Side by side

See the difference.

Scores, capabilities and costs for the models you’re considering.

Scroll to compare models →

Comparison of command-a, Topaz Denoise Image, Anthropic: Claude Opus 5.5
3 modelsUnknowncommand-aRemove ×topazTopaz Denoise ImageRemove ×anthropicAnthropic: Claude Opus 5.5Remove ×
What’s different256K context · 8.2K max output · Tool calling · Structured outputProfessional photo denoising powered by Topaz Labs. Normal, Strong and Extreme presets clean noise at source resolution; Denoise Max adds generative detail recovery. Best for high-ISO and night photography.Always-on adaptive thinking defaults to medium effort; built for sustained work across large codebases and professional documents.
DateOct 16, 2026DiscoveredAug 11, 2026ListedSep 22, 2026Released
Listed rate$2.50 in / $10.00 out/ 1M tokensExperiential · all routes ↗Standard list rateSee provider quotes$4.00 in / $20.00 out/ 1M tokensAmazon Bedrock · via OpenRouter · all routes ↗amazon-bedrock
Provider endpoints1 endpoint →0 endpoints →14 endpoints →
AA Intelligence ↗4.3.2Not reportedNot reported57.62 ↗Effort: max · Max, Default FallbackIndependent result
AA-Briefcase ↗1.1Not reportedNot reported1,802.99 ↗Effort: max · Max, Default FallbackIndependent result
GDPval-AA ↗2.1Not reportedNot reported1,866.27 ↗Effort: max · Max, Default FallbackIndependent result
AutomationBench-AA ↗AA Index 4.3.2 collectionNot reportedNot reported69.54% ↗Effort: max · Max, Default FallbackIndependent result
Terminal-Bench 4.0 · AA ↗Not reportedNot reported59.6% ↗Effort: max · Max, Default FallbackHarness unreportedIndependent result
SciCode ↗AA Index 4.3.2 collectionNot reportedNot reported66.9% ↗AA · Under reviewEffort: max · Max, Default FallbackIndependent result
Humanity’s Last Exam ↗AA Index 4.3.2 collectionNot reportedNot reported61.35% ↗Effort: max · Max, Default FallbackIndependent result
GDP.pdf ↗AA Index 4.3.2 collectionNot reportedNot reported26.2% ↗Effort: max · Max, Default FallbackIndependent result
CritPt ↗AA Index 4.3.2 collectionNot reportedNot reported31.71% ↗AA · Under reviewEffort: max · Max, Default FallbackIndependent result
AA-Omniscience ↗AA Index 4.3.2 collectionNot reportedNot reported46.42 ↗Effort: max · Max, Default FallbackIndependent result
AA-LCR ↗1.1Not reportedNot reported84.67% ↗Effort: max · Max, Default FallbackIndependent result
LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported86.53% ↗Effort: max · single run · equal mean of 7 suitesIndependent result
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported86.9% ↗Effort: max · single runIndependent result
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported85% ↗Effort: max · single runIndependent result
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported80% ↗Effort: max · single runIndependent result
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported96.3% ↗Effort: max · single runIndependent result
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported85% ↗Effort: max · single runIndependent result
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported80.3% ↗Effort: max · single runIndependent result
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported92.2% ↗Effort: max · single runIndependent result
Context window256K—1M
Max output8.2K—128K
Parameters———
Tool callingSupportedNot reportedSupported
Structured outputSupportedNot reportedSupported
Image inputNot reportedNot reportedSupported
ReasoningNot reportedNot reportedSupported
Prompt cachingNot reportedNot reportedSupported

Add another model

Search all models →