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Claude Sonnet 5 vs Claude Sonnet 5.5

Compare Claude Sonnet 5 and Claude Sonnet 5.5 side-by-side. See how these vision models stack up in Object Detection, Open Prompt, OCR, Classification, and Image Captioning.

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AnthropicClaude Sonnet 5
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AnthropicClaude Sonnet 5.5
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Models in this comparison

Claude Sonnet 5 vs Claude Sonnet 5.5 on Vision Evals

Claude Sonnet 5.5 scores higher on all five Vision Evals tasks.

The widest gap is Object Detection, where Claude Sonnet 5.5 leads 74.3% to 36.1%.

Overall, Claude Sonnet 5 averages 55.3% (#47 of 63) against 77.6% (#10 of 63) for Claude Sonnet 5.5.

Claude Sonnet 5.5 is cheaper ($0.0073 vs $0.0074 per sample), while Claude Sonnet 5 is faster (5.9s vs 8.3s per sample).

Claude Sonnet 5Claude Sonnet 5.5

Claude Sonnet 5 vs Claude Sonnet 5.5 Comparison Table

Evals updated October 13, 2026Pricing updated October 17, 2026

PropertyClaude Sonnet 5Claude Sonnet 5.5
OrganizationAnthropicAnthropic
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateJun 2026Sep 2026
Context Window1.0M1.0M
ParametersUnknownUnknown
LicenseProprietaryProprietary
Commercial usecommercial use per vendor termscommercial use per vendor terms
Pricing per 1M tokens
Input $/1M$2.00$2.00
Output $/1M$10.00$10.00
Vision Tasks
CaptioningDemoDemo
Chart Question AnsweringSupportedSupported
ClassificationDemoDemo
Document Question AnsweringSupportedSupported
Image TaggingSupportedSupported
Multi-Label ClassificationSupportedSupported
Object DetectionDemoDemo
OCRDemoDemo
Vision LanguageSupportedSupported
Visual Question AnsweringDemoDemo
Model Features
Foundation VisionSupportedSupported
LLMs with Vision CapabilitiesSupportedSupported
Multimodal VisionSupportedSupported
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort
Overall
55.3%
77.6%
Avg cost / sample$0.0074$0.0073
Avg speed / sample5.86s8.33s
By task
Object Detection (low)
36.1%
$0.011
74.3%
±0.9, Mean of 3 runs, range 73.5 to 75.3
$0.0098
Object Detection (high)–
76.8%
±0.4, Mean of 3 runs, range 76.5 to 77.3
$0.014
Counting (low)
56.8%
$0.0030
79.3%
±0.7, Mean of 3 runs, range 78.4 to 79.7
$0.0042
Counting (high)–
82.9%
±1.4, Mean of 3 runs, range 81.1 to 83.8
$0.0053
Identification (low)
81.3%
$0.0027
91.7%
±3.1, Mean of 3 runs, range 87.5 to 93.8
$0.0029
Identification (high)–
90.6%
±0.0, Mean of 3 runs, range 90.6 to 90.6
$0.0033
OCR (low)
59.4%
$0.0078
66.3%
$0.0075
by category
Single value
52.2%
Transcription
88.6%
Structured JSON
78.3%
Text localization
13.1%
Single value
48.7%
Transcription
76.3%
Structured JSON
83.8%
Text localization
60.6%
OCR (high)
59.5%
$0.015
–
by category
Single value
54.8%
Transcription
88.3%
Structured JSON
76.6%
Text localization
11.6%
Reasoning (low)
43.0%
$0.0032
76.4%
±0.7, Mean of 3 runs, range 75.5 to 76.8
$0.0049
Reasoning (high)
43.0%
$0.0043
83.9%
±1.7, Mean of 3 runs, range 82.1 to 85.4
$0.0061

Claude Sonnet 5 vs Claude Sonnet 5.5: Overview

Claude Sonnet 5

Claude Sonnet 5 is a mid-tier large language model from Anthropic, released on June 30, 2026, as the latest model in the Sonnet series and a direct successor to Claude Sonnet 4.6. It is a hybrid reasoning model designed primarily for agentic workflows, software coding, and professional tasks. The model features a 1 million token context window, a 128k maximum output token limit, and runs adaptive thinking by default, giving API users fine-grained control over reasoning effort across five levels (low, medium, high, max, and extra-high). It uses an updated tokenizer shared with Opus 4.7 and later models, which produces approximately 30% more tokens for equivalent text compared to earlier Claude models. On benchmarks, Sonnet 5 scores 63.2% on agentic coding and 81.2% on OSWorld, narrowing the gap with Opus 4.8 while remaining at Sonnet-tier pricing.

The model supports text and image input with text output, and accepts tools including browsers and terminals for autonomous multi-step task execution. Anthropic's safety evaluations report that Sonnet 5 shows a lower rate of undesirable behaviors than Sonnet 4.6 and is generally safer in agentic contexts, with improved resistance to prompt injection and reduced sycophancy. Cybersecurity safeguards equivalent to those on Opus 4.7 and 4.8 are active, though Anthropic notes the model was not deliberately trained on cybersecurity tasks. The model is proprietary and API-only, with no open weights.

Claude Sonnet 5.5

Claude Sonnet 5.5 is a proprietary multimodal language model from Anthropic and the second release in the Claude 5.5 family, following Claude Opus 5.5. It accepts interleaved text and image input and returns text, operating with a 1M token context window and a maximum output of 128K tokens per request. The model uses adaptive thinking by default, allocating variable reasoning effort per request rather than exposing a manual extended thinking toggle, and its training data cutoff is June 2026. Anthropic positions it as a faster, lower cost complement to Opus 5.5 for well scoped everyday tasks, bug fixing, and producing documents, slides, and spreadsheets.

On visual and agentic evaluations reported at launch, Sonnet 5.5 scores 61.6% on Chartography, a chart recognition test, compared with 15.6% for Claude Sonnet 5, and 80.1% on OSWorld 2.1, a computer use benchmark measuring screenshot driven control of a desktop environment, compared with 57.0% for Sonnet 5. It reports 70.6% on Terminal-Bench 4.0 for agentic coding. Anthropic describes it as the first Sonnet model able to complete Pokemon Red from screenshots alone, and it generates output more than 30% faster than Sonnet 5 while using fewer tokens for equivalent work.

Frequently Asked Questions

On Roboflow's Vision Evals, Claude Sonnet 5.5 performed better. It scores higher on all five vision tasks and averages 77.6% (#10 of 63) against 55.3% (#47 of 63) for Claude Sonnet 5. These scores measure vision capabilities only; either model may perform differently on work outside this benchmark's tasks.

No. On the Vision Evals Object Detection benchmark at low effort, Claude Sonnet 5.5 leads with 74.3% against 36.1%. This is the widest gap between the two models across the benchmark's tasks.

Claude Sonnet 5.5 is cheaper to run. Across Roboflow's Vision Evals task mix it averaged $0.0073 per sample against $0.0074. Claude Sonnet 5 is priced at $2.00 per 1M input tokens and $10.00 per 1M output; Claude Sonnet 5.5 is priced at $2.00 per 1M input tokens and $10.00 per 1M output. Actual costs depend on your image sizes, prompts, and output length.

Claude Sonnet 5 is faster. Across Roboflow's Vision Evals it averaged 5.9s per inference against 8.3s. Latency varies with image size, prompt length, and provider load, so treat these as relative rather than guaranteed figures.

Yes. The comparison demo on this page runs both models on the same image side by side for object detection and open prompts in the free Roboflow Playground. You can try it instantly, and a free account unlocks unlimited runs.