Capability
54.7/100
field median 59.1
#108 of 230 ranked models
Claude Sonnet 4.5
Released September 2025 — see all recent releases
Decision reading
Claude Sonnet 4.5 scores 54.7 out of 100 and ranks #108 of 230. This profile shows 11 source-displayable benchmark rows; its strongest eligible category is Coding at #71. API pricing is $3 input and $15 output per million tokens.
Data as of September 2, 2026 · How the score is built
Strongest published evidence
Coding ranks #71. Particularly well-suited for software development and code generation tasks.
Validate before choosing
11 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
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
$3input / $15 output
input median $1
blended $9
Speed
Not measured
field median 90 tok/s
Time to first token not measured
Context
200Ktokens
field median 256,000
Reported for this model; direct source link not stored
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
- Agentic44th percentile
- Coding52nd 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#81/143
- Coding#71/148
- 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 Sonnet 4.5 · 54.7 score · $9 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.
- Agentic5/5 verified
- Coding1/1 verified
- Reasoning1/1 verified
- Knowledge1/1 verified
- Math2/3 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
- 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
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 #81 of 143Percentile 44thWeight 22%5 benchmarksVerified | 46.9 | #81 of 143 | 44th | 22% | 5 benchmarks | Verified |
| CodingRank #71 of 148Percentile 52ndWeight 20%1 benchmarkVerified | 52.2 | #71 of 148 | 52nd | 20% | 1 benchmark | Verified |
| ReasoningRank Not rankedWeight 17%1 benchmarkVerified | 19.7 | Not ranked | Not available | 17% | 1 benchmark | Verified |
| KnowledgeRank Not rankedWeight 12%1 benchmarkVerified | 74.6 | Not ranked | Not available | 12% | 1 benchmark | Verified |
| MathRank Not rankedWeight 5%3 benchmarksMixed sources | 34.9 | Not ranked | Not available | 5% | 3 benchmarks | Mixed sources |
| 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.
Coding1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score77.2% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap18.8 behind | WeightWeighted 16% | Provider exact |
Agentic5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score50% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap41.9 behind | WeightWeighted 38% | Provider exact |
| OSWorld-Verified | Score61.4% | Versus best verified row Best verified: Qwen3.8 Max · 86.1% | Gap24.7 behind | WeightWeighted 34% | Provider exact |
| VITA-Bench | Score17.0% | Versus best verified row Best verified: Qwen3.7 Max · 47.9% | Gap30.9 behind | WeightDisplay only | Benchmark exact |
| Gert LabsGert Labs Composite Game Benchmark | Score48.51% | Versus best verified row Best verified: Claude Opus 4.8 · 72.97% | Gap24.5 behind | WeightDisplay only | Benchmark exact |
| JobBench | Score27.7% | Versus best verified row Best verified: Muse Spark 1.3 · 64.9% | Gap37.2 behind | WeightDisplay only | Benchmark exact |
Reasoning1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2 | Score13.6% | Versus best verified row Best verified: GPT-5.6 Sol · 92.5% | Gap78.9 behind | WeightWeighted 31% | Provider exact |
Knowledge1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| GPQAGraduate-Level Google-Proof Q&A | Score83.4% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap12.1 behind | WeightWeighted 7% | Provider exact |
Math3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3 | Score13.495% | Versus best verified row Best verified: GPT-5.6 Sol · 89.000% | Gap75.5 behind | WeightWeighted 30% | Benchmark exact |
| FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4 | Score4.167% | Versus best verified row Best verified: GPT-5.6 Sol · 83.000% | Gap78.8 behind | WeightWeighted 10% | Benchmark exact |
| AIME 2025American Invitational Mathematics Examination 2025 | Score87% | Versus best verified row Best verified: MAI-Thinking-1 · 97% | Gap10 behind | WeightDisplay only | Reported |
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.
2 dated first-party price records. The newest record lists $15 per million tokens.
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.
September 2025 · you are here
Claude Sonnet 4.5Score 54.7 · $3 / $15
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 Sonnet 4.5 ranks #108 of 230 on the public leaderboard with a score of 54.71/100. 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. 11 of 416 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Coding at #71, while its lowest eligible position is Agentic at #81. particularly well-suited for software development and code generation tasks.
Radar
Full release historyClaude Sonnet 4.5 release history
Claude Sonnet 4.5 released
Anthropic · Model release
Source confirmed
Radar confirmed these at the source. Already tracking Claude Sonnet 4.5? See the free Radar Brief for what changes next.
Frequently asked questions
How does Claude Sonnet 4.5 perform overall in AI benchmarks?
Claude Sonnet 4.5 ranks #108 out of 230 models on the public BenchAlign leaderboard, with a score of 54.71/100. Its evidence status is Estimated, and this profile shows 11 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 ranks #71 out of 148 eligible models for coding and programming, with a public category score of 52.2/100. 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 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 143 eligible models for agentic tool use and computer tasks, with a public category score of 46.9/100. 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.
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 12 source-displayable rows across 416 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.
Compare Claude Sonnet 4.5 with every tracked model409 comparisons
Last updated September 2, 2026. Runtime fields remain blank until a sourced snapshot exists.
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