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Head-to-head comparison

Claude Sonnet 4.5 vs. Claude Haiku 4.5

Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.

shared result series
4
distinct benchmarks
2
latest retrieval
2026-08-06

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Specifications

General specifications

Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.

Specifications for Claude Sonnet 4.5 and Claude Haiku 4.5
AttributeClaude Sonnet 4.5Claude Haiku 4.5
ProviderAnthropicAnthropic
ReleasedSep 2025Oct 2025
AvailabilityActiveActive
Model typeProprietaryProprietary
ParametersNot publishedNot published
ArchitectureNot publishedNot published
Context window200,000 tokens200,000 tokens
Knowledge cutoffJanuary 2025February 2025
Technical sourcesModel, ContextModel

Pricing

API pricing compared

The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.

API pricing for Claude Sonnet 4.5 and Claude Haiku 4.5
Price typeClaude Sonnet 4.5Claude Haiku 4.5
API input$3$1
API output$15$5
Cache read$0.3$0.1
Cache write (5 min.)$3.75$1.25
Cache write (1 hr.)$6$2
Price verified07/30/2026 Source07/30/2026 Source
Claude Sonnet 4.5Claude Haiku 4.5
API inputUSD per 1M tokens, base tier
Claude Sonnet 4.5$3
Claude Haiku 4.5Lower price$1
API outputUSD per 1M tokens, base tier
Claude Sonnet 4.5$15
Claude Haiku 4.5Lower price$5
Cache readUSD per 1M tokens, base tier
Claude Sonnet 4.5$0.3
Claude Haiku 4.5Lower price$0.1

Key to the marks:better valuebetter, but not conclusivetie

Pricing by provider

Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.

Provider pricing for Claude Sonnet 4.5 and Claude Haiku 4.5
ModelProviderPurchase route and tariffInput per 1M tokensOutput per 1M tokensSource
Claude Sonnet 4.5AnthropicDirect from developerStandard APILowest listed price: $3Lowest listed price: $15Source07/30/2026
Amazon BedrockVia OpenRouteramazon-bedrockLowest listed price: $3Lowest listed price: $15Source09/12/2026
Amazon BedrockVia OpenRouteramazon-bedrock/eu-west-1$3.3$16.5Source09/12/2026
AnthropicVia OpenRouteranthropicLowest listed price: $3Lowest listed price: $15Source09/12/2026
AzureVia OpenRouterazure/globalLowest listed price: $3Lowest listed price: $15Source09/12/2026
Claude Platform on AWSVia OpenRouterclaude-on-awsLowest listed price: $3Lowest listed price: $15Source09/12/2026
GoogleVia OpenRoutergoogle-vertex/globalLowest listed price: $3Lowest listed price: $15Source09/12/2026
GoogleVia OpenRoutergoogle-vertex/us-east5$3.3$16.5Source09/12/2026
Claude Haiku 4.5AnthropicDirect from developerStandard APILowest listed price: $1Lowest listed price: $5Source07/30/2026
Amazon BedrockVia OpenRouteramazon-bedrock/eu-west-1$1.1$5.5Source09/12/2026
Amazon BedrockVia OpenRouteramazon-bedrock/globalLowest listed price: $1Lowest listed price: $5Source09/12/2026
Amazon BedrockVia OpenRouteramazon-bedrock/us$1.1$5.5Source09/12/2026
AnthropicVia OpenRouteranthropicLowest listed price: $1Lowest listed price: $5Source09/12/2026
AzureVia OpenRouterazure/globalLowest listed price: $1Lowest listed price: $5Source09/12/2026
GoogleVia OpenRoutergoogle-vertex/europe$1.1$5.5Source09/12/2026
GoogleVia OpenRoutergoogle-vertex/globalLowest listed price: $1Lowest listed price: $5Source09/12/2026
GoogleVia OpenRoutergoogle-vertex/us-east5$1.1$5.5Source09/12/2026

Performance

Shared benchmarks

Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.

