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How to Choose the Right Model ​

A guide to selecting the best model for your use case.

Decision Framework ​

1. Identify Your Task Type ​

TaskRun typeTry first
Generate imagestext-to-imageNano Banana Pro, Seedream 5 Pro
Edit imagesimage-to-imageNano Banana Pro, Qwen Image 2
Create videostext-to-videoVeo 3.1, Kling 3, Seedance 2.5
Animate imagesfirst-to-videoKling 3, Veo 3.1, Wan 3
Generate speechtext-to-speechElevenLabs Eleven 3, Index TTS 2
Create musictext-to-musicMinimax Music 2.6, Eleven Music
Transcribe audiospeech-to-textWhisper Large v3 Turbo
Talking avatarsdigital-humanOmniHuman 1.5, Kling Avatar 2
Create 3D modelsimage-to-3dTripo P1, Tripo H3.1
ChatchatGPT-5.5, Claude Opus 4.7

The run type is the third segment of the model slug, so it also determines the endpoint you call.

2. Consider Quality vs. Speed ​

Model families usually publish several variants, and the suffix tells you the trade-off:

PriorityLook for
Highest quality-pro variants — slower and more expensive
BalancedThe unsuffixed base model
Fastest-fast / -turbo variants
Lowest cost-lite / -mini variants

Where a model exposes channels, that's a second dial on the same trade-off: economy is cheaper than stable, which is cheaper than official. Changing the channel is often enough — you may not need a different model.

3. Consider Resolution ​

Resolution and duration are the biggest cost multipliers, so don't pay for more than the destination needs:

OutputTypical settingUse case
Draft image1kPrompt iteration
Final image2k and upPrint, large display
Draft video480pComposition checks
Standard video720pWeb and social
Premium video1080pProduction

Accepted values differ per model — check the model's page for what it supports.

Comparing Models Empirically ​

Rather than relying on a static ranking, measure on your own prompts. The result object gives you what you need:

  • timings.api_call — time actually spent at the provider, the fair latency comparison
  • Cost per task — visible in your dashboard per request

Run the same prompt across two or three candidates with a fixed seed, then compare output quality against those two numbers.

Tips ​

  • Start cheap, iterate — Draft with a fast, low-cost model or the economy channel, then switch for the final render
  • Check model pages — Each model lists its own parameters, channels, and price
  • Fix the seed when comparing — Otherwise you're comparing two random samples, not two models
  • Try the web interface first — Faster than wiring up API calls to evaluate a model

Next Steps ​

Released under the MIT License.