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Comparison of Wan2.7-R2V, Seed-2.0-code, Ling-3.1-flash
3 modelsWan-AIWan2.7-R2VRemove ×ByteDanceSeed-2.0-codeRemove ×inclusionAILing-3.1-flashRemove ×
What’s differentAccurately preserve the look and voice of people or objects from a reference video, supporting multi-reference co-creation.A 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.Switch reasoning on or off; hybrid linear attention and multi-token prediction support long-context self-hosted inference.
DateApr 27, 2026ListedApr 29, 2026ListedOct 13, 2026Listed
Listed rate$0.10/ secondDeepInfra · all routes ↗780P · $ cost per second · output second$0.50 in / $3.00 out/ 1M tokensDeepInfra · all routes ↗$0.30 in / $0.90 out/ 1M tokensDeepInfra · all routes ↗
Provider endpoints1 endpoint →1 endpoint →2 endpoints →
Context window—256K262.1K
Max output———
Parameters———
Tool callingNot reportedNot reportedSupported
Open weightsNot reportedNot reportedSupported

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