Cliphouse 发布 LLM Motion Graphics Benchmark:10 款模型同题生成 Remotion 动效视频
Show HN: LLM Motion Graphics Benchmark
Cliphouse Research 发布 v1.1 Motion Graphics Benchmark,让 Claude Opus 5.5、GPT-6.1 Sol。
Cliphouse ResearchOctober 2026 / v1.1
Motion Graphics
Benchmark.
Find the right AI model for motion graphics
without testing every model yourself.
We give ten leading models the same three Remotion briefs and render every result. Compare the videos side by side, see which models work on the first attempt, and check the actual API cost before you choose.
By cliphou.seOctober 8, 2026Live comparison
Compare models MethodologyTest briefsEditions
Generation complete. Scores pending.
60 rendered videos. 0 incomplete or failed submissions. 0 videos reviewed.
60/60runs completed
01 / Comparison
One brief. Every model.
10 models · 2 independent runs
Storytelling, composition, and interface animation
12 seconds · 1080p · 30 fps · Silent
Product launch - full brief
Create a silent, 12-second product-launch video for "Relay", a fictional team-planning app. Use Remotion, 1920 x 1080, 30 fps. From 0-3 seconds, introduce "Relay" and "Make room for focused work". From 3-9 seconds, show "Plan together", "Protect focus time", and "See progress" through an animated product interface. From 9-12 seconds, show "Start your next week with Relay". Keep the final message fully readable for at least two seconds. Use the supplied fonts and palette. Choose the layout, visual style, and transitions. Include no additional claims, external assets, or audio. Return a complete composition that follows the supplied component contract.
Product launch, run 1. 10 completed entries.
AnthropicPremium
Claude Opus 5.5
- Visual score
- Review pending
- API cost
- $0.374
- Generation
- 211.0s
Run details
- Model ID
anthropic/claude-opus-5.5- Reasoning effort
- high
- Status
- Passed on first attempt
- Provider
- amazon-bedrock
- Generated
- 2026-10-08T15:31:10.508Z
- Render time
- 47.6s
AnthropicMid-range
Claude Sonnet 5.5
- Visual score
- Review pending
- API cost
- $0.135
- Generation
- 80.3s
Run details
- Model ID
anthropic/claude-sonnet-5.5- Reasoning effort
- high
- Status
- Passed on first attempt
- Provider
- google-vertex/global
- Generated
- 2026-10-08T15:46:24.224Z
- Render time
- 212.1s
AnthropicBudget
Claude Haiku 5.5
- Visual score
- Review pending
- API cost
- $0.011
- Generation
- 90.3s
Run details
- Model ID
anthropic/claude-haiku-5.5- Reasoning effort
- high
- Status
- Passed on first attempt
- Provider
- google-vertex/global
- Generated
- 2026-10-08T15:28:47.009Z
- Render time
- 34.7s
OpenAIMid-range
GPT-6.1 Sol
- Visual score
- Review pending
- API cost
- $0.116
- Generation
- 195.8s
Run details
- Model ID
openai/gpt-6.1-sol- Reasoning effort
- high
- Status
- Passed on first attempt
- Provider
- openai
- Generated
- 2026-10-08T16:01:00.939Z
- Render time
- 33.1s
OpenAIBudget
GPT-6 Luna
- Visual score
- Review pending
- API cost
- $0.0066
- Generation
- 130.0s
Run details
- Model ID
openai/gpt-6-luna- Reasoning effort
- high
- Status
- Passed on first attempt
- Provider
- openai
- Generated
- 2026-10-08T16:04:35.984Z
- Render time
- 34.4s
GoogleBudget
Gemini 3.8 Flash
- Visual score
- Review pending
- API cost
- $0.087
- Generation
- 164.0s
Run details
- Model ID
google/gemini-3.8-flash- Reasoning effort
- high
- Status
- Passed on first attempt
- Provider
- google-ai-studio
- Generated
- 2026-10-08T16:08:27.843Z
- Render time
- 33.8s
DeepSeekBudget
DeepSeek V4.1 Flash
Recovered / R1 · 1 additional attempt
- Visual score
- Review pending
- API cost
- $0.0068
- Generation
- 416.8s
Run details
- Model ID
deepseek/deepseek-v4.1-flash- Reasoning effort
- high
- Status
- Recovered in automated repair pass R1
- Original outcome
- Failed after 1 attempt. Invalid submission: Completion limit reached.
