All comparisons

Gemini 3.8 Flash vs. its predecessors and closest competitors

Pricing

Metric TypeGemini 3.8 FlashGLM 5.3GPT-5.6 TerraKimi K3Gemini 3.7 Flash
Inputper 1M tokens$0.83TextImageVideoFileAudio$0.079Text$2.00FileImageText$0.24TextImage$0.75TextImageVideoFileAudio
Outputper 1M tokens$4.13Text$1.40Text$12.00Text$10.80Text$3.75Text
Reasoningper 1M tokens$4.13———$3.75
Cached inputper 1M tokens$0.083$0.078$0.20$0.21$0.075
Cache writeper 1M tokens$0.042—$2.50—$0.042
Image inputper 1M tokens$0.83———$0.75
Audio inputper 1M tokens$0.83———$0.75
Cached audio inputper 1M tokens$0.083———$0.075
Web searchper request$0.014—$0.010—$0.014

This comparison matrix breaks down the API token costs, context caching rates, and modality support across five leading LLMs available via OpenRouter:

  • Gemini 3.8 Flash & 3.7 Flash (Google)
  • GLM 5.3 (Z.AI)
  • GPT-5.6 Terra (OpenAI)
  • Kimi K3 (Moonshot AI)

Main highlights:

  • Both Gemini 3.8 Flash and Gemini 3.7 Flash offer the lowest entry barrier at $0.75 / 1M input tokens and $3.75 / 1M output tokens, making them up to 4× cheaper on outputs than GPT-5.6 Terra and Kimi K3.
  • Google’s Flash models natively accept Text, Image, Video, File, and Audio inputs at the base rate ($0.75/1M tokens), whereas competing models primarily handle text and static images/files.
  • Gemini delivers massive savings for long-context workloads with $0.075/1M cached input and an industry-low $0.042/1M cache write.
  • Gemini explicitly separates reasoning token costs ($3.75/1M) and offers live web search grounding at $0.014/request, slightly higher than GPT-5.6 Terra's $0.010/request.

Related comparisons

See all comparisons

Sources

Model makers/Providers:Google ·Z.AI ·OpenAI ·Moonshot AI ·OpenRouter

Pricing and benchmark data are provided for informational purposes only and are aggregated from publicly available third-party sources. Prices may not reflect the most current rates and actual costs may vary depending on your provider, plan, usage tier, billing method (e.g. on-demand, batch, or committed use), region, and other factors. Always verify information directly with the respective provider before making decisions. We are not affiliated with, endorsed by, or sponsored by any of the providers listed. All trademarks and model names are the property of their respective owners.