Preseason
MatchesRankingsPrompts
GitHub
Preseason
MatchesRankingsPromptsMethodologyContact

© 2026 Preseason. All rights reserved.

PrivacyTerms
@betocmn
Background Jobs / Queues
Methodology

Temporal vs Inngest

TETemporalvsInngestINInngest
TemporalInngest
38%
62%

Leading: Inngest (62.2%)

Statistics

MetricValue
Temporal wins28
Inngest wins46
Abstains (no tool)3
Other tool chosen231
Decisive cases74
Temporal win rate (unweighted)37.8%
95% CI27.6% - 49.2%
Temporal win rate (weighted)37.8%

Comments

Temporal

No comments yet

Verified critics can leave comments here.

Inngest

No comments yet

Verified critics can leave comments here.

Per-model breakdown

ModelTierTemporalInngestNoneOtherA rate
MiniMax M3Frontier016020%
GLM 5.2Frontier290718%
GPT 5.5Frontier530663%
Kimi K2.7 CodeFrontier260825%
GPT 5.3 CodexFrontier6101186%
Claude Haiku 4.5Small60012100%
Mistral Small 4Mid5008100%
DeepSeek V4 ProFrontier050130%
Gemini 3.5 FlashSmall2201450%
GPT 5.4 MiniMid021120%
DeepSeek V4 FlashMid010110%
Gemini 2.5 ProFrontier012130%
Claude Opus 4.8Frontier00018n/a
Claude Sonnet 4.6Frontier00017n/a
DeepSeek R1 0528Frontier00018n/a
Devstral 2 2512Mid00012n/a
Llama 4 MaverickFrontier0009n/a
Llama 4 ScoutSmall00011n/a
MiMo V2.5 ProFrontier00018n/a
Qwen3 Coder NextMid00011n/a

Per-prompt breakdown

PromptTierTemporalInngestNoneOtherA rate
full-stack-web-appAdvanced28825978%
full-stack-web-appBeginner0220850%
full-stack-web-appIntermediate0161870%