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Comparison of seed-2.0-code, Topaz Denoise Image, DeepSeek-V4.1-Flash-1017
3 modelsUnknownseed-2.0-codeRemove ×topazTopaz Denoise ImageRemove ×deepseek-aiDeepSeek-V4.1-Flash-1017Remove ×
What’s different262.1K context · 131.1K 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.DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model…
DateOct 16, 2026DiscoveredAug 11, 2026ListedOct 17, 2026Released
Listed rate$0.50 in / $3.00 out/ 1M tokensExperiential · all routes ↗Standard · fewer than 128,001 input tokensSee provider quotes$0.05 in / $0.024 out/ 1M tokensRelace · via OpenRouter · all routes ↗relace
Provider endpoints1 endpoint →0 endpoints →23 endpoints →
AA Intelligence ↗4.3.2Not reportedNot reported45.1 ↗Effort: max · MaxIndependent result
AA-Briefcase ↗1.1Not reportedNot reported1,570.42 ↗Effort: max · MaxIndependent result
GDPval-AA ↗2.1Not reportedNot reported1,745.77 ↗Effort: max · MaxIndependent result
AutomationBench-AA ↗AA Index 4.3.2 collectionNot reportedNot reported66.64% ↗Effort: max · MaxIndependent result
Terminal-Bench 4.0 · AA ↗Not reportedNot reported33.84% ↗Effort: max · MaxHarness unreportedIndependent result
SciCode ↗AA Index 4.3.2 collectionNot reportedNot reported55.9% ↗AA · Under reviewEffort: max · MaxIndependent result
Humanity’s Last Exam ↗AA Index 4.3.2 collectionNot reportedNot reported43.33% ↗Effort: max · MaxIndependent result
GDP.pdf ↗AA Index 4.3.2 collectionNot reportedNot reported17.2% ↗Effort: max · MaxIndependent result
CritPt ↗AA Index 4.3.2 collectionNot reportedNot reported24% ↗AA · Under reviewEffort: max · MaxIndependent result
AA-Omniscience ↗AA Index 4.3.2 collectionNot reportedNot reported4.7 ↗Effort: max · MaxIndependent result
AA-LCR ↗1.1Not reportedNot reported82.67% ↗Effort: max · MaxIndependent result
LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported79.2% ↗Effort: max · single run · equal mean of 7 suitesIndependent result
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported83.4% ↗Effort: max · single runIndependent result
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported79.5% ↗Effort: max · single runIndependent result
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported76% ↗Effort: max · single runIndependent result
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported96% ↗Effort: max · single runIndependent result
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported50.9% ↗Effort: max · single runIndependent result
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported79.5% ↗Effort: max · single runIndependent result
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported89.1% ↗Effort: max · single runIndependent result
Context window262.1K—1M
Max output131.1K—393.2K
Parameters———
Tool callingSupportedNot reportedSupported
Structured outputSupportedNot reportedSupported
Image inputNot reportedNot reportedSupported
ReasoningSupportedNot reportedSupported
Prompt cachingNot reportedNot reportedSupported
Open weightsNot reportedNot reportedSupported

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