet 4.5 ranks #81 out of 128 eligible models for agentic tool use and computer tasks, with a public category score of 35.1/100. 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 Sonnet 4.5?

Claude Sonnet 4.5 belongs to the Claude Sonnet 4.5 family. Related tracked variants include Claude Sonnet 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 Sonnet 4.5 have full benchmark coverage on BenchLM?

No. Claude Sonnet 4.5 currently has 13 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 Sonnet 4.5?

Claude Sonnet 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 Sonnet 4.5 with every tracked model953 comparisons