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Comparison of Seed-2.0-code, Topaz Restore Image, Meta: Muse Spark Open
3 modelsByteDanceSeed-2.0-codeRemove ×topazTopaz Restore ImageRemove ×metaMeta: Muse Spark OpenRemove ×
What’s differentA coding model optimized for real-world development environments, with reliable tool use in common IDEs such as Claude Code. It delivers strong front-end performance and supports Skills.Professional image restoration powered by Topaz Labs. Recover 3 generatively rebuilds natural detail; Dust-Scratch V2 cleans film dust and scratches. Best for old, damaged or degraded photos.OpenRouter lists a 1,048,576-token context and up to 943,718 output tokens for this open-weight model aimed at agentic coding.
DateApr 29, 2026ListedAug 11, 2026ListedOct 15, 2026Released
Listed rate$0.50 in / $3.00 out/ 1M tokensDeepInfra · all routes ↗See provider quotes$1.25 in / $4.25 out/ 1M tokensbaseten · via Hugging Face · all routes ↗
Provider endpoints1 endpoint →0 endpoints →8 endpoints →
AA Intelligence ↗4.3.2Not reportedNot reported38.87 ↗Effort: xhigh · XhighIndependent result
AA-Briefcase ↗1.1Not reportedNot reported1,279.37 ↗Effort: xhigh · XhighIndependent result
GDPval-AA ↗2.1Not reportedNot reported1,401.12 ↗Effort: xhigh · XhighIndependent result
AutomationBench-AA ↗AA Index 4.3.2 collectionNot reportedNot reported49.71% ↗Effort: xhigh · XhighIndependent result
Terminal-Bench 4.0 · AA ↗Not reportedNot reported8.08% ↗Effort: xhigh · XhighHarness unreportedIndependent result
SciCode ↗AA Index 4.3.2 collectionNot reportedNot reported58.45% ↗AA · Under reviewEffort: xhigh · XhighIndependent result
Humanity’s Last Exam ↗AA Index 4.3.2 collectionNot reportedNot reported43.88% ↗Effort: xhigh · XhighIndependent result
GDP.pdf ↗AA Index 4.3.2 collectionNot reportedNot reported18.6% ↗Effort: xhigh · XhighIndependent result
CritPt ↗AA Index 4.3.2 collectionNot reportedNot reported14.86% ↗AA · Under reviewEffort: xhigh · XhighIndependent result
AA-Omniscience ↗AA Index 4.3.2 collectionNot reportedNot reported24.65 ↗Effort: xhigh · XhighIndependent result
AA-LCR ↗1.1Not reportedNot reported78.33% ↗Effort: xhigh · XhighIndependent result
LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported57.57% ↗Effort: max · single run · equal mean of 7 suitesIndependent result
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported60.3% ↗Effort: max · single runIndependent result
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported80.3% ↗Effort: max · single runIndependent result
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported36% ↗Effort: max · single runIndependent result
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported73.6% ↗Effort: max · single runIndependent result
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported18.9% ↗Effort: max · single runIndependent result
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported60.2% ↗Effort: max · single runIndependent result
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported73.7% ↗Effort: max · single runIndependent result
Context window256K—1M
Max output——943.7K
Parameters———
Tool callingNot reportedNot reportedSupported
Structured outputNot reportedNot reportedSupported
Image inputNot reportedNot reportedSupported
Audio inputNot reportedNot reportedSupported
Video inputNot reportedNot reportedSupported
ReasoningNot reportedNot reportedSupported
Prompt cachingNot reportedNot reportedSupported
Open weightsNot reportedNot reportedSupported

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