Capability profile from matched benchmarks

Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.

Not enough directly matched categories for a reliable radar

Only 1 of at least 5 categories have comparable, direct model measurements. The benchmark tables below show the available evidence without filling missing axes.

Claude Sonnet 4.5Claude Haiku 4.5
ScienceAgentBenchAccuracy. Higher is better. No documented setup difference
Claude Sonnet 4.5Winner29.41 %
Claude Haiku 4.518.63 %
SWE-bench Verified MiniAccuracy. Higher is better. No documented setup difference
Claude Sonnet 4.5Winner34 %
Claude Haiku 4.524 %
ScienceAgentBenchAccuracy. Higher is better. No documented setup difference
Claude Sonnet 4.5Winner30.39 %
Claude Haiku 4.523.53 %
SWE-bench Verified MiniAccuracy. Higher is better. No documented setup difference
Claude Sonnet 4.540 %
Claude Haiku 4.5Winner44 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Claude Sonnet 4.5 and Claude Haiku 4.5
Benchmark and taskClaude Sonnet 4.5Claude Haiku 4.5Source
ScienceAgentBenchAccuracy
Test details
No documented difference in the test setupVersion: verified 102-task setMetric: accuracyScoring: Higher is betterSettings: Agent: SAB Self-Debug, Harness: SAB Self-DebugSAB Self-Debug on 102 scientific tasks. Total cost is divided by 102 and excludes caching benefits according to HAL.
Winner29.41 %
18.63 %
Princeton HAL
Source details
Data as of: 08/06/2026
SWE-bench Verified MiniAccuracy
Test details
No documented difference in the test setupVersion: 50-task random verified subsetMetric: accuracyScoring: Higher is betterSettings: Agent: HAL Generalist, Harness: HAL GeneralistHAL Generalist on the same random 50-task subset. Total cost is divided by 50.
Winner34 %
HAL reports min-max ranges for repeated runs. The central value is the reported mean, not a 95% confidence interval.
24 %
HAL reports min-max ranges for repeated runs. The central value is the reported mean, not a 95% confidence interval.
Princeton HAL
Source details
Data as of: 08/05/2026
ScienceAgentBenchAccuracy
Test details
No documented difference in the test setupVersion: verified 102-task setMetric: accuracyScoring: Higher is betterSettings: Reasoning: high, Agent: SAB Self-Debug, Harness: SAB Self-DebugSAB Self-Debug on 102 scientific tasks. Total cost is divided by 102 and excludes caching benefits according to HAL.
Winner30.39 %
23.53 %
Princeton HAL
Source details
Data as of: 08/06/2026
SWE-bench Verified MiniAccuracy
Test details
No documented difference in the test setupVersion: 50-task random verified subsetMetric: accuracyScoring: Higher is betterSettings: Reasoning: high, Agent: HAL Generalist, Harness: HAL GeneralistHAL Generalist on the same random 50-task subset. Total cost is divided by 50.
40 %
HAL reports min-max ranges for repeated runs. The central value is the reported mean, not a 95% confidence interval.
Winner44 %
HAL reports min-max ranges for repeated runs. The central value is the reported mean, not a 95% confidence interval.
Princeton HAL
Source details
Data as of: 08/05/2026

Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Community tests you can inspect

Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.

Pelican on a bicycle

A community classic for free-form SVG drawing.

Claude Sonnet 4.5

Not tested yet

Claude Haiku 4.5

Not tested yet

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

How to read this comparison

Winning one benchmark is not an overall verdict

Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.

The standard price table uses direct developer rates. The provider comparison labels OpenRouter endpoints, regions, and special tariffs separately.

Every result links to its measurement source and retrieval date. Labels distinguish vendor reports, official benchmark leaderboards, and independent evaluations. Disputed or archived results are excluded.

More matchups

Compare Claude Sonnet 4.5 and Claude Haiku 4.5 with other leading models using the same data and benchmark logic.

View the complete LLM comparison