- Original API cost
- $0.0057
- Additional repair cost
- $0.0010
- Total attempts
- 2
- Provider
- decart/fp4
- Generated
- 2026-10-08T18:27:47.516Z
- Render time
- 32.7s
Z.aiBudget
GLM 5.3 FlashX
Recovered / R1 · 1 additional attempt
- Visual score
- Review pending
- API cost
- $0.030
- Generation
- 132.6s
Run details
- Model ID
z-ai/glm-5.3-flashx- Reasoning effort
- high
- Status
- Recovered in automated repair pass R1
- Original outcome
- Failed after 1 attempt. Invalid submission: Expected ',' or '}' after property value in JSON at position 23223 (line 2 column 23222)
- Original API cost
- $0.021
- Additional repair cost
- $0.0091
- Total attempts
- 2
- Provider
- z-ai/fp8
- Generated
- 2026-10-08T18:30:29.372Z
- Render time
- 32.7s
QwenOpen weights
Qwen3.8 2.4T A95B
- Visual score
- Review pending
- API cost
- $0.030
- Generation
- 101.4s
Run details
- Model ID
qwen/qwen3.8-2.4t-a95b- Reasoning effort
- medium
- Status
- Passed on first attempt
- Provider
- novita
- Generated
- 2026-10-08T16:22:53.346Z
- Render time
- 32.2s
Moonshot AIOpen weights
Kimi K3
- Visual score
- Review pending
- API cost
- $0.356
- Generation
- 519.2s
Run details
- Model ID
moonshotai/kimi-k3- Reasoning effort
- high
- Status
- Passed on first attempt
- Provider
- decart/mxfp4
- Generated
- 2026-10-08T16:26:11.447Z
- Render time
- 36.4s
A curated selection across price tiers, not a popularity ranking. Empty entries are untested, not failed. Scores stay unpublished until two blind reviews are complete.
Recovered entries show total API cost and generation time, including original attempts. The additional repair cost is itemized in run details. Recovery means the code compiled and rendered, not that visual quality or brief adherence has been approved. It is not first-attempt success.
02 / Methodology
Same starting point.
No hand-picked winners.
Protocol v1.1
This tests language models writing motion-graphics code, not native text-to-video models. Every request goes through OpenRouter. The generated code is rendered with the same Remotion environment.
What stays the same
Three fixed briefs, two independent runs, one component contract, the same local fonts and palette, and a 32,000-token completion limit that includes reasoning. No browsing, external assets, or existing Cliphouse compositions.
What gets another attempt
Only a failed compile or render gets one repair request, with the error log. Successful videos receive no creative revision. Original attempts and repair costs are retained. Transport errors are recorded separately.
Automated recovery / R1
Only original failures receive up to three additional automated repair requests. Keep the same model, pinned provider, reasoning effort, brief, fonts, palette, and renderer. Return complete TSX directly; a single code fence or valid source JSON wrapper is accepted without editing the code. Supply the previous response and complete compiler/render diagnostics. Stop at the first successful render. No human code edits or creative feedback. Preserve original outcomes and report additional attempts and costs separately. Recovery uses a 64,000-token limit and direct TSX output instead of the original JSON-only format. These are additional repair results, not replacement first attempts.
Repair results · Repair protocol · Original results
What we disclose
The exact model ID, provider, request, reasoning setting, source code, elapsed time, and API cost. Providers are pinned and fallback is disabled. Up to four API requests overlap; renders remain sequential. Reasoning labels are not equivalent compute budgets across models.
10models
3fixed briefs
2runs per brief
Visual quality, reviewed blind
Two reviewers score each criterion from 1 (poor) to 5 (excellent), with model names and costs hidden. Weighted scores are averaged across reviewers. Both runs are published, including failures.
- Visual design30%
- Hierarchy, composition, color, and visual coherence.
- Motion25%
- Timing, continuity, purposeful animation, and transitions.
- Readability25%
- Readable text, safe margins, and enough time to understand each scene.
- Brief adherence20%
- Correct copy, numerical values, sequence, and requested duration.
Visual quality does not include cost or reliability. Two runs are exploratory evidence, not a statistically definitive ranking. No aggregate winner is declared before every model has comparable coverage.
Protocol revision: A Haiku setup pilot used 13,309 reasoning tokens and was truncated at the original 16,000-token limit. Protocol 1.1 uses 32,000 tokens for all 60 comparable runs. The pilot cost $0.008 and remains in the spending record, outside the comparison.
Repair-feedback limitation: In this pilot, compile-failure repairs received a stack trace without the detailed TypeScript diagnostics. Treat repair outcomes as provisional. First-attempt outcomes are unaffected.
03 / Editions
A record, not a moving target.
New model versions join the live comparison. Monthly reports preserve the tested versions, protocol, and results. Changes to the test receive a new protocol version.
来源:Hacker News · cliphou